Senior Cloud DevOps Engineer

About the position

The Genome Informatics and Data Engineering team is looking for a passionate Sr Cloud DevOps Engineer with strong technical ability, communication, and collaboration skills. As the Lead Cloud DevOps Engineer, you will be responsible for managing ci/cd platform, implementation & management of solutions on AWS, from the ground up, to deliver highly scalable services. You will work with stakeholders, rest of the DevOps team, and subject matter experts to build and implement cloud platform solutions. Key focus areas include: Creating & managing containerized applications Building & optimizing CI/CD pipelines and enabling automated deployment of solutions on AWS Cloud with code quality and security testing Support core AWS services – S3, EC2, ECS, EFS, IAM, Lambda, RDS, Redshift, Cloud Formation and develop python & bash scripts for automating routine operations.

Responsibilities

• Provide day to day operational support and perform systems administration tasks
• Apply industry standards and best practices to ensure system and application security
• Drive automation of operations and management of infrastructure as code
• Deploy and manage monitoring metrics and logging capabilities on RGC’s systems & Applications
• Containerize various applications and tools and implement container orchestration
• Develop SOPs and configure cloud services to stand up high compute pipelines
• Installs, configures, and maintains cloud services & applications on cloud platform
• Keep abreast of the latest advances in the cloud platforms and services
• Provide end user support, training, and documentation

Requirements

• 5+ years of in-depth AWS services experience
• Experience managing ci/cd pipelines using git, Jenkins, aws code pipeline
• Expertise in implementing containers and container orchestration using Docker, ECS, ECR, EKS, Fargate
• Tangible experience with Linux administration, CI/CD, automation using python and bash script
• Strong Knowledge of core AWS services EC2, EBS, S3, ELB, RDS, Lambda, Cloud Formation
• Experience in monitoring tools like Splunk, Grafana, Prometheus

Nice-to-haves

• Understanding of Data & Analytics
• Knowledge on Apache Spark, Airflow
• Knowledge on distributed computing and MPI based applications
• Knowledge on Application Development & API management
• Knowledge on Kubernetes

Benefits

• Health and wellness programs
• Fitness centers
• Equity awards
• Annual bonuses
• Paid time off for eligible employees