Sr Staff Platform Engineer / Team Lead
$169,800–$233,400 year
On-siteCambridge, Massachusetts, United States or West Lafayette, Indiana, United States
Job Summary
Lead architecture and development of key software systems, platform components, pipelines, and services within Inari's Data & AI Platform. Build and mature core foundations including authentication, CI/CD pipelines, infrastructure as code, and reusable deployment frameworks to enable teams to host applications, run workflows, and expose APIs. Support infrastructure for modern AI-enabled systems, including agentic workflows, MCPs, and internal AI platform capabilities. Drive tighter integration across software engineering, data engineering, and scientific computing platforms using AWS, Kubernetes, Airflow, Databricks, and SageMaker. Serve as a senior technical voice to shape architecture decisions and standards while acting as the technical lead for a small, high-impact team of engineers.
Required Qualifications
- 7+ years of experience in software engineering, platform engineering, systems engineering, data engineering, or related technical roles
- 2+ years of experience in technical leadership or leading engineering projects
- Strong hands-on experience designing and building platform or systems architecture, especially in data, AI, or scientific computing environments
- Proficiency in Python
- Practical experience with AWS
- Experience with Kubernetes
- Experience with serverless architecture
- Experience with container-based infrastructure
- Experience building and integrating complex systems such as APIs, orchestration frameworks, data pipelines, workflow platforms, internal tools, or AI/ML infrastructure
- Ability to influence technical direction beyond your immediate team
- Clear communication skills, with the ability to translate technical tradeoffs for engineering, product, science, and leadership audiences
- A bias toward building practical, reusable, scalable systems that teams can actually use and operate
- This role may be located in Cambridge, MA or West Lafayette, IN
Desired Qualifications
- Experience with MCPs or similar AI agent integration frameworks
- Familiarity with Airflow
- Familiarity with Databricks
- Familiarity with SageMaker
- Familiarity with EKS
- Familiarity with Quilt
- Familiarity with MLflow
- Experience building internal developer platforms, shared engineering services, or platform capabilities for multiple teams
- Background in life sciences, agriculture, AgTech, biotech, or another domain where data and AI are central to scientific work
- Experience supporting production-grade AI, ML, RAG, agentic, or model-serving systems
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