Application Engineer II

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

The Application Engineer II is a solid individual contributor at Onyx. You will design, build, deploy, and operate data driven applications that serve our scientific community, turning loosely defined requirements into high quality features and production grade experiences. You will confidently break down small to medium sized engineering problems, lead implementation end to end, and collaborate across product, data, and platform teams. You are expected to champion engineering excellence through testing, documentation, observability, and secure by design practices, and to help onboard and mentor engineers so the team collectively delivers at a higher level.

In this role you will

• 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.
• Define, 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 a communication related field or Computer Science discipline together with significant demonstrable engagement experience within IT or Pharma company.
• Strong and dynamic communicator with excellent verbal and written communication 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 such as Google Cloud (preferred), AWS, Azure.
• Strong experience with modern software development tools/ways of working (e.g. GitHub, DevOps tools, metrics/monitoring).
• Proficiency in front end technologies: JavaScript, TypeScript, React.js, Angular.js or similar.
• API development using technologies and standards such as REST/GraphQL/gRPC.
• Experience in an open source web framework preferably implemented in Python, Java, Scala, or similar.
• Experience with Authentication & Authorisation mechanisms such as 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 embedding operation excellence culture within teams.
• Knowledge of database modelling, database concepts and SQL.
• Experience with data visualization frameworks such as D3.js, Plotly, Matplotlib, or similar.

Closing Date for Applications: Tuesday 6th January 2026 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application or selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process.

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.