Lead Platform Engineer, Agentic Operations

Nucleus Security • Remote, FL

18h

About The Position

Nucleus is seeking a Lead Platform Engineer, Agentic Operations, to build AI-powered tools that accelerate software delivery and improve the daily developer experience. This role will create automated PR reviewers, code-quality gates, test-generation capabilities, and codebase-aware agents, integrating them directly into Slack, Git, CI/CD, IDEs, and internal engineering workflows. This lead-level engineer will help set the technical direction for AI-enabled developer tooling while ensuring solutions are reliable, secure, measurable, and widely adopted. If you combine strong software engineering and system-design experience with hands-on AI expertise and a passion for reducing developer toil, we’d love to welcome you aboard.

Requirements

• Lead-level software engineering and system design with 8+ years of professional experience building production services, internal platforms, or developer tooling, with strong ownership of architecture, reliability, and technical direction.
• Advanced proficiency in Python and working proficiency in at least one additional language such as TypeScript/JavaScript or Go.
• Experience building CI/CD integrations, PR bots and status checks, CLIs, code-analysis pipelines, IDE integrations, or internal developer platforms - not only using AI tools as an end user.
• Advanced proficiency with the use of containers – Docker and Kubernetes experience.
• LLM and agent engineering with hands-on experience with prompt and context engineering, structured outputs, tool calling, RAG over codebases, agent workflows, evaluation harnesses, and productionizing AI features.
• Strong knowledge of GitHub or GitLab APIs, webhooks, branch protection, required checks, custom review comments, risk scoring, and merge policies.
• Experience combining linting, static analysis, automated testing, changed-code coverage, security scanning, and merge blocking into reliable delivery workflows.
• Experience in unit, integration, and end-to-end testing; AI-assisted test generation; test-data creation; coverage strategy; flaky-test management; and dependable CI integration.
• Code quality and application security tooling: Practical experience with tools such as SonarQube, Semgrep, CodeQL, ESLint, Ruff, SAST, dependency scanning, secret detection, supply-chain controls, and policy-as-code.
• AI evaluation, guardrails, and observability: Ability to build regression suites, model-output quality measures, human-review paths, logging, metrics, tracing, and failure-analysis workflows for AI-powered systems.
• Impact measurement and technical tool evaluation: Ability to instrument cycle time, review load, defect rates, AI adoption, and developer satisfaction; assess commercial tools; make build-versus-buy decisions; and turn results into priorities and ROI.
• Systems and product thinking for internal customers — treats other engineers as the product’s users; drives adoption, gathers feedback, iterates, and balances speed vs. Safety/governance.
• 8 Year in technical with a major programming language with a preference to python
• Must be using AI in their current role or pet project

Nice To Haves

• Direct experience with AI code review or agentic coding tools in production (CodeRabbit, Cursor Bugbot, GitHub Copilot code review, Qodo/PR-Agent, Anthropic Code Review, or similar).
• Practical use of agent frameworks or orchestration tools (LangChain, LangGraph, LlamaIndex, or custom agent loops).
• Experience with risk-based or policy-driven automation (auto-approving low-risk PRs, severity scoring, or policy-as-code).
• Familiarity with observability for developer tools and AI systems (logging, metrics, tracing of AI review outcomes, evaluation dashboards).
• Prior work measuring developer productivity or DevEx impact (cycle time, review load, AI adoption metrics, or DORA-related instrumentation).
• Experience operating in regulated or high-compliance environments (security review processes, auditability of AI decisions, or governance of AI-generated code).
• Knowledge of large monorepos or multi-language codebases and the unique challenges they create for AI tooling.

Responsibilities

• Build and launch AI-powered developer tools that engineers use every day, including automated PR review, code-quality gates, test generation, and codebase-aware agents.
• Integrate these tools into Slack, Git, CI/CD, IDE, and internal platform workflows so code moves from development to production faster without lowering quality or security.
• Measure adoption, cycle time, review load, and defects; establish benchmarks and AI evaluation frameworks to assess quality and impact, using data and developer feedback to reduce toil and continuously improve the developer experience.

Benefits

• 100% company-paid health, dental, vision, life, and short-term disability insurance options
• Generous 401k contribution (not a match)
• Flexible PTO + 10 company holidays
• Paid parental leave
• Fantastic company culture
• Work on a truly unique, market- defining product

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed