Application Engineer Job Seattle area,Washington USA,IT/Tech

Position: Application Engineer I

The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and Dev Ops, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

Building a next‑generation data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics”
Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent
Aggressively engineering our data at scale to unlock the value of our combined data assets
Implementing scientific technology products that leverage the data and capabilities provisioned by Onyx

As an Application Engineer I, you are an early‑career individual contributor who reliably delivers well‑defined tasks and small features with guidance. You will learn and apply Onyx’s engineering standards, participate in the full software development lifecycle, contribute to testing, documentation, and observability, and help operate our applications in production. You will collaborate closely with peers across product, design, data, and platform teams, and grow your impact by asking great questions, seeking feedback, and continuously improving how you build and run software.

Key Responsibilities Implement well‑defined features and bug fixes across the stack (frontend, backend, APIs) with guidance; write clean, readable, and well‑tested code.

Build and consume APIs (primarily REST; exposure to Graph

QL/gRPC) following secure‑by‑design, authentication/authorization, and interoperability standards.

Contribute to CI/CD pipelines, test automation, and safe release practices; improve unit/integration test coverage and manual steps through automation.

Add and maintain observability (metrics, logs, traces) in your services with guidance; ensure basic alerts and dashboards are in place and documented.

Participate in agile ceremonies; help refine requirements, estimate tasks, and communicate progress, risks, and trade‑offs clearly.

Maintain for your work (README, ADRs, runbooks, onboarding guides); actively participate in code reviews as both author and reviewer.

Support production operations with guidance: shadow on‑call, triage low‑severity incidents, assist with root‑cause analysis, and contribute to durable follow‑ups.

Apply cloud‑native patterns and tools (containers, Kubernetes, managed services) to build reliable, scalable applications; learn and adopt Onyx platform standards.

Follow non‑functional requirements (security, performance, accessibility, reliability) and raise issues or risks early when gaps are identified.

Seek mentorship and feedback; contribute to a culture of learning, trust, and continuous improvement with a patient‑first mindset.

Why You? Basic Qualifications

Bachelor’s degree in a communication related field or in Computer Science discipline together with significant demonstrable engagement experience within IT or Pharma company.
1 year of relevant software engineering experience (internships, co‑ops, research projects, or industry)
Prior experience to deliver working software in a team setting (coursework, open‑source contributions, or prior roles)
Experience with agile development practices and collaborative tools
Programming:
Proficiency in at least one backend language (e.g., Python, Java, Go, JavaScript/Node.js); familiarity with modern language tooling and package management
Front‑end:
Basics in JavaScript/Type Script and a modern framework (e.g., React, Angular); HTML/CSS fundamentals
API development: REST fundamentals; request/response, pagination, error handling; use of tools like Postman/Insomnia
SDLC/Dev Ops: git/Git Hub, branching and PR workflows; basic CI/CD concepts; test automation (unit/integration)
Containers and cloud:
Docker fundamentals; exposure to Kubernetes; experience deploying to a cloud platform (GCP preferred; AWS/Azure acceptable)
Security:
Basic understanding of…


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