Application Engineer II

Overview

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 DevOps, 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.

Responsibilities

• Design, implement, test, document, and deploy full‑stack, data‑driven cloud applications; own features end‑to‑end from MVP to production‑grade experiences.
• Develop and operate reliable APIs and services (REST/GraphQL/gRPC) with strong authentication/authorization, observability, and performance characteristics.
• Operate and support applications in production, including participation in on‑call; create and maintain runbooks/playbooks; lead resolution of bugs and incidents in your area.
• Measure, and monitor key product and operational metrics (e.g., performance, reliability, cost); iterate to improve them through data‑informed decisions.
• Proactively improve test coverage, CI/CD pipelines, and release safety; champion automation and high‑quality software engineering practices.
• Identify and address gaps in observability, alerting, and monitoring; implement metrics, logs, traces, and SLOs that enable robust operations.
• Collaborate with product to refine user requirements, break down work, plan milestones, and communicate progress and risks to stakeholders.
• Contribute to system design within the team; propose pragmatic refactoring to reduce complexity and technical debt while balancing short‑ and long‑term needs.
• Produce clear documentation, proposals, and technical guides so others can understand, use, and build upon your work; actively participate in code reviews.
• Help onboard and mentor engineers in your team; share best practices and contribute to a culture of innovation, transparency, and trust with a patient‑first mentality.

Qualifications & Skills

• Bachelor’s degree in communication related field or in Computer Science discipline together with significant demonstrable engagement experience within IT or Pharma company.
• Strong and dynamic communicator with excellent verbal and written communications skills.
• Ability to manage time effectively without supervision and to organize, prioritize and deliver tasks and projects with a sense of urgency and close follow‑up of any open issues.
• Deep knowledge and use of at least one common web backend language: e.g., Python, Scala, Java, JavaScript (Node.js) including toolchains for documentation, testing, and operations / observability.
• Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, Azure.
• Strong experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, …).
• Proficiency in front‑end technologies: JavaScript, Typescript, React.js, Angular.js or similar.
• API development using technologies and standards like REST/GraphQL/gRPC or similar.
• Experience in an open‑source web framework preferably implemented in Python, Java, Scala, or similar.
• Experience with Authentication & Authorisation Mechanisms e.g OAuth2.
• Application experience of CI/CD implementations using git and a common CI/CD stack.
• Experience in agile software development and common environments such as Jira and Confluence.

Preferred Qualifications & Skills

• Master’s degree or higher.
• Significant experience delivering cross‑functional projects.
• Experience of embedding operation excellence culture within their teams.
• Knowledge of database modelling, database concepts and SQL.
• Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar.

Application Timeline

Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year.

Closing Date for Applications: Wednesday 18th February 2026 (COB)

Equal Opportunity Employment

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.