This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Test (Org Modeling) based in the United States.
This role offers the opportunity to engineer quality systems that enable development teams to ship reliable software with confidence.
You’ll work across the technology stack to design layered testing strategies spanning unit, integration, end-to-end, performance, security, and resilience testing.
Rather than focusing solely on test creation, you’ll build the frameworks, tooling, automation, and guardrails that make quality scalable.
You’ll partner closely with backend and frontend engineers, product managers, and designers to bring quality thinking into the entire development lifecycle.
The role also provides an opportunity to shape performance testing, CI/CD feedback loops, observability, and modern AI-assisted engineering practices.
You’ll operate in a fast-moving environment where reliability, developer velocity, and continuous improvement are equally important.
This is an ideal position for a technically strong engineer who enjoys solving complex quality challenges and influencing engineering practices at scale.
Accountabilities:
- Design and build end-to-end quality systems, including scalable test frameworks, tooling, automation, and processes that enable confident software delivery.
- Establish and evolve a layered quality strategy covering unit, integration, end-to-end, load and performance, security, contract, and chaos testing.
- Act as a hands-on quality partner within engineering squads by participating in planning, standups, code reviews, technical discussions, and cross-team initiatives.
- Drive performance and load testing by designing meaningful test scenarios, executing tests, building monitoring dashboards, and establishing ongoing performance measurement practices.
- Integrate automated testing into CI/CD pipelines to create rapid and reliable feedback loops from code commit through production deployment.
- Monitor test results and failures, investigate root causes, track defects, and partner with engineering teams to resolve complex quality issues.
- Promote contract and chaos testing practices to uncover integration risks, systemic weaknesses, and resilience gaps before they affect users.
- Apply AI-powered tools to improve engineering workflows, automate repetitive quality activities, and increase effectiveness across the broader team.
- Continuously evaluate and improve testing tools, methodologies, reporting practices, and quality processes as the product and engineering organization scale.
- Collaborate with engineers, product managers, and designers on test planning to improve coverage and ensure testing reflects realistic user scenarios.
Requirements:
- Strong systems-thinking approach to software quality, with experience engineering maintainable and reliable testing systems rather than creating isolated test scripts.
- Broad understanding of testing methodologies across functional, integration, contract, performance/load, chaos/resilience, and security layers.
- Strong programming ability and the confidence to read and write production-quality code across different languages and frameworks; experience with C#, Java, Python, or similar object-oriented languages is a plus.
- Demonstrated experience designing and executing performance or load tests, analyzing results, building dashboards, and monitoring performance trends.
- Practical experience using AI-assisted engineering or testing tools to improve personal productivity and automate team workflows.
- Strong troubleshooting skills, including the ability to investigate unfamiliar systems, interpret logs, use observability tools, and identify root causes of complex failures.
- Experience integrating automated tests into CI/CD environments such as GitHub Actions, TeamCity, Jenkins, or similar platforms.
- Solid SQL and data-querying skills, preferably with PostgreSQL and/or Microsoft SQL Server, for validating backend state and debugging data-related issues.
- Familiarity with API and contract testing, including testing integrations across service boundaries and with third-party APIs.
- Strong Git and version-control practices, with a commitment to clean, reusable, maintainable test code.
- Highly collaborative and responsive working style, with the ability to take ownership of quality issues and proactively support engineering teams.
- Self-motivated, detail-oriented, adaptable, and comfortable operating in a fast-paced environment with ambiguity and evolving priorities.
Benefits:
- Competitive salary: $122,200–$183,400 annually for Zone 1 locations (CA, CT, DC, MD, MA, NJ, NY, VA, and WA).
- Competitive salary: $114,200–$171,400 annually for Zone 2 locations covering other U.S. locations.
- Additional compensation: Total compensation includes an annual bonus and equity in addition to base salary.
- Flexible work: Fully remote position with flextime and support for autonomous work.
- Health and wellness: Company-paid medical, dental, and vision coverage, including 100% employer-paid options and 90% dependent coverage.
- Savings benefits: FSA and HSA options, plus a 401(k) match.
- Telehealth: Access to telehealth services and memberships including One Medical.
- Professional development: Comprehensive onboarding, leadership training, learning and development opportunities, and career-growth programs.
- Recognition: Performance and peer recognition programs, including Bonusly and peer-nominated awards.
- Family support: Parental leave, fertility assistance of up to $20,000, surrogacy and adoption reimbursement, and maternity support.
- Additional benefits: Breast milk shipping services, pet insurance, legal advisory services, financial planning tools, and other employee resources.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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