Senior AI Devops Engineer

🏢 Summary: DevOps Engineer role within a centralised Markets Technology team supporting a large-scale transformation programme. The position focuses on migrating and standardising 90+ applications, modernising infrastructure, and improving CI/CD and platform practices across teams. The role drives Kubernetes adoption, workflow modernisation, and automation of DevOps processes in a complex enterprise environment. 🗂️ Requirements: Strong DevOps or platform engineering experience in large enterprise environments, Experience with Java-based application ecosystems, Experience deploying and managing applications on Linux (Red Hat preferred), Hands-on experience with Kubernetes in enterprise settings, Experience with CI/CD tooling (Azure DevOps preferred), Experience supporting multiple applications or cross-team environments, Experience with workflow tools such as Control-M or Airflow, Experience automating DevOps processes using AI 📃 Skills: DevOps, PlatformEngineering, Java, Linux, RedHat, Kubernetes, AzureDevOps, CICD, ControlM, Airflow, AI 🏢 Description: Overview A leading international financial institution is undertaking a large-scale transformation across Markets Technology, driven by a combination of infrastructure modernisation, application migration and a broader push to improve engineering efficiency. As part of this initiative, a centralised DevOps capability is being established to support the migration and standardisation of a complex estate of applications, while introducing more efficient and scalable ways of working across teams. This role will sit within a newly formed central team, working across multiple Markets Technology groups to accelerate delivery, reduce duplication and improve the end-to-end software delivery lifecycle. Project Context The team will support a multi-year programme focused on: Migration of approximately 90+ applications across Markets Technology Transition to new data centre environments as part of the GDC West programme Adoption of a standardised internal Kubernetes platform Migration to new object storage solutions and infrastructure models Replacement of existing workflow and scheduling tools (including Control-M) with modern alternatives such as Airflow Consolidation of DevOps practices across teams to avoid duplication and inconsistency Technical Requirements Strong DevOps or platform engineering experience within a large, complex environment Solid exposure to Java-based application ecosystems Experience deploying and managing applications on Linux (preferably Red Hat) Experience working with Kubernetes in an enterprise setting Hands-on experience with CI/CD tooling (Azure DevOps preferred) Experience supporting multiple applications or working across teams rather than within a single isolated product Experience with workflow tools such as Control-M or Airflow Experience automating DevOps processes and workflows using AI

🏢 Summary: Senior AWS DevOps Engineer role focused on designing, automating, and maintaining scalable cloud infrastructure and CI/CD pipelines for distributed applications. The position involves managing Kubernetes environments, implementing Infrastructure as Code, and improving reliability, security, and observability across AWS platforms. You will collaborate with engineering teams to enhance deployment processes and ensure high availability of production systems. 🗂️ Requirements: 5+ years DevOps or Cloud Engineering experience, Strong hands-on experience with AWS services, Experience with Kubernetes and containerized environments, Strong experience with Terraform and Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong Linux administration skills, Scripting skills in Bash or Python, Experience with monitoring and logging tools, Knowledge of networking, security, and IAM, Experience with Git-based workflows 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, CICD, Linux, Bash, Python, CloudWatch, Prometheus, Grafana, ELK, Datadog, Git, IAM, Jenkins, GitHub, GitLab, AzureDevOps, Helm, ArgoCD, Serverless, Networking, Security 🏢 Description: About the Role We are looking for a Senior AWS DevOps Engineer to join a fast-paced international engineering team. The ideal candidate will be responsible for designing, implementing, automating, and maintaining cloud infrastructure and CI/CD ecosystems for highly scalable distributed applications. You will work closely with development, security, and infrastructure teams to improve deployment processes, system reliability, scalability, and operational efficiency across cloud environments. Key Responsibilities Design, build, and maintain scalable AWS cloud infrastructure Implement and optimize CI/CD pipelines for automated deployments Manage Kubernetes clusters and containerized workloads Develop Infrastructure as Code (IaC) solutions using Terraform or CloudFormation Improve system observability, monitoring, logging, and alerting Automate operational and deployment processes Ensure high availability, performance, and security of production systems Collaborate with development teams to support cloud-native application delivery Participate in troubleshooting, incident response, and root cause analysis Support platform reliability, scalability, and disaster recovery initiatives Required Skills & Experience 5+ years of experience in DevOps / Cloud Engineering roles Strong hands-on experience with AWS services Experience with Kubernetes (EKS preferred) and Docker Strong experience with Terraform and Infrastructure as Code Experience building and maintaining CI/CD pipelines Strong Linux administration and scripting skills (Bash/Python) Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, ELK, Datadog, etc. Experience with Git-based workflows and automation tools Good understanding of networking, security, IAM, and cloud best practices Experience working in Agile/Scrum environments Strong troubleshooting and communication skills Nice to Have AWS Certifications Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Experience with serverless architectures Exposure to multi-cloud environments (AWS/Azure) Knowledge of security and compliance frameworks Experience with Helm, ArgoCD, or service mesh technologies

🏢 Summary: The offer is for a senior DevOps/Cloud Engineer to lead and support enterprise cloud migration initiatives in Azure, focusing on CI/CD automation, infrastructure as code, and secure, scalable cloud environments. The role involves managing Azure-based platforms, optimizing performance and security, and collaborating with cross-functional teams to modernize and support business-critical systems. It also includes working with hybrid cloud environments and leveraging AI-powered tools to enhance software delivery processes. 🗂️ Requirements: 5+ years in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure in production environments, Experience building and maintaining Azure DevOps CI/CD pipelines (YAML), Hands-on experience with Azure App Services, WebJobs, and Azure Functions, Knowledge of Azure API Management, Application Gateway, and WAF, Experience with Terraform and Infrastructure as Code practices, Understanding of .NET application hosting environments (.NET 4.8–.NET 8+), Experience with hybrid or multi-cloud environments (Azure and AWS), Experience with secrets management and identity solutions, Experience in enterprise migration or modernization programs, English proficiency minimum B2, Work permit and residence in the European Union 📃 Skills: Azure, AzureDevOps, CI/CD, YAML, Terraform, .NET, APIM, WAF, AppServices, WebJobs, AzureFunctions, ApplicationGateway, KeyVault, ManagedIdentity, AWS, IaC 🏢 Description: 🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. 🟣 Your profile: 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles, strong hands-on experience with Microsoft Azure, including production-grade environments, proven experience building and maintaining Azure DevOps CI/CD pipelines (YAML-based), hands-on experience with Azure App Services, WebJobs, and Azure Functions, strong knowledge of Azure API Management (APIM), Application Gateway, and WAF, experience with Terraform (azurerm provider) and Infrastructure as Code practices, understanding of .NET-based application hosting environments (.NET 4.8–.NET 8+), experience working with hybrid or multi-cloud environments (Azure + AWS), familiarity with secrets management and identity solutions (Key Vault, Managed Identity), experience working in enterprise migration or modernisation programmes, strong analytical, troubleshooting, and problem-solving skills, good communication skills and ability to work in cross-functional teams, good command of English (min. B2), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: experience with AWS migration programmes (e.g. MAP or similar initiatives), familiarity with React, Node.js, or EventStoreDB in hybrid architectures, exposure to FinOps practices and cloud cost optimisation initiatives, experience integrating AI tools into engineering workflows (CI/CD, IaC, automation), experience with enterprise-scale policy governance (Azure Policy, guardrails), experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 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: The offer is for a DevOps Engineer responsible for enhancing cloud infrastructure and application delivery within a large-scale Azure environment. The role focuses on CI/CD implementation, infrastructure optimisation, automation, and ensuring high availability and performance of business-critical applications. You will collaborate across teams to improve reliability, monitoring, and compliance in production systems. 🗂️ Requirements: Hands-on experience with Microsoft Azure services, Strong experience with CI/CD practices and pipelines, Experience building and managing cloud infrastructure, Experience with infrastructure monitoring and incident management, Ability to perform root cause analysis and resolve production issues, Experience designing and automating compliance frameworks, Experience applying patches and updates in production environments, Experience collaborating with cross-functional technical teams 📃 Skills: Azure, CI/CD, DevOps, Cloud, Automation, Monitoring, Compliance, Scripting, Patching 🏢 Description: DevOps Engineer – Cloud Infrastructure & Application Delivery We are seeking an experienced DevOps Engineer to support and enhance our cloud infrastructure and application delivery capabilities. In this role, you will work across both infrastructure and application improvements, collaborating with technical and non-technical teams to ensure business SLI/SLOs are consistently met and optimised. Key Responsibilities: Serve as a DevOps engineer across infrastructure and application initiatives, driving continuous improvement. Collaborate with business application owners and technology teams to provide trusted guidance on cloud-based infrastructure. Monitor and manage the Azure foundation platform, enabling efficient and reliable application deployments. Identify areas for infrastructure improvement and work with the feature delivery team to implement changes in production. Conduct root cause analysis of system issues and incidents, resolving errors to minimise recurrence and optimise performance and availability. Recommend and implement enhancements for monitoring, alerting, and incident response processes. Apply centrally provided patches and updates as part of engineering activities. Required Experience: Hands-on experience building and managing a range of services in Microsoft Azure . Strong experience in Continuous Integration / Continuous Deployment (CI/CD) practices, including coding, tooling, and methodologies. Proven experience working with multiple support groups contributing to a service. Demonstrable experience designing, implementing, and automating compliance frameworks for cloud virtual compute resources. What We Offer: Opportunity to work on a large-scale Azure environment supporting critical business applications. A collaborative environment where your expertise directly influences infrastructure and application reliability. Exposure to innovative cloud technologies and automation practices.

🏢 Summary: Senior DevOps Engineer role focused on AI and platform operations, ensuring production stability, CI/CD pipeline management, and Infrastructure as Code implementation. The position involves supporting AI/ML workloads, enhancing observability, and driving automation and self-healing infrastructure solutions. The role combines operational leadership with hands-on DevOps and MLOps practices in complex production environments. 🗂️ Requirements: Hands-on experience with Docker and Kubernetes, Experience with CI/CD tools including Jenkins and Maven, Experience with Infrastructure as Code using Ansible, Experience with relational databases such as Oracle and DB2, Knowledge of Spring, Hibernate, XML, JSON, Kafka, Advanced troubleshooting using Splunk, Apica, Sysdig, Experience with Prometheus, Grafana, ELK stack, Experience with MLOps and AI/ML workload deployments, Knowledge of AI model serving and ML containerization, Understanding of AI agent orchestration and workflow automation 📃 Skills: Docker, Kubernetes, Jenkins, Maven, Ansible, Oracle, DB2, Spring, Hibernate, XML, JSON, Kafka, Splunk, Apica, Sysdig, Prometheus, Grafana, ELK, MLOps, AI, ML 🏢 Description: As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Senior DevOps Engineer (AI & Platform Operations) Responsibilities: Incident & Problem Management: Lead RCA processes and implement preventive measures Production Support: Monitor, analyze, and optimize service performance and stability CI/CD Management: Build, maintain, and enhance deployment pipelines for multiple APIs Environment Management: Maintain Pre-Production and Production environments Cross-team Collaboration: Work closely with Platform Operations teams and delivery factory Documentation: Build comprehensive runbooks and knowledge base for operational procedures Innovation Leadership: Evaluate and implement new DevOps tools, practices, and AI-powered solutions Implement Infrastructure as Code practices Drive automation and self-healing infrastructure solutions Support AI/ML workload deployments and operations Lead adoption of emerging technologies and best practices Requirements: Hands‑on experience with Docker containerization and Kubernetes orchestration Experience working with CI/CD tools, including Jenkins and Maven Experience with Infrastructure as Code using Ansible Experience working with relational databases such as Oracle and DB2 Basic knowledge of application technologies including Spring, Hibernate, XML, JSON, and Kafka Advanced troubleshooting experience using Splunk, Apica, and Sysdig Experience with modern observability tools, such as Prometheus, Grafana, and preferably the ELK stack Experience with AI/ML operations (MLOps) and AI agent deployments Knowledge of AI model serving platforms and ML workload containerization Understanding of AI agent orchestration and workflow automation Experience implementing innovative solutions using emerging technologies Ability to evaluate and integrate new DevOps tools and practices Very good command of English, both spoken and written Nice to have: Software development knowledge in Java / J2EE Experience working with cloud platforms, such as AWS, Azure, or GCP Experience with IBM DataStage Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

🏢 Summary: Contract DevOps / Platform Engineer role focused on designing and implementing DevOps processes and onboarding applications to Kubernetes-based environments. The position involves building CI/CD pipelines, applying GitOps practices, and ensuring platform stability, scalability, and automation. Onsite role in Warsaw or Slovakia, collaborating closely with development teams. 🗂️ Requirements: 3+ years experience in DevOps or Platform Engineering, Strong experience with CI/CD pipelines (Jenkins or GitLab), Experience with Docker and Kubernetes, Experience with cloud platforms (AWS or Azure), Experience with GitOps and ArgoCD, Experience onboarding applications to Kubernetes, Proficiency with Git and Jira, Ability to manage deployments and platform automation 📃 Skills: Kubernetes, Docker, Jenkins, GitLab, ArgoCD, Git, Jira, AWS, Azure, CI/CD, GitOps, Spring, Java, Bash, Python 🏢 Description: Dear Consultant, We are looking for an experienced DevOps / Platform Engineer to design and implement DevOps processes and support application onboarding to Kubernetes-based environments. You will work closely with development teams to drive automation, deployment, and platform reliability. Send CV to (marcillina.tietjen@dcvtechnologies.co.uk Locations: Warsaw (Poland) / Slovakia Type: Contract / Long-term Work Model: Onsite Key Responsibilities Design and implement DevOps processes and platform solutions Onboard applications to Kubernetes environments Manage deployments, administration, and automation Support security, documentation, and platform operations Work closely with development teams for delivery and integration Implement and manage CI/CD pipelines (Jenkins / GitLab) Apply GitOps practices using ArgoCD Support onboarding of Spring Boot and frontend applications to Kubernetes Ensure platform stability, scalability, and efficiency Required Skills & Experience 3+ years of experience in DevOps / Platform Engineering Strong experience with: CI/CD (Jenkins / GitLab) Jira, Git Docker and Kubernetes Experience with cloud services (AWS, Azure) Experience with GitOps and ArgoCD Experience onboarding applications to Kubernetes Strong collaboration and communication skills ⭐ Nice to Have Experience with Java, Bash, or Python

🏢 Summary: The offer is for a Platform Engineer responsible for building and evolving enterprise-grade DevOps platforms that enable scalable CI/CD, GitHub-based workflows, and AI-driven automation across a multi-cloud environment. The role focuses on improving developer productivity, delivery speed, and system reliability by standardizing and modernizing SDLC processes. You will design reusable platform components and migrate legacy CI/CD systems to modern solutions. 🗂️ Requirements: 5+ years experience in software engineering, DevOps, infrastructure, or platform engineering, Strong programming skills in Python or Groovy, Deep knowledge of CI/CD systems and end-to-end pipeline design, Advanced knowledge of Git and GitHub including GitHub Actions and repository management, Experience designing and supporting reusable automation components, Experience refactoring and migrating legacy CI/CD pipelines, Hands-on experience with Azure, Experience with containerization and orchestration, Experience with Infrastructure as Code tools, Ability to work in hybrid model with on-site presence once per week 📃 Skills: Python, Groovy, CI/CD, Git, GitHub, GitHubActions, Jenkins, Groovy, Azure, AWS, GCP, Docker, Kubernetes, Terraform 🏢 Description: We are looking for an accomplished Platform Engineer to join a highly skilled team building mission‑critical systems in a fast‑growing environment. This role focuses on empowering R&D teams by creating scalable, platform‑centric CI/CD solutions , modern GitHub‑based workflows , and intelligent automation across the Software Delivery Life Cycle (SDLC) . You will be responsible for designing and evolving internal DevOps platforms that significantly improve developer productivity, delivery speed, system reliability, and cost efficiency. Working closely with architects, Product DevOps teams, and engineering groups, you will help drive a shift toward standardized, reusable, and AI‑assisted DevOps capabilities within a complex, multi‑cloud ecosystem. Key Responsibilities Architect and implement enterprise‑grade DevOps platforms supporting multiple development teams and repositories Build, scale, and maintain CI/CD workflows using GitHub Actions and modern DevOps tooling Design reusable, maintainable platform components and shared automation, favoring structured and object‑oriented solutions over ad hoc scripting Introduce AI‑first approaches to enhance pipeline intelligence, developer feedback loops, and operational efficiency Reduce friction in the SDLC by simplifying tooling, automating repetitive tasks, and improving platform reliability Partner with engineering teams to promote GitHub best practices , including repository management and delivery automation Analyze, refactor, and modernize existing CI/CD implementations (e.g. Jenkins, Groovy‑based pipelines) and guide their evolution toward newer platforms Contribute to the ongoing development of a multi‑cloud strategy (Azure today, AWS planned), including SaaS and on‑premise environments Provide guidance on platform stability and DevOps cost optimization Requirements 5+ years of hands‑on experience in software engineering, DevOps, infrastructure, or platform engineering roles Strong development skills in at least one of the following languages: Python or Groovy Deep understanding of CI/CD systems and experience building end‑to‑end application delivery pipelines Advanced knowledge of Git and GitHub , including: GitHub Actions Repository and workflow management GitHub Advanced Security Experience operating at scale within large organizations with distributed teams and numerous repositories Proven ability to design, test, version, and support automation components used by other engineering teams Practical experience reading, refactoring, and migrating legacy CI/CD codebases Solid understanding of cloud platforms ( Azure preferred; AWS or GCP experience is a plus ) Hands‑on experience with container technologies and orchestration Familiarity with Infrastructure as Code and CI/CD tooling (e.g. Terraform, Jenkins, Git‑based workflows) Willingness to work in a hybrid model, including on‑site presence at the office once per week 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.