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Principal Software Engineer
PfizerPrincipal Software Engineer shaping Pfizer’s AI-enabled digital transformation and enterprise technology strategy. Architecting full-stack, cloud, data, ML, and LLM solutions to accelerate drug discovery and improve patient outcomes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack development, AI integration, and data architecture while driving technical strategy and fostering high-performing teams. Capable of transforming complex challenges into actionable solutions through effective stakeholder management and communication.
Highest-signal resume keywords
Full-Stack DevelopmentAI Evaluation and VerificationData Integration ArchitectureTechnical LeadershipCloud-Native Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DesignCode QualityArchitecture and DesignData ModelingCI/CD PipelinesMachine Learning StrategyTechnical WritingService ManagementSite Reliability EngineeringRapid Prototyping
Soft Skills
Team CollaborationStakeholder ManagementProblem DiscoveryCuriosityPrecise Communication
Tools & Technologies
Cloud PlatformsAI ToolsInfrastructure as CodeMonitoring ToolsDevOps Practices
Certifications & Qualifications
Bachelor's Degree in Computer ScienceEngineering or Related Field
Industry Keywords
Technical StrategyEngineering Delivery PracticesDeployment Best PracticesKnowledge ManagementPolymathic Engineering
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design, build, and maintain software systems that deliver business value
- Focus on code quality, architecture decisions, and reliable delivery
- Leverage AI tools to enhance productivity and verify AI-generated code against quality standards
- Bridge product development and business problem-solving through rapid solution delivery and domain expertise
- Identify recurring patterns and lead validated solution generalization into enterprise capabilities
- Define organization-wide technical strategy and architectural direction
- Drive delivery of critical technical initiatives and establish engineering delivery practices
- Shape deployment strategy, platform adoption, and deployment best practices
- Define data integration patterns, architect large-scale data flows, and solve complex integration challenges
- Deliver production full-stack solutions rapidly and shape full-stack engineering practices
- Transform ambiguous situations into clear opportunities through problem discovery
- Establish prototype-to-production practices, handoff standards, and quality gates
- Shape AI engineering strategy, AI observability, evaluation, literacy, augmented development, and LLM integration
- Shape developer experience, knowledge management, pattern generalization, and technical writing strategy
- Define machine learning strategy and lead model development, fine-tuning, and retrieval augmentation initiatives
- Shape technology-driven business strategy and represent the technical perspective at executive level
- Manage executive stakeholder relationships and represent engineering at the highest levels
- Develop technical leaders, shape engineering talent strategy, build high-performing teams, and mentor others
- Shape organizational practices around curiosity, outcome ownership, polymathic engineering, precise communication, and systems thinking
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience
- Deep technical expertise
- Proven track record of organization-wide technical leadership
- Expert-level business immersion, data integration, full-stack development, multi-audience communication, problem discovery, rapid prototyping and validation, stakeholder management, and team collaboration
- Practitioner-level AI evaluation and verification, AI literacy, AI-augmented development, architecture and design, code quality and review, developer experience, knowledge management, pattern generalization, service management, site reliability engineering, and technical writing
- Working-level cloud platforms, data modeling, DevOps and CI/CD, lean thinking and flow, technical debt management, and time management/deep work
- Ability to work comfortably in any programming language and rapidly acquire new skills
- Ability to architect large-scale data flows and complex multi-component systems
- Ability to design cloud-native solutions, infrastructure as code, CI/CD pipelines, monitoring, and deployment strategies
- Ability to establish AI governance, evaluation standards, human-in-the-loop workflows, and verification processes
- Ability to define reliability, documentation, developer experience, and knowledge management standards across teams
Benefits
Comp & perks- Flexible workplace culture
- Work-life harmony
- Reasonable adjustments for disability inclusion
- Opportunity to grow and develop a career
- Ownership culture
- Diverse and inclusive workforce
- Opportunity to impact the health and lives of millions of people