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Position Summary
Illumina is one of the most successful biotech companies to create World-Class SoftwareSolution that revolutionizes the healthcare industry. As a member of our Research and Development team in Singapore, you will have opportunity to work with the best and brightest talents in the industry from Silicon Valley, San Diego and Cambridge, UK. Our team develops the software that powers the most advanced DNA sequencers in the world. We create the Informatics ecosystem that define the genomics industry to provide the best user experience for scientists, researchers, and healthcare professional. We use the latest SW technology such as .NET Core, Restful APIs, MicroServices Architecture, Cloud Computing on AWS in our new product development.
This role is on a DevOps team optimizing the deployment and management of Illumina's global cloud-based informatics assets, such as BaseSpace Sequence Hub, Illumina Connected Analytics, Illumina Connected Insights, and Correlation engine, while also providing front line development and operational support of those assets.
You will bring subject matter expertise and focus on continuous integration and deployment pipelines. Your charter is to collaborate with Engineering, Test, and DevOps to consolidate frameworks and automate as possible from code analysis, build, integration with test automation suites, and ultimately enabling hands-off deployments to global AWS environments.
You will support our cloud SAAS globally as a member of our DevOps team and proactively collaborate with the UK and US teams to ensure service continuity and security. The successful candidate will be working on various cutting-edge DevOps tools and technologies (Terraform, Ansible, Jenkins, Kubernetes, docker, Cloud etc) to manage Cloud-based enterprise applications. They will be expected to help providing breakthrough genomics informatics solutions worldwide enabling the transformation of human health through DNA sequencing.
Tasks and 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.
Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.
Position 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.
All listed requirements are deemed as essential functions to this position however, business conditions may require reasonable accommodations for additional task and responsibilities.
Preferred Experience/Skillsets:
Typically requires a minimum of 8 years of related experience with a Bachelor's degree or 6 years and a Master's degree.
Job ID: 145028801