Sr. Software Engineer

Inari•Cambridge, MA

17h•Hybrid

About The Position

Inari is transforming agriculture through predictive design and AI, and the platform powering that mission is crucial. This role involves shaping Inari’s Data & AI Platform and acting as a force multiplier for the engineering team. The ideal candidate will be involved in designing, building, and scaling the systems and capabilities that integrate the Data & AI platform, supporting internal applications, tools, data workflows, and AI systems used by scientists and engineers to advance predictive design and product pipelines. This is a key role within the platform engineering team with the opportunity to influence the system architecture of Inari.

Requirements

4+ years of experience in software engineering, platform engineering, systems engineering, or related technical roles.
Strong hands-on experience designing and building distributed systems, platform services, or cloud-native infrastructure, ideally in data, AI, or scientific computing environments.
Proficiency in Python and hands-on experience with AWS and serverless architecture.
Experience building and integrating complex systems such as APIs, orchestration frameworks, data pipelines, workflow platforms, internal tools, or AI/ML infrastructure.
Experience deploying and operating containerized applications in production Kubernetes environments.
Hands-on experience with infrastructure as code (Terraform preferred), CI/CD pipelines, and observability tooling.
Clear communication skills, with the ability to explain technical designs, tradeoffs, and operational considerations to engineers and cross-functional partners.
A bias toward building modular, reusable, scalable systems that teams can use and operate.

Nice To Haves

Experience building AI-enabled platforms, including agentic systems, MCPs, RAG pipelines, model-serving infrastructure, or similar technologies.
Familiarity with modern data and AI platforms such as Airflow, Databricks, SageMaker, MLflow, or Quilt.
Experience implementing authentication, authorization, secrets management, auditability, and least-privilege access patterns.
Background in life sciences, agriculture, biotechnology, or other scientific computing environments.

Responsibilities

Design, build, and operate core platform services that power Inari's Data & AI ecosystem, including APIs, agentic workflows, MCP servers, and internal developer tooling.
Build reusable platform foundations (authentication and authorization, CI/CD, infrastructure as code, observability, deployment frameworks) to enable self-service for engineering teams to build, deploy, and operate applications and AI solutions.
Build and evolve the integration layer across software, data, AI/ML, and scientific computing platforms, including backend services, event-driven systems, and workflow orchestration across AWS, Databricks, SageMaker, Kubernetes, Quilt/S3, and Bedrock.
Own the reliability, scalability, security, and operational health of platform services, focusing on automation, performance, and developer experience.
Drive engineering excellence through architecture discussions, code reviews, documentation, and reusable patterns and standards.

Benefits

Competitive pay
Rewards for results
Base pay
Short-term incentive
Long-term equity
One-time new hire stock option grant
Comprehensive benefits package
Preferred Provider Network (PPO) health plan
High Deductible Health Plan (HDHP) with company-funded health savings account (HSA)
Vision insurance
Dental insurance
Several flexible spending accounts (FSA)
Host of voluntary benefits
Robust wellness program
401k plan with company matching
Flexible paid time off policy