Alphanumeric Systems is a global leader committed to improving lives through medical and pharmaceutical innovation. They are seeking a Lead Technical Consultant – Level 3 (Data Platform Engineer) to deliver scalable, high-impact data platform solutions and provide technical leadership within their engineering team.
Responsibilities:
- Design, build, and maintain cloud-native data platform solutions
- Develop reusable frameworks and components to accelerate data product development
- Own end-to-end delivery of platform services, including monitoring and optimization
- Implement observability, performance tuning, and reliability improvements
- Define and track metrics to measure platform performance and impact
- Mentor junior engineers and provide technical leadership across projects
- Collaborate cross-functionally with data engineers, scientists, and platform teams
Requirements:
- Strong experience with Google Cloud Platform (GCP) including: Cloud Run, GKE, Cloud Storage, Artifact Registry, IAM
- Advanced Python development (automation, tooling, pipelines)
- Hands-on experience with Docker: Multi-stage builds, image optimization, security best practices
- Experience building and maintaining CI/CD pipelines for containerized environments
- Strong background in debugging and observability: Logging, monitoring, distributed tracing (Cloud Logging, Cloud Monitoring, etc.)
- Proven ability to diagnose and resolve performance issues in cloud-native systems
- Bachelor's degree with 8+ years of experience, or Master's degree with 5+ years of experience
- Experience with Nextflow (workflow orchestration)
- Exposure to bioinformatics / genomics / multi-omics / imaging pipelines
- Experience with GCP Batch for large-scale workloads