Software Development Engineer in Test[SDET]

FinOpsly i s an AI-native Value-Control™ platform for cloud (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 technology spend across cloud infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks), and AI workloads into a single system of action—combining planning, optimization, automation, and financial operations. Role Summary FinOpsly is seeking a 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. What You’ll Do Design and implement scalable, maintainable automation frameworks for API, UI, and data testing.

Execute rigorous manual exploratory testing on new features before automation to ensure business, logic is sound, and user flows are intuitive. Build and maintain scalable test frameworks for REST APIs (Nest.js/PHP) and modern web frontends (Next.js/React) using Playwright or Cypress. Numerical Validation: Perform manual and automated validation of SQL queries in Snowflake, specifically scrutinizing cost metrics and anomaly detection for ‘ commonsense‘ errors.

Embed automated quality gates into GitHub Actions CI/CD pipelines to catch regressions at the PR level. Manually and automatically validate complex user journeys ensuring multi-tenant data isolation and dashboard accuracy. Lead root-cause analysis for escaped defects and collaborate with engineering triage and resolution.

What You’ll Bring 4–6 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). Proficiency in 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 experience validating complex 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 to operate effectively 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 to performance, 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 cloud financial management and ROI across AWS, Azure, GCP, and Snowflake.

AI/ML Quality Engineering: Learn to test and validate intelligent 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.