Data/MLOps Engineer

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Contract role for a Senior Data Engineer with strong MLOps expertise to design and maintain end-to-end data and ML pipelines in Azure Databricks. The position focuses on building reproducible training and deployment workflows, implementing data quality and monitoring frameworks, and optimizing performance and cost in production environments. The engineer will also ensure security, compliance, and infrastructure consistency using IaC and CI/CD practices. 🗂️ Requirements: Senior-level experience in Data Engineering, Strong MLOps background, Hands-on experience with Azure Databricks (Workflows, Delta Lake, Unity Catalog), Proficiency in PySpark and SQL Warehouses, Experience building production-grade data and ML pipelines, Experience with CI/CD pipelines (GitHub Actions or Azure DevOps), Experience with monitoring and ML observability tools, Knowledge of data quality frameworks and drift detection, Experience with security, access management and compliance in data/ML environments, Experience with Infrastructure as Code using Terraform 📃 Skills: Azure, Databricks, PySpark, SQL, DeltaLake, UnityCatalog, CI/CD, GitHubActions, AzureDevOps, Lakeview, Grafana, Terraform, MLOps, IaC 🏢 Description: Senior Data Engineer / MLOps Remote, Poland B2B till August 160–180 PLN/h Responsibilities Design & maintain end-to-end data & ML pipelines (Databricks Workflows, Delta Lake, Unity Catalog) Build reproducible training & deployment workflows (experiment tracking, model registry, artifact management) Implement data quality frameworks, observability metrics, dashboards (Lakeview, Grafana) Automate ingestion & feature pipelines via PySpark, SQL Warehouses, DAB within CI/CD Manage security, access control & compliance in data/ML environments Optimize compute performance & cost (autoscaling, spot instances, caching, partitioning) Develop automated evaluation & validation pipelines (new telemetry, reproducibility, traceability) Maintain continuous model & data monitoring (drift, feature stability, prediction quality) Ensure environment consistency via IaC & containerization (Terraform) Requirements Senior Data Engineer + solid MLOps background Azure Databricks (Workflows, Delta Lake, Unity Catalog) PySpark, SQL Warehouses, production-grade pipeline development CI/CD (GitHub Actions / Azure DevOps) Monitoring tools (Lakeview, Grafana), ML observability Data quality, drift detection, ML monitoring Security, access management & compliance in data/ML ecosystems Terraform / IaC

🏢 Summary: DevOps Engineer role focused on building, scaling, and securing cloud infrastructure while enabling efficient CI/CD workflows. The position involves managing Kubernetes-based environments on AWS, optimizing automation, and ensuring high availability and performance of systems. The role also includes infrastructure as code, monitoring, database management, and secure authentication integration. 🗂️ Requirements: BA/BS in technical field or equivalent experience, 5+ years in DevOps, SRE, or Infrastructure Engineering, Strong experience with Kubernetes, Deep knowledge of AWS core services, Experience with containerization technologies, Strong understanding of networking concepts, Proficiency with infrastructure-as-code tools, Experience with monitoring tools, Strong scripting or programming skills, Solid understanding of system security best practices 📃 Skills: Kubernetes, AWS, EC2, S3, IAM, RDS, Docker, Helm, Terraform, Pulumi, CloudFormation, Prometheus, Grafana, CloudWatch, Python, Bash, Go, PostgreSQL, SAML, OAuth2, OIDC, ELK, Loki, FluentBit, GitHubActions, Jenkins, CircleCI, Ansible, EKS, GKE 🏢 Description: We are looking for a skilled and driven DevOps Engineer to join our growing team. In this role, you will take ownership of building, maintaining, and scaling the infrastructure that powers our platform. You will ensure our systems are secure, performant, and highly available, while enabling seamless development and deployment workflows. Responsibilities: Design, implement, and manage scalable infrastructure using Kubernetes and AWS. Optimize CI/CD pipelines to improve build and deployment times and reduce friction. Monitor and troubleshoot infrastructure performance and availability. Manage and maintain relational databases, primarily PostgreSQL. Implement and support secure authentication systems using SSO protocols (e.g., SAML, OIDC, OAuth2). Enhance infrastructure as code using tools like Terraform and Ansible. Ensure security best practices are applied across all infrastructure components. Collaborate cross-functionally with development, QA, and product teams. Drive automation of operational tasks to increase team efficiency and reduce manual toil. Required Skills: BA/BS in a technical or engineering discipline or equivalent experience 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role. Strong experience with Kubernetes (EKS, GKE, or self-managed). Deep knowledge of AWS core services (EC2, S3, IAM, RDS, etc.). Knowledge of containerization technologies (e.g., Docker, Kubernetes, Helm) Solid understanding of networking concepts (VPCs, subnets, routing, firewalls, DNS). Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation). Comfortable with monitoring tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting or programming ability (Python, Bash, or Go). Solid understanding of system security and best practices. Preferred Skills: Familiarity with SSO protocols such as SAML, OAuth2, and OpenID Connect. Experience managing and tuning PostgreSQL in production environments. Exposure to log aggregation tools (ELK, Loki, or Fluent Bit). Experience with CI/CD tools like GitHub Actions, Jenkins, or CircleCI. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Role for an experienced DevOps / Cloud Engineer to design, implement, and maintain scalable AWS cloud infrastructure with strong focus on automation, CI/CD, and container orchestration. The position involves infrastructure as code, microservices support, performance optimization, and secure cloud deployments in an Agile environment. 🗂️ Requirements: Minimum 5 years experience as Cloud DevOps Engineer or Cloud Engineer, Proficiency with core AWS services (IAM, networking, storage, API Gateway, serverless, monitoring), Experience building infrastructure using Terraform, Experience with CI/CD tools (GitHub Actions preferred), Experience with microservices (AWS ECS, Kubernetes), Experience with scripting (Bash, Python), Experience with GitHub and pull request workflows, Experience with Jira and Agile (Scrum), Ability to implement security and governance standards, Experience writing unit tests and working with CI/CD pipelines 📃 Skills: AWS, IAM, Networking, Storage, APIGateway, Serverless, Monitoring, Terraform, CICD, GitHubActions, GitHub, Jira, Kubernetes, ECS, Microservices, Bash, Python, Scrum 🏢 Description: DevOps / Cloud Engineer (AWS) We are looking for an experienced DevOps / Cloud Engineer to join our team and support the design, implementation, and maintenance of scalable, high-performance cloud infrastructure on AWS. This role combines infrastructure engineering, automation, CI/CD, container orchestration, and performance optimization in modern cloud environments. Responsibilities In particular, the services to be provided under the contract comprise the following: compliance with company standards reviewing development backlog in Jira, picking up the next priority Development backlog item/user story, writing the code to fulfil the functional and non-functional aspects of the backlog item, writing unit tests to cover the acceptance criteria for the backlog item, submit a pull request to check in the code into GitHub, address any peer review feedback coming from the pull request review, trigger the CI/CD pipeline to deploy the new feature into the test environment. Requirements Polish – C2, English C1 minimum of 5 years of experience as a Cloud DevOps Engineer or Cloud Engineer proficiency with core AWS services, including IAM, networking, storage, API Gateways, AWS Serverless, monitoring, etc. ability to set up cloud infrastructure using Terraform, following best practices experience with CI/CD tools (preferably GitHub Actions) strong focus on adherence to security, development, and governance standards experience in troubleshooting and working with microservices (AWS ECS, Kubernetes) experience in scripting languages (Bash, Python) experience collaborating with various stakeholders (architects, security teams, business) experience working in an Agile environment (e.g. Scrum) strong communication and interpersonal skills commitment to quality, documentation, and adherence to standards across teams and the organization What we offer: The opportunity to participate in a variety of projects. Remote work from any location, or a hybrid model using our offices located in Poznań. A home office package to increase remote work comfort (chair, additional monitor, ergonomic mouse, etc.). Modern offices equipped with amenities such as a pool table, foosball, darts, and relaxation zones. Opportunities to spend time together after work - combining our employees’ passions through ski trips, cycling tours, and sailing adventures. Regular company-wide and team-based integration events, as well as many other occasions to meet and exchange ideas with colleagues. Celebrations of important moments in the lives of our employees An open approach to new ideas and initiatives, including charity actions.

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

🏢 Summary: DevOps Engineer role focused on supporting and scaling modern data platforms by combining DevOps practices with data engineering expertise. The position involves building and maintaining CI/CD pipelines, managing cloud-based data infrastructure, and ensuring reliable, automated data workflows. You will collaborate with data teams to optimize performance, scalability, and security of data solutions. 🗂️ Requirements: 4–5 years experience in DevOps or similar role, Hands-on experience with Databricks, Strong experience with AWS, Experience building and maintaining CI/CD pipelines with Jenkins, Background in data engineering or data platforms, Basic to intermediate Python knowledge, Understanding of ETL/ELT processes, Knowledge of distributed data systems 📃 Skills: Jenkins, Databricks, AWS, Python, CICD, ETL, ELT, DevOps, DataEngineering, Cloud, DistributedSystems 🏢 Description: About the Role We are looking for a DevOps Engineer with a strong data background to support and scale modern data platforms. In this role, you will work at the intersection of DevOps and Data Engineering , ensuring reliable, automated, and efficient data pipelines and environments. You will be responsible for maintaining and improving CI/CD processes, supporting cloud-based data platforms, and collaborating with data engineers and analytics teams to enable smooth data operations. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins . Manage and optimize data platforms based on Databricks . Build and maintain cloud infrastructure on Amazon Web Services . Support deployment, monitoring, and troubleshooting of data pipelines and workflows. Collaborate closely with data engineers to improve reliability and performance of data solutions. Automate infrastructure and operational processes. Ensure best practices in security, scalability, and performance across the platform. Required Skills & Experience 4–5 years of experience in a DevOps Engineer or similar role. Hands-on experience with Databricks . Strong experience with Amazon Web Services . Experience building and maintaining CI/CD pipelines using Jenkins . Background in data engineering or experience working with data platforms. Basic to intermediate knowledge of Python . Understanding of data pipelines, ETL/ELT processes, and distributed data systems. Strong problem-solving skills and ability to troubleshoot complex issues. Good communication skills and ability to work in cross-functional teams.

🏢 Summary: Full-time B2B DataOps Engineer role on a long-term project within a large-scale analytical ecosystem for a telecommunications organization. The position focuses on building and automating end-to-end data processing and deployment workflows across on-premises and Kubernetes environments using GitOps principles. You will design, deploy, and optimize scalable data pipelines while integrating DevOps and Data Engineering practices. 🗂️ Requirements: 2.5+ years commercial experience in Data Engineering, DataOps or DevOps, Strong Python programming, Experience with PySpark and Pandas, Hands-on experience with Kubernetes and containerized applications, Experience with Helm, Experience with Git-based workflows, Experience building CI/CD pipelines, Understanding of GitOps principles, Experience supporting full application lifecycle, Linux command-line proficiency, Experience with LDAP, Active Directory, RBAC and TLS, Experience working with on-premises infrastructure, Polish language proficiency, Based in Poland with valid Polish passport 📃 Skills: Python, PySpark, Pandas, Kubernetes, Helm, Git, GitLab, Jenkins, ArgoCD, CICD, GitOps, Linux, LDAP, ActiveDirectory, RBAC, TLS 🏢 Description: DataOps Engineer (Poland) 💻 Hybrid (Remote with bi-weekly onsite meetings) 🕦 Full-time ☑️ B2B (long-term project) 🌍 Working hours: Central European Time (CET) We are looking for a DataOps Engineer to join a large-scale analytical ecosystem project for a leading telecommunications organization. This role is ideal for an engineer who enjoys solving complex data challenges, building automation from development through production deployment, and working across both Data Engineering and DevOps domains. You will be responsible for designing, developing, deploying, and optimizing large-scale data processing solutions while helping onboard new datasets and automate the entire delivery lifecycle using GitOps principles. The environment combines on-premises infrastructure, Kubernetes, and modern data technologies, requiring someone who is comfortable working beyond cloud-managed solutions. Must-Have’s 2.5+ years of commercial experience in Data Engineering, DataOps, DevOps, or related roles. Strong Python programming skills, including experience with analytical frameworks such as PySpark and Pandas. Experience working with Kubernetes and containerized applications. Hands-on experience with Helm. Experience with Git-based development workflows. Experience building and maintaining CI/CD pipelines using GitLab, Jenkins, ArgoCD, or similar tools. Understanding of GitOps principles and automated deployment processes. Experience supporting the full application lifecycle from development through production deployment. Linux proficiency, including command-line usage. Experience with authentication and authorization technologies such as LDAP, Active Directory, RBAC, and TLS certificate management. Strong analytical and problem-solving skills. Strong English communication skills. Polish language proficiency. Must be based in Poland and available to attend onsite meetings every two weeks. Must hold a valid Polish passport. Comfortable working with on-premises infrastructure environments. Nice to Have Experience with Apache Kafka. Experience with OpenSearch or Elasticsearch. Experience with OpenSearch Data Prepper, dbt, Kafka Streams, or similar ingestion technologies. Familiarity with Hadoop ecosystems. Experience with Ansible. Knowledge of SRE best practices, including SLOs and Error Budgets. Familiarity with Elastic Common Schema (ECS). Familiarity with TMForum standards. Degree from a leading technical university such as University of Warsaw, Warsaw University of Technology, AGH University of Science and Technology, or PJATK. Key Responsibilities Design, develop, and maintain data pipelines running on large-scale analytical platforms. Build automated processes for onboarding datasets and integrating new data streams. Develop and maintain GitOps-driven deployment workflows. Design and implement CI/CD pipelines for data and platform services. Deploy and manage applications running on Kubernetes-based environments. Monitor, troubleshoot, and optimize data processing workloads for performance and scalability. Collaborate with stakeholders to gather requirements and translate business needs into technical solutions. Support application lifecycle management, including design, implementation, deployment, and maintenance. Improve operational efficiency through automation and infrastructure standardization. Work closely with cross-functional teams to ensure reliable and scalable platform operations. Contribute to security, governance, and operational best practices across the environment. Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities. Find out more: https://devsdata.com/

🏢 Summary: The offer is for a Senior DevOps/MLOps Engineer to build, deploy, and scale production-ready machine learning pipelines for large-scale medical image analysis. The role focuses on transforming experimental ML workflows into robust, compliant, and scalable solutions within a regulated environment. You will collaborate with cross-functional teams to ensure high performance, reproducibility, and reliability of end-to-end ML systems. 🗂️ Requirements: 5+ years of experience in DevOps or MLOps, Experience building and deploying machine learning systems, Experience with ML frameworks (PyTorch, TensorFlow or JAX), Experience designing and maintaining data processing pipelines, Knowledge of full MLOps lifecycle, Advanced Python programming, Experience with Linux, Experience with Git-based workflows, Experience with CI/CD pipelines, Experience with Docker, Experience with Kubernetes, Experience with MLflow or Weights & Biases 📃 Skills: Python, PyTorch, TensorFlow, JAX, Linux, Git, CI/CD, Docker, Kubernetes, MLflow, Weights&Biases, Argo, Kubeflow, AWS, OpenCV, TypeScript, Node.js, JavaScript 🏢 Description: Holisticon Connect is a division within NEXER GROUP - a custom software development company. We started in Poland in 2017 and are now a team of over 140 people. We have the opportunity to work with world-renowned brands from Scandinavia, the UK, and Western Europe. Our goal is to grow stronger, in competence rather than in numbers. If you like what we do, check out our offer, maybe we will have the pleasure of meeting you! 😊 We are looking for a Senior DevOps/MLOps Engineer who will support the development and scaling of internal machine learning tooling for large-scale image analysis in the medical domain . In this role, you will work at the intersection of machine learning, data engineering, and DevOps , helping transform experimental ML workflows into robust, production-ready and compliant solutions . You will collaborate closely with data scientists, software engineers, and domain experts to build and maintain end-to-end ML pipelines , ensuring scalability, reproducibility, and high performance in a regulated environment. We offer a choice of employment form: B2B or Employment Contract UoP: 18 000 – 22 000 PLN gross/month B2B: 160 – 190 PLN net/hour + VAT You might be the perfect match if you are/have: At least 5 years of professional experience in DevOps, MLOps, or a similar role; Hands-on experience in building and deploying machine learning systems (excluding hosted LLM APIs), using frameworks such as PyTorch, TensorFlow, or JAX; Experience designing and maintaining data processing pipelines , ideally for image data (or similar domains, e.g. proteomics); Understand the full MLOps lifecycle : model training, validation, deployment, and monitoring; Excellent Python skills and write clean, well-tested, and maintainable code; Apply software engineering best practices (testing, code quality, documentation, performance); Solid experience with Linux environments , Git-based workflows , and CI/CD (e.g. GitHub Actions); Hands-on experience with containerization (Docker) and orchestration (Kubernetes); Have worked with MLOps tools such as MLflow or Weights & Biases. Moreover, we appreciate skills in these areas: Experience with workflow orchestration platforms (e.g. Argo Workflows, Kubeflow); Familiarity with cloud infrastructure , especially AWS; Experience with distributed systems or microservices architectures; Exposure to computer vision (e.g. OpenCV or similar); Basic knowledge of TypeScript / Node.js / JavaScript; Experience working in a regulated environment (e.g. healthcare, pharma, medtech). By joining us, you gain the following: Opportunity to work on exciting, international projects in cutting-edge industries like Automotive, Biotech, IoT; Possibility to develop in cloud technologies; Becoming part of a team that believes that the next step to a promising future is to put your heart into it and make it happen; Respect for your private life so you don't have to work overtime or on weekends; Team Events budget to socialize outside of work; Company Events to celebrate smaller and bigger successes (Summer Party, Programmer's Day, and trips abroad – so far we've been in South Africa, Are, and Barcelona). Perks and benefits: Fully remote work or in our office in Wrocław; Benefits such as Luxmed , Multisport , and life insurance in Nationale Nederlanden ; Attractive referral system (9,5k for senior, 6k for mid, 2,5k for junior); Personal Training Budget with additional paid hours; Passion Day - an extra day off for your hobby to spend as you please; Flexible working hours with no micro-management approach. Our core hours are 9-15, the rest of the working time is up to you; We provide high-quality work equipment + 2 additional monitors and accessories. If you apply for this position and match our expectations, then: Y ou will be invited for an HR screening to get to know your experience, expectations, and motivation; You will complete a coding test (HackerRank) to demonstrate your technical skills; You will be invited for a technical interview (~60 minutes) to discuss your approach, problem-solving, and frontend expertise in more depth; You will meet the team members to learn more about the project and see how we collaborate on a daily basis. Submit your application online in one easy step! Apply now! You will earn: UoP: 18 000 – 22 000 PLN gross/month B2B: 160 – 190 PLN net/hour + VAT

🏢 Summary: The offer is for a DevOps Engineer responsible for designing, implementing, and maintaining scalable AWS-based cloud infrastructure within a Platform Engineering team. The role focuses on automation, CI/CD pipeline development, container orchestration, and infrastructure as code. It includes managing Kubernetes clusters, optimizing cloud environments, and ensuring reliable deployment and monitoring processes. 🗂️ Requirements: 3+ years experience with AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation), 2+ years experience with CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins), Experience with containerization and orchestration (Docker, Kubernetes, EKS, ECR, Helm), Experience with Infrastructure as Code tools (Terraform, CloudFormation), Experience with configuration management (Ansible), Scripting skills in Bash or Python, Experience managing cloud environments (dev, staging, production), Experience implementing deployment strategies (blue-green, canary, rollback), Experience with monitoring, alerting, and log aggregation 📃 Skills: AWS, EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, Terraform, Ansible, Docker, Kubernetes, EKS, ECR, Helm, GitHubActions, GitLabCI, Jenkins, Bash, Python 🏢 Description: We are looking for a DevOps Engineer to join our Platform Engineering team. In this role, you will be responsible for designing, implementing, and maintaining cloud infrastructure based on AWS. The ideal candidate has a strong background in automation, containerization, and CI/CD pipelines. Responsibilities: Design and implement scalable AWS infrastructure Manage development, staging, and production environments Monitor and optimize AWS costs Implement disaster recovery strategies Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins Automate deployment processes Implement blue-green deployments Manage rollback strategies and canary deployments Manage Kubernetes clusters (EKS) Optimize Docker images and perform security scanning Develop and maintain Helm charts Automate infrastructure provisioning with Terraform or CloudFormation Manage configuration with Ansible Set up monitoring and alerting systems Aggregate and analyze logs Requirements: 3+ years AWS experience : EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation 2+ years DevOps tools : GitHub Actions, GitLab CI/CD, Jenkins Containerization & orchestration : Docker, Kubernetes, ECR, Helm IaC & automation : Terraform, CloudFormation, Ansible, Bash, Python What can we offer: Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company; Work on innovative projects using modern technologies; Direct impact on shaping the image of the Capital Group’s companies on the market; Possibility to develop competences in a wide range; Attractive salary; Stability of employment and a friendly work atmosphere; Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more.

🏢 Summary: Software Engineer role focused on building and scaling ML infrastructure and cloud development environments for autonomous driving research. The position involves developing Agentic AI tooling, optimizing distributed ML training systems, and improving GPU utilization across multi-cloud and Kubernetes-based environments. Candidates will collaborate with ML researchers and engineers to enhance performance, automation, and developer productivity. 🗂️ Requirements: BS or MS in Computer Science or related field, Strong knowledge of software engineering principles, Strong knowledge of distributed systems, Proficiency in Python or Go or C++, Experience with AWS or other cloud platforms, Experience with Kubernetes, Experience with ML development lifecycle 📃 Skills: Python, Go, C++, AWS, Kubernetes, PyTorch, Ray, GPU, LLM 🏢 Description: Mission Summary: We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers researchers and engineers to rapidly innovate on deep learning models for autonomous driving. We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. In this role, you will design multi-cloud setups to maximize GPU availability, drive model optimization, and build next-generation Agentic AI tooling. What You'll Be Doing: - Build Agentic AI tooling to automate workflows, streamline the ML lifecycle, and improve developer productivity. - Drive continuous development of core ML infrastructure and the CDE platform using Kubernetes and distributed systems. - Partner with ML researchers to profile and optimize distributed training jobs and data pipelines, focusing on I/O, memory management, and network communication overhead. - Collaborate with ML engineers and data scientists to bridge infrastructure and model development needs. What We're Looking For: - BS or MS in Computer Science or related field - Strong knowledge of software engineering principles and distributed systems - Strong proficiency with Python or Go or C++ - Experience with AWS services or other cloud platforms - Experience with container orchestration using Kubernetes - Experience with the ML development lifecycle Bonus Points: - Experience with ML model profiling and distributed training optimization - Experience working with GPUs or high-performance compute resources - Experience with ML frameworks such as PyTorch or Ray - Experience building Agentic AI systems and LLM-driven developer tools Additional Information: - Hybrid schedule available with in-office collaboration in Las Vegas, or fully remote. - Compensation includes base salary with possible bonus or equity. - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. - Salary Range: $123,000—$163,500 USD