Staff Software Engineer (Developer Platform & AI Tooling)

ZenBusiness is a remote company dedicated to helping entrepreneurs launch and run their businesses. The Staff Software Engineer will contribute to platform-wide initiatives focusing on CI/CD, Kubernetes, and integrating AI tooling into engineering workflows.

Responsibilities:

• Design, build, and scale AI-powered developer tooling:
• Agentic coding and review workflows that use LLMs to analyze code, generate changes, and collaborate via chat
• Policy- and guardrail-aware assistants that can comment, propose code changes, and safely automate repetitive tasks
• Prompt libraries, instructions, and service manuals that make AI adoption effective and safe across teams
• Contribute to the evolution of our CI/CD platform to be faster, more observable, and easier to adopt:
• Build analytics and data pipelines to compare platform performance, baselines, and regressions
• Contribute insights that inform team-level improvements and broader platform decisions
• Strengthen Platform Reliability And Security In Kubernetes
• Improve cluster/app resiliency, rollout strategies, and priority classes for critical services
• Standardize Helm chart patterns, deployment practices, and IaC workflows
• Contribute to incident response playbooks, maintenance modes, and recovery patterns
• Create Paved Paths And Golden Templates For Developers
• Self-service software templates, CLI/automation enhancements, and bootstrap flows
• Clear docs, runbooks, and technical blogs that drive adoption and reduce support load
• Mentor And Grow
• Pair with teammates to land complex changes, champion TDD and code review quality, and uplevel practices within the team
• Anticipate and surface blockers, delays, and tradeoffs before they require escalation – keeping stakeholders informed and expectations aligned

Requirements:

• Staff-level impact building platform capabilities with clear outcomes in developer velocity, reliability, and/or quality
• Deep experience in one or more of the following and working knowledge of the rest: CI/CD systems and reusable pipeline components (e.g., GitHub Actions or similar)
• Kubernetes, Helm, GitOps (e.g., ArgoCD), and infrastructure as code (e.g., Terraform)
• AI for engineering: prompt design, multi-agent orchestration, safety/guardrails, and integrating LLMs into code and review workflows
• Data and analytics for platform decisions (e.g., Python/Node-based ETL, SQL/warehouses, lightweight dashboards)
• Proficiency in at least two languages used for platform work (e.g., Python, TypeScript/Node.js, Bash); comfortable moving across stacks to ship end-to-end solutions
• Strong security and reliability instincts (secrets, least privilege, dependency hygiene, runtime hardening)
• Clear, concise written communication – from crisp docs and service manuals to guides that accelerate adoption across the team
• Able to communicate effectively with a diverse team and external stakeholders; actively listens and ensures shared understanding