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Principal Software Engineering Lead; eCOA - Evinova

Job in Gaithersburg, Montgomery County, Maryland, 20883, USA
Listing for: AstraZeneca GmbH
Full Time, Part Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Software Engineer
Salary/Wage Range or Industry Benchmark: 165656 - 217424 USD Yearly USD 165656.00 217424.00 YEAR
Job Description & How to Apply Below
Position: Principal Software Engineering Lead (eCOA) - Evinova

WHY JOIN US?

Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigour, and human insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group.

Digital health, the point at which healthcare, technology, data and analytics converge, is the subject of phenomenal promise, with the World Health Organisation believing it has the potential to improve health for everyone. At AstraZeneca, we’ve been working hard to make this a reality, with the years of experience we have accumulated enabling us to now embed digital health at scale across R&D.

To achieve our goal of improving patient experience and outcomes AstraZeneca has Digital Health as one of the top 4 strategic priorities for the company, details on digital health strategy can be found here. Oncology is the largest therapeutic area within AstraZeneca and second highest cause of death globally, with AstraZeneca’s ambition to eliminate cancer as a cause of death.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face‑to‑face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategise, brainstorm and connect on key projects.

About

Our Engineering Organization

Our Product Engineering organization consists of cross‑functional squads with the people and skills needed to deliver innovative digital products to patients and healthcare providers in clinical trials worldwide. We ship on quarterly program increments using agile methodology. We are proud to have one of the strongest software development teams in the health tech space, with deep technical and domain skills. This is a place where you build real things, solve hard problems, and grow alongside engineers who care deeply about their craft and its purpose.

About

the Role

This is not a traditional management role. We are looking for a hands‑on engineering leader who writes and reviews code, makes architecture decisions in pull requests, and leads by building alongside their team. You will own the technical direction and delivery of our eCOA product area while leading a multi‑squad engineering organization.

You will spend a significant portion of your time in the codebase: reviewing pull requests, pairing with engineers on complex problems, evaluating AI‑assisted development workflows, and ensuring our architecture scales. The remainder of your time is spent on team development, cross‑functional collaboration, and technical strategy.

We expect you to be the strongest technical voice in the room on your product area, someone who can credibly challenge an architectural decision, spot issues in a code review, and prototype solutions to unblock the team.

Key Responsibilities Hands‑On Technical Leadership (50%+ of your time)
  • Regularly review pull requests, provide substantive code‑level feedback, and enforce quality standards across squads.
  • Make and own architectural decisions for the eCOA platform, including API design, data models, service boundaries, and infrastructure choices.
  • Write production code, particularly for complex or foundational components where your expertise accelerates the team.
  • Pair with engineers on difficult problems and use these sessions as coaching opportunities.
  • Drive adoption of AI‑assisted development tools and workflows, establishing team conventions for AI code generation, prompt engineering, and automated testing.
  • Define and enforce technical standards: testing strategy, CI/CD pipeline health, observability, and deployment practices.
AI‑Native Engineering Culture
  • Embed AI tools (coding assistants, agentic workflows, automated code review) into the team’s daily development process as a force multiplier, not an experiment.
  • E…
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