Software Development Engineer in Test[SDET]

FinOpslyis an AI-native Value-Controlplatformforcloud (AWS, AZ, GCP), data (Snowflake, Databricks), and AI economics, built to help enterprises move beyond passive cost visibility to active, outcome-driven control. The platform unifies technologyspendacross cloud infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks), and AI workloads into a single system of actioncombining planning, optimization, automation, and financial operations.

Role Summary

FinOpslyisseekinga technically proficient SDET to design and execute both automated and

manual quality solutions across our AI-native platform. This role requires a unique balance

of software automation, rigorous data validation, and exploratory manual testing. You will

ensure the reliability of our modern Nest.js/Next.js stack and Snowflake data models while performing critical manual audits on financial accuracy and user workflows.

WhatYoullDo

• Design and implement scalable, maintainable automation frameworks for API, UI, and data testing.
• Execute rigorous manual exploratory testing on new features before automation to ensurebusiness,logic issound,and user flows are intuitive.
• Build andmaintainscalable test frameworks for RESTAPIs (Nest.js/PHP) and modern web frontends (Next.js/React) using Playwright or Cypress.
• Numerical Validation: Perform manual and automated validation of SQL queriesin Snowflake, specifically scrutinizing costmetricsand anomaly detection for'commonsense'errors.
• Embed automated quality gates into GitHub Actions CI/CDpipelines to catch regressions at the PR level.
• Manually and automaticallyvalidatecomplex user journeysensuring multi-tenant data isolation and dashboard accuracy.
• Lead root-cause analysis for escaped defects and collaborate withengineeringtriage and resolution.

WhatYoullBring

• 46 years of experience in software testing with a strong background in both manual and automated methodologies.
• Deep understanding of the SDLC and mastery of various testing types (functional, regression, sanity, and exploratory).
• Proficiencyin TypeScript/JavaScript; experience with or willingness to learn PHP for legacy systems.
• Hands-on experience with Playwright, Cypress, or similar modern frameworks.
• Data & SQL Mastery: Strong SQL skills with experiencevalidatingcomplex data aggregations and financial metrics in Snowflake.
• An exceptional eye for catching numerical errors and edge cases within complex financial data outputs.
• High ownership and the ability tooperateeffectively in fast-moving, ambiguous environments.

Nice to Have

• Experience testing anomaly detection, forecasting models, or large-scale data-driven systems.
• Familiarity with cloud cost management, billing cycles, or cloud-native infrastructure.
• Exposure toperformance, load, and resilience testing for high-traffic SaaS platforms.
• Basic understanding of security scanning and vulnerability testing for web applications.

What You Will Gain

• FinOps Domain Expertise: Master the intricacies of cloudfinancial managementand ROI across AWS, Azure, GCP, and Snowflake.
• AI/ML Quality Engineering: Learn to test andvalidateintelligent multi-agent systems and predictive forecasting models.
• Full-Stack Visibility: Work across a diverse tech stack while helping define quality standards for a high-growth SaaS platform.
• Work alongside a supportive, diverse group tackling fresh challenges and pushing boundaries in AI-native FinOps
• As an early-stage team member, you will have a direct path to leadership roles as the engineering organization scales, with the chance to define our global quality engineering standards.