Senior DevOps Engineer with French

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior DevOps Engineer role focused on designing and scaling next-generation CI/CD platforms supporting high-volume builds and deployments across diverse systems (IoT, web, mobile, backend, data, ML). The position combines hands-on platform engineering with technical leadership, driving CI/CD strategy, cloud infrastructure, and developer enablement. The role directly impacts reliability, security, and scalability of developer tooling used by hundreds of engineers. 🗂️ Requirements: 7+ years of experience in software engineering or DevOps, Experience designing and operating large-scale distributed systems, Hands-on experience with AWS, Strong knowledge of Kubernetes and containerized environments, Experience with CI/CD platforms and build systems, Proficiency in at least one programming language: Kotlin, Go, or Python, Experience with Jenkins and GitHub Actions, Experience with Gradle and Artifactory 📃 Skills: Jenkins, GitHub, GitHubActions, Gradle, Artifactory, Kubernetes, AWS, Kotlin, Go, Python, CI/CD, Docker 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. As a Senior DevOps Engineer , you will join the Platform team , responsible for designing and evolving next-generation CI/CD platforms used by hundreds of engineers across the organization. Your work will directly impact how fast, safely, and reliably products are built and delivered across a diverse technology landscape — from IoT and firmware to web, mobile, backend, data, and machine learning systems. This is a senior, hands-on role with strong technical leadership expectations. You’ll influence platform strategy, guide engineering teams in adopting modern CI/CD solutions, and help scale developer infrastructure capable of supporting thousands of daily builds and deployments. Key takeaways: Stack: Jenkins, GitHub Actions, Gradle, Artifactory, Kubernetes, AWS Salary: 27 000 PLN - 33 000 PLN gross on the Contract of Employment Working model: Hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Interview with the Hiring Manager (1h) Interviews panel (debugging / break-fix style interview, architecture or system design discussion; up to 3h in total) Responsibilities: Platform Architecture & CI/CD Design, build, and maintain scalable CI/CD platforms capable of handling high build and deployment volumes Architect and support systems using Jenkins, GitHub Actions, Gradle, and Artifactory Ensure reliability, extensibility, and security of developer tooling Technical Leadership Act as a technical leader within the team, promoting a strong platform-thinking mindset Influence technology investments and architectural decisions across partner teams Support peers in design reviews, execution planning, and complex problem-solving Developer Experience & Enablement Continuously improve self-service infrastructure and automation tooling Partner with internal teams to identify bottlenecks and optimize build and delivery workflows Advocate for best-in-class developer experience across the organization Quality, Standards & Roadmapping Promote best practices in architecture, testing, documentation, and agile delivery Review platform designs, technical decisions, and code to ensure high quality and scalability Contribute to planning and execution of long-term technology roadmaps Requirements: Technical Expertise 7+ years of experience in software engineering or DevOps roles Strong experience designing and operating large-scale, distributed systems Hands-on experience with cloud platforms (AWS preferred) Solid understanding of containerized environments and orchestration (Kubernetes) Programming & Tooling Practical experience with at least one high-level programming language (Kotlin, Go, or Python) Familiarity with modern CI/CD ecosystems and build tooling Experience supporting diverse engineering domains (backend, frontend, mobile, data, IoT) is a strong plus Mindset & Collaboration Strong focus on improving developer experience and productivity Pragmatic approach to engineering, with a deep understanding of trade-offs Confident communicator who enjoys collaborating across teams Comfortable challenging ideas, making compromises, and driving alignment What we offer: 100% paid medical care, Multisport, Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence — we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Backend Engineer role focused on defining the technical direction and architecture of a domain within a borderless financial platform. The position involves designing scalable microservices, driving architectural decisions, and leading a small backend team in a distributed environment. The role emphasizes reliability, security, and high‑volume transaction processing in a cloud-based ecosystem. 🗂️ Requirements: 4-7 years backend engineering experience, Proficiency in Go, Experience with Java 21 or modern Java, Experience designing microservices with clear contracts, Experience with caching strategies including TTL and invalidation, Experience with event-driven or asynchronous architectures, Experience with structured logging, metrics, and alerting, Experience with AWS services, Experience with relational and non-relational databases, Experience with Spring Boot or similar frameworks, Experience reviewing code and architectural decisions, Availability to work in GMT+5:30 timezone 📃 Skills: Java, Go, Spring, JDBI, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS, EKS, ALB, RDS, S3, Kong, Datadog, Quickwit, JWT, RBAC, TLS, Docker, ArgoCD, GitHub, Microservices, Kafka, CDC 🏢 Description: Project overview This project focuses on developing a borderless financial platform that supports international banking flows, payments, account management and regulatory compliant operations. The product handles sensitive data and high volume transactions while prioritising reliability and security. Team You will work in a distributed environment with backend engineers, a product manager and platform specialists. The role involves leading a sub team of three to five engineers, conducting design reviews, ensuring code quality standards and supporting collaborative decision making. Position overview We are looking for a Senior Backend Engineer who will define the technical direction of a backend domain and drive architectural decisions. You will design microservices, create scalable solutions, guide a small engineering group and collaborate closely with product specialists to shape the delivery roadmap. We are looking for a person willing to work in the time zone: GMT+5:30. Technology stack Java 21, Go, Spring Boot, JDBI, custom workflow engines, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS EKS ALB RDS S3 Secrets Manager, Kong API Gateway, Datadog, Quickwit, JWT RBAC TLS request and response encryption VAPT, GitHub Actions, Docker, ArgoCD, microservices, event driven architecture, saga and orchestration patterns, CDC pipelines, maker checker workflows Responsibilities Plan and design backend microservices with clear boundaries and contracts Develop solutions for domains such as onboarding, payments, transaction orchestration or platform components Break complex epics into actionable tasks with clear acceptance criteria Review designs from other engineers to ensure scalability and fault tolerance Drive technical decisions including caching layers, asynchronous processing strategies, database choices and API versioning Evaluate build versus buy options for integrations and services Collaborate with a product manager to align on scope and prioritisation Lead a sub team of backend engineers and support their professional growth Support incident response, root cause analysis and long term improvements Monitor service performance using logging, metrics and tracing tools Requirements Professional backend engineering experience from 4-7 years Experience with Go (tooling & CLIs) Experience designing microservices with well-defined contracts and boundaries Experience with Java 21 or modern Java versions Experience with caching strategy design, including TTL and invalidation approaches Experience working with asynchronous processing, event-driven architecture, or queue-based workflows Experience using structured logging, metrics, and alerting to debug production systems Experience in making build versus buy decisions with clear trade-off analysis Experience reviewing code and identifying architectural or contract issues Experience with AWS-based services Experience working with relational and non-relational databases such as PostgreSQL or DynamoDB Experience writing backend services using Spring Boot or similar frameworks Nice to have Experience with financial or payments related systems Experience with KYC or AML flows Experience with workflow or orchestration engines Experience with platform wide pattern creation or reusable service design Experience with data encryption practices and security audits Experience with CockroachDB or high availability distributed databases What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Remote Senior DevOps Engineer role focused on modernizing and scaling a cloud-native Data & AI Platform. The position involves refactoring AWS and Airflow infrastructure, implementing Infrastructure as Code for Snowflake, and building next-generation workflow orchestration. The role also supports CI/CD automation and infrastructure for Data Science, ML, and AI systems. 🗂️ Requirements: Strong experience with AWS, Strong experience with Terraform, Hands-on experience with Apache Airflow, Experience with CI/CD tools (GitLab, GitHub Actions, Jenkins), Experience with Snowflake and Infrastructure as Code, Knowledge of modern workflow orchestration tools (Prefect, Dagster, Temporal), Experience supporting Data Science, ML, or AI platforms 📃 Skills: AWS, Terraform, Airflow, Snowflake, GitLab, GitHubActions, Jenkins, Prefect, Dagster, Temporal, CI/CD, IaC, Python 🏢 Description: Senior DevOps Engineer (Data Platform & AI) 📍 Remote from Poland We are looking for a Senior DevOps Engineer to support the evolution of our Data & AI Platform. Key responsibilities: • Refactoring AWS-based Data Platform infrastructure • Refactoring and optimization of Apache Airflow infrastructure • CI/CD runner setup and automation • Infrastructure setup for Data Science and ML pipelines • Infrastructure as Code (Terraform) for Snowflake environments • Design and implementation of a next-generation workflow engine to replace Airflow • Infrastructure setup for AI systems, including MCP servers Requirements: • Strong AWS and Terraform experience • Hands-on experience with Airflow infrastructure • CI/CD expertise (GitLab, GitHub Actions, Jenkins) • Experience with Snowflake and Infrastructure as Code • Understanding of modern workflow orchestration tools (Prefect, Dagster, Temporal, etc.) • Experience supporting Data Science, ML, or AI platforms Nice to have: • GCP / BigQuery exposure • Experience with LLM or AI infrastructure This is an opportunity to build and modernize a cloud-native data platform while helping shape the future AI infrastructure of the organization.

🏢 Summary: Senior Full-Stack Software Engineer role focused on building large-scale, cloud-based data processing solutions on AWS with a strong emphasis on serverless architectures. The position involves developing and maintaining web applications, APIs, and microservices while optimizing and modernizing existing cloud infrastructure. The engineer will collaborate across international teams to deliver scalable scientific and data-driven solutions. 🗂️ Requirements: Minimum 5 years of enterprise software development experience, Expert knowledge of Java with Spring and Hibernate or JPA, Strong understanding of microservices architecture and patterns, Expert knowledge of JavaScript and TypeScript, Experience with Angular or React and HTML5, Experience building REST APIs, Knowledge of SQL, NoSQL and graph databases, Strong AWS knowledge including core services, Hands-on experience with Docker, Experience with Git and GitOps workflows, Ability to deploy code to production environments, Experience working with Scrum methodology, Fluent English 📃 Skills: Java, Spring, Hibernate, JPA, JavaScript, TypeScript, Angular, React, HTML5, Git, GitOps, REST, SQL, NoSQL, AWS, S3, IAM, EC2, ECR, ECS, Lambda, Serverless, Docker, RabbitMQ, OAuth2, Scrum, Oracle, MySQL, MongoDB, Spock, CI 🏢 Description: We are a provider of digital transformation and technology consulting services with a portfolio of solutions for both clients who do not yet have Salesforce and large organizations that work on Salesforce and use its extensive capabilities ☁. We also provide body and team leasing services in IT, providing specialists in various fields. Model : remote Employment type: full-time Background & Project: A team specializing in Data Engineering and bioinformatics systems development is seeking experienced and motivated Senior Full-Stack Software Engineer with hands-on AWS experience . This role involves developing large-scale cloud-based data processing solutions, primarily using AWS. We are looking for self-motivated and proactive engineer to contribute to the development of highly scalable computing solutions built on AWS services, with a strong focus on serverless architectures. The position involves leveraging AWS services and improving existing infrastructure to optimize, modernize, and future-proof current solutions. The engineering team operates across multiple time zones, including Pacific Time (PT), Eastern Time (ET), and Central European Time (CET). Virtual meetings and collaboration via Slack may take place during the core working hours of the San Francisco (PT) time zone. During the first six months of onboarding, increased collaboration and some overlap with the PT time zone will be expected. Responsibilities: Work together in a collaborative and practical manner to address scientific softwareengineering challenges. Engage with both local and offshore engineering teams to assist in software development endeavors Leverage existing GenAI and RAG solutions and services developed by other teams tointegrate data and existing capabilities into internal chatbots to enhance usability anddata discovery Rapid prototyping and iterations to foster innovation and enable the company to exploresolutions in a shorter time-frame. Design, build and maintain the web application providing visibility to our data management platform Collaboratively and pragmatically solve scientific software engineering challenges. Collaborate with local – Polish, the US and Canada engineering teams to support software development efforts. Contribute to the broader scientific community through open-source software development. Requirements: Minimum 5 years of work experience related to software development in enterprise projects/products and expert knowledge regarding one of the following backend technologies: JAVA (very good knowledge of frameworks like Spring, Hibernate / JPA, knowledge of other JVM based programming languages is a plus); Understanding of microservice architectures, principles and patterns Expert knowledge of Javascript and TypeScript programming ( Angular 5+ or React,with good knowledge of HTML5. Experience building reusable web components. Knowledge of git and standard GitOps workflow (MRs, protected branch), conventional commits, semantic versioning, pre-commit hooks, Experience building APIs, good understanding of REST principles Knowledge of database techniques like SQL, NoSQL and graph databases Fluent in the usage of cloud computing models (IaaS, PaaS, SaaS) and good knowledge of containers connected with this DevOps mindset and excellent knowledge of cloudplatforms like AWS. Ability to deploy yourself code to production Docker (must have) AWS cloud (including S3, IAM, EC2, ECR, ECS, AWS Lambda, Serverless) Experienced in product development with Scrum methodologies Experienced in designing software components based on limited and evolving requirements Attention to details, focus on user/developer experience Ability to coordinate work and direct collaboration with the customer Fluent in English General knowledge RabbitMQ (or other similar message broker) Good communication skills, team player, work under tight deadlines. Nice to have: Good understanding of HTTP protocol (status code, headers, etc…) Basic knowledge of OAuth 2.0 Building distributed systems Automated testing – unit, int, e2e, performance, regression Spock (Groove DSL) CI pipelines Oracle/MySQL/Mongo We offer: Remote work model B2B contract Benefits package, Daily support from team leaders, Dedicated certification budget, Integration trips/events.

🏢 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: Mid+/Senior DevOps Engineer (GCP) role focused on operating and evolving the GCP infrastructure layer of a cloud-agnostic AI/ML platform. The position centers on advanced GKE operations, service mesh management, GitOps, and secure, scalable cloud networking for production-grade AI workloads. The engineer drives reliability, automation, and infrastructure ownership in a high-scale, multi-cloud environment. 🗂️ Requirements: 4+ years experience in DevOps, Platform, or Cloud Engineering, Strong hands-on experience with GCP, Advanced GKE and Kubernetes administration and troubleshooting, Experience with Istio or Cilium service mesh, Knowledge of Kyverno and Kubernetes policy management, Experience with Ingress and Gateway API configuration, Practical experience with FluxCD and GitOps workflows, Deep knowledge of GCP networking and security services, Experience with GitHub Actions for CI/CD, Proficiency with Docker and containers, Python scripting for automation, Fluent English 📃 Skills: GCP, GKE, Kubernetes, Istio, Cilium, Kyverno, FluxCD, GitOps, VPC, IAM, Docker, Python, GitHub, CloudSQL, CloudStorage, Ingress, GatewayAPI, mTLS, VertexAI, AKS, Databricks 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Mid+/Senior DevOps Engineer (GCP) , you will join the team behind AI Factory - a cloud-agnostic platform for building and running generative AI and ML applications across Azure, GCP, and AWS. Your primary focus will be maintaining and evolving the GCP infrastructure layer of this platform, ensuring it is secure, scalable, and production-ready for cutting-edge AI workloads. Expect deep work with GKE, service meshes, GitOps, and GCP-native networking in a complex, high-stakes environment where your troubleshooting skills and ownership mindset will be tested and valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth . Your Responsibilities Operating, maintaining, and debugging GKE clusters at an advanced level - including workload management, networking, and cluster-level troubleshooting under pressure. Configuring and debugging Istio or Cilium service mesh - managing traffic policies, mTLS, observability, and cross-service communication. Defining and enforcing Kyverno policies for governance, security, and compliance across Kubernetes workloads. Managing Ingress and Gateway API configurations for reliable and secure traffic routing. Driving GitOps workflows using FluxCD - managing continuous delivery and infrastructure state across environments. Designing and maintaining GCP networking and security infrastructure - VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, and Cloud Storage. Building and maintaining GitHub Actions pipelines for automation, deployment, and platform operations. Writing Python scripts to automate operational tasks and platform management workflows. Collaborating clearly and proactively with cross-functional teams - including ML engineers, data engineers, and application developers — to resolve platform-level issues. Taking ownership of issues - diagnosing, escalating where needed, and driving problems to resolution without being asked. What We're Looking For 4+ years of experience in a DevOps, Platform, or Cloud Engineering role, with significant hands-on GCP exposure. Advanced GKE and Kubernetes skills - you can debug complex cluster and workload issues confidently in production. Hands-on experience with Istio or Cilium service mesh - policy configuration, traffic management, and debugging. Practical knowledge of Kyverno , Ingress/Gateway API , and FluxCD (GitOps) . Deep familiarity with GCP services - VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, Cloud Storage. Experience with GitHub Actions for CI/CD and automation workflows. Proficiency in Docker and container lifecycle management. Python scripting skills for automation and operational tooling. Strong troubleshooting mindset - calm under pressure, systematic in approach, relentless in resolution. Excellent cross-team communication skills - able to explain complex infrastructure issues clearly to diverse audiences. Fluent English - our daily working language with international teams and clients. Nice to Have Experience with Cloud Interconnect and hybrid connectivity patterns. Familiarity with Vertex AI integration with GKE (connectivity and networking layer). Hands-on experience with Azure AKS or multi-cloud Kubernetes environments. Exposure to Databricks in a cloud or platform engineering context. Experience working on AI/ML platforms or MLOps infrastructure . Why You’ll Love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities , explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first , work from anywhere in the world ( workation ) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure - every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunity Cloudfide is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: The offer is for a DevOps Engineer to build and operate scalable, secure AWS infrastructure for a cloud-native AI Talent Intelligence Platform. The role focuses on production-grade infrastructure, CI/CD automation, observability, security, cost optimization, and ML/AI workload support. It involves full ownership of AWS environments across development and production with strong emphasis on reliability and compliance. 🗂️ Requirements: 5+ years of production infrastructure experience, 3+ years of hands-on AWS experience, Strong experience with AWS services: RDS Postgres, VPC, IAM, ECS or EKS, ALB/NLB, Route53, S3, CloudFront, CloudWatch, Secrets Manager, Advanced Terraform usage: modules, remote state, drift detection, multi-environment setups, Experience building and maintaining CI/CD pipelines (GitHub Actions or equivalent), Proficiency with Linux and containerization, Experience implementing observability: metrics, logs, traces, alerting, On-call and incident management experience, PostgreSQL operations knowledge: backups, migrations, performance tuning, Security best practices: IAM policies, secret management, encryption, AWS cost monitoring and optimization, English proficiency Intermediate+ or higher 📃 Skills: AWS, RDS, PostgreSQL, EC2, ECS, EKS, VPC, IAM, Route53, S3, CloudFront, CloudWatch, SecretsManager, ACM, SES, Terraform, GitHubActions, Linux, Docker, Grafana, Datadog, CI/CD, ALB, NLB, TLS 🏢 Description: Andersen is hiring a DevOps Engineer in the EU for a project building cloud-native AI platforms and ensuring scalable, secure, and reliable infrastructure. The customer is an international company focused on delivering innovative digital solutions and technology-driven services. The organization supports businesses in improving operational efficiency, streamlining processes, and accelerating digital transformation initiatives. By leveraging modern technologies and industry best practices, the company develops scalable and secure solutions tailored to evolving business needs. The customer operates in a dynamic environment, emphasizing innovation, collaboration, and the continuous enhancement of products and services to create long-term value for its clients. The project is focused on developing a cloud-native Talent Intelligence Platform powered by AI and machine learning technologies. It includes building scalable AWS-based infrastructure, supporting intelligent search and ranking capabilities, and ensuring secure, reliable, and observable platform operations. Responsibilities: Owning AWS infrastructure across dev and prod — RDS (Postgres), EC2/ECS/EKS workloads, VPC, IAM, Route53, S3, CloudFront, Secrets Manager, ACM, SES, CloudWatch. Keeping dev and prod in lockstep — same Terraform modules, same patterns, real environment parity. Running CI/CD — GitHub Actions pipelines across several service repos (backend, frontend, AI/ML, gateway, billing). Trunk-based, feature-flagged, main always deployable. Codifying infrastructure — Terraform for everything that touches AWS. No click-ops. Managing observability — metrics, logs, traces, alerting. CloudWatch + Grafana/Datadog (your call, with budget). SLOs that matter. Participating in incident response — on the rotation. Writing runbooks. Leading blameless postmortems. Managing cost control — monthly bill review, right-sizing, Savings Plans / RIs, S3 lifecycle, RDS tuning. Catching anomalies before finance does. Ensuring security & compliance — IAM least-privilege, secrets rotation, vulnerability scanning, GDPR-aligned data handling with EU-resident third-party providers, backup/DR testing. Supporting ML/AI infrastructure — model serving latency budgets, embedding storage, GPU/CPU tradeoffs, A/B infrastructure for ranking experiments. Managing database operations — RDS upgrades, parameter tuning, backward-compatible migrations, read replicas, PITR. Must-have: Experience running production infrastructure for 5+ years. Experience working with AWS for 3+ years. Hands-on with: RDS Postgres, VPC networking, IAM, ECS or EKS, ALB/NLB, Route53, S3, CloudFront, CloudWatch, Secrets Manager. Terraform in anger — modules, remote state, drift detection, multi-environment. CI/CD — GitHub Actions or equivalent. Linux + containers — Docker, image hygiene, sensible base images, multi-stage builds. Observability — metrics, logs, traces, and alerting. Incident command — on-call experience, leading incidents, writing postmortems. PostgreSQL operations — backups, migrations, query performance basics, RDS quirks. Security fundamentals — IAM policy writing, secret management, TLS, encrypted-at-rest by default. Cost awareness — monitoring and optimizing AWS infrastructure costs. Level of English – from Intermediate+ and above. Nice to haves: Experience with Keycloak in production environments. Experience with Vespa, Elasticsearch, OpenSearch, or other search infrastructure. Experience with AWS Bedrock or other managed AI tooling. Experience with ML serving using SageMaker, Bedrock, or self-hosted GPU inference. Experience with GDPR compliance and EU data residency requirements. Experience with Helm, Kustomize, and ArgoCD. FinOps mindset — tagging strategy, showback, and anomaly detection. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. The opportunity to change the project and/or develop expertise in an interesting business domain. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. Private health insurance and compensation for sports activities. Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl Join us! https://people.andersenlab.com/