# Principal Software Engineer - Agentic PDLC/SDLC

**Company:** [Fetch](https://hotfix.jobs/companies/fetch)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 15+ years
**Skills:** Github Copilot, Claude Code, LangChain, Semantic Kernel, Haystack, CI/CD, Containerization, Event Streaming, Telemetry, Retrieval-Augmented Generation
**Posted:** 2026-05-27

> Principal Software Engineer defining and executing Fetch's agentic AI engineering strategy. Designs scalable DevX platforms, automates SDLC workflows with multi-modal LLM frameworks, and sets standards for AI-generated code validation.

## Job Description

## 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

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**Canonical:** https://hotfix.jobs/jobs/be311aae-a965-409b-a9d5-3ffd93cba5b9