Job description

Instrumental builds the manufacturing acceleration platform behind the world's most complex electronics. We capture digital exhaust and engineering context from assembly lines — images, test logs, BOM data, performance, repair cycles — and our AI engines identify insights that are difficult or impossible for human engineers to find. We accelerate the companies building the AI era by improving manufacturing yield, throughput, and ramp. NVIDIA, Meta, L3Harris, and their manufacturing partners rely on Instrumental to accelerate new product introduction and production. We're entering one of the most important periods in our company's history. Over the next year, we'll be rebuilding our platform layer for a scale it wasn't originally built for — and the engineer who joins now will shape that architecture as much as anyone. We're looking for a Backend/Platform engineer who owns hard, ambiguous systems problems end-to-end, and who does it in a way that makes the rest of engineering want to build on what you ship. This isn't a role where you inherit an architecture and maintain it. You'll partner directly with engineering leadership and teams across product, AI, and edge systems — not just to keep the platform running, but to raise the bar on how we build. What You'll Be Doing: • Own the systems that matter most. Take full lifecycle ownership of core platform services — design, build, deploy, operate — especially the ones where the obvious architecture doesn't hold up, and you have to design a better one. • Make the rest of engineering better at shipping. You'll push back when a design won't scale, an approach trades short-term speed for long-term pain, or a "good enough" isn't. You earn the standing to do this by being right, consistently, and by being someone teams want in the room. • Move fast without creating friction. You'll make architectural calls, iterate in real time, and adjust course mid-build — all while keeping other teams, and the systems they depend on, aligned and stable. No surprises, no silent breakage. • Build the platform as you go. Better tooling, smarter use of AI-assisted development, sharper observability and incident response — you'll leave the platform meaningfully stronger than you found it, and you'll do it in a way that earns trust rather than working around people. This role probably isn't the right fit if... • You want a well-defined system to maintain, rather than one to build and rebuild as the business scales. • When something breaks or doesn't scale, you wait for direction instead of diagnosing and fixing it yourself. • You've mostly worked in codebases where the hard architectural decisions were already made — this job is proactive, not maintenance. • You measure success by "it shipped" rather than "it shipped, it holds up, and the team trusts how we got there." • You've built a reputation for moving fast at the cost of the people around you — trust and speed both matter here, not one traded for the other. Requirements: • 5+ years as a software engineer, with real ownership of production systems at a startup — you've designed and shipped systems end to end, not just contributed to systems someone else architected. • Fluency in Python or Go, with strong data modeling and system design instincts. • Experience building SaaS or multi-tenant systems, and the product judgment that comes with it. • A track record of solving hard, ambiguous engineering problems — untangling messy domains, making design decisions with incomplete information, and owning the outcome — not just building well-scoped features. • Fluent in AI-assisted development as a default way of working, and able to bring others along on it. • Evidence that other engineers and leaders trusted your judgment and wanted you on their hardest problems — examples that speak to this are a plus. We’re a growing team that works collaboratively, supports each other, and is energized by having an impact. We value passion and the ability to learn — you’re encouraged to apply even if your experience doesn’t match the job description precisely! The following is a representative annual base salary range for this position within the Bay Area: $170,000-$221,000. In addition, job level and salary opportunities are evaluated during our interview process — we review each applicant's experience, knowledge, skills, and abilities. Instrumental is proud to offer a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave. At Instrumental, protecting company and customer information is a shared responsibility. Employees are expected to comply with company engineering, security, access control, and privacy policies, and promptly report suspected security incidents or policy violations.

Requirements

Must-haves

This role probably isn't the right fit if...
You want a well-defined system to maintain, rather than one to build and rebuild as the business scales.
When something breaks or doesn't scale, you wait for direction instead of diagnosing and fixing it yourself.
You've mostly worked in codebases where the hard architectural decisions were already made — this job is proactive, not maintenance.
You measure success by "it shipped" rather than "it shipped, it holds up, and the team trusts how we got there."
You've built a reputation for moving fast at the cost of the people around you — trust and speed both matter here, not one traded for the other.
5+ years as a software engineer, with real ownership of production systems at a startup — you've designed and shipped systems end to end, not just contributed to systems someone else architected.
Fluency in Python or Go, with strong data modeling and system design instincts.
Experience building SaaS or multi-tenant systems, and the product judgment that comes with it.
A track record of solving hard, ambiguous engineering problems — untangling messy domains, making design decisions with incomplete information, and owning the outcome — not just building well-scoped features.
Fluent in AI-assisted development as a default way of working, and able to bring others along on it.

Nice-to-haves

Evidence that other engineers and leaders trusted your judgment and wanted you on their hardest problems — examples that speak to this are a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestgopython

Platform: gem
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave