ROLE SUMMARY
We are seeking a skilled Software Engineer who will design, build, and maintain internal tools and infrastructure that enable teams across the organization to deliver software efficiently. In this role, you will focus on code quality, architecture decisions, and creating reliable, scalable systems while leveraging AI tools to enhance developer productivity. You will verify and review AI-generated code to ensure it meets our quality standards.
You will build and maintain foundational services and tooling that serve multiple business units. Your focus will be on creating the shared infrastructure, APIs, and developer experiences that product teams rely on to build and ship software. You will reduce friction, improve deployment pipelines, and enable self-service capabilities across the organization.
As part of an enabling team, you will identify common patterns and pain points across product teams and build generalized solutions that scale. You will create reusable components and tooling that accelerate delivery across multiple teams.
This role encompasses multi-team initiatives with organizational impact. You will set own direction within broader strategic goals, influence multiple teams, and be recognized as a domain expert in developer tooling and infrastructure.
ROLE RESPONSIBILITIES
Delivery: Lead technical delivery of complex infrastructure and platform projects across multiple teams, unblock others through hands-on contributions, and ensure engineering quality
AI: Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, and balance speed with verification
Business: Drive business outcomes through technical solutions across your area, influence product roadmaps, and partner effectively with business stakeholders
Process: Drive process efficiency within your team, coordinate cross-functional technical work, and lead retrospectives
Documentation: Design documentation strategies for your projects, ensure knowledge persists beyond individuals, and write specifications that enable effective collaboration
ROLE BEHAVIOURS
Don't Lose Your Curiosity: Drives team curiosity through challenging questions; creates environments where exploration and experimentation are encouraged; models problem discovery orientation; seeks out ambiguity rather than avoiding it
Own the Outcome: Drives accountability culture focused on outcomes not deliverables; owns business relationships and impact metrics across their function; makes trade-offs between custom solutions and generalizable work; there is no "I must run this by X"; ensures verification rigor for AI-generated code
Be Polymath Oriented: Bridges gaps between engineering, design, business, and science; rapidly immerses in new domains; speaks the language of Commercial, Manufacturing, or R&D; makes better decisions by understanding broader context
Communicate with Precision: Separates requirements, designs, and tasks with precision; enables AI to generate accurate code through clear specifications; translates between technical and business language; facilitates productive discussions
Think in Systems: Maps complex system interactions across technical and business domains; anticipates cascading effects; designs systems that degrade gracefully; understands how technology changes impact business operations
PRACTITIONER-LEVEL SKILLS
AI-Augmented Development: You optimize AI tool usage across teams in your area, train engineers on AI-augmented workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigor.
Business Immersion: You immerse in operations until you think like an insider. You rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion.
Data Integration: You navigate complex enterprise data landscapes across teams, build relationships to gain data access, handle undocumented schemas through investigation, and build robust, maintainable integration solutions. You mentor engineers in your area on data integration challenges.
Full-Stack Development: You build complete applications rapidly across any technology stack for teams in your area. You select the right tools for each problem, balance technical debt with delivery speed, and mentor engineers on full-stack development.
Multi-Audience Communication: You influence through communication at all levels—from frontline to executive. You handle difficult conversations skillfully, train engineers in your area on effective communication, and represent teams across the function.
Problem Discovery: You seek out undefined problems rather than avoiding them. You embed with users to discover latent needs, coach engineers in your area on problem discovery techniques, and turn ambiguity into clear problem statements.
Rapid Prototyping & Validation: You lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, establish trust through consistent fast delivery, and define clear criteria for prototype-to-production transitions.
Site Reliability Engineering: You define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, and mentor engineers on SRE practices.
WORKING-LEVEL SKILLS
Architecture & Design: You design components and services independently for moderate complexity. You make appropriate trade-off decisions, document design rationale, and consider AI integration points in your designs.
Cloud Platforms: You design cloud-native solutions, manage infrastructure as code, implement security best practices, and make informed service selections. You troubleshoot cloud-specific issues.
Code Quality & Review: You produce consistently high-quality, well-tested code. You review AI-generated code critically and never ship code you don't fully understand. You identify edge cases and ensure adequate test coverage.
Developer Experience: You design golden paths—opinionated, well-documented workflows developers can follow with minimal cognitive load. You conduct user research, create self-service capabilities, and build for Day 50, not just Day 1.
DevOps & CI/CD: You build complete CI/CD pipelines end-to-end, manage infrastructure as code (Terraform, CloudFormation), implement monitoring, and design deployment strategies for your services.
Knowledge Management: You design knowledge structures for discoverability, ensure knowledge accessibility across teams, facilitate knowledge sharing sessions, and reduce single-person dependencies.
Lean Thinking & Flow: You optimize team processes systematically, measure and improve cycle time, remove bottlenecks proactively, and deliver rapidly while maintaining quality.
Pattern Generalization: You extract reusable components from field solutions, design appropriate abstractions that balance flexibility with simplicity, and collaborate with FDEs to validate generalized solutions in new contexts.
Technical Debt Management: You prioritize debt systematically based on risk and impact, balance debt reduction with feature work, and make pragmatic trade-offs. You know when to take on debt intentionally.
Practical and demonstrable experience of building platforms and apps with multiple of the following technologies AWS, N8N, Cloudflare, Supabase, NextJS, Terraform.
QUALIFICATIONS
Bachelor's degree in Computer Science, Engineering, or related field with 6+ years of relevant experience.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Work Location Assignment: Hybrid
Relocation assistance may be available based on business needs and/or eligibility.
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EEO & Employment Eligibility
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.
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