Staff Software Engineer - DevX

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com.
As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI):

Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection that will allow employees of all backgrounds to thrive.

About The Team

DevX owns engineering velocity at Amplitude: build systems, CI/CD, developer environments, and internal tooling. We're building a software factory: automated workflows that remove manual bottlenecks from how engineers ship code.
The Role
We're looking for a Staff Software Engineer – DevX (Hybrid – Vancouver, Canada) who bridges infrastructure and application thinking and can accelerate how the whole team develops, tests, and ships in the cloud. You'll set architecture for our developer platform, lead our software factory work, and push our development model toward cloud‑first workflows.
This is a high‑leverage, low‑oversight role. You'll own initiatives end to end, from an ambiguous problem to production, and set technical direction for a foundational team.

What You’ll Do

• Cloud development platform: Unify and scale our existing local, remote, and ephemer development environments across a polyglot codebase. Make it fast and reliable for engineers and AI agents to provision environments, build, test, debug, and validate changes, with reproducible test data and clear access controls.
• Software factory: Find the biggest bottleneck in the engineering workflow, automate it, then move to the next one. This increasingly means building the sandboxes and tooling that let AI agents do the work directly, not just assist with it.
• Developer experience & tooling: Own build systems, CI/CD, developer environments, and internal tooling. Drive down build/CI time

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