Principal Automation Engineer driving QE modernization for data and API initiatives. Design, build, and maintain automation frameworks for APIs, data pipelines, and reporting; implement data validation strategies; perform performance testing; integrate tests into CI/CD; coach squads on QE best practices; produce quality metrics and dashboards.
Our team is looking for a Principal Automation Engineer to accelerate quality engineering practices across data and API-centric initiatives. This role embeds with a delivery team to drive process enablement, automation maturity, and modernization of data and reporting platforms. The engineer will design, build, and maintain robust automation frameworks that validate APIs, data pipelines, and reporting outputs — while coaching teams on modern QE practices and leveraging AI-assisted development tools to accelerate delivery.
The Expertise and Skills You Bring
- 10+ years of professional experience in software quality engineering, test automation, or SDET roles.
- Significant hands-on experience in API Test Automation: Design, develop, and maintain API automation suites using Cucumber, Serenity BDD, and/or Karate frameworks.
- Experience building and executing automated data validation strategies across pipelines, warehouses, and reporting layers (source-to-target, schema, integrity, reconciliation, lineage).
- Experience validating reporting and BI tools by comparing report outputs against source databases using complex and optimized queries.
- Demonstrated experience with performance testing using Rush Hour or comparable tools (e.g., JMeter, Gatling, k6) with willingness/ability to use Rush Hour.
- Understanding of architecting reusable, scalable test automation frameworks with a strong proficiency in Java, with supporting tooling/scripts in Python as needed.
- Expertise in authoring advanced SQL queries to validate data correctness across heterogeneous data stores.
- Awareness of integrating automated test suites into CI/CD pipelines; ensuring fast feedback loops and reliable, deterministic test execution.
- Experience with version control (Git) and modern collaborative development workflows.
- Hands-on experience with AI code-assist tools (e.g., GitHub Copilot, Copilot Chat, or similar) integrated into a daily development workflow.
- Experience with contract testing (e.g., Pact) and/or API specification tooling (OpenAPI/Swagger).
- Experience testing modern data platforms (e.g., Snowflake, Databricks, BigQuery) and/or reporting platforms (e.g., Tableau, Power BI, MicroStrategy).
- Experience with containerization (Docker) and cloud platforms (AWS, Azure, or GCP).
- Familiarity with observability tooling for test diagnostics (logs, traces, metrics)
The Value You Deliver
- Advanced SQL skills for data validation and analysis across relational data sources.
- Proven experience designing and executing data validation strategies (ETL/ELT testing, source-to-target, reconciliation, schema validation).
- Awareness of REST API design, contracts, and testing patterns (including authentication, schema/contract validation, negative testing).
- Partnership with squads to mature their QE practices — shift-left testing, contract testing, test data management, and quality gating.
- Contribution to the modernization of data and reporting platforms by establishing automated quality checks that de-risk migration and refactoring efforts.
- Excellent communication skills with the ability to enable and coach delivery squads.
- Background in financial services or other regulated/data-intensive domains nice to have.
- Leading or coaching agile QE and audit practices within squads.
- Work cross-functionally with developers, data engineers, product owners, and other QE practitioners; mentor team members on automation best practices.
- Produce clear, actionable quality metrics and dashboards that inform delivery decisions.
Compensation, Benefits and Duration
Minimum Compensation: USD 37,000
Maximum Compensation: USD 131,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead full-cycle recruiting for Finance and core business roles, partner with hiring leaders and cross-functional teams, maintain TA systems, and build/test agentic AI bots and Skills using Claude Code/OpenAI Codex to automate recruiting workflows and improve process quality, governance, and candidate experience.
Top Skills:
Claude CodeGemGoogle WorkspaceLinkedin RecruitermacOSModernloopOpenai CodexSlackWorkday
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead SnackFutures Ventures investments in early and growth-stage companies, manage deal sourcing, screening, negotiation, and portfolio oversight, coordinate cross-functional teams, contribute to investment strategy, and support exits or handovers to Corporate Development.
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Provide white-glove technical support and onboarding for high-value resellers: troubleshoot integrations, manage escalations, run onboarding and training, track and drive issue resolution with engineering, and collaborate cross-functionally to improve processes and product experience for enterprise sellers.
Top Skills:
APIsGoogle MeetsJIRASdksThird-Party Integrations
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
