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Senior Software Engineer, Automation; Tech Lead — Veza

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Centaur Labs
Full Time position
Listed on 2026-05-28
Job specializations:
  • Software Development
    DevOps, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 190900 - 334100 USD Yearly USD 190900.00 334100.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff Software Engineer, Automation (Tech Lead) — Veza

Job Description

We are looking for a passionate and experienced Automation Engineering Tech Lead to own and elevate Veza's test engineering practice. This is a high-impact role at the intersection of engineering excellence and product quality, you will set the automation strategy, build and scale the tooling and frameworks that underpin Veza's CI/CD pipeline, and embed a culture of quality across every engineering team.

This is not a QA role. This is a senior engineering leadership position for someone who thinks deeply about software quality as a systems problem, uses AI to accelerate and enhance testing, and has the technical credibility to influence how Veza's entire engineering organization builds and ships software.

You will operate with startup-level ownership and velocity, backed by the scale and resources of Service Now.

What you will do Strategy & Leadership
  • Own Veza's automation and test engineering roadmap – defining strategy, standards, and best practices across the engineering organization.
  • Evaluate and bring in best‑of‑breed tools and frameworks, staying ahead of emerging trends in test automation, AI‑assisted testing, and quality engineering.
  • Define and track quality and pipeline metrics – test coverage, flakiness rates, build reliability, and release velocity – and use data to drive continuous improvement.
  • Mentor engineers across teams, building automation literacy and promoting a strong quality culture organization‑wide.
Hands‑on Engineering
  • Design, build, and scale test automation frameworks spanning API, UI, integration, and end‑to‑end testing.
  • Leverage AI/ML tools to accelerate test generation, improve coverage, detect anomalies, and reduce manual testing overhead.
  • Own and improve Veza's CI/CD pipeline – driving automation at every stage from code commit to production release.
  • Lead root cause analysis on test failures and production issues, building automated solutions that prevent recurrence.
  • Partner with engineering teams to embed automation natively into development workflows – shifting quality left rather than bolting it on at the end.
  • Be very comfortable defining strategy as well as writing code and know when to do each.
Release & Pipeline Ownership
  • Define and continuously improve Veza's release process – reducing friction, increasing confidence, and enabling teams to ship faster with fewer manual gates.
  • Establish pipeline health metrics and SLAs, ensuring CI/CD infrastructure is reliable, observable, and scalable as the platform grows.
Qualifications What you bring to the table
  • 12+ years of software engineering experience with a strong focus on test automation, quality engineering, or developer tooling.
  • Proven track record defining and executing automation strategy across a multi‑team engineering organization.
  • Strong proficiency in Go or Python – comfortable writing production‑quality automation code, not just scripts.
  • Deep experience building and scaling test automation frameworks across API, UI, and integration layers.
  • Hands‑on experience with CI/CD systems – Jenkins, Git Hub Actions, Circle

    CI, or equivalent.
  • Experience with AWS and cloud‑native infrastructure.
  • Solid understanding of distributed systems and microservices – able to reason about failure modes and test strategies at system scale.
  • Experience using AI/ML tools to enhance test automation – including test generation, anomaly detection, or intelligent test selection.
Leadership
  • Demonstrated ability to drive technical strategy and influence engineering culture without direct management authority.
  • Strong communication skills – able to translate quality metrics into narratives that resonate with engineering leadership.
  • Experience mentoring engineers and building automation capability across teams.
Nice to have
  • Experience with large‑scale SaaS platforms and the unique quality challenges they present.
  • Familiarity with Kubernetes and cloud‑native environments.
  • Experience with performance, load, or security testing automation.
  • Exposure to identity, access management, or security systems.
  • Experience evaluating or rolling out AI‑powered testing tools.

For positions in this location, we offer a base pay of $190,900 - $334,100
, plus equity (when…

Position Requirements
10+ Years work experience
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