Sr. Software Engineer
About The Position
Inari is transforming agriculture through predictive design and AI. This role is for a senior engineer who will play a key role in shaping Inari’s Data & AI Platform and be a force multiplier for our engineering team. The engineer will take ownership of building and scaling the systems and capabilities that bring our Data & AI platform together – powering internal applications, tools, data workflows, and AI systems that our scientists and engineers rely on every day to advance our predictive design engine and product pipelines. This role is a key member of the platform engineering team and will be able to shape 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) so engineering teams can build, deploy, and operate applications and AI solutions through self-service.
- Build and evolve the integration layer across software, data, AI/ML, and scientific computing platforms. This includes 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, with a steady focus on automation, performance, and developer experience.
- Drive engineering excellence through architecture discussions, code reviews, documentation, and reusable patterns and standards.
Benefits
- Base pay
- Short-term incentive
- Long-term equity
- One-time new hire stock option grant
- Preferred Provider Network (PPO) health plan
- High Deductible Health Plan (HDHP) with a company-funded health savings account (HSA)
- Vision insurance
- Dental insurance
- Several flexible spending accounts (FSA)
- A host of voluntary benefits
- Robust wellness program
- 401k plan with company matching
- Flexible paid time off policy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
