Software Engineer (Principal), Eng-wide Architecture

What You'll Do9

• Map out the entire technology ecosystem and guide long-term architectural direction and critical technical decisions.
• Design and implement AI-driven engineering workflows, autonomous coding agents, and intelligent automation across the software development lifecycle.
• Aim to make 30% of pull requests eligible for automated approval within the first 3 months through reliable AI-powered reviews, automated validation, and clear quality gates.
• Take ownership of the organization's highest-priority technical problems, including architectural bottlenecks, reliability issues, platform scalability, and urgent cross-team initiatives.
• Define and champion engineering standards for system design, code quality, testing, observability, reliability, security, and maintainability.
• Improve CI/CD pipelines, developer tooling, automated testing, and internal workflows to increase velocity and reduce manual overhead.
• Identify architectural inconsistencies, reduce technical debt, and introduce reusable patterns and shared infrastructure across teams.
• Write production-grade code, build prototypes, review complex implementations, and debug critical issues.
• Mentor senior and staff engineers, influence technical strategy, and raise the engineering bar without relying on formal management authority.

Requirements9

• 12+ years of software engineering experience, with a proven track record at Staff, Principal, or equivalent technical leadership levels.
• Exceptional hands-on engineering expertise in Python, TypeScript, or similar languages, with extensive experience building and operating complex production systems.
• Deep systems architecture experience across distributed systems, microservices, APIs, cloud infrastructure, databases, and large-scale platform engineering.
• Practical experience with agentic engineering, including AI coding agents, LLM integrations, tool calling, orchestration, automated code review, and autonomous development workflows.
• Strong understanding of software quality and delivery, including automated testing, CI/CD, code review systems, observability, security, and production reliability.
• Proven ability to drive technical strategy across multiple teams, establish engineering standards, and influence architectural decisions at an organizational level.
• Experience improving developer productivity through engineering automation, internal tooling, infrastructure improvements, and measurable process optimization.
• Exceptional problem-solving and execution skills, with the ability to rapidly understand unfamiliar systems, navigate ambiguity, and resolve high-impact technical challenges.
• Strong technical communication and mentorship skills, with the ability to align engineering teams, challenge assumptions, and drive adoption of better engineering practices.

Preferred Qualifications6

• Experience in AI research labs, AI-native companies, or high-growth technology startups.
• Hands-on experience with AI coding agents and autonomous development systems, including tools such as Claude Code, Codex, Cursor, or similar technologies.
• Experience designing agentic software development pipelines, including automated PR generation, code review, testing, validation, and deployment workflows.
• Familiarity with agent orchestration frameworks, MCP, tool-use architectures, context engineering, and evaluation frameworks.
• Experience leading organization-wide architectural transformations, platform modernization, or developer productivity initiatives.
• Background in AI/ML infrastructure, data-intensive systems, or human data platforms supporting model training and evaluation.

Who Should Apply

This role suits a principal-level engineer with 12+ years of experience who still writes code and has deep systems architecture knowledge across distributed systems and cloud infrastructure. You should have practical experience with agentic engineering and AI coding agents, plus a record of influencing technical strategy across multiple teams. The position is remote and full-time.

Salary Insight