• Build, architect and maintain secure, scalable, and highly available cloud infrastructure in Azure, with some support for AWS. • Lead the design and implementation of Infrastructure as Code (IaC) using Bicep or Terraform. • Champion DevSecOps practices and CI/CD pipeline improvements across teams. • Integrate security and compliance into infrastructure and deployment workflows from the ground up. • Own observability and reliability strategies, applying SRE principles such as incident response, SLOs, and postmortems. • Mentor and advise other engineers and peers, influencing architectural decisions. • Own delivery of key DevOps initiatives from planning through execution, collaborating across engineering, security, and product teams to align infrastructure with business goals. • Participate in Agile ceremonies and influence release planning and architectural decisions. • Evaluate and implement new tools and technologies to enhance system performance, reliability, and developer experience. • Define and track key performance indicators (KPIs) and service-level objectives (SLOs) to measure system health and team effectiveness. • Lead incident response efforts and conduct blameless postmortems to drive continuous improvement. • Partner with security and compliance teams to ensure infrastructure meets regulatory and organizational standards. • Contribute to the development of internal documentation, runbooks, and knowledge-sharing initiatives. • Participate in on-call rotations and provide Level 3 support for production systems.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Overview We are looking for a highly skilled Senior DevOps Engineer with 6+ years of experience to design, implement, and maintain scalable infrastructure and CI/CD pipelines. The ideal candidate should have strong expertise in Kubernetes, Linux systems, and Python scripting, along with a deep understanding of cloud platforms(GCP/GDCE) and automation. Key Responsibilities Design, build, and maintain scalable and highly available infrastructure using Kubernetes in 24x7 Environment. Deploy, manage, and monitor containerized applications. Develop and maintain CI/CD pipelines for automated build, test, and deployment processes. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools. Manage and optimize Linux-based systems and servers. Write efficient scripts and tools using Python for automation and monitoring. Implement logging, monitoring, and alerting solutions. Ensure system security, compliance, and reliability. Troubleshoot production issues and ensure minimal downtime. Collaborate with development and QA teams to streamline delivery processes. Required Skills and Qualifications 6+ years of experience in DevOps / SRE / Infrastructure Engineering. Strong hands-on experience with Kubernetes (deployment, scaling, troubleshooting). Solid understanding of Linux/Unix systems administration. Proficiency in Python scripting for automation. Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions). Knowledge of containerization tools like Docker. Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with Infrastructure as Code tools (Terraform, CloudFormation). Understanding of networking, security, and system architecture. Experience with monitoring tools (Prometheus, Grafana, ELK stack). Preferred Qualifications Experience with microservices architecture. Knowledge of Helm charts and Kubernetes operators. Certification in Kubernetes (CKA/CKAD) or cloud platforms(GCP preferred). Experience with configuration management tools (Ansible, Chef, Puppet) Soft Skills Strong problem-solving and analytical skills. Good communication and collaboration abilities. Ability to work in a fast-paced, agile environment. #Li-Remote What you will love about working here? We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period. The gift from the company - Christmas holidays from 25 December to 31 December. Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

We are growing! We are currently looking to hire a DataOps / MLOps Engineer (Strong DevOps Focus) to work with us remotely Who we are: Founded in 2006, we’re proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients. At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands. What you will be doing: Designs, builds, and operates highly reliable, secure, and scalable DataOps and MLOps platforms with strong engineering rigor. Owns infrastructure, data, and ML production pipelines end to end, enforcing automation, testing, governance, and operational best practices. Acts as the quality and reliability gatekeeper for all data and AI workloads. Your duties will also involve: - A Deep expertise in DataOps and MLOps principles - Strong DevOps skills with a rigorous, engineering-first mindset - Infrastructure as Code (Terraform and related tools) - CI/CD for data and ML pipelines, including testing, validation, and versioning - Workflow orchestration and scheduling using Airflow - Containerization and orchestration (Docker, AKS/Kubernetes) - Cloud platform management (with focus on AKS and supporting services) - Governance and access management across the data & AI ecosystem - Manage repository access for Data Engineers, Analysts, and Scientists - Control and audit Snowflake access, roles, and permissions - Integrate and manage Active Directory (AD) groups and identity-based access - Data platform operations (Snowflake, dbt) - ML lifecycle management (deployment, monitoring, rollback, drift detection) - Monitoring, logging, alerting, and observability for data and ML systems - Security, compliance, documentation, and standardization - Detail-oriented, methodical, and highly rigorous approach to engineering and operations

We are growing! We are currently looking to hire a DataOps / MLOps Engineer (Strong DevOps Focus) to work with us remotely Who we are: Founded in 2006, we’re proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients. At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands. What you will be doing: Designs, builds, and operates highly reliable, secure, and scalable DataOps and MLOps platforms with strong engineering rigor. Owns infrastructure, data, and ML production pipelines end to end, enforcing automation, testing, governance, and operational best practices. Acts as the quality and reliability gatekeeper for all data and AI workloads. Your duties will also involve: - A Deep expertise in DataOps and MLOps principles - Strong DevOps skills with a rigorous, engineering-first mindset - Infrastructure as Code (Terraform and related tools) - CI/CD for data and ML pipelines, including testing, validation, and versioning - Workflow orchestration and scheduling using Airflow - Containerization and orchestration (Docker, AKS/Kubernetes) - Cloud platform management (with focus on AKS and supporting services) - Governance and access management across the data & AI ecosystem - Manage repository access for Data Engineers, Analysts, and Scientists - Control and audit Snowflake access, roles, and permissions - Integrate and manage Active Directory (AD) groups and identity-based access - Data platform operations (Snowflake, dbt) - ML lifecycle management (deployment, monitoring, rollback, drift detection) - Monitoring, logging, alerting, and observability for data and ML systems - Security, compliance, documentation, and standardization - Detail-oriented, methodical, and highly rigorous approach to engineering and operations