DevOps Engineer
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Job Location:
Denver, CO - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Hybrid 3 days a week on Greenwood Village CO.
Required Skills & Experience
5 7 years of experience in DevOps
Experience supporting existing EMR and EKS environments
Experience with Terraform scripting for infrastructure as code
Comfortable operating and maintaining production systems
Able to contribute to infrastructure improvements and automation
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
Nice to Have Skills & Experience
Experience with large-scale data platforms and data governance
Experience working in distributed or remote-first teams
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 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.
