DevOps Engineer- Senior- INTL INDIA
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At a glance
Job overview
Insight Global is hiring a DevOps Engineer- Senior- INTL INDIA. A client of Insight Global is seeking Senior DevOps Engineers to expand their team, focusing on a large-scale AWS-based data and container platform. This role involves stabilizing existing EMR (Hadoop) infrastructure and developing new solutions, ensuring reliability, performance, and scalability of data workloads. The engineer will also support EKS (Kubernetes) environments, implement AWS Lambda functions, and manage IAM and networking components.
Key focus areas include Design, build, and maintain AWS infrastructure for data and application platforms, Own and manage EMR (Hadoop) clusters, including building new environments, and Manage and optimize existing EMR clusters for reliability, performance, and scalability.
Successful candidates bring 7-10 Years AWS-Based Infrastructure Experience. Important skills include AWS Infrastructure, EMR Environments, Platform Reliability, Platform Scalability, Leading Critical Infrastructure Components, and Mentoring Team Members.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
A client of Insight Global is looking to add DevOps engineers to their team. They are building and expanding a DevOps team to support and evolve a large-scale AWS-based data and container platform. This team has taken ownership of the EMR (Hadoop) environment and is responsible for both stabilizing existing infrastructure and building new solutions from the ground up.
Key Responsibilities
This role is responsible for designing, building, and maintaining AWS infrastructure that supports both data and application platforms. The engineer will own and manage EMR (Hadoop) clusters, including building EMR environments from scratch, managing and optimizing existing clusters, and ensuring the reliability, performance, and scalability of data workloads such as Data Pulse. The position also involves supporting and operating EKS (Kubernetes) environments across multiple infrastructures, implementing and maintaining AWS Lambda functions and event‑driven architectures, and managing IAM, security policies, and access controls across AWS services. In addition, the engineer will design and support networking components including VPCs, subnets, routing, and security groups, collaborate closely with data, platform, and application teams to support production workloads, troubleshoot infrastructure and platform issues across EMR, EKS, and AWS services, and continuously improve automation, monitoring, and operational processes. The role also contributes to defining infrastructure standards, documentation, and best practices.
This role will pay between 15-20 LPA
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
- 7–10 years of experience with AWS-based infrastructure
• Proven experience building EMR environments from scratch
• Strong ownership mindset for platform reliability and scalability
• Experience leading or taking over critical infrastructure components
Ability to mentor team members and influence technical direction
• Strong experience with AWS Infrastructure
• Hands-on experience managing EMR / Hadoop clusters
• Experience supporting EKS (Kubernetes) environments
Knowledge of AWS Lambda, IAM, and AWS Networking • Experience with large-scale data platforms and data governance
- Experience working in distributed or remote-first teams
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