About the role

AI summarised

Staff DevOps Engineer at Illumina, a biotech company, responsible for optimizing deployment and management of global cloud-based informatics assets. The role involves automating CI/CD pipelines, managing AWS environments, and collaborating with global teams to ensure service continuity and security.

BiotechFull-timeGeneral

Key Responsibilities

Automation and implementation of highly available and resilient platforms in cloud.
Implementation and maintenance of workflows and procedures to ensure consistency and auditability in a managed infrastructure.
Maintain and extend the code base for an on-market SaaS genomic application extending the capability, improving robustness and quality, and optimizing for performance.
Write and peer review automation code with an eye to creating a flexible, scalable codebase.
Develop solutions to drive optimization of cloud operations around cost management, time to market, security and privacy, and delivery of worldwide capability.
Troubleshooting and creating tools to resolve incidents.
Work within and enforce security and regulatory compliance procedures.
Document and communicate procedures, configurations and standards effectively.
Apply state of the art cloud best practices (e.g. stateless applications; analytical automated logging, diagnostics, and optimization; automated 'one click' creation of new geographic AWS enterprise application instances; application autoscaling; and automated testing of global cloud instances) in order to deliver toward operational objectives.
Be part of our follow-the-sun on call rotation.

Requirements

Programming skills – and of python, go, ruby, bash and/or various scripting
Hands on experience building enterprise AI solutions using LLMs, RAG architectures, and AWS Bedrock, with strong expertise in cloud native development, integrations, and production grade AI platforms.
Expertise in administration, configuration, optimization and monitoring of Linux at scale. CentOS, ubuntu and Amazon Linux are our base distributions.
Solid understanding of networking, network routing, and trouble shooting
Skilled in the implementation of monitoring tools like Grafana, ELK, cloud watch, cloud trial, and others
Experience with Public (AWS or Azure) or Private (OpenStack. etc) cloud-based deployment and support.
Experience with modern container systems such as , Kubernetes, ECS, EKS, Fargate, etc. preferred.
Experience with one or more automation tools such as Ansible, Chef, Puppet, Salt, Terraform, CloudFormation.
The ability to pick up new technologies quickly and rapidly deep-dive
Use of large-scale data processing tools such as Hadoop, Elastic Search.
A strong preference for collaborative teamwork and work/knowledge sharing.
Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree.