About the role

AI summarised

The Staff DevOps Engineer at Illumina will optimize deployment and management of global cloud-based informatics assets, including BaseSpace Sequence Hub and Illumina Connected Analytics, while providing operational support and driving automation across CI/CD pipelines. This role involves collaborating with engineering and test teams to automate build, test, and deployment processes using modern DevOps tools like Terraform, Ansible, Jenkins, and Kubernetes on AWS. The engineer will also ensure service continuity, security, and compliance across global SaaS offerings, participate in a follow-the-sun on-call rotation, and contribute to scalable, resilient cloud infrastructure.

BiotechOnsite

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