About the Organization
We are looking for a software engineer who builds things that last and ships things that work - someone who holds both as a standard, not a trade-off.

This is a hands-on engineering role. You will write code every day, own features from design through deployment, and be a meaningful contributor to a product used by clinical teams at scale. The work sits at the intersection of complex domain logic (clinical study design) and a fast-moving technology landscape, including AI. Neither of those things should intimidate you.

The engineers who thrive here are the ones who treat a working system as something to understand before they change it, who can move fast without leaving a mess, and who know the difference between a decision that should be revisited and one that should be made carefully the first time.

What the Work Looks Like

You will be part of the product engineering team building Study Designer - a product that helps clinical teams design, plan, optimize and execute trials more effectively. The team ships continuously and owns its deployments. That means you are responsible for your code in production, not just in a pull request.

Day to day you will:

• Develop and ship features across the full stack - frontend, backend, infrastructure

• Collaborate directly with product, design, and domain experts to turn requirements into good software

• Participate in code review as someone who gives and receives meaningful feedback

• Contribute to how the team works: surfacing problems early, improving processes, raising the quality bar

Essential Skills and Experience

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of hands-on software development experience, with a track record of shipping production systems

• History of working across the stack, not deep in one layer

• Comfortable in fast-moving environments where the requirements and the technology are both evolving

What We're Looking For

• You build things end-to-end. You are comfortable across the stack and don't draw hard lines at the edge of your comfort zone. You understand how your code lands in production - what the deployment looks like, how it behaves under load, how it fails, and how you'd know. Infrastructure is not someone else's problem.

• You have judgement about quality. You write code that the next engineer can read, extend, and safely change. You know when "good enough" is genuinely good enough and when cutting corners creates debt you'll be paying back for months. You test your own work meaningfully, not just to hit coverage numbers.

• You use AI fluently, not blindly. AI tooling is a standard part of how you work. You use it to move faster - on coding, on learning unfamiliar patterns, on working through problems. But you evaluate the output rather than accepting it. You understand that generating code and understanding code are different things, and you don't confuse them. You bring judgment to what the model produces; the model accelerates that judgement, it doesn't replace it.

• You are curious about the domain. Clinical trial design is a specialized space. You don't need to know it coming in, but you need to be genuinely interested in learning it - because the best solutions come from understanding the problem, not just the ticket.

• You raise the room. At this level, your impact extends beyond your own output. You give clear, useful feedback in code review. You share context instead of hoarding it. You flag problems before they become incidents. You make the people around you better at what they do.

Technical Skills

This is a representative view of our stack. We don't expect full coverage - but given the scope of the role, you should be able to pick up unfamiliar parts quickly and deliberately.

• Frontend: React, TypeScript, Vite, Tailwind, shadcn/ui

• Backend: Node.js, Python, FastAPI, Next.js, Kafka, PostgreSQL (SQLAlchemy / asyncpg), DynamoDB (PynamoDB), MongoDB

• Infrastructure: AWS (primary), Docker, Kubernetes (EKS), AWS CDK (TypeScript), ECS Fargate, RDS, S3, ElastiCache

• DevOps: GitHub Actions, NX, pnpm, Docker/Buildx

• AI / ML Infrastructure: AWS Bedrock, LiteLLM, LangFuse (observability), OpenTelemetry, RAG pipelines, MCP

• AI Tools: Claude Code, Cursor, Copilot - or equivalents

SO, WHAT'S NEXT?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.

Where can I find out more?

• Explore what we're building: www.evinova.com
• Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/

Apply today to bring smarter, faster clinical trials to life!

#LI-Hybrid

The annual base pay for this position ranges from $127,352.00 - $167,149.50 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Date Posted
09-Sept-2026

Closing Date
29-Sept-2026