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)