Principal Software Engineer, Platform (DevEx)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer, Platform (DevEx) based in United States.

This is a high-impact Principal Engineer opportunity within a lean, highly autonomous Developer Experience team.
You’ll shape AI-native platform infrastructure designed to help engineering teams build and operate at unprecedented speed.
The role spans agent orchestration, coding-agent runtimes, developer environments, build systems, CI/CD, and platform guardrails.
Your architectural decisions will establish patterns that other engineering teams can adopt across the organization.
You’ll operate with a long-term technical horizon, anticipating platform needs and solving complex problems before they become organizational blockers.
The environment values deep technical expertise, independent decision-making, experimentation, and a strong bias toward practical delivery.
You’ll also mentor senior engineers and help define the future of AI-assisted software development at enterprise scale.

Accountabilities

• Define technical strategy and architecture for AI-native developer tooling, including agent orchestration layers, coding-agent harnesses, LLM reasoning loops, and agent runtimes.
• Design and deliver scalable Developer Experience platform capabilities spanning development environments, build systems, CI/CD, developer portals, velocity tooling, guardrails, and compliance.
• Lead complex projects autonomously from comprehensive system design through implementation and production delivery, partnering with engineering teams across the organization.
• Act as a technical authority on coding-agent infrastructure and agent-runtime architecture, providing guidance and removing engineering barriers that affect multiple teams.
• Anticipate technology and platform needs over a 1–3 year horizon and translate those needs into actionable technical roadmaps and milestones.
• Establish engineering patterns, reference implementations, orchestration approaches, and safety standards that other teams can confidently adopt.
• Design and implement security and compliance mechanisms for autonomous and semi-autonomous coding agents, including RBAC, secrets management, and safety controls.
• Identify opportunities where Developer Experience expertise can improve engineering productivity across the broader R&D organization.
• Mentor Staff-level and emerging senior engineers, raising technical standards through design reviews, hands-on guidance, and technical leadership.
• Contribute to the wider engineering community through thought leadership, technical writing, conference participation, or other channels where appropriate.

Requirements

• 15–20+ years of software engineering experience, including recent hands-on experience building coding-agent runtime infrastructure such as agent orchestration, harnesses, or LLM reasoning loops.
• Demonstrated Principal-level technical scope, with a history of making architectural decisions and building platforms or systems adopted by multiple teams or organizations.
• Deep production experience with build systems, CI/CD, internal developer platforms, or related infrastructure operating at significant scale.
• Recent practical experience with coding agents as part of engineering workflows; experience limited to process automation or AI-assisted code review does not meet the core requirement.
• Strong systems-design expertise and the ability to understand complex technical ecosystems, anticipate future challenges, and establish solutions with a multi-year horizon.
• Proven ability to operate independently in a small, high-trust environment, defining technical direction and execution plans with minimal oversight.
• Strong understanding of security and environment-safety principles, particularly RBAC, secrets management, compliance controls, and guardrails for autonomous or semi-autonomous agents.
• Ability to influence technical direction beyond your immediate team and build alignment across engineering organizations.
• Strong communication, technical leadership, mentoring, and problem-solving skills.
• Preferred: Experience working in organizations where coding agents are already central to daily engineering workflows rather than limited to experimentation or pilots.
• Preferred: Experience influencing engineering practices at organizational scale or representing technical direction through conference talks, technical writing, blogs, or similar channels.

Benefits

• Competitive compensation: Base salary range of $263,800–$395,600 for Zone 1 locations (CA, CT, DC, MD, MA, NJ, NY, VA, WA) and $246,500–$369,700 for other U.S. locations.
• Additional compensation: Annual bonus, equity, and a comprehensive total rewards package.
• Remote flexibility: U.S.-remote work environment with support for autonomous working styles and flexible time off.
• Health coverage: Company-paid medical, dental, and vision benefits, including options with 100% employer-paid employee coverage and 90% dependent coverage.
• Financial benefits: 401(k) matching, FSA and HSA options, financial planning resources, and other financial wellness support.
• Wellness support: Telehealth services, including access to One Medical memberships.
• Family benefits: Parental leave, maternity support, fertility services of up to $20,000, and surrogacy and adoption reimbursement.
• Additional lifestyle benefits: Pet insurance, legal advisory services, breast milk shipping support, and other programs designed to support employees through different stages of life.
• Career development: Comprehensive onboarding, leadership development, learning opportunities, and programs designed to support continued professional growth.
• Recognition: Peer recognition and rewards programs, including Bonusly and peer-nominated awards.
• Inclusive culture: A workplace that values diverse perspectives, individuality, collaboration, and equitable opportunities.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.