Sr DevOps Engineer

Senior DevOps Engineer We are seeking a skilled Sr. DevOps Engineer to support and enhance our cloud-based data platform on AWS. This role focuses on building scalable infrastructure, enabling data product teams, and ensuring reliability, performance, security, and cost efficiency across the platform. This is not a traditional application DevOps role — the engineer will work on infrastructure and platform capabilities that support large-scale data ingestion, processing, and access. The role sits at the intersection of DevOps, platform engineering, cloud infrastructure, and data ecosystems. A key responsibility of this role will be Ansible with windows servers pipeline setup and deployment, AWS infrastructure setup, containerization, Kubernetes/EKS deployment, CI/CD, security, monitoring, and operational readiness. Depending on experience, candidates may take on senior/lead responsibilities, including architecture decisions, cloud migration, platform optimization, and mentoring. Key Responsibilities • Design, deploy, and manage scalable, secure, and highly available AWS environments for data platforms • Manage and Automate configuration provisioning and management using Ansible • Analyse existing Azure infrastructure and workloads and define appropriate AWS services and target architecture • Automate infrastructure provisioning and management using Terraform (Infrastructure as Code) • Build and maintain CI/CD pipelines to support platform, application, and data workloads • Enable data teams by developing reusable platform capabilities for data ingestion and processing • Deploy and manage containerized workloads using Docker and Kubernetes/EKS • Design, configure, and manage Kubernetes/EKS environments including deployments, services, networking, scaling, and workload management • Monitor system performance, troubleshoot issues, and ensure high availability of platform services • Optimize infrastructure performance, scalability, reliability, and cost efficiency for data workloads • Develop automation scripts and tools using Python • Support data platform services including data lakes, ingestion frameworks, and processing layers • Participate in on-call support, production issue triage, and incident resolution • Collaborate with Data Engineers, Software Engineers, Architects, and other cross-functional teams to align infrastructure with platform and application needs • Support cloud migration activities including infrastructure, networking, security, CI/CD, monitoring, and operational readiness • Maintain clear documentation of system architecture, infrastructure, migration processes, and operational procedures Key Skills and Qualifications • Strong hands-on experience with AWS cloud services (S3, IAM, Lambda, EKS, RDS, VPC, Glue, CloudWatch, SQS/SNS, Event Bridge, etc.) • Strong hands-on experience with Kubernetes and Amazon EKS — production experience with EKS is required • Strong hands-on experience with Ansible — production experience with Ansible is required • Proficiency in Terraform, including writing, debugging, and managing infrastructure configurations and reusable modules • Strong experience with Docker and containerized application deployments • Sound knowledge of DevOps tools and practices (CI/CD, Git, automation frameworks) • Experience designing, deploying, and troubleshooting workloads running on Kubernetes/EKS • Understanding of AWS networking, IAM, security, compute, storage, monitoring, and high availability • Understanding of data platforms, including data lakes, pipelines, distributed systems, and large-scale data workloads • Experience with SQL and relational databases (PostgreSQL, RDS) • Ability to understand existing Azure-based infrastructure and map workloads/services to appropriate AWS solutions Experience • 4–8 years: Strong hands-on DevOps / Platform Engineer with AWS, Terraform, Kubernetes, and EKS experience • Ability to take ownership of platform design, cloud migration, optimization, and technical decision-making • Experience working with containerized applications and Kubernetes-based platforms • Experience working with Ansible based applications or data products is a plus • Experience working in Agile/Kanban environments • Demonstrated ability to troubleshoot and resolve complex cloud, infrastructure, Kubernetes, and platform issues • Excellent communication and collaboration skills • Ability to work in a fast-paced, evolving platform environment Preferred • Experience with AWS data services (Glue, Athena, Lake Formation etc.) • Knowledge of monitoring and observability tools (CloudWatch, Prometheus, Grafana, Dynatrace) • Advanced experience with Kubernetes/EKS and container orchestration • Experience with Kubernetes deployment automation • Exposure to secrets management (Vault, AWS Secrets Manager) • Experience with Ansible and Windows server environment • AWS certifications (DevOps Engineer, Solutions Architect) • Familiarity with Ansible Automations • Exposure to data lake technologies (Hudi, Iceberg) • Familiarity with streaming platforms (Kafka, Flink)