FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Staff Platform Engineer – Team Lead
Inari MedicalPlatform architect leading AI, data, and cloud infrastructure for Inari’s predictive seed-design technology. Guiding platform architecture, integrations, and a high-impact engineering team.
Posted 8/5/2026full-timeCambridge • Massachusetts • 🇺🇸 United StatesSenior💰 $169,800 - $233,400 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software and platform engineering, with a strong focus on building scalable systems and integrating AI/ML capabilities. Proven ability to lead technical direction, influence architecture decisions, and enhance engineering standards across teams.
Highest-signal resume keywords
Software EngineeringPlatform EngineeringTechnical LeadershipPython ProficiencyAWS Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Systems ArchitectureData EngineeringAPI IntegrationOrchestration FrameworksData PipelinesAI/ML InfrastructureContainer-Based InfrastructureServerless ArchitectureMCPsWorkflow Platforms
Soft Skills
Influencing Technical DirectionTranslating Technical Tradeoffs
Tools & Technologies
AWSKubernetesAirflowDatabricksSageMakerEKSQuiltMLflow
Industry Keywords
Life SciencesAgricultureAgTechBiotechScientific Computing
Tech Stack
Tools & technologiesAirflowAWSKubernetesPython
About the role
Key responsibilities & impact- Lead the architecture and development of key software systems, platform components, pipelines, and services within Inari's Data & AI Platform
- Build and mature authentication and authorization patterns, CI/CD pipelines, infrastructure as code, and reusable deployment frameworks
- Enable teams to host internal applications, run workflows, expose APIs, use shared services, and build on the engineering platform
- Build and support infrastructure for AI-enabled systems, agentic workflows, MCPs, model-adjacent services, and internal AI platform capabilities
- Drive integration across software engineering, data engineering, AI/ML, and scientific computing platforms across AWS, Kubernetes/EKS, Airflow, Databricks, SageMaker, Quilt/S3, Python, and related services
- Serve as a senior technical voice driving architecture decisions, technical standards, platform strategy, and platform-first thinking
- Partner with the Director of AI & Data Engineering to set technical direction and identify platform priorities
- Represent engineering platform needs in leadership discussions
- Act as technical lead for a small, high-impact engineering team
- Set technical direction, review designs and code, and raise engineering standards
Requirements
What you’ll need- 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 in data, AI, or scientific computing environments
- Proficiency in Python
- Practical experience with AWS, Kubernetes, serverless architecture, and container-based infrastructure
- Experience building and integrating APIs, orchestration frameworks, data pipelines, workflow platforms, internal tools, or AI/ML infrastructure
- Ability to influence technical direction beyond the immediate team
- Ability to translate technical tradeoffs for engineering, product, science, and leadership audiences
- Bias toward practical, reusable, scalable systems that teams can use and operate
- Experience with MCPs or similar AI agent integration frameworks
- Familiarity with Airflow, Databricks, SageMaker, EKS, Quilt, MLflow, or related data and AI platform tooling
- 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
Benefits
Comp & perks- Base, short-term incentive, and long-term equity
- One-time new hire stock option grant
- Preferred Provider Network (PPO) health plan
- High Deductible Health Plan (HDHP)
- Company-funded health savings account (HSA)
- Vision insurance
- Dental insurance
- Flexible spending accounts (FSA)
- Voluntary benefits
- Robust wellness program
- 401k plan with company matching
- Flexible paid time off policy
- Professional development
- External collaboration with leaders of industry and academia
- Immigration sponsorship for candidates in certain qualified roles that meet performance criteria