Job Title: DevOps/Infrastructure Engineer This position is required to be on-site 3 days / week in South San Francisco, CA The Position
The Early Clinical Development (ECD) department is seeking a talented and motivated
DevOps/Infrastructure Engineer to report to the Software Engineering leader within the
Clinical Data Insights & Automation (CDI&A) team. The CDI&A team partners with a wide range of stakeholders including Clinical Science,
Clinical Operations, Medical Writing, Quality, and Regulatory to create industry-leading
solutions for highly complex business problems. . This role will be primarily responsible for building, deploying, and maintaining the infrastructure for cutting-edge software that leverages generative AI models and applications. You'll work closely with data analysts, full-stack developers, and others to
ensure the reliability, scalability, and security of our innovative solutions. Your work will
directly impact our ability to deliver AI-driven tools that solve complex problems and
enhance user experiences.
The Opportunity
Build our DevOps foundation: Architect and maintain the infrastructure that
powers our next-generation applications and integrates with large language
models.
Work with a cutting-edge tech stack: Utilize container orchestration, cloud
platforms, and ML pipeline automation to build scalable systems.
Collaborate with experts: Work closely with data scientists and machine learning
engineers to ensure seamless model deployment and optimal performance at
scale. Who You Are
A seasoned DevOps/Infrastructure Engineer with a passion for automation and a
deep understanding of CI/CD principles.
A problem-solver who thrives on tackling complex technical challenges related to
application deployment, service reliability, and system scalability.
Someone with hands-on experience with cloud platforms and containerization
technologies, skilled in managing large-scale distributed applications.
A professional who is comfortable optimizing performance for high-traffic
workloads and has a strong foundation in software engineering.
Minimum Requirements
3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS,
EC2).
Experience with caching and data store technologies like Redis.
Proficiency in scripting languages such as Python, Bash, or Go.
Hands-on experience with containerization (Podman, Docker) and container
orchestration (Kubernetes, Helm Charts).
Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub
Actions).
Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and
GitOps (Argo CD).
Experience with monitoring and observability tools (Portkey, Prometheus,
Grafana, ELK stack).
Experience with cloud data warehousing / analytics platforms (e.g., Snowflake,
BigQuery, Redshift).
Proficiency in full-stack application development.
Knowledge of system administration, particularly with Linux.
Experience with security best practices and compliance frameworks.
Strong incident management and root cause analysis skills.
Bachelor's degree in Computer Science, Engineering, or a related field.
Preferred Qualifications
Experience with microservices architecture and managing distributed systems.
Experience with DevSecOps practices and security scanning tools.
Experience with database administration and management, including
performance tuning, backups, and disaster recovery.
Experience with cloud cost optimization strategies, performance engineering,
and application optimization. This position is required to be on-site 3 days / week in South San Francisco, CA |