We're hiring a Senior QA Engineer to own testing across our Software Development Life Cycle (SDLC). This is a strategy-and-automation role, not a click-testing one: you'll own the test strategy, write the test cases, and automate them on top of established open-source testing tools — working shoulder-to-shoulder with developers to bake quality in from the start rather than catch it at the end.
This role partners closely with product and platform engineering.
What You'll Do
Own the test strategy end-to-end across the SDLC.
Build and own test coverage on top of established open-source testing tools — defining the strategy, writing the test cases, and automating them — and integrate it into our Continuous Integration / Continuous Delivery (CI/CD) pipelines so tests run on every meaningful change.
Write clear, maintainable test cases and test plans, and keep them current as the product evolves.
Plan and run the full range of testing — including but not limited to integration testing, system testing, regression testing, and stress / load / performance testing.
Partner with developers to define acceptance criteria, shift testing left, and make quality a shared responsibility rather than a gate at the end.
Triage failures, drive root-cause analysis on escaped defects, and close the loop with durable fixes.
Report quality signals (coverage, flake rate, escaped defects) in a way the team can act on.
What You'll Need (Required)
Strong test automation skills, with a track record of designing test strategy and automating it on top of established open-source testing tools.
Deep, practical understanding of the SDLC and where testing fits at each stage.
Proven experience writing test cases and test plans.
Hands-on experience across multiple testing types: integration, system, regression, and stress / performance.
Experience integrating automated tests into CI/CD pipelines.
Strong communication skills — you work directly with developers and can make a clear, persuasive case for quality.
Sufficient experience with Python, JS/TS
Nice to Have
Strong experience with Python, JS/TS
Familiarity with open-source testing tools (for example, Playwright or Cypress for end-to-end, pytest for unit and integration, k6 or Locust for load and stress testing).
Exposure to testing cloud or containerized (Kubernetes) workloads.
Experience supporting a System and Organization Controls 2 (SOC 2) or similar compliance program by producing test evidence.
Background in enterprise or regulated environments where reliability is non-negotiable.
Experience in early-stage environments where one person owns a broad testing surface.
What Success Looks Like (First 90 Days)
You've assessed current test coverage and identified the highest-leverage gaps.
Automated test coverage is running in the pipeline on every meaningful change.
The team has a clear, lightweight process for triaging failures and preventing repeat defects.
Location and Work Model
Remote in South America/Mexico/India/LATAM
Ovii Interpretation
The Senior QA Engineer establishes and automates testing across the software development lifecycle, integrating coverage into CI/CD and partnering with developers and product and platform engineering. The work emphasizes test strategy, multiple testing types, defect analysis, and actionable quality reporting rather than manual click testing.
Test automationTest strategyTest casestest plansSDLCIntegration testingSystem testingRegression testingStressperformance testing
What you will likely work on
Set testing strategy and maintain automated coverage across the software development lifecycle.
Build test cases and plans and keep them aligned with product changes.
Run integration, system, regression, stress, load, and performance testing.
Integrate automated tests into CI/CD pipelines so changes receive timely coverage.
Work with developers to shape acceptance criteria and include quality checks early.
Investigate test failures and escaped defects, identify causes, and help establish durable fixes.
Report coverage, flaky tests, and escaped defects in actionable terms.
Good fit signals
You have strong test automation skills and have designed strategy using established open-source tools.
You understand how testing fits throughout the SDLC and have written test plans and cases.
You have hands-on experience with several testing types and automated tests in CI/CD.
You communicate clearly with developers and can advocate for quality in collaborative product work.
Stronger Python or JavaScript/TypeScript experience, familiarity with named testing tools, or exposure to cloud and Kubernetes workloads can be helpful.
Meet Tessera labs
Tessera Labs is a San Jose-based enterprise AI company building a multi-agent platform for modernizing ERP and other mission-critical business systems. Its software maps enterprise data, code, processes and dependencies into a contextual model that AI agents use to automate data migration, code remediation, system configuration, testing and transformation workflows. Tessera supports environments including SAP, Oracle, Salesforce, Workday, Microsoft Dynamics, Snowflake and Databricks and can run in SaaS, private-cloud or on-premises deployments. The company works with large enterprises across life sciences, semiconductors, financial services, retail, utilities and industrial sectors, addressing the cost, complexity and long timelines associated with traditional systems-integration projects.
Founded
2024
Company size
51-200 employees
Company stage
Series A
Headquarters
San Jose, USA
Why work here
Tessera offers candidates the opportunity to build production multi-agent AI for large, complex enterprise environments rather than isolated AI demos. The company raised a $60 million Series A led by Andreessen Horowitz in 2026 and is actively expanding across engineering, AI, data and enterprise-transformation roles. Current openings show work on Kubernetes-based agent infrastructure, vLLM inference, multi-cloud deployment, React and TypeScript products, Python and Go services, ERP data platforms and AI evaluation systems. Tessera also publishes technical research on enterprise ontology and continual model memory. Roles advertise substantial ownership, competitive compensation and equity, but the environment is an early-stage, high-expectation startup.
Co-founder and CEO of Tessera Labs. Nagrecha studied computer science at UC San Diego and completed his PhD in AI systems at age 20. His research focused on large-scale deep-learning systems, and he was a Meta PhD Fellow and researcher before founding Tessera. He leads the company's strategy for applying multi-agent AI to enterprise transformation.
Co-founder and COO of Tessera Labs. Chang has nearly two decades of experience in enterprise cloud security, privacy and compliance, including more than a decade at SAP and a senior security role at Tencent Americas. He holds bachelor's and master's degrees in Computer Science from UNLV and completed an executive program at Stanford Graduate School of Business.
ASAnirudh SriramChief Technology OfficerView bioHide bio
Sriram leads Tessera's technology organization. An IIT Madras and Stanford alumnus, he previously worked on AI at Google Research and Microsoft and founded Y Combinator-backed MagiCode. His work spans machine learning, NLP, agentic systems and production AI infrastructure.
RSRamesh SunderChief Product OfficerView bioHide bio
Sunder leads product strategy at Tessera and has more than 25 years of enterprise-software experience. His prior leadership roles span SAP, Oracle, Rootstock ERP and other enterprise technology companies, with expertise in cloud ERP, spend management, analytics and AI-driven products.
PGPrakash GuptaChief Revenue OfficerView bioHide bio
Gupta leads Tessera's go-to-market and revenue organization. He previously served as founding Chief Revenue Officer at Turing and has extensive experience scaling enterprise technology sales, partnerships and commercial organizations.
Cartridges - Continual Learning for the Enterprise
Tessera Labs·
Tessera detailed its research into modular model memory for enterprise AI, describing a cartridge-based approach that lets models retain organizational knowledge without repeatedly loading entire enterprise data sources into context.
Tessera described its enterprise ontology and TILES evaluation framework for reconstructing business logic, system relationships and data provenance so AI agents can reason over complex enterprise environments.
Tessera Labs Raises $60M in Funding Led by Andreessen Horowitz to Transform ERP Modernization
Tessera Labs·
Tessera announced $60 million in funding led by Andreessen Horowitz, with participation from Foundation Capital, Myriad Venture Partners and Osage University Partners, to expand its platform, go-to-market organization and AI and enterprise-domain teams.