Senior DevOps Engineer (Data Platform & AI)

🏢 Summary: The offer is for a Senior DevOps Engineer responsible for designing, building, and operating secure, scalable cloud infrastructure for AI-driven automation platforms. The role focuses on Infrastructure as Code, CI/CD, monitoring, and automation in enterprise cloud environments, ensuring reliability, security, and compliance. It combines hands-on engineering with ownership of mission-critical services across their full lifecycle. 🗂️ Requirements: University degree in informatics or equivalent professional experience, Minimum 7 years of DevOps or infrastructure experience, Proven experience with Infrastructure as Code using Terraform, Experience with CI/CD tools such as Jenkins or GitHub Actions, Hands-on experience with AWS or Azure cloud services, Experience with DevOps workflows and automated incident response, Experience managing enterprise private cloud environments, Knowledge of secure service-to-service communication patterns, Knowledge of modern authentication protocols, Experience with monitoring, logging, and alerting systems, Experience with Python or another programming language, Understanding of AI technologies and AI process automation, Fluency in Polish and English (minimum B2) 📃 Skills: Terraform, Jenkins, GitHub, AWS, Azure, Python, CI/CD, DevOps, IaC, Monitoring, Logging, Alerting, Authentication, AI, Cloud 🏢 Description: As a Senior DevOps Engineer (AI & Automation Platform), you will be responsible for building and maintaining secure, scalable cloud infrastructures that power AI-driven automation. In this role, you will design and operate enterprise-ready solutions, implement Infrastructure as Code practices, and drive automation across systems and workflows. You will collaborate with internal teams and external vendors, ensuring performance, reliability, and compliance while mentoring colleagues and fostering an agile, innovation-oriented culture. This position is ideal for a hands-on engineer with strong analytical skills, a passion for automation, and the ability to take ownership of mission-critical services. Your Key Responsibilities Building and maintaining scalable and reliable cloud infrastructure for AI process automation platforms Ensuring operable and securing cloud-based solution architecture for custom-developed, open-source, and off-the-shelf applications Acting as technical consultant for internal colleagues and collect their feedback to ensure a successful user experience Establishing and maintaining logging, monitoring and alerting systems to proactively identify and resolve performance issues Taking on the technical responsibility of applications throughout the life cycle as part of a DevOps team Driving improvements of the automation level of our operations towards self-service Close collaboration with external software vendors for managing, developing, and maintaining IT systems Building and maintaining disaster recovery and business continuity plans for mission-critical applications and infrastructure Ensuring compliance with security policies and standards, working with security and compliance teams as necessary Your Qualifications University degree in (business) informatics or alternative training with relevant professional experience in this field At least 7 years of relevant professional experience in this field Strong automation and infrastructure as code mindset backed by proven experience in using Terraform and CI/CD technologies like Jenkins or GitHub Actions Experience with DevOps workflows for infrastructure management and automated incident response Proven experience in installing, configuring, maintaining and managing support operations with third party software in secured and enterprise ready private cloud environments Profound knowledge about common patterns for secure service-to-service connectivity and modern authentication protocols Familiarity with common monitoring, logging, and alerting solutions Hands-on experience working with managed cloud services (AWS or Azure preferred), including compute, storage, databases, and AI services Strong understanding of latest AI technology, like AI Agents, in combination with AI process automation Experience with an additional programming language such as Python Fluency in both Polish and English, with a minimum of B2 level proficiency Knowledge of German is a plus Ability and willingness to coach and to take responsibility for services Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy Eager to learn new technologies and skills (T-Shape philosophy) Proficiency in agile methodologies, with experience working effectively within agile teams and environments, fostering an agile mindset in daily work Willingness to travel up to 10%  of the time for work Our Offer Be a part of a global company & international team with a diverse variety of backgrounds, skills and views. As part of our IT team, you will actively shape the technology and solutions used by Schaeffler Grow with us! Get access to training platforms, internal & external trainings, supporting experts and the real-life challenges , where you will put all your skills in practice. We work in a hybrid working model (or a fully remote in a special cases) with flexible working hours . Our modern office is located in the center of Wroclaw . We offer attractive benefits package, such as medical and dental care , sports card, life insurance for you and your family. We are also providing access to our Mental Comfort Program. Our Cafeteria Platform allows you to choose from various benefit options with points monthly added to your account. Haven’t found what you are looking for? Our concierge will be happy to help! Join our CSR activities, such as tree planting, riverside cleanup, or participate in other charity events. Spend some time with your work colleagues during integrational events such as mountain trekking, city games and workshops. You can join also one of our many Passion Clubs like Foodies, Sports Team and Language Clubs as well!

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms that support large-scale data processing systems. The position combines hands-on engineering and strategic impact to ensure scalable, secure, and reliable production environments. You will design, automate, and optimize platform services enabling efficient delivery of data-driven applications. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting distributed production systems, Hands-on experience with public cloud platforms, Strong knowledge of containerization and orchestration, Experience with infrastructure as code, Strong scripting or programming skills, Experience building and maintaining CI/CD pipelines, Knowledge of observability practices and tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, CI/CD, Linux, Monitoring, Logging, Alerting 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms supporting large-scale data processing systems. The position combines hands-on engineering with strategic platform development to ensure scalable, secure, and reliable production environments. You will design, automate, and maintain infrastructure and observability solutions across distributed systems. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting production systems in distributed environments, Hands-on experience with public cloud platforms (AWS or similar), Strong knowledge of Docker and Kubernetes, Experience with infrastructure as code tools (Terraform), Strong scripting/programming skills (Python or Bash), Experience building and maintaining CI/CD pipelines, Knowledge of observability, monitoring, and logging tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, Linux, CICD, Observability, Automation, Infrastructure, Cloud 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: Contract role for a Senior AWS DevOps Consultant to design and standardize a scalable cloud data platform with a strong focus on AWS Data Warehouse and platform engineering. The position centers on building reusable, multi-account AWS infrastructure and optimizing Redshift environments through automation and governance. The consultant will drive Infrastructure as Code, CI/CD, and architectural best practices to enable efficient data team scaling. 🗂️ Requirements: 5+ years of Cloud Infrastructure experience, Strong hands-on AWS expertise, Strong hands-on Terraform experience in multi-account environments, Experience with AWS Organizations, Experience designing platform-level solutions, Strong AWS Data Warehousing experience, Hands-on Redshift security and performance optimization, Experience with CI/CD pipelines, Experience with infrastructure automation, Understanding of cost optimization principles, Understanding of observability and scalability principles, Fluent English, Agile experience 📃 Skills: AWS, Terraform, Redshift, S3, Glue, GitHub, GitHubActions, JFrog, Python, Azure, CI/CD 🏢 Description: Senior AWS DevOps Consultant (Data Warehouse / Platform Engineering Focus) Location: Warsaw, Poland (Hybrid – minimum 2 days/week onsite) Rate: up to 220 PLN/hour About the Role We are looking for an experienced Senior AWS DevOps Consultant with a strong Data Warehouse background and a platform engineering mindset . The goal is not to hire general AWS engineers focused only on individual services or application-level work, but professionals who understand standardisation, scalable platform design, multi-account AWS environments, and reusable infrastructure capabilities . This role supports the development of a modern cloud data platform, enabling data teams to scale efficiently while maintaining strong architectural governance, automation, and performance standards. Key Responsibilities Data Warehouse Infrastructure (AWS / Redshift) Design, build, and optimize AWS-based Data Warehouse infrastructure Ensure scalable, secure, and well-documented Redshift environments Improve existing architecture and automate delivery processes Collaborate with cross-functional data engineering teams Platform Engineering & Infrastructure as Code (IaC) Develop and maintain infrastructure using Terraform in multi-account AWS environments Build reusable, standardized platform components rather than one-off solutions Implement CI/CD pipelines for infrastructure deployment Ensure robust, maintainable, and scalable cloud platform capabilities Mentorship & Knowledge Sharing Act as technical mentor for internal teams Promote platform engineering and AWS best practices Conduct pair programming and knowledge-sharing sessions Support teams in building strong AWS and data platform capabilities Requirements Must-have: 5+ years of experience in Cloud Infrastructure Strong hands-on expertise in AWS and Terraform (multi-account AWS Organizations) Experience designing platform-level solutions , not only service-level implementations Strong AWS Data Warehousing experience (especially Redshift: security, performance, optimization) Experience with CI/CD pipelines and infrastructure automation Strong understanding of cost optimization, observability, and scalability principles Ability to communicate complex technical topics clearly to stakeholders Fluent English and Agile experience Nice-to-have: AWS services: S3, Glue Tools: GitHub, GitHub Actions, JFrog, Python Experience with migration projects or multi-cloud environments (AWS + Azure) Knowledge of data governance and security practices Team 6 senior data warehouse engineers Strong background in Azure DWH, Redshift, and data engineering Agile/Scrum with Kanban practices

🏢 Summary: Senior AWS DevOps / Platform Engineer role in a scalable fintech environment focused on AWS cloud infrastructure, CI/CD modernization, and production reliability. The position involves building and maintaining cloud-native platforms, automating infrastructure, and ensuring high availability and security of mission-critical systems. The engineer will work with global teams to drive SRE practices and continuous delivery excellence. 🗂️ Requirements: 7+ years of DevOps / Platform Engineering / SRE experience, Strong hands-on experience with AWS and networking, Strong experience with Kubernetes (EKS preferred), Strong experience with Docker, Experience building and maintaining CI/CD pipelines, Strong experience with Terraform, Experience with monitoring and observability tools, Experience supporting production environments, Experience with incident response and troubleshooting, Proficiency in Python and/or Bash, Understanding of distributed systems and microservices architectures, Knowledge of high availability systems 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, ARM, Jenkins, GitLab, Azure, GitHub, Python, Bash, Prometheus, Grafana, ELK, OpenSearch, Datadog, CloudWatch, ArgoCD, Linux 🏢 Description: 🚀 Senior AWS DevOps / Platform Engineer 📍 Remote (Poland) | Occasional visits to Warsaw 💰 Rate: up to 1,500 PLN/day We are looking for an experienced Senior AWS DevOps Engineer to join a highly scalable fintech environment. The role combines platform engineering, CI/CD modernization, cloud infrastructure, and production reliability , working closely with global engineering teams. You will support and evolve mission-critical systems used across international business units, ensuring high availability, security, and continuous delivery excellence. 💡 Your Mission ☁️ Cloud & Platform Engineering Design, build, and maintain scalable AWS-based infrastructure. Ensure high availability, resilience, and performance of distributed systems. Work with modern cloud-native architectures and microservices platforms. ⚙️ CI/CD & Automation Build and maintain CI/CD pipelines using: Jenkins GitLab CI Azure DevOps GitHub Actions Migrate and improve legacy deployment pipelines. Implement GitOps and automation best practices. 🧱 Infrastructure as Code Provision and manage infrastructure using: Terraform CloudFormation ARM templates (where applicable) Standardize infrastructure provisioning across environments. 📦 Containers & Orchestration Deploy and manage containerized workloads using Docker. Work with Kubernetes (EKS preferred). Support scaling, rollout strategies, and cluster optimization. 📊 Monitoring & Observability Implement monitoring and alerting solutions using: Prometheus Grafana ELK / OpenSearch Datadog CloudWatch Improve system visibility and proactive incident detection. 🚨 Production Support (SRE mindset) Support production environments and ensure system stability. Participate in incident management and root cause analysis. Improve MTTR and system reliability through automation. Drive SRE practices (SLI / SLO / SLA). 🔐 Security & Compliance Apply security best practices in cloud environments. Support secrets management, encryption, and access control. Work in a regulated fintech environment (compliance-aware engineering). 🎯 Must-Have Skills ✔️ 7+ years of experience in DevOps / Platform Engineering / SRE ✔️ Strong hands-on experience with: AWS (core services + networking) Kubernetes (preferably EKS) Docker ✔️ CI/CD tooling: Jenkins / GitLab CI / Azure DevOps / GitHub Actions ✔️ Infrastructure as Code: Terraform (must-have) CloudFormation or ARM templates (nice to have) ✔️ Scripting: Python and/or Bash ✔️ Strong experience with: Monitoring & observability tools Production support environments Incident response & troubleshooting ✔️ Understanding of: Distributed systems Microservices architectures High availability systems ⭐ Nice to Have Experience in fintech, banking or payment systems GitOps (ArgoCD or similar) Linux administration Security tooling (OWASP, scanning, secrets management) Experience with Java-based systems Cloud certifications (AWS / Azure) 🎁 What You’ll Get ✨ Work on large-scale fintech platforms with global reach ✨ Strong engineering culture focused on automation & reliability ✨ Exposure to modern AWS + Kubernetes ecosystems ✨ Real impact on CI/CD and platform architecture ✨ Hybrid/remote flexibility (Poland-based) ✨ Long-term stable project environment ✨ Opportunity to work with experienced DevOps & SRE teams 🚀 Ready to build and scale cloud platforms that power global fintech systems? Join us and help shape a modern AWS-driven DevOps & platform engineering environment focused on automation, reliability, and continuous delivery.

🏢 Summary: Remote AI Senior DevOps Engineer role focused on building and automating CI/CD and MLOps pipelines to enable seamless ML model deployment from training to production. The position bridges AI development and operations, emphasizing infrastructure as code, monitoring, DevSecOps, and scalable cloud environments. It involves close collaboration with AI teams to create a self-service model deployment platform. 🗂️ Requirements: 6–8 years experience in DevOps or SRE roles, Minimum 2 years experience in MLOps or AI/ML workloads, Expertise in Jenkins, GitHub Actions, or GitLab CI/CD, Hands-on experience with Azure DevOps, Hands-on experience with Terraform, Advanced knowledge of Docker and Kubernetes, Experience setting up Prometheus and Grafana dashboards, Experience with MySQL, PostgreSQL, or MongoDB, Familiarity with Ansible, Chef, or Puppet, Experience with SAST/DAST and vulnerability scanning in CI/CD, Experience with dataset and model versioning tools, Professional English C1 level 📃 Skills: Azure, Terraform, CloudFormation, Jenkins, GitHub, GitLab, Docker, Kubernetes, Prometheus, Grafana, MySQL, PostgreSQL, MongoDB, Ansible, Chef, Puppet, SAST, DAST, DVC, CI/CD, MLOps 🏢 Description: This is a remote position. Virtusa is seeking an AI Senior DevOps Engineer to bridge the gap between AI development and production-grade operations. You will be responsible for building the automated "highways" that allow ML models to flow from training to deployment seamlessly. This role requires a strong DevOps foundation combined with an understanding of the unique challenges of MLOps, such as GPU resource management, model versioning, and performance monitoring. Key Responsibilities: CI/CD & MLOps Pipelines: Build and maintain automated pipelines for ML models using Azure DevOps, GitHub Actions, or Jenkins. Workflow Automation: Automate model validation, packaging, and deployment workflows to ensure rapid iteration cycles. Infrastructure as Code (IaC): Use Terraform or CloudFormation to provision and manage cloud-native infrastructure, focusing on high-availability and scalability. Monitoring & Observability: Set up comprehensive monitoring for infrastructure (CPU/GPU/Memory) and model performance (latency and drift) using Prometheus and Grafana. DevSecOps Implementation: Integrate security into the heart of the pipeline, including secret management, IAM role configuration, and vulnerability scanning. Collaboration: Work closely with Data Scientists and AI Engineers to enable a self-service platform for model deployment. Requirements 6–8 years of experience in DevOps/SRE roles, with a minimum of 2 years focused on MLOps or supporting AI/ML workloads. Deep expertise in Jenkins, GitHub Actions, or GitLab CI/CD. Hands-on proficiency with Azure DevOps and Terraform (CloudFormation is a strong plus). Advanced knowledge of Docker and Kubernetes for managing distributed AI applications. Proven experience setting up Prometheus and Grafana dashboards for technical and model-specific metrics. Practical experience managing or connecting to MySQL, PostgreSQL, or MongoDB. Familiarity with Ansible, Chef, or Puppet for automated environment setup. Hands-on experience with SAST/DAST tools and automated vulnerability scanning within CI/CD pipelines. Experience with versioning tools for datasets and models (e.g., DVC or similar pipeline versioning logic). Professional English (C1) for seamless interaction with global delivery teams. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row

🏢 Summary: Lead Data Engineer role focused on building scalable AI and cloud-based data solutions in a global environment. The position involves leading data engineering initiatives, designing secure cloud architectures, and supporting AI applications using AWS or Azure. The offer includes hybrid work, professional development opportunities, and a comprehensive benefits package. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python, Experience designing and scaling complex data systems, Hands-on experience with AI technologies, Experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs, data integration, automation tools, and data governance, Understanding of data security and compliance standards, Leadership and mentoring experience, English and Polish proficiency (minimum B2) 📃 Skills: Python, SQL, AWS, Azure, Java, APIs, DevOps, AI, RAG, MCP, Automation, DataGovernance 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Lead Data Engineer role focused on driving AI initiatives and building scalable cloud-based data architectures in a global environment. The position involves technical ownership of data platforms, designing secure and high-performing systems, and leading data engineering efforts in a DevOps setting. The role emphasizes AI integration, cloud infrastructure, and enterprise-grade data governance. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python in production, Strong experience designing and scaling complex data systems, Hands-on experience with AI technologies, Hands-on experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs and data integration, Experience with automation tools, Knowledge of data governance practices, Understanding of data security and compliance standards, Proven experience leading and mentoring engineers 📃 Skills: Python, SQL, AWS, Azure, Java, AI, RAG, MCP, APIs, DevOps, Automation, Monitoring, Cloud, DataEngineering, DataPipelines, Governance, Security, Compliance, Backend 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Senior Cloud DevOps Engineer role focused on leading cloud and infrastructure automation for a large scale, business critical platform in a modern engineering driven environment. The position involves enhancing CI/CD, driving Infrastructure as Code, and ensuring high availability, scalability and reliability across cloud and on premise systems. The engineer collaborates closely with development, SRE and platform teams to modernise and optimise the platform. 🗂️ Requirements: Proven experience in Cloud DevOps engineering, Strong hands-on experience with GCP services, Experience with Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Experience with container orchestration platforms, Strong Linux administration skills, Scripting skills in Python or Shell, Experience supporting high availability production systems 📃 Skills: GCP, CloudSQL, GKE, Kubernetes, Terraform, Jenkins, Maven, Ansible, Java, Spring, Python, Shell, Linux 🏢 Description: Senior Cloud DevOps Engineer – Krakow We are looking for an experienced Senior Cloud DevOps Engineer to join a global technology team working on a large scale business critical platform used across multiple regions. The environment is modern, fast moving and genuinely engineering led, with a strong focus on automation, cloud adoption and continuous delivery. This role suits someone who enjoys solving complex infrastructure challenges, improving DevOps practices, and working closely with development and SRE teams to keep a high availability platform running smoothly. What you will be doing Leading and evolving DevOps, infrastructure and tooling capabilities across cloud and on premise environments Driving automation and Infrastructure as Code to reduce manual effort and improve consistency Enhancing CI CD pipelines and deployment processes for a high volume engineering organisation delivering hundreds of changes each month Supporting and optimising production and non production systems to ensure performance, reliability and scalability Working closely with developers, SRE, DBA and platform teams to troubleshoot issues and strengthen engineering standards Contributing to architectural discussions, engineering improvements and broader platform modernisation initiatives Key tech environment GCP including CloudSQL, GKE, Kubernetes and container platforms Terraform and Infrastructure as Code tooling CI CD using Jenkins Maven and Ansible Java based microservices with Java 11 and Spring Boot Python and Shell scripting Linux fundamentals

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.