Sr. Engineer, Core

THE ROLE

As a Senior Engineer, you’ll help build the next phase of scale for a platform that 78,000+ teams trust with their most sensitive data, using industry-leading techniques, and you’ll blaze the path for reliable agentic patterns at Doppler. We’re looking for an engineering-first mind: someone with strong technical fundamentals and principles who is also deeply engaged with AI and understands the shape of the emerging industry. You know that AI amplifies good engineering judgment rather than replacing it. You care about building systems that are correct, fast, and secure by default, and you’re just as comfortable in the infrastructure those systems run on as in the code itself.

ABOUT THE TEAM

Doppler Engineering spans product, data, growth, infrastructure, and security. We’re a security-first team that genuinely cares about the quality of what we build. We collaborate with as little ego as humanly possible and are constantly trying to improve how we work and deliver software.

WHAT YOU’LL DO:

- Design, build, own, operate, and support the services, APIs, and data systems at the center of Doppler’s product.

- Build the next phase of scale at Doppler, including reliability, performance, and the infrastructure underneath, using industry-leading techniques.

- Blaze the path for reliable agentic patterns at Doppler: shared context, guardrails, and review practices that make agents genuinely useful while keeping human judgment in the loop.

- Lead by example in how you work with AI, and help the engineers around you move faster without sacrificing security or quality.

- Own the design of the systems you build, and influence the standards the rest of the team builds against.

- Collaborate with engineers throughout the team to turn ambiguous product problems into systems we can operate confidently for years.

- Approach everything you do from a security-first perspective.

- Raise the bar around you through code review, design review, and mentorship.

WHAT YOU’LL BRING TO THE TABLE:

- 5+ years of experience building and operating production software systems.

- Strong technical fundamentals, with strong opinions (loosely held) about service and API design.

- Strong data experience: schema design, query performance, and migrations against live traffic.

- Experience with distributed systems: the failure modes, the tradeoffs, and the discipline of designing for both.

- You’ve run production systems at scale and made big changes to them without taking them down. You own your services end to end: shipping, reading the dashboards, and debugging in production.

- Deep, daily fluency with AI and agentic tooling. You know where it shines, where it fails, and how to move faster without sacrificing security or quality, and you want to teach others the same.

- Genuine engagement with where the AI industry is heading, and the ability to separate what’s real from what’s hype.

- Sound human judgment: you own every line you ship, can explain and defend it without the tool, and know when not to reach for an agent.

- A pragmatic sense of when a problem deserves a robust solution and when it deserves a simple one, guided by the value to the business.

- Comfortable jumping into situations that don’t perfectly match the job description and being helpful anyway.

- Has no problem saying “I don’t know”, but does have a problem with stopping there.

PREFERRED EXPERIENCE:

- Knowledge and passion for security-first engineering.

- Experience with typed languages, especially Go and/or TypeScript.

- Experience with Kubernetes, infrastructure-as-code (Terraform [preferred], Ansible, Pulumi, etc), and a major cloud provider (GCP [preferred], AWS, or Azure; we’re on GCP).

- Experience building multi-tenant systems with isolation guarantees.

- Experience designing or maintaining a public API that other engineers depend on in a scaled production environment.

- Experience releasing and supporting multiple versions in tandem.

- Passion for mentoring others and shaping engineering culture.