--- title: 'Senior Quality Assurance Engineer at Provenir Inc' canonical: 'https://feeny.ai/job/senior-quality-assurance-engineer-provenir-inc-bengaluru-kqgcvwmdytrq' type: 'job' last_seen: '2026-09-03' --- # Senior Quality Assurance Engineer at Provenir Inc - **Company:** Provenir Inc - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-28 - **Last confirmed live:** 2026-09-03 - **Apply:** https://jobs.ashbyhq.com/provenirinc/589a6c56-c57e-43f0-8c7f-5dc1f4d14cb0 ## Job description ## Who We Are Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end- to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually — turning architectural coherence into sustained risk performance and measurable value. Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us. The Senior QA Engineer will be responsible for assuring the quality of our products, creating automated tests, and managing builds and continuous integration. You will automate tests for microservices and their related front ends, and manage infrastructure across development and production cloud environments. This role goes beyond conventional application testing. Our platform combines graph data stores, graph analytics, machine learning models, and agentic AI workflows — systems whose outputs are probabilistic, whose correctness is contextual, and whose decisions carry regulatory weight. You will help define what “passing” means for components that don’t return the same answer twice, and build the harnesses that hold them to it. ## What You’ll Do Core Test Automation - Build and maintain end-to-end and component test suites using modern browser automation with auto-waiting, trace-based debugging, and parallel execution as the default - Shape coverage around the test pyramid rather than the UI — API and contract tests as the primary safety net, with UI reserved for genuine user journeys - Embed quality gates directly in CI/CD pipelines — sharded parallel runs, risk-based test selection, and pass/fail criteria that block promotion without manual sign-off - Provision ephemeral, containerised test environments on demand through infrastructure-as-code, with synthetic and masked test data generated per run instead of maintained by hand - Treat test reliability as a product: track flake rates, quarantine and fix unstable tests, and hold suites to explicit stability and runtime SLAs - Use AI-assisted tooling for test authoring, coverage gap analysis, and locator resilience — while owning the judgement call on what the generated tests are actually worth - Work shift-left alongside engineers — contributing test coverage with the feature, not after it — and partner on triage to drive issues to root cause Graph Data and Analytics - Design and automate validation for graph database layers — schema integrity, relationship correctness, and query behaviour across Cypher, Gremlin, or SPARQL - Build regression coverage for graph analytics outputs: pathfinding, centrality, community detection, and link analysis used in fraud-ring identification and network risk scoring - Validate graph ingestion and transformation pipelines for data completeness, deduplication, and referential accuracy at scale AI/ML and Agentic Systems - Develop evaluation harnesses for ML model behaviour — accuracy thresholds, drift detection, bias and fairness checks, and explainability outputs required for regulatory review - Build automated test suites for agentic workflows: tool-calling correctness, multi-step orchestration, context handling, failure recovery, and guardrail enforcement - Design assertion strategies for non-deterministic outputs, including golden-set comparison, semantic similarity scoring, and LLM-as-judge evaluation - Establish prompt and model regression testing so behavioural changes are caught before release - Validate feature pipelines and training/serving consistency in partnership with data science teams Process and Platform - Incorporate best practices into dev/test/deploy processes and recommend improvements - Support application onboarding to the defined target operating model to achieve build and release automation - Document, track, and escalate issues as appropriate What’s Required Education: A Bachelor’s Degree in Computer Science or a related field. Experience: Proven track record of extensive hands-on experience in automated testing of web applications and services, including designing, developing, and executing automated tests in Python using a modern browser automation framework (Playwright, Selenium WebDriver, or equivalent). ## Qualifications, Strengths and Skills - Demonstrated understanding of maintainable test architecture — Page Object Model or equivalent patterns — for end-to-end testing - Extensive hands-on experience on Python scripting - Experience testing web services and REST APIs (Postman, Swagger) - Working knowledge of graph databases — Neo4j, Amazon Neptune, TigerGraph, JanusGraph or similar — including writing and validating graph queries - Exposure to testing AI/ML-backed features, and a clear grasp of why probabilistic systems need different assertions than deterministic ones - Scripting experience beyond Python: Unix shell, Ruby, or similar - Continuous integration and pipeline-based delivery (Jenkins, GitHub Actions, GitLab CI, or similar) - Experience with SQL - Experience recommending process improvements ## Nice to Have - Hands-on experience with agentic frameworks — LangChain, LangGraph, Model Context Protocol (MCP), or comparable orchestration tooling - Familiarity with LLM evaluation tooling and practices: golden datasets, rubric-based scoring, hallucination and jailbreak testing, red-teaming - Graph analytics libraries such as Neo4j GDS, Apache Spark GraphX, or NetworkX - Observability-driven testing — synthetic monitoring, canary analysis, and validation through traces, logs and metrics - Docker, Kubernetes, Terraform, Ansible; microservices, container deployment and service orchestration - Cloud APIs (AWS, Azure, GCP) - JIRA for issue tracking and escalation Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave. At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply. ## About Provenir Inc ## Company Overview - **One-liner**: Provenir provides an AI-powered risk decisioning platform that enables financial institutions to automate credit risk, fraud detection, and customer management across the customer lifecycle. - **Entity Type**: Private (no public funding rounds disclosed) - **Headquarters**: Parsippany, New Jersey, United States - **Founded**: 2004 - **Founders**: Larry Smith (Founder & CEO) [provenir.com/leadership](https://www.provenir.com/leadership/) ## Core Business - **Primary Industry**: Financial technology (fintech) – risk decisioning and data analytics software - **Target Customers**: B2B – banks, fintechs, credit unions, payment providers, and lenders of all sizes (SMB to enterprise) - **Mission**: Empower businesses to make smarter, real-time decisions to drive growth and improve customer experiences [builtin.com](https://builtin.com/company/provenir-inc) ## Products & Services - **Provenir AI Decisioning Platform**: A low-code, cloud-native platform unifying credit risk, fraud, identity, customer management, and collections. Includes a visual flow builder, AI/ML model builder, and a data ecosystem with 120+ pre‑built data partner integrations. Deployed via a single API. Delivers automation rates above 95% and decision times up to 98% faster than traditional solutions. [provenir.com](https://www.provenir.com/) - **Data Ecosystem**: On‑demand access to 1,000+ data sources through pre‑built, zero‑maintenance integrations for credit, fraud, and identity data. [provenir.com](https://www.provenir.com/) - **Fraud & Identity**: Application fraud detection, identity verification, and streamlined case management with visual UI for investigations. [provenir.com](https://www.provenir.com/) - **Customer Onboarding & Management**: End‑to‑end credit risk onboarding and dynamic customer engagement strategies to maximize lifetime value. [provenir.com](https://www.provenir.com/) - **Collections**: Proactive collections strategies to maintain ongoing credit relationships. [provenir.com](https://www.provenir.com/) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Annual revenue estimated at $26.2M (LinkedIn estimation, private company) [linkedin.com](https://linkedin.com/company/provenir-global) - **Total Funding**: Not publicly available - **Notable Investors/Partners**: No investors disclosed; partners include 120+ global data providers. Key customers: SoFi, BBVA, tbi bank (South East Europe), a South African telecom leader. [provenir.com](https://www.provenir.com/) - **Growth Signals**: - Processes >4 billion transactions annually across 60+ countries [provenir.com](https://www.provenir.com/) - 120+ customers and growing - 216 employees (+3.3% YoY) [linkedin.com](https://linkedin.com/company/provenir-global) - Case study results: 57% reduction in go‑live costs, 98% faster time to decision, 95% decision automation [provenir.com](https://www.provenir.com/) ## Competitive Advantages - **Unified platform** covering credit risk, fraud, and compliance across the entire customer lifecycle – eliminates silos and reduces integration complexity - **Low‑code, business‑user‑friendly** environment that lets non‑technical teams create and modify decisioning flows without IT dependence - **AI/ML model building** with continuous performance monitoring and strategy optimization - **Pre‑built data integrations** with 1,000+ sources from 120+ partners, enabling rapid deployment (live in weeks, not months) [provenir.com](https://www.provenir.com/) - **Proven performance**: 14x capacity improvement, 95%+ automation, and 98% faster decisions ## Strategic Focus - **AI‑powered decisioning**: Investing in AI/ML agents and continuous learning to further automate and optimize risk decisions - **Global expansion**: Serving financial institutions in 60+ countries with offices in North America, EMEA, APAC, and Latin America - **Customer lifecycle value**: Expanding beyond onboarding into ongoing customer management and collections to maximize lifetime value - **Partner ecosystem**: Deepening the data partner network to provide holistic decisioning across credit, fraud, and identity ## Why Work Here - **Work model**: Hybrid workspace with flexible remote options; many roles offer fully remote possibilities [builtin.com](https://builtin.com/company/provenir-inc) - **Culture**: Described as passionate, persistent, and pioneering; employees are empowered to be curious and forward‑thinking leaders [provenir.com/careers](https://www.provenir.com/careers/) - **Benefits** (based on Built In and careers page): - Comprehensive health plans (medical, dental, vision, FSA) - Retirement 401(k) with savings support - Generous PTO, paid holidays, paid sick leave - Parental/maternity/paternity leave - Life insurance, disability insurance, supplemental plans - Employee assistance programs and mental health support - Free snacks and drinks in office locations [provenir.com/careers](https://www.provenir.com/careers/) [builtin.com](https://builtin.com/company/provenir-inc) - **Global team**: Offices in Parsippany (HQ), New York, Miami, Toronto, London, Leeds, Singapore, Kuala Lumpur, São Paulo, and more - **Engineering culture**: Emphasis on innovation, collaboration, and working with mission‑critical systems used by top financial institutions ## Sources 1. [provenir.com](https://www.provenir.com/) 2. [provenir.com/careers](https://www.provenir.com/careers/) 3. [provenir.com/leadership](https://www.provenir.com/leadership/) 4. [builtin.com](https://builtin.com/company/provenir-inc) 5. [linkedin.com](https://linkedin.com/company/provenir-global) 6. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/provenirinc) ## Other roles at Provenir Inc - [Enterprise Business Development Representative](https://feeny.ai/job/enterprise-business-development-representative-provenir-inc-sao-paulo-2ah6acv7snhp) — São Paulo, Brazil - [Representante de Desenvolvimento de Negócios](https://feeny.ai/job/representante-de-desenvolvimento-de-negocios-provenir-inc-sao-paulo-41bepnve1yp1) — São Paulo, Brazil - [Senior PreSales Solutions Consultant](https://feeny.ai/job/senior-presales-solutions-consultant-provenir-inc-united-kingdom-zz27vt987bt5) — United Kingdom - [Software Engineer](https://feeny.ai/job/software-engineer-provenir-inc-bengaluru-g9yz0v3na3wm) — Bengaluru, India - [Data Scientist](https://feeny.ai/job/data-scientist-provenir-inc-sao-paulo-h8aywz875ha9) — São Paulo, Brazil - [Business Development Representative](https://feeny.ai/job/business-development-representative-provenir-inc-united-kingdom-3zgm9sm380je) — United Kingdom - [Senior Lifecycle Marketing Manager](https://feeny.ai/job/senior-lifecycle-marketing-manager-provenir-inc-london-c4eaan78kkry) — London, United Kingdom - [DevOps Engineer](https://feeny.ai/job/devops-engineer-provenir-inc-bengaluru-ew0yky19wcgy) — Bengaluru, India - [Senior Program Manager](https://feeny.ai/job/senior-program-manager-provenir-inc-united-states-q0m2maxzt771) — United States - [Country Director - Brazil](https://feeny.ai/job/country-director-brazil-provenir-inc-sao-paulo-tx0pgbyz3r21) — São Paulo, Brazil