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Inari Medical

Senior Staff Platform Engineer – Team Lead

Inari Medical

Platform 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 fit
Core Competencies

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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

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Applicant Tracking System Keywords

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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 & technologies
AirflowAWSKubernetesPython

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