
201 - 500 employees
Founded 2004
☁️ SaaS
💳 Fintech
🤖 Artificial Intelligence
SaaS • Fintech • Artificial Intelligence
Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.
🕒 August 28
Where this job comes from
Posted on Provenir's careers page ↗, not through a job board
First seen by Remote Rocketship August 28
Still open on Provenir's site. Checked 4 hours ago.

201 - 500 employees
Founded 2004
☁️ SaaS
💳 Fintech
🤖 Artificial Intelligence
SaaS • Fintech • Artificial Intelligence
Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.
• Assure the quality of Provenir’s products • Create automated tests and manage builds and continuous integration • Automate tests for microservices and related front ends • Manage infrastructure across development and production cloud environments • Build and maintain end-to-end and component test suites using modern browser automation • Develop API and contract tests and reserve UI tests for genuine user journeys • Embed quality gates in CI/CD pipelines, including parallel runs and risk-based test selection • Provision ephemeral containerized test environments through infrastructure-as-code • Track test flake rates, quarantine and fix unstable tests, and maintain stability and runtime SLAs • Use AI-assisted tooling for test authoring, coverage analysis, and locator resilience • Work shift-left with engineers and partner on issue triage and root-cause analysis • Validate graph database schemas, relationships, queries, ingestion, transformation, and graph analytics outputs • Develop ML evaluation harnesses for accuracy, drift, bias, fairness, and explainability • Test agentic workflows, including tool calling, orchestration, context handling, recovery, and guardrails • Design assertions for non-deterministic outputs using golden sets, semantic similarity, and LLM-as-judge evaluation • Establish prompt and model regression testing • Validate feature pipelines and training/serving consistency with data science teams • Improve dev/test/deploy processes and support application onboarding to the target operating model • Document, track, and escalate issues
• Bachelor’s Degree in Computer Science or a related field • Proven track record of extensive hands-on experience in automated testing of web applications and services • Experience designing, developing, and executing automated tests in Python using Playwright, Selenium WebDriver, or equivalent • Understanding of maintainable test architecture, including Page Object Model or equivalent patterns • Extensive hands-on experience with Python scripting • Experience testing web services and REST APIs using Postman and Swagger • Working knowledge of graph databases such as Neo4j, Amazon Neptune, TigerGraph, or JanusGraph, including writing and validating graph queries • Exposure to testing AI/ML-backed features and understanding probabilistic-system assertions • Scripting experience beyond Python, such as Unix shell or Ruby • Experience with continuous integration and pipeline-based delivery using Jenkins, GitHub Actions, GitLab CI, or similar • Experience with SQL • Experience recommending process improvements • Nice to have: agentic frameworks such as LangChain, LangGraph, or MCP • Nice to have: LLM evaluation practices, graph analytics libraries, observability-driven testing, Docker, Kubernetes, Terraform, Ansible, cloud APIs, and JIRA
• Comprehensive health and wellness plans • Paid time off • Company holidays • Flexible and remote-friendly opportunities • Maternity/paternity leave
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