Turning direction into software: working with a Senior Forward Deployed DevSecOps Engineer to agree an approach, coordinating with stakeholders as needed, then building it properly rather than knocking together a demo.
Keeping pace: most of what you'll build needs to land in days, not sprints, so you'll want to be comfortable shipping fast and adjusting as scientist feedback comes in.
Automation that actually sticks: wiring up instruments, lab systems and data platforms so what you build is still running after the project wraps up.
Getting the data right: pairing with data engineering so whatever you're building sits on data that's actually trustworthy.
Production-ready by default: security, testing and monitoring go in as you build, not after something's already gone wrong.
Leaving something behind: writing components and patterns that the next engineer, on this engagement or another one, can actually pick up and use.
Key Responsibilities
Working the Problem
Partner with Product Owners, Product Managers, Business Owners and scientists to understand laboratory and CMC workflows first-hand, clarify the required outcome and identify delivery, data, security or compliance risks early.
Translate the agreed approach into a realistic technical plan, build rapid prototypes using representative laboratory data and incorporate scientist feedback before progressing the solution.
Building and Shipping
Design, code and test software, integrations, automation and data pipelines, taking ownership of day-to-day technical decisions within the agreed architecture.
Develop successful prototypes into secure, reliable and supportable production solutions, confirming significant architectural decisions with a Senior Principal Forward Deployed DevSecOps Engineer or the relevant technical leader.
Coordinate dependencies with internal, vendor and contract engineers, communicate delivery risks promptly and provide clear code, documentation and handover materials.
Keeping It Secure and Reliable
Build continuous integration and continuous delivery pipelines that enable frequent, controlled and traceable releases.
Implement unit, integration and end-to-end testing, together with dependency scanning, secrets management and least-privilege access.
Apply relevant GxP, data-integrity, privacy and security requirements, documenting technical decisions and obtaining specialist guidance where needed.
Establish production observability using appropriate logging, metrics and alerting tools, and connect solutions with ServiceNow processes to support operational readiness and incident management.
Cloud Infrastructure
Provision approved Azure or Google Cloud Platform infrastructure through the central Digital Platforms team, following established architecture, networking, identity, security and cost-management guardrails.
Define infrastructure using Terraform and deploy applications using Kubernetes or Helm, applying appropriate settings for resilience, scaling and cost.
Maintain consistency across development, test and production environments by managing configuration and infrastructure changes through automated pipelines.
Contributing to Labs & CMC Solutions
Build and extend workflows and integrations within laboratory orchestration platforms, enabling scientists to manage and track work through connected systems.
Integrate laboratory instruments and systems to automate data capture and reduce manual entry.
Develop AI agents and workflow automation that reduce repetitive scientific and operational tasks.
Partner with data engineers to make laboratory, analytical and inventory data accessible and trustworthy for the solutions being developed.
Build Generative AI capabilities that support activities such as experiment planning, information retrieval and scientific decision-making.
Building With AI
Use approved AI-assisted software-development tools and agent workflows, reviewing, testing and validating generated outputs before use.
Reuse existing skills, prompts, components and Model Context Protocol connections, and contribute identified capability gaps to the wider team.
Build AI agents, retrieval-augmented generation pipelines and Model Context Protocol integrations, seeking technical guidance for complex evaluation or data-access decisions.
Apply appropriate guardrails, evaluation, traceability and human review to AI-enabled capabilities, particularly where scientific, regulated or GxP-relevant information is involved.
Working Well With Others
Escalate Responsible AI, data-integrity, security or validation concerns as soon as they are identified.
Contribute reusable components, agents and engineering patterns to the Labs & CMC library, supported by documentation that enables adoption by other engineers.
Support internal, vendor and contract engineering colleagues with technical problem-solving and knowledge sharing.
Share delivery lessons, recurring risks and improvement opportunities with technical leaders so that they can inform broader engineering decisions.
What You Bring
Required Experience
5+ years building software professionally, across full-stack, data or AI/ML work, including some time on systems that actually reached production, not just proofs of concept.
Comfortable taking a reasonably well-defined problem and shipping working software against it quickly.
Solid Python, plus at least one of TypeScript/JavaScript, Go or similar.
Hands-on with GenAI patterns, including agents, RAG, prompt engineering and evaluation, not just familiar with the terms.
Some experience with workflow orchestration tools (n8n, Airflow, Temporal) and working alongside data engineers.
DevSecOps basics: CI/CD pipelines, automated testing, security scanning built into how you work rather than applied afterwards.
Cloud experience on Azure or GCP, our preferred platforms, including provisioning with Terraform and deploying with Kubernetes or Helm.
Comfortable setting up observability with Grafana, Prometheus or Elastic, and familiar with how ServiceNow fits into incident and change processes.
Use AI coding tools such as Claude Code or GitHub Copilot daily, not occasionally.
Comfortable working closely with a more senior engineer on the shape of a problem, while owning how you build the solution yourself, and ready to take on more of that framing role as you gain experience.
Comfortable working across time zones with a distributed team.
Some exposure to regulated environments, so security, privacy and quality considerations aren't new territory.
Preferred Experience
A background in pharma, biotech or life sciences.
Instrument integration, robotics or closed-loop experimentation experience.
Familiarity with GxP, computer system validation or data integrity requirements.
Hybrid cloud experience.
A previous stint as a Forward Deployed Engineer, Customer Engineer or Solutions Architect.
Have worked alongside vendor or contract engineers on a shared piece of delivery.
Contributed a pattern or component that someone else actually reused.
Education
Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering or a related subject, or relevant industry experience.
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Skills
Agile Methodology, API Management, CI/CD, Cloud Based Services, Computer Programming, Configuration Management (CM), Containerization, Database Management, High Availability (Inactive), Infrastructure As Code (IaC), Microservices Architecture, Network Security, Operating Systems (OS), System Monitors, Version Control System
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
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