Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. With a team of 350+ employees serving 3,000+ customers across 75+ countries, Sprinto combines scale with expertise to deliver trust and compliance. Backed by top-tier investors such as Accel, Elevation, and Blume Ventures, we’ve raised $31.8M in funding to fuel our mission. Trusted by leading organisations including Whatfix, Anaconda, Ultrahuman, WeWork, AI Foundation, and HackerRank, Sprinto supports 300+ integrations and 200+ global security standards, including SOC 2, ISO 27001, GDPR, HIPAA, and PCI-DSS.
Founded in 2020 by second-time entrepreneurs Girish Redekar and Raghuveer Kancherla, Sprinto is recognised as a Leader on G2 in Compliance Automation and has been named a LinkedIn Top Startup multiple years in a row.
Sprint With Sprinters
At Sprinto, your work has purpose — and your life has space. We are a workplace where you’re empowered to execute on your most ambitious ideas and deliver your best output in a fast-paced, innovative, and supportive environment.
Joining Sprinto means you will never run alone; you will always have the freedom to take your shot and the support to go farther than you imagined.
As an SDET3, you’ll act as a quality leader within the engineering org, driving large-scale test automation, building systems that improve reliability, and raising the overall bar of engineering practices. Beyond hands-on test design and automation, you will influence architecture decisions, champion quality metrics, and create frameworks that scale across pods and teams. A key part of this role is to build and evolve quality platforms, tools, and developer-facing capabilities that make testing faster, easier, and seamlessly integrated into the SDLC. You’ll help shift quality from a gated activity to a built-in engineering capability This role requires strong technical depth, leadership in problem-solving, and the ability to mentor and coach other engineers to embed quality as a culture.
- Own and evolve automation frameworks and test infrastructure that scale with product growth and complexity.
- Partner with engineering leadership to define quality strategy, KPIs, and guardrails across pods.
- Architect, design, and implement automation solutions for end-to-end testing across UI, APIs, services, and integrations.
- Lead root cause analysis of complex production issues and drive initiatives to prevent recurrence.
- Establish best practices in test data management, mocking/stubbing, contract testing, and observability in QA.
- Drive continuous improvement of CI/CD pipelines for faster and more reliable releases.
- Mentor, coach, and upskill SDET1/2s, setting technical direction and reviewing automation design.
- Collaborate with product managers, architects, and developers to influence design and architecture decisions for testability and resilience.
- Identify gaps in automation or coverage and lead efforts to reduce flakiness, improve coverage, and cut down customer-reported bugs.
- 6+ years of experience in software test automation and quality engineering.
- Strong coding proficiency in JavaScript/TypeScript, Python, or Java, with the ability to design frameworks from scratch.
- Deep expertise in automation tools (e.g., Playwright, Cypress, Jest, Mocha, PyTest, Selenium).
- Proven track record of building and scaling automation frameworks for large-scale distributed systems.
- Hands-on experience with microservices, APIs, GraphQL.
- Strong understanding of CI/CD pipelines, DevOps practices, and cloud-native infrastructure (AWS/GCP/Azure).
- Experience in leading quality initiatives and influencing engineering culture.
- Experience with performance and load testing at scale (e.g., Locust, JMeter, k6).
- Knowledge of security testing practices and tools.
- Familiarity with observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry).
- Experience in shaping testing strategy in startups or scaling products from early stage to enterprise-level.
- Contributions to open-source test automation frameworks.
- Technical leadership — inspiring and guiding teams towards quality-first engineering.
- A systems mindset — solving problems not just at test level but at process, architecture, and org levels.
- Collaboration and mentorship — helping peers and juniors grow while raising the collective bar.
- Proactivity in identifying risks and proposing solutions before they impact customers.
- Continuous improvement — experimenting, learning, and evolving practices to keep pace with product and tech growth.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
