Staff Software Engineer (Test Automation)

Overview

One Identity 's OneLogin team is seeking Senior Software Engineer s who operate with high ownership, strong technical judgment, and a bias for action. These roles are designed for engineers who identify and solve problems proactively — not just execute assigned work.

Senior Engineers at OneLogin are expected to operate as T-shaped engineers: deep in a primary domain while remaining capable across the stack (backend, APIs, cloud, and operations). You will play a key role in maintaining product velocity, improving system reliability, and reducing operational burden.

This is a hands-on role that includes on-call responsibilities and requires a strong commitment to modern engineering practices, including AI-augmented development. We are looking for engineers who take full ownership — design, build, test, deploy, and operate — rather than handing work off between silos. In this role, you will focus on designing and evolving testing strategy and automation systems that maximize confidence while minimizing feedback time — eliminating manual QA dependency and improving release safety at scale.
Responsibilities

Eliminate manual QA dependency and build scalable automated testing

• Design and evolve test architecture and tooling that scales across services and teams • Design and implement end-to-end, integration, and API test automation • Own test strategy across services — determine what to test, where to test it (unit vs integration vs E2E), and how to maximize signal while minimizing runtime • Improve CI/CD confidence and release safety while increasing deployment velocity • Reduce regression risk through targeted, high-value test coverage rather than brute-force test expansion • Own test reliability — proactively detect, diagnose, and eliminate flaky or low-signal tests
Ideal Experience:

• Experience with modern test frameworks (Playwright, Cypress, or similar) • Strong understanding of testing strategy across layers (unit, integration, API, E2E) and when to apply each • Experience optimizing test suites for speed vs coverage (e.g., test selection, parallelization, flake reduction) • Experience integrating tests into CI/CD pipelines with a focus on fast feedback loops • Experience using AI tools to accelerate testing workflows, including: • Using AI to generate, prioritize, and optimize test coverage based on risk and system behavior • Analyzing test failures and flaky patterns at scale using AI-assisted tooling • Accelerating test maintenance, refactoring, and gap detection • Ability to use data (incidents, logs, usage patterns) to continuously refine and prioritize test coverage • Experience with API and contract testing
Qualifications
Software Engineering

- 4+ years of professional software engineering experience with ownership of features, quality, or system-level initiatives.

- Strong backend development experience (Ruby, Node.js, or similar).

- Solid understanding of REST APIs, service contracts, and software design principles.

- Experience working across backend services, APIs, and production systems.

Quality Engineering

- Experience designing and maintaining automated tests across unit, integration, and end-to-end levels.

- Familiarity with modern testing frameworks (e.g., Playwright, Cypress).

- Strong ownership of code quality, debugging, and testing strategy, balancing coverage, reliability, and execution time.

Cloud & Production Systems

- Experience building and operating services in AWS or similar cloud environments.

- Good understanding of cloud-native and distributed systems (microservices, scalability, resilience).

- Experience with CI/CD, production debugging, observability tools (e.g., Datadog), and incident response.

On-Call & Reliability

- Willingness to participate in a mandatory 24/7 on-call rotation.

- Experience responding to production incidents and contributing to reliability improvements and postmortems.

AI-Assisted Development

- Experience using, or strong in