Principal Software Engineer - Agentic PDLC/SDLC

Engineering Excellence & Architectural Leadership

• Design and evolve scalable systems supporting AI-assisted development (e.g., GitHub Copilot, Claude Code integrations), autonomous code refactoring, simulation testing environments, automated OKR tracking, and feedback-driven observability
• Redefine and enforce company-wide technical standards for system reliability, performance, observability, and architectural health across all PDLC/SDLC platforms
• Lead the system design and evolution of distributed cloud-native developer platforms supporting autonomous code refactoring, simulation testing environments, and feedback-driven observability
• Define company-wide standards for automated contract, regression, and safety checks to ensure AI-generated or refactored code is rigorously validated before reaching production
• Proactively identify organization-level bottlenecks and redesign systems to minimize operational costs while maximizing long-term velocity and reliability

Direction, Strategy & Impact

• Establish the direction for agentic development beyond a single organization, guiding multiple engineering areas and influencing Fetch's long-term success
• Resolve deeply complex, ambiguous, cross-organizational technical challenges that have blocked major company initiatives or that few others can solve
• Align technical strategy with company business direction, translating platform optimizations and AI capabilities into measurable numbers (e.g., cycle time reduction, defect escape drops, and review rework percentage decreases)
• Evaluate industry trends and external technologies critically, demonstrating high-signal judgment on when to leverage tools and where to block implementations to protect compliance, IP, or reliability

People, Collaboration & Culture

• Mentor and sponsor industry-level staff/principal engineers and managers across organizational boundaries, visibly growing their technical depth, systems thinking, and leadership capability
• Build and foster inclusive technical communities internally and externally, maintaining morale, psychological safety, and alignment during periods of organizational change
• Resolve complex, divergent cross-functional views (between Engineering, Product, Data Science, and Legal) with empathy, clarity, and data-driven principles

Minimum Requirements

• 15+ years of software engineering experience, including a strong track record as a Principal Engineer or equivalent company-level technical authority, leading the architecture of distributed systems and large-scale enterprise developer platforms
• Deep experience designing, scaling, and evolving development platforms powered by agentic AI tools that support product development and the full software development lifecycle across large organizations
• Deep technical mastery in Developer Experience (DevX) or Platform Engineering, with proven experience building or scaling modern CI/CD pipelines, containerized environments, event streaming, and advanced telemetry layers
• Proven experience operationalizing GenAI workflows at scale, including hands-on application of multi-modal LLM agent frameworks (e.g., LangChain, Semantic Kernel, Haystack) or Retrieval-Augmented Generation