Senior Associate - Software Engineer in Tadworth

Use Your Power for Purpose

At Pfizer, technology drives everything we do. Our digital and 'data first' strategy focuses on implementing innovative and impactful technology solutions across all functions, from research to manufacturing. Whether you are digitizing drug discovery and development, identifying innovative solutions, or streamlining our processes, you will be making a significant impact on countless lives.

What You Will Achieve

• Apply your skills and knowledge to support work within the team, making decisions to resolve moderately complex problems within guidelines and policies.
• Use your judgment to modify methods and techniques as needed.
• Develop and maintain robust software solutions, including coding, testing, debugging, documentation, and implementation.
• Collaborate with technical resources and end-users to enhance system robustness and usability.
• Understand and interpret business needs to develop prototypes, recommend improvements, and devise innovative solutions, while documenting and transferring knowledge to colleagues.

Role Responsibilities

• Delivery: Own feature delivery from design through deployment, making sound technical trade-offs to ship value on time.
• AI: Integrate AI capabilities into solutions, critically evaluate AI-generated code, and never ship code you don’t understand.
• People: Mentor junior engineers on technical topics, contribute to hiring through interviews, and actively build team knowledge.
• Business: Translate business needs into technical solutions, manage stakeholder expectations, and articulate technical decisions in business terms.
• Process: Contribute to process improvement, maintain team workflows, and coordinate with adjacent team members.
• Documentation: Create clear documentation for features you build, contribute to team knowledge bases, and update docs proactively.

Role Behaviours

• Don’t Lose Your Curiosity: Proactively investigates root causes; experiments with new technologies and AI capabilities; protects time for exploration; treats failure as learning; discovers requirements through immersion in problem spaces.
• Own the Outcome: Takes end-to-end ownership of features and business outcomes; accepts technical debt intentionally when it accelerates value; builds trust through rapid delivery of working solutions; owns stakeholder relationships; balances quality with delivery speed.
• Be Polymath Oriented: Applies knowledge from one domain to inform decisions in another; studies adjacent fields like design, business, or science; begins learning domain language of business partners.
• Communicate with Precision: Writes clear documentation and specifications; reduces ambiguity in requirements; crafts effective prompts for AI tools; adapts communication style for different audiences.
• Think in Systems: Identifies upstream and downstream impacts; uses observability tools to trace requests across services; understands feedback loops; maps dependencies before making changes.

Working-level Skills

• AI-Augmented Development: You integrate AI tools strategically into your development workflow. You review AI-generated code with the same rigor as human code and never ship code you don’t fully understand.
• Business Immersion: You apply deep domain knowledge to technical solutions, bridge business and technology conversations fluently, speak the domain language naturally, and shadow operations to build understanding.
• Data Integration: You integrate multiple data sources independently, clean messy datasets, handle inconsistent formats and missing values, and document data lineage. You troubleshoot integration failures.
• Full-Stack Development: You deliver complete features end-to-end independently—frontend, backend, database, and infrastructure (CloudFormation/Terraform). You make pragmatic technology choices and deploy what you build.
• Multi-Audience Communication: You present complex topics clearly to any audience, facilitate productive discussions, translate between technical and business language fluidly, and write compelling proposals and specifications.
• Problem Discovery: You navigate ambiguous problem spaces independently. You discover requirements through observation and user shadowing, reframe problems to find higher-value solutions, and distinguish symptoms from root causes.
• Rapid Prototyping & Validation: You deliver working solutions rapidly (days not weeks). You use prototypes to build stakeholder trust, know when to stop prototyping and start productionizing, and balance speed with appropriate quality.
• Site Reliability Engineering: You design observability strategies for your services, lead incident response, implement resilience testing, and conduct blameless post-mortems. You balance reliability investment with feature velocity.
• Front End / US Experience with React, Angular, or Vue, Ability to build simple, intuitive user interfaces for analytics applications, Understanding of UX principles for data-heavy applications.

Foundational-level Skills

• AI Evaluation & Verification: You apply systematic evaluation criteria to AI outputs, understand common AI failure modes (hallucination, bias, outdated training data), and question AI outputs rather than accepting them.
• AI Literacy: You explain the difference between ML models, rule-based systems, and generative AI. You identify potential AI applications in your work and understand common AI limitations and failure modes.
• Architecture & Design: You explain and apply common patterns (MVC, microservices, event-driven) to familiar problems. You contribute to design discussions and identify when existing patterns don’t fit.
• Cloud Platforms: You deploy applications to cloud platforms and use common services (compute, storage, databases, queues). You understand cloud pricing and basic security configuration.
• Code Quality & Review: You write readable, well-structured code. You use linting tools, write basic unit tests, and participate constructively in code reviews—both giving and receiving feedback.
• Developer Experience: You create friction logs documenting developer pain points. You write getting-started guides and contribute to improving existing golden paths based on user feedback.
• DevOps & CI/CD: You configure basic CI/CD pipelines, understand containerization (Docker), and can troubleshoot common build and deployment failures.
• Knowledge Management: You create searchable knowledge articles proactively, maintain team documentation, and organize information so others can find it.
• Lean Thinking & Flow: You map workflows to identify bottlenecks, apply basic lean techniques (WIP limits, pull systems), and suggest process improvements for your work.
• Pattern Generalization: You identify patterns across multiple implementations and propose candidates for generalization. You understand the trade-offs between custom and reusable solutions.
• Service Management: You document services you own, participate in service reviews, handle basic service requests, and understand SLAs for your services.
• Technical Debt Management: You document technical debt with context and business impact, contribute to prioritization discussions, and address debt in code you touch.
• Technical Writing: You write clear READMEs, inline documentation, and technical guides. You update existing docs when making changes and ensure documentation matches implementation.

Qualifications Here Is What You Need (Minimum Requirements)

• Must have a Bachelor’s degree with two years of relevant experience; OR Master’s degree with one year of relevant experience; OR Associate's degree with six years of relevant experience; OR eight years of relevant experience with a high school diploma or equivalent.
• Demonstrated successful delivery of experiences using Agile development, especially scaled agile and lean techniques and methodologies.
• Proficiency in writing software in an object-oriented language.
• Excellent verbal and written communication skills.

Bonus Points If You Have (Preferred Requirements)

• Working knowledge of Commercial Data / Pharma Commercial Analytics systems (Forecasting, market research, Brand Launches).
• Working with Data Product, Agentic / ML models.

Other Job Details

• Last Date to Apply for Job: February 13, 2026.
• Eligible for Relocation Package: Yes.
• Work Location Assignment: Must be able to work from the assigned Pfizer office 2-3 days per week, or as needed by the business.

The annual base salary for this position ranges from $68,600.00 to $110,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage.

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.