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Software Engineer Level III – Forward Deployed

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Pfizer

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Location:
China , Shanghai ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards. In this forward-deployed role, you will be embedded directly with business units in R&D. You will operate like a 'startup CTO,' bridging the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery-to-scale pipeline, you will identify recurring patterns and hand off validated solutions to Platform Engineers for generalization into enterprise capabilities. This role encompasses large features and technical initiatives including leading small projects. You will do self-directed work while seeking input on strategic decisions, shape team practices and mentor junior engineers. You will handle high complexity with comfort navigating ambiguity.

Job Responsibility:

  • 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
  • People: Mentor junior engineers on technical topics, contribute to hiring through interviews
  • Business: Translate business needs into technical solutions, manage stakeholder expectations
  • Process: Contribute to process improvement, maintain team workflows
  • Documentation: Create clear documentation for features you build, contribute to team knowledge bases

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field with 5-8 years of relevant experience
  • AI-Augmented Development: integrate AI tools strategically into development workflow, review AI-generated code with rigor
  • Business Immersion: apply deep domain knowledge to technical solutions, bridge business and technology conversations
  • Data Integration: integrate multiple data sources independently, clean messy datasets
  • Full-Stack Development: deliver complete features end-to-end independently—frontend, backend, database, and infrastructure
  • Multi-Audience Communication: present complex topics clearly to any audience, translate between technical and business language
  • Problem Discovery: navigate ambiguous problem spaces independently, discover requirements through observation
  • Rapid Prototyping & Validation: deliver working solutions rapidly (days not weeks)
  • Site Reliability Engineering: design observability strategies for services, lead incident response
  • Stakeholder Management: manage multiple stakeholders with different interests
  • Team Collaboration: facilitate collaboration across the team, resolve minor conflicts
  • AI Evaluation & Verification: apply systematic evaluation criteria to AI outputs
  • AI Literacy: explain the difference between ML models, rule-based systems, and generative AI
  • Architecture & Design: explain and apply common patterns (MVC, microservices, event-driven)
  • Cloud Platforms: deploy applications to cloud platforms and use common services
  • Code Quality & Review: write readable, well-structured code, use linting tools, write basic unit tests
  • Developer Experience: create friction logs documenting developer pain points
  • DevOps & CI/CD: configure basic CI/CD pipelines, understand containerization (Docker)
  • Knowledge Management: create searchable knowledge articles proactively
  • Lean Thinking & Flow: map workflows to identify bottlenecks
  • Pattern Generalization: identify patterns across multiple implementations
  • Service Management: document services owned, participate in service reviews
  • Technical Debt Management: document technical debt with context and business impact
  • Technical Writing: write clear READMEs, inline documentation, and technical guides

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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