Writing.io Jobs

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

 

We are looking for a Senior Platform Engineer on behalf of our client to build, scale, and maintain an Internal Developer Platform (IDP) that empowers application software teams to ship code safely, independently, and rapidly. In this role, you will treat the developer platform as a product—building self-service infrastructure abstractions, automated CI/CD capabilities, and guardrails that eliminate operational toil for product developers.

 

What we’re looking for:

 

• 5+ years of hands-on experience in platform engineering, site reliability engineering (SRE), or core DevOps, with a proven track record of designing and delivering Internal Developer Platforms (IDPs).

• Expert-level mastery of Kubernetes administration, custom controller/operator architectures, service meshes (Istio/Linkerd), and continuous delivery via GitOps tools (ArgoCD or Flux).

• Deep proficiency using Terraform, OpenTofu, or Pulumi to construct modular, reusable infrastructure blueprints across cloud environments (AWS, GCP, or Azure).

• Strong programming skills in Go or Python to build custom platform extensions, CLI tools, Kubernetes operators, and API integrations.

• Practical experience building or integrating developer portals (e.g., Backstage, Port) and automated workflow engines to abstract infrastructure complexity.

• Hands-on experience establishing end-to-end telemetry standards using Prometheus, Grafana, and OpenTelemetry for metric, log, and trace aggregation.

 

Nice-to-Have:

 

• Experience with cloud-native control plane abstractions like Crossplane.

• Exposure to FinOps practices, container cost monitoring (e.g., Kubecost), and automated resource optimization.

• Active contributions to open-source cloud-native projects (CNCF ecosystem).

• Strong background in zero-trust security controls, secrets management (HashiCorp Vault), and compliance automation.

 

Responsibilities:

 

• Architect, build, and maintain self-service platform tools and developer portals that enable product teams to independently provision infrastructure, manage environments, and deploy services.

• Maintain robust, automated GitOps delivery pipelines using ArgoCD/Flux, establishing safe deployment practices (canary, blue-green, automated rollbacks).

• Maintain cluster health, upgrade lifecycles, autoscaling policies, and security policies across multi-region Kubernetes deployments.

• Write production-grade Go/Python code to build custom Kubernetes operators, CLI utilities, and API automation to streamline developer workflows.

• Establish platform-wide SLI/SLO tracking, implement centralized logging and tracing infrastructure, and enforce automated security and cost-compliance policies across environments.

 

What we offer:

Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.


Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-platform-engineer

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

 

We are looking for a Senior Cloud Engineer specializing in Microsoft Azure on behalf of our client to design, automate, and maintain high-availability cloud infrastructure. In this role, you will take operational ownership of enterprise Azure landing zones, container orchestration, and CI/CD pipeline automation—ensuring high reliability, cost efficiency, and zero-trust security compliance. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

 

What we are looking for:

• 5+ years of hands-on cloud engineering experience managing enterprise Microsoft Azure environments, spanning compute, networking (VNets, ExpressRoute, Application Gateways), and storage tiers.
• Advanced mastery of Terraform or Bicep for provision automation, drift detection, and maintaining state files across multi-subscription environments.
• Proven track record building, securing, and scaling Azure Kubernetes Service (AKS) clusters, managing ingress controllers, and deploying applications using Helm charts.
• Deep proficiency in constructing automated build and deployment pipelines using Azure DevOps or GitHub Actions, enforcing automated security scanning, policy compliance, and zero-downtime releases.
• Solid understanding of cloud security governance using Microsoft Entra ID (formerly Azure AD), Azure Key Vault, Azure Policy, and implementing Role-Based Access Control (RBAC) under a Zero Trust model.
• Experience configuring end-to-end monitoring and alerting using Azure Monitor, Log Analytics, Application Insights, or third-party platforms (Datadog, Dynatrace).
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Nice-to-have:

• Azure certifications such as AZ-104 (Azure Administrator), AZ-305 (Azure Solutions Architect), or AZ-400 (DevOps Engineer Expert).
• Programming literacy in Python, Go, or PowerShell/Bash for infrastructure scripting and operator development.
• Experience with cloud cost optimization frameworks (FinOps) and managing Azure Cost Management policies.
• Exposure to hybrid cloud configurations or Azure Arc implementations.

 

Responsibilities:

• Architect and deploy enterprise-grade Azure infrastructure using Terraform/Bicep, maintaining modular IaC libraries and strict state management workflows.
• Provision, patch, and optimize Azure Kubernetes Service (AKS) clusters, managing autoscaling, ingress routing, and service mesh policies.
• Design, maintain, and secure automated CI/CD pipelines in Azure DevOps/GitHub Actions to accelerate developer deployment cycles.
• Enforce Azure Policy guardrails, audit IAM roles via Entra ID, manage secret rotation in Key Vault, and mitigate vulnerabilities identified by Defender for Cloud.
• Monitor system metrics, respond to infrastructure incidents, conduct root-cause analyses (RCA), and optimize cloud resource utilization to drive cost efficiencies.

 

What we offer:

  Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.   Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.   Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.   Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.   Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched positions.   One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.   Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-cloud-engineer-azure

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

 

We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure to join our fast-growing Network. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

 

What we’re looking for:

• 5+ years in Data Engineering roles.
• Advanced SQL knowledge: complex queries, performance tuning, stored procedures.
• Strong understanding of Azure technologies: Azure SQL Database, Data Factory, etc.
• Proven experience in ETL development, data integration, and pipeline orchestration.
• Deep understanding of data modeling principles and data warehouse architectures.
• Knowledge of data governance principles, data quality management, and data security best practices.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Nice-to-have:

• Familiarity with Azure Synapse Analytics, Data Lake, and Azure DevOps.
• Expert in Power BI development, including Power Query, DAX, and Power BI Service.
• Experience with Python or other scripting languages for data processing.
• Git or other version control systems for collaboration and CI/CD practices.
• Microsoft certifications (Power BI, Azure Data Engineer, or SQL Server).

 

Responsibilities:

• Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services.
• Implement complex data models, DAX measures, and calculated columns to support reporting.
• Manage and optimize ETL workflows, ensuring data quality, consistency, and high performance.
• Design and maintain data warehouses and dimensional models (e.g., star/snowflake schema).
• Collaborate with analysts, developers, and stakeholders to translate business requirements into technical solutions.
• Integrate data from various sources, including SQL databases, cloud storage, APIs, and flat files.
• Ensure data governance, accuracy, and integrity across the BI ecosystem.

What we offer:

Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.


Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-azure-3

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

 

We are looking for a Senior Salesforce CRM Developer on behalf of our client to lead the custom development, integration, and optimization of enterprise Salesforce instances. In this role, you will take technical ownership of scalable CRM architectures—engineering custom Apex backend logic, building modern Lightning Web Components (LWC), and integrating Salesforce with external ERPs, marketing automation platforms, and data warehouses.

 

What we’re looking for:

• 5+ years of dedicated, hands-on development experience across Salesforce Sales Cloud and Service Cloud, with expert-level proficiency in Apex (classes, triggers, batch jobs, queueables) and Lightning Web Components (LWC).
• Advanced knowledge of SOQL and SOSL, with a proven ability to design scalable data models (custom objects, junction objects, big objects) while optimizing queries to prevent governor limit exceptions in high-volume environments.
• Extensive experience building, consuming, and securing external web services using REST/SOAP APIs, Named Credentials, OAuth2 authorization flows, and platform event integration (Pub/Sub API, MuleSoft).
• Strong mastery of enterprise design patterns in Apex (Trigger Frameworks, Service Layer, Selector Layer, Domain Layer) and declarative vs. programmatic trade-off analysis.
• Hands-on experience with Salesforce CLI, source-driven development (SFDX), Git workflows, unit testing enforcing >85% code coverage, and CI/CD tools (Copado, Gearset, or GitHub Actions).
• Active Salesforce Certified Platform Developer I & II (PD1 / PD2) certifications are highly preferred.
• Strong communication skills in English, both written and verbal.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Nice-to-have

• Experience with Salesforce CPQ, OmniStudio (Vlocity), or Experience Cloud implementations.
• Certifications such as Salesforce Certified Data Architecture & Management Designer or Integration Architecture Designer.
• Exposure to Data Cloud (CDP), CRM Analytics (Tableau CRM/Einstein Analytics), or AI features (Agentforce/Einstein 1).
• Background in migrating legacy Visualforce pages and Aura components to modern LWC.

 

Responsibilities:

• Design, write, and maintain high-quality Apex code, custom LWC user interfaces, and asynchronous backend processing frameworks.
• Architect and build secure, bidirectional integrations between Salesforce and third-party enterprise platforms (e.g., SAP, HubSpot, BigQuery) using REST/SOAP APIs and middleware.
• Profile execution logs, optimize complex trigger handlers, and refactor inefficient legacy code to guarantee rapid page loads and bulk data processing stability.
• Manage source-driven deployments using Salesforce CLI and Git-based CI/CD pipelines, ensuring safe environment sandbox management and release predictability.
• Partner with Salesforce Architects, Business Analysts, and product owners to translate enterprise business needs into robust, scalable technical blueprints.

   

What we offer:

  Get paid, not played
No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours
Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge
Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies
Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you
Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities
A one-time contracting process for endless opportunities, with no extra assessments.


Compensation
Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-salesforce-crm-developer

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

 

We are looking for a Senior Adobe Commerce Developer to architect and build enterprise-grade e-commerce experiences for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

 

What we are looking for:

 

• 5+ years of deep experience with Magento 2 / Adobe Commerce (including B2B and Cloud editions).
• Proficiency in PHP 8.x, MySQL, and specialized search technologies like OpenSearch/Elasticsearch or Adobe Live Search.
• Expert knowledge of GraphQL, REST APIs, and building decoupled commerce experiences.
• Strong experience with Tailwind CSS, Alpine.js (for Hyvä), or React (for PWA Studio).
• Familiarity with Adobe Commerce Cloud (ECE), Docker, and CI/CD pipelines (GitHub Actions/Bitbucket Pipelines).
• Adobe Certified Professional/Expert/Master (Developer) is a significant plus.
• Intermediate-advanced English level.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Responsibilities:

 

• Design and implement scalable, secure, and high-performance Adobe Commerce solutions (Cloud and On-premise).
• Lead the shift from core overrides to out-of-process extensibility using Adobe App Builder and API-first methodologies.
• Optimize backend performance, SQL queries, and caching strategies (Redis, Varnish, Fastly) to handle massive traffic surges.
• Develop and maintain cutting-edge frontends using Hyvä, PWA Studio, or traditional Luma, ensuring a top-tier Core Web Vitals score.
• Build and manage complex integrations with third-party ERP, CRM, and PIM systems via Adobe I/O Events and RabbitMQ.
• Conduct rigorous code reviews, mentor mid-level developers, and maintain high standards for TDD and automated testing.

 

What we offer:

 

Get paid, not played

No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.

Predictable project hours

Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.

Career-accelerating positions at cutting-edge companies

Discover exclusive long-term remote positions at the world's most exciting companies.

Hand-picked opportunities just for you

Skip the typical recruitment roadblocks and biases with personally matched positions.

One seamless process, multiple opportunities

A one-time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.

 

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-magento-developer-4

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

We are looking for a Senior Azure DevOps Engineer for one of our clients who would be responsible for ensuring the reliability, security, and scalability of Azure-based systems. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

 

What we are looking for:

• 5+ years of proven experience as a DevOps Engineer with a strong focus on Azure.

• In-depth knowledge of Azure services and architecture, including Azure VMs, Azure App Service, Azure Functions, and more.

• Proficiency in scripting languages (e.g., PowerShell, Bash) and automation tools.

• Experience with containerization and orchestration tools (Docker, Kubernetes, AKS).

• Familiarity with Infrastructure as Code (IaC) principles and tools (ARM templates, Terraform).

• Experience with version control systems (e.g., Git) and agile development methodologies.

• Strong problem-solving skills and attention to detail.

• Excellent communication and teamwork skills.

• Located in the CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Nice-to-have:

• Azure certifications (e.g., Azure DevOps Engineer Expert) are a plus.

 

Responsibilities:

• Design, implement, and manage scalable and highly available cloud infrastructure on Microsoft Azure.

• Develop and maintain automation scripts using tools such as Azure Resource Manager (ARM) templates, Terraform, and scripting languages (e.g., PowerShell, Bash) to automate infrastructure provisioning and configuration.

• Establish and optimise CI/CD pipelines using Azure DevOps, GitHub Actions, and other relevant tools to automate software deployment.

• Implement and manage containerized applications using Azure Kubernetes Service (AKS) and orchestrate containers using Docker and Kubernetes.

• Implement Infrastructure as Code principles to define and manage infrastructure resources.

• Set up monitoring and logging solutions using Azure Monitor, Azure Log Analytics, and other relevant tools to ensure the health and performance of Azure resources.

• Implement security measures and best practices for Azure resources, ensuring a secure and compliant infrastructure.

• Collaborate with development, operations, and security teams to understand requirements and implement effective cloud solutions.

• Develop and maintain disaster recovery plans and ensure the resilience of Azure-based systems.

• Identify and address performance bottlenecks, optimise Azure resources, and implement best practices for efficiency.

• Create and maintain technical documentation for Azure infrastructure, deployment processes, and best practices.

• Provide guidance and mentorship to junior DevOps engineers and team members, fostering a culture of continuous learning and improvement.

 

What we offer:

  Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.   Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.   Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.   Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.   Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched positions.   One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.   Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-devops-engineer-azure-8

Headquarters: Brazil

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impactTogether, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net

Our customer is an international health products company headquartered in the United States. The client has been on the market for over 30 years. Annual revenue is more than $1.5b and keeps growing.

They use an e-commerce platform with multi-level marketing to distribute their products, which has a lot of users around the world.

• 8+ years of professional web development experience, with at least 5 years dedicated to developing on the Shopify platform
• Expert-level proficiency in the Liquid templating language, Online Store 2.0 architecture, sections and blocks, metafields, theme app extensions, with deep expertise with Shopify CLI
• Deep understanding of the Shopify Storefront API, Admin API (preferably GraphQL), App Bridge, webhooks, and integrating apps for subscriptions, search, reviews, loyalty, and analytics
• Proven track record of launching and optimizing large-scale, high-traffic e-commerce platforms with complex business flows
• Experience with headless Shopify implementations using Hydrogen/Remix or Next.js, including edge rendering and advanced caching strategies
• Proficient in React, Node.js, serverless technologies (Cloudflare/AWS), GraphQL tooling
• Strong background in HTML, CSS/SCSS, modern JavaScript/TypeScript, and optimizing DOM performance
• Expertise in performance optimization techniques, tools, and processes (especially Core Web Vitals, CDN caching) and conversion rates at scale
• Familiarity with Git/GitHub workflows, code reviews, and CI/CD processes

Nice to have skills

• Expertise in A/B testing, feature flagging, and integrating solutions for payments, fraud prevention, tax/duties, subscriptions, and ERP/PIM systems
• Strong background in building custom or private Shopify apps, including OAuth and secure key management
• A bachelor's degree in computer science or a related field
• Experience with testing frameworks (e.g., Jest, Cypress) for e-commerce environments
• Spanish (B2 level)

Responsibilities

• Design and maintain the structural components of our online presence, including themes, templates, sections, and app extensions, by leveraging Liquid, JSON, HTML/CSS, and JavaScript/TypeScript.
• Engineer complex Shopify features such as custom logic for checkout, cart, and pricing using Shopify Functions. Implement Checkout Extensibility and manage essential data exchanges through webhooks and custom/private app integrations utilizing the platform's GraphQL and REST APIs.
• Enhance Performance & SEO by overseeing core Web Vitals, optimizing images and CDN, applying lazy loading, and incorporating structured data; ensure markup is semantic and crawlable.
• Set up Shopify Markets, including domains or subfolders, currencies, duties and taxes, translations, and price lists; enable multi-region catalogs to facilitate internationalization.
• Implement automated testing using Playwright/Cypress and Jest, incorporate type safety with TypeScript, and set up CI/CD pipelines (such as GitHub Actions).
• Define performance budgets and establish monitoring to maintain high standards of quality and reliability.
• Deliver accessible user experiences that conform to WCAG standards by supporting keyboard navigation, implementing appropriate landmarks, and utilizing ARIA attributes.
• Collaborate closely with Design (using Figma), Content, and Growth teams, ensuring code quality by conducting code reviews and providing mentorship to junior and mid-level engineers.
• Track production metrics such as errors, vitals, and uptime; analyze user funnels using GA4, GTM, and Search Console; and continuously iterate to enhance conversion rate (CVR) and average order value (AOV).

• Awesome projects with an impact
• Udemy courses of your choice
• Team-buildings, events, marathons & charity activities to connect and recharge
• Workshops, trainings, expert knowledge-sharing that keep you growing
• Clear career path
• Absence days for work-life balance
• Flexible hours & work setup - work from anywhere and organize your day your way

To apply: https://weworkremotely.com/remote-jobs/intellectsoft-senior-shopify-full-stack-developer-ir-471

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unlock AI.

We’re looking for a Software Engineer to join the PM Benchmarking team in Mexico City. This team designs and executes competitive performance testing that benchmarks MongoDB against alternative technologies, while also building the reusable tooling, frameworks, and engineering practices needed to scale that work over time.

This role is a strong fit for an engineer who wants meaningful hands-on coding time, enjoys performance analysis, and is motivated by turning ambiguous technical questions into clear plans, repeatable systems, and high-impact outputs. You will work across the full lifecycle of a benchmark initiative: design, code, run, analyze, and communicate findings. You will also help improve the internal tooling and engineering workflows that make this work faster, more reliable, and more useful across MongoDB.

We are looking to speak to candidates who are based in Mexico City for our hybrid working model.

What you’ll do

• Design performance and benchmarking workloads that reflect realistic customer or product scenarios
• Build and improve production-quality internal tooling, test harnesses, automation, and reusable workload components
• Write and maintain code primarily in Python, while adapting to adjacent tools and technologies as needed
• Run benchmarks across cloud environments and database platforms, with attention to fairness, noise reduction, cost, and repeatability
• Analyze latency, throughput, scalability, and infrastructure signals to identify bottlenecks and explain results clearly
• Translate broad business or engineering questions into scoped technical plans, success criteria, and execution milestones
• Partner closely with Engineering, Product, Sales, and other stakeholders to ensure testing work is relevant and actionable
• Produce clear technical documents, reports, and summaries that connect findings to product decisions and field value
• Help shape team standards for documentation, onboarding, prioritization, and benchmark execution as the team continues to mature
• Mentor peers where appropriate and contribute to a collaborative, low-ego engineering culture

What we’re looking for

• 5+ years of experience building, debugging, and improving distributed and/or highly concurrent software systems
• Strong software engineering fundamentals, including writing maintainable code, profiling performance, and debugging complex issues
• Hands-on experience with MongoDB architecture, MongoDB Query Language (MQL), and MongoDB performance tuning
• Hands-on experience with performance testing methodologies such as load, stress, latency, or scalability testing
• Experience designing and implementing benchmarking or performance-validation workflows
• Strong coding skills in Python or a similar language, plus the ability to learn new stacks quickly
• Strong hands-on experience with at least one of the three major cloud providers used for this role, AWS, Azure or GCP, including the practical trade-offs involved in running reliable applications at scale
• Strong hands-on experience with PostgreSQL, MySQL, Aurora, Cassandra, or other competing data platforms
• Ability to reason about relational and document data models, distributed systems behavior, and infrastructure bottlenecks
• Strong written and verbal communication skills, especially when explaining technical findings to different audiences
• Ability to work with ambiguity, define structure where needed, and operate with a high degree of ownership and autonomy
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

Nice to have

• Experience with CI/CD systems and integrating automated tests into engineering workflows
• Experience creating reusable technical documentation, runbooks, or internal playbooks

Success in this role

In your first 30 days

• Build a clear understanding of the team’s current workloads, tooling, roadmap, and stakeholder landscape
• Complete onboarding and identify the main technical systems, docs, and knowledge gaps relevant to your work
• Start contributing code, review feedback, and execution support on active benchmark efforts

In your first 90 days

• Independently contribute to the design, coding, execution, and analysis of multiple benchmark initiatives
• Improve at least one area of the team’s tooling, documentation, or execution workflow
• Build strong working relationships with key cross-functional partners

In your first 6 months

• Own meaningful benchmark or tooling work from scoping through delivery
• Improve repeatability, clarity, or efficiency in how the team designs, runs, or reports on tests
• Contribute to mentorship, documentation, or process improvements that increase team autonomy

In your first 12 months

• Be a trusted technical contributor across benchmark design, tooling, and analysis
• Influence how the team prioritizes and scales its work
• Expand your scope through technical leadership, cross-functional collaboration, and deeper ownership of systems and processes

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation, please inform your recruiter.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 3273538787

Hybrid

Lokation: Prague 8, HO 50 %

Languages: Fluent English and Czech

Level: Senior

Form of cooperation: Contraktor

Start date: asap

Allocation: Full-Time

Allocation length: Long term

The Role:

We are looking for an experienced Senior DevOps Engineer to join our team in Prague. In this role, you will maintain, operate, and incrementally improve our established Google Cloud Platform (GCP) and Kubernetes/OpenShift architecture. You will ensure the reliability and continuous optimization of our GitOps delivery practices (ArgoCD) and GitHub-based automation.

Your Tasks & Responsibilities:

• Cloud Platform Engineer: Build and support resilient, secure, and scalable enterprise-grade infrastructure across Google Cloud Platform (GCP).
• GitOps & Delivery Automation: Build and standardize declarative GitOps workflows using ArgoCD and robust, secure CI/CD pipelines via GitHub Actions.
• Kubernetes & Container Orchestration: Manage Google Kubernetes Engine (GKE) clusters, ensuring optimal performance, service mesh reliability, and automated lifecycle management. Deliver deployment to a production OpenShift cluster and provide support.
• Infrastructure as Code (IaC): Treat everything as code - author and maintain modular, reproducible infrastructure and configuration using Terraform and modern configuration management.
• High Availability & Zero Downtime: Ensure maximum resilience, fault tolerance, multi-zone/multi-region disaster recovery, and continuous delivery for 24⁄7 financial risk systems.
• Observability & Reliability: support monitoring topics (metrics, logs, traces) using Prometheus, Grafana, OpenTelemetry, and GCP Cloud Operations.
• Collaboration: Collaborate closely with developers, platform teams, architects, and security specialists

Your Profile & Qualifications:

• Cloud Engineering (GCP): Deep, hands-on architectural and operational expertise across the GCP ecosystem (IAM, VPC, Compute Engine, GKE, Secret Manager etc.) backed by multiple years of production experience.
• GitOps & CI/CD: Proven track record implementing declarative GitOps pipelines with ArgoCD and building scalable, secure delivery workflows using GitHub Actions.
• Containerization & Orchestration: Strong production experience with Kubernetes (GKE preferred), container runtimes, Helm, Kustomize, and container security.
• Infrastructure as Code: Proficiency with Terraform in collaborative enterprise environments.
• Advanced AI Competency: Strong understanding and active adoption of modern AI/GenAI technologies.
• System Internals & Scripting: Strong proficiency in Linux fundamentals, systems engineering, and automation scripting (Python, Bash, or Go).
• Reliability Mindset: Demonstrated experience architecting and operating mission-critical systems with strict SLAs, low latency, and zero-downtime requirements.

Desirable / Nice to Have:

• Relevant GCP certifications (e.g., Google Cloud Professional Cloud Architect, Google Cloud Professional Cloud DevOps Engineer).
• Experience with Service Mesh architecture (Istio / Anthos Service Mesh) and zero-trust security models.
• Familiarity with modern observability frameworks, ideally with Grafana Cloud.
• Prior exposure to financial market infrastructure, trading/clearing platforms, or quantitative risk management systems.

WEB

• title=Senior DevOps Engineer in Risk
• job=devops

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Family:SAAS/PAAS/Cloud Application DevelopmentTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:• Design, develop, configure, and maintain ServiceNow solutions that support enterprise IT service management and platform capabilities.

Senior Platform Engineer

What we’re looking for

SMG is looking for a Senior Platform Engineer to design, support, and improve the core infrastructure that keeps our platform reliable, secure, performant, and recoverable. This role works across cloud, network, identity, messaging, virtualization, and security environments, partnering with IT and security teams to resolve complex incidents, improve platform standards, automate repeatable work, and strengthen engineering practices across the team.

What you’ll do

• Lead and coordinate responses to complex infrastructure, identity, networking, security, and cloud incidents to restore service, reduce risk, and drive long-term corrective actions.
• Provide senior-level technical guidance and escalation support across identity, messaging, cloud, virtualization, and security platforms to improve issue resolution and team effectiveness.
• Optimize the performance, reliability, and cost efficiency of cloud services and on-premises infrastructure.
• Collaborate with security and IT partners to strengthen disaster recovery, backup, and recoverability practices that support business continuity.
• Administer and improve enterprise network and security technologies, including Azure networking, Cisco ASA/ISE, Cisco Umbrella, and F5 load balancing, to enable secure and resilient connectivity.
• Automate repeatable administration and operational tasks using scripting and engineering best practices to improve efficiency, consistency, and accuracy.
• Lead or support application and infrastructure migrations to cloud environments while minimizing operational disruption and preserving service continuity.
• Advance engineering enablement and site reliability practices by building reusable platform capabilities, improving observability and operational standards, reducing toil, and strengthening service resilience.

What success looks like

• Within 30 days, build working knowledge of SMG’s platform infrastructure, operational standards, key dependencies, and incident-response practices across cloud, network, identity, messaging, virtualization, and security environments.
• Within 60 days, contribute independently to complex incident response and platform improvement work, identify opportunities to automate repeatable administration, and strengthen documentation, monitoring, or recoverability practices.
• Within 90 days, own senior-level platform engineering work across assigned environments, deliver meaningful reliability, automation, or resilience improvement, and provide technical guidance that strengthens engineering consistency across the team.

Why you’ll love SMG

• We work with some of the world’s biggest and most valued brands.
• We’re fully remote, and we’re staying that way.
• We offer competitive compensation and benefits, which include but aren’t limited to:

○ Unlimited PTO

○ Extended parental leave

○ Company-issued equipment and tools

○ A culture built on connection, collaboration, and continuous improvement

What you’ll bring

• Bachelor’s degree or equivalent work experience.
• 5+ years of experience in platform engineering, cloud infrastructure, DevOps, network engineering, or related technical roles supporting production environments.
• Experience designing, operating, and improving cloud and hybrid infrastructure platforms in enterprise or SaaS environments.
• Advanced knowledge of networking protocols and enterprise networking/security practices across data center and cloud environments, including Azure, AWS, or GCP architectures and operational frameworks.
• Proficiency with virtualization technologies; automation and scripting using PowerShell, Bash, Python, or similar languages; and monitoring, performance analysis, and troubleshooting of distributed infrastructure systems.

Who we are

SMG is an experience management (XM) partner to many of the world’s leading restaurant, retail, and consumer services brands.

With 30+ years of history under our belt, we pair an AI-native enterprise software platform with unmatched professional services to help organizations generate new revenue, grow existing revenue, reduce detractors, and drive operational efficiencies.

Like what you see? Learn more about the company, our purpose and values, and our customer, employee, and brand experience management solutions at www.smg.com.

Our commitment to inclusion: SMG is proud to be an equal opportunity employer and is committed to creating an inclusive environment where everyone can thrive.

Location & eligibility: This is a remote role, subject to work authorization and employment eligibility requirements applicable to the role.

Company Description

Are you passionate about building production-grade AI systems that continuously learn and improve from real-world feedback? We are looking for a Senior ML Engineer / Data Scientist to help develop intelligent recognition and entity-matching solutions for a large-scale media data platform.

In this fully remote role across Europe, you will work with Large Language Models, evaluation frameworks, and cloud-based ML pipelines to improve automation quality and reduce manual processing efforts. You will collaborate closely with Data Engineering teams and Customer stakeholders while owning the ML lifecycle end-to-end.

We at Sigma Software create impactful technology solutions for global customers and provide engineers with opportunities to work on meaningful, high-scale products using modern AI technologies. This role offers significant ownership, challenging engineering tasks, and the ability to influence production AI systems at scale.

CUSTOMER

Our Customer operates a large-scale platform focused on processing and structuring advertising and media operational data. The company is actively investing in intelligent automation and machine learning solutions to improve recognition accuracy across multiple station and network layouts while minimizing manual intervention in data processing workflows.

PROJECT

The project focuses on building a self-learning Postlog and Prelog recognition system capable of automatically understanding new layouts, extracting structured data, and improving from production feedback. The solution leverages Large Language Models and modern ML practices to optimize recognition quality, entity matching, and confidence-based automation.

You will contribute to the development of scalable AI-driven workflows designed to achieve high automation accuracy, observability, and operational efficiency in production environments.

Job Description

• Design and develop a self-learning Postlog and Prelog recognition system using modern ML and LLM techniques
• Build and maintain versioned prompts, evaluation datasets, and few-shot exemplars
• Apply production-grade LLM practices including schema-constrained extraction, grounding strategies, and low-confidence fallback handling
• Improve recognition quality and optimize layout and header mapping performance
• Analyze production failures and enhance prompts, retrieval pipelines, and model behavior
• Run evaluation pipelines and shadow-mode comparisons against legacy systems and gold datasets
• Monitor confidence scores, latency, operational quality, and infrastructure costs
• Develop entity-matching systems for Station, Advertiser, and CreativeID master data
• Implement confidence scoring, thresholding, and auditability mechanisms
• Transform human and machine corrections into labeled signals for continuous model improvement
• Monitor prompt and model drift in production environments
• Collaborate with Data Engineering teams on ML integration and operationalization
• Communicate technical findings and recommendations to engineering teams and Customer stakeholders

Qualifications

• At least 5 years of experience in Machine Learning, Data Science, or ML Engineering
• Proven experience delivering ML models or LLM-powered systems into production
• Strong hands-on experience with Large Language Models in real products or pipelines
• Deep understanding of prompt engineering, prompt versioning, evaluation methodologies, and grounding strategies
• Experience handling low-confidence scenarios and optimizing cost and latency for LLM systems
• Strong Python and SQL skills
• Solid knowledge of statistics, confidence estimation, sampling, hypothesis testing, and threshold optimization
• Experience with classification, ranking, matching, or recommendation-related problems
• Understanding of offline evaluation metrics, holdout validation, and production monitoring
• Hands-on experience with AWS cloud services including S3, IAM, CloudWatch, and orchestration services
• Strong communication and collaboration skills
• Upper-Intermediate English level or higher

WILL BE A PLUS

• LLM-related certifications
• Experience with Amazon Bedrock or equivalent enterprise LLM platforms
• Production experience with Claude/Sonnet-class models
• Experience with Excel or layout extraction systems
• Knowledge of confidence calibration, active learning, or weak supervision techniques
• Experience with cost-aware LLM operations including caching, routing, and fallback models
• Advertising or media domain knowledge
• Familiarity with Glue, Airflow, or similar orchestration and data pipeline tools

Additional Information

PERSONAL PROFILE

• Strong ownership mindset
• Analytical and data-driven thinking
• Ability to work independently in ambiguous environments
• Continuous improvement approach
• Attention to quality and operational excellence
• Effective collaboration and communication skills

Senior Data Engineer

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking a Senior Data Engineer to lead the design, development, optimization, and operation of enterprise data pipelines and data platform components within the Microsoft Fabric environment.

The Senior Data Engineer will provide hands-on technical leadership across data ingestion, transformation, platform administration, security, automation, and deployment activities. This role will be responsible for implementing scalable medallion architectures, establishing reliable development and deployment practices, and ensuring data platforms meet security, availability, performance, and data quality requirements.

The Senior Data Engineer will also mentor Data Engineers and Associate Data Engineers, provide technical problem-solving support, and help establish engineering standards and best practices across data workstreams.

Responsibilities

• Lead the design, development, and optimization of enterprise data ingestion pipelines, transformation logic, and data platform components within Microsoft Fabric
• Design and implement scalable ETL and ELT architectures supporting structured and semi-structured enterprise data
• Configure, administer, and maintain Microsoft Fabric environments, including:
  • Tenant administration
  • Workspace architecture
  • Capacity management
  • Security configuration
  • Environment governance
• Implement and maintain Bronze, Silver, and Gold medallion architecture layers
• Develop data transformation processes incorporating schema validation, cleansing, normalization, enrichment, and reconciliation
• Establish data quality monitoring, validation controls, automated testing, and alerting for pipeline and data-quality failures
• Design and implement development, test, staging, and production environment separation
• Build and maintain CI/CD deployment pipelines for data platform components, pipelines, notebooks, configurations, and related artifacts
• Implement infrastructure-as-code approaches for repeatable, version-controlled data platform deployments
• Develop and optimize Spark, PySpark, SQL, and related data-processing workloads
• Configure and maintain data security controls, including:
  • Encryption
  • Role-Based Access Control (RBAC)
  • Microsoft Entra ID integration
  • Privileged Identity Management
  • Least-privilege access controls
• Support secure integration between Microsoft Fabric and enterprise source systems
• Design and support hybrid connectivity between on-premises and cloud environments
• Troubleshoot complex pipeline, platform, performance, connectivity, and data-quality issues
• Optimize pipelines and data workloads for performance, scalability, reliability, and cost
• Support disaster recovery and business continuity planning for data platforms and pipelines
• Develop, document, and execute rollback, recovery, and restoration procedures
• Conduct recovery and rollback testing to validate continuity procedures
• Establish reusable engineering patterns, standards, and technical documentation for data platform implementation
• Collaborate with Data Architects, Data Governance Specialists, cybersecurity teams, application teams, and source-system owners to define technical solutions
• Participate in architecture reviews and provide technical recommendations for data platform modernization and integration efforts
• Mentor mid-level and Associate Data Engineers
• Review technical implementations and provide guidance on pipeline design, code quality, performance, security, and maintainability
• Provide senior-level technical problem-solving support for complex data engineering challenges
• Support knowledge transfer and operational transition of implemented data platform capabilities

Qualifications

• Significant experience designing and implementing enterprise data pipelines, ETL/ELT processes, and cloud-based data platforms
• Hands-on experience with Microsoft Fabric
• Experience administering or configuring enterprise cloud data environments
• Strong experience with Azure Data Factory or comparable data integration technologies
• Strong SQL proficiency
• Experience with Spark and PySpark for large-scale data processing and transformation
• Experience implementing enterprise ETL/ELT frameworks
• Experience designing and implementing medallion architectures using Bronze, Silver, and Gold data layers
• Experience with schema validation, data cleansing, normalization, reconciliation, and data quality controls
• Experience developing CI/CD pipelines for data platform deployments
• Experience implementing infrastructure-as-code
• Experience with source control, automated deployment, and environment promotion processes
• Understanding of cloud security principles, including RBAC, identity integration, encryption, and least-privilege access
• Experience troubleshooting complex data pipeline, platform, and integration issues
• Experience supporting production data environments with availability, reliability, and performance requirements
• Strong technical documentation and communication skills
• Experience mentoring or providing technical leadership to other engineers
• Active Secret clearance

Preferred Qualifications

• Microsoft Certified: Fabric Analytics Engineer Associate
• Advanced experience with Microsoft Fabric Lakehouse architecture
• Experience configuring Microsoft Fabric tenants, capacities, workspaces, and deployment pipelines
• Experience with Microsoft Entra ID and Privileged Identity Management
• Experience with Azure DevOps, GitHub Actions, GitLab CI/CD, or comparable CI/CD platforms
• Experience with Terraform, Bicep, ARM templates, or comparable infrastructure-as-code technologies
• Experience designing automated data quality monitoring and alerting
• Experience supporting hybrid on-premises and cloud data environments
• Experience implementing disaster recovery, rollback, and business continuity procedures for enterprise data platforms
• Experience with enterprise data governance, metadata management, lineage, and security controls
• Experience working within Department of Defense or other federal data environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

As a Site Reliability Engineer in the R&D Infrastructure department in our Tel Aviv Office, you’ll own the path every request takes before it reaches a service: The CDN edge, the anycast VIPs behind it, a large fleet of open source load balancers and service mesh components. At peak that chain carries millions requests per second on the way to serving tens of billions of recommendations a day.

We need a networking specialist who doesn’t stop at the wire. You bring in depth networking knowledge, native Linux fluency and modern coding practices with the diagnostic intuition to debug complex interactions between BGP enabled nodes, reverse proxies and application logs.

To thrive in this role, you’ll need:

• 5+ years running production organization with internet-facing traffic infrastructure at very large scale, with deep understanding of TCP/IP stack (BGP, anycast, ECMP, DNS-based traffic steering, TCP, TLS, HTTP/2 and HTTP/3).
• Deep hands-on ownership of L7 proxies in production: Nginx, HAProxy or Envoy/Istio, covering configuration at scale, performance tuning and the class of bugs that only appear under real load.
• Production experience with a commercial CDN such as Fastly, Cloudflare, Akamai or CloudFront, including edge logic, cache policy and origin protection.
• Fluency in Linux networking internals and packet-level diagnosis: tcpdump, conntrack, nftables/iptables, socket and TCP tuning.
• Coding ability that goes past scripting. You will be building tooling and not only editing configuration files.
• Kubernetes networking depth covering CNI internals, kube-proxy, ingress and east-west traffic policy.

Bonus points if you have:

• A background in traffic observability, whether flow telemetry, real-user monitoring or synthetic probing across regions.

How you’ll make an impact:

• Own the full path a request takes from user to service: CDN configuration, TLS termination, load-balancing policy and failover behavior.
• Move our proxy and CDN configuration into code with review, testing and staged rollout replacing hand edits in production.
• Lead the cross-layer investigations nobody else can close from an anycast withdrawal down to a single misbehaving upstream.
• Plan capacity and drain procedures for the traffic tier so that losing a POP or an entire data center stays invisible to users.
• Take part in the on-call rotation, lead incident response and turn post-mortems into permanent fixes in the traffic layer.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning with smart, talented people:

• Adam Singolda, Taboola Founder and CEO says: “You can copy anything from another business, but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
• Flexibility: We offer a hybrid work schedule (3 days in-office) with flexibility.
• Work with global leaders: Our publisher partners include Yahoo, Fox Sports, NBCU, ESPN, and CBS, while our clients include major global brands.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-ID

ALTEN Mexico, is a leading engineering company that specializes in providing innovative solutions for engineering, technology, and product development projects. We work directly with different industries including Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail; offering services ranging from project design development to test/validation, programming, implementation, and manufacturing.

ALTEN Mexico as a subsidiary of the ALTEN Group. Currently working with international clients, and we are looking for a CFD Analyst and a FEA Analyst who will contribute to the development of an Iron Air Battery, a large-scale energy storage solution, through advanced Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA). The goal is to ensure the performance, safety, and durability of mechanical, thermal, and airflow components, optimizing the design for scalability and efficiency in grid-level applications.

📍 Location: Remote

🕒 Experience Level: CFD Analyst (5+ years) / FEA Analyst (+3 years)

🌐 English: B2–C1

Key Responsibilities

• Perform CFD simulations to analyze fluid behavior, heat transfer, and pressure distribution in the battery system.
• Conduct FEA analyses to evaluate structural strength, fatigue, and durability of critical components.
• Optimize designs for thermal efficiency, mechanical integrity, and weight reduction.
• Validate models through experimental testing and real-world data comparison.
• Collaborate with mechanical, thermal, and design teams to integrate analysis results into product development.
• Generate technical reports with recommendations for design improvements.
• Ensure compliance with industry standards (e.g., ASME, ISO, UL, IEC).

Must‑Have Qualifications

• Bachelor’s or Master’s degree in Mechanical, Aerospace, or related Engineering fields.

• Heat transfer and fluid dynamics knowledge

• 3+ years of experience in ANSYS Fluent, OpenFOAM, STAR-CCM+ for fluid dynamics analyses

• 3+ years of experience in ANSYS Mechanical, Abaqus, Nastran, SolidWorks Simulation for static/dynamic analysis.

• Ability to Participate in design review meetings and support the creation of technical specifications to align analyses with project goals.

• English level B2–C1.

Preferred Skills

• Multiphysics simulations (CFD-FEA coupling)
• Knowledge of iron-air batteries,
• Knowledge of NFPA 69
• Knowledge of IEC 62485
• Expertise with Python/MATLAB

Soft Skills

• Strong communication and cross‑functional collaboration.

• Technical leadership and decision‑making capability.

• Problem‑solving and analytical thinking.

• Time management and ability to operate under tight deadlines.

• Detail‑oriented mindset with strong documentation discipline.

• Supplier coordination and negotiation skills.

• Continuous improvement and robust design focus.

• Competitive salary

• Benefits above those required by law

• Career growth and development plan

• Remote work scheme

Company Description

Are you passionate about building production-grade AI systems that continuously learn and improve from real-world feedback? We are looking for a Senior ML Engineer / Data Scientist to help develop intelligent recognition and entity-matching solutions for a large-scale media data platform.

In this fully remote role across Europe, you will work with Large Language Models, evaluation frameworks, and cloud-based ML pipelines to improve automation quality and reduce manual processing efforts. You will collaborate closely with Data Engineering teams and Customer stakeholders while owning the ML lifecycle end-to-end.

We at Sigma Software create impactful technology solutions for global customers and provide engineers with opportunities to work on meaningful, high-scale products using modern AI technologies. This role offers significant ownership, challenging engineering tasks, and the ability to influence production AI systems at scale.

CUSTOMER

Our Customer operates a large-scale platform focused on processing and structuring advertising and media operational data. The company is actively investing in intelligent automation and machine learning solutions to improve recognition accuracy across multiple station and network layouts while minimizing manual intervention in data processing workflows.

PROJECT

The project focuses on building a self-learning Postlog and Prelog recognition system capable of automatically understanding new layouts, extracting structured data, and improving from production feedback. The solution leverages Large Language Models and modern ML practices to optimize recognition quality, entity matching, and confidence-based automation.

You will contribute to the development of scalable AI-driven workflows designed to achieve high automation accuracy, observability, and operational efficiency in production environments.

Job Description

• Design and develop a self-learning Postlog and Prelog recognition system using modern ML and LLM techniques
• Build and maintain versioned prompts, evaluation datasets, and few-shot exemplars
• Apply production-grade LLM practices including schema-constrained extraction, grounding strategies, and low-confidence fallback handling
• Improve recognition quality and optimize layout and header mapping performance
• Analyze production failures and enhance prompts, retrieval pipelines, and model behavior
• Run evaluation pipelines and shadow-mode comparisons against legacy systems and gold datasets
• Monitor confidence scores, latency, operational quality, and infrastructure costs
• Develop entity-matching systems for Station, Advertiser, and CreativeID master data
• Implement confidence scoring, thresholding, and auditability mechanisms
• Transform human and machine corrections into labeled signals for continuous model improvement
• Monitor prompt and model drift in production environments
• Collaborate with Data Engineering teams on ML integration and operationalization
• Communicate technical findings and recommendations to engineering teams and Customer stakeholders

Qualifications

• At least 5 years of experience in Machine Learning, Data Science, or ML Engineering
• Proven experience delivering ML models or LLM-powered systems into production
• Strong hands-on experience with Large Language Models in real products or pipelines
• Deep understanding of prompt engineering, prompt versioning, evaluation methodologies, and grounding strategies
• Experience handling low-confidence scenarios and optimizing cost and latency for LLM systems
• Strong Python and SQL skills
• Solid knowledge of statistics, confidence estimation, sampling, hypothesis testing, and threshold optimization
• Experience with classification, ranking, matching, or recommendation-related problems
• Understanding of offline evaluation metrics, holdout validation, and production monitoring
• Hands-on experience with AWS cloud services including S3, IAM, CloudWatch, and orchestration services
• Strong communication and collaboration skills
• Upper-Intermediate English level or higher

WILL BE A PLUS

• LLM-related certifications
• Experience with Amazon Bedrock or equivalent enterprise LLM platforms
• Production experience with Claude/Sonnet-class models
• Experience with Excel or layout extraction systems
• Knowledge of confidence calibration, active learning, or weak supervision techniques
• Experience with cost-aware LLM operations including caching, routing, and fallback models
• Advertising or media domain knowledge
• Familiarity with Glue, Airflow, or similar orchestration and data pipeline tools

Additional Information

PERSONAL PROFILE

• Strong ownership mindset
• Analytical and data-driven thinking
• Ability to work independently in ambiguous environments
• Continuous improvement approach
• Attention to quality and operational excellence
• Effective collaboration and communication skills

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