Senior QA & Evaluation Engineer

Join a fast-paced engineering team as a Senior QA Automation Engineer responsible for functional, UI, regression, and end-to-end testing across web applications and transactional systems. Work includes automation with Selenium using JavaScript/TypeScript, API and database validation, testing payment and POS integrations (Stripe experience a plus), and collaborating with engineering and data teams in Agile/Kanban environments. 5+ years of QA/test automation experience required; role is 100% remote.

Lead ownership of test environments across the software testing lifecycle, ensuring availability, stability and readiness; coordinate environment planning, configuration, refreshes, deployments and test data across teams. Requires 8+ years experience in test environment management/QA/software delivery, strong CI/CD and DevOps knowledge, advanced English communication skills, and experience with environment automation, containers and cloud-based infrastructure.

Coforge is hiring a Senior QA Engineer in Peru (híbrido). Responsibilities include designing and executing smoke, regression, integration, exploratory, performance and security tests; automating tests using Postman, Karate, SoapUI, Playwright, Selenium and BrowserStack; managing test plans, cases and defects; and participating in CI/CD with Jenkins, GitHub/Bitbucket and Azure DevOps. Required: senior QA experience and knowledge of black/grey/white-box testing, TDD/BDD, JMeter, OWASP, SQL and test automation tools.

CrowdStrike is hiring a Sr. AI SDLC Engineer to build agentic workflows and LLM-agent infrastructure that automate code generation, review, testing and release. The role requires 5+ years of backend/platform engineering experience (production Kubernetes preferred), hands-on experience with LLM-agent systems, strong understanding of LLM application mechanics, and proficiency in Go and/or Python. The position is remote for U.S. candidates.

Join Veeva Business Consulting as a Data Scientist focused on designing, prototyping, and scaling advanced analytics and ML solutions for Life Sciences customers across European markets. Responsibilities include processing and integrating healthcare data with Veeva Data Cloud, building predictive models and HCP engagement engines, collaborating with cross-functional teams, and maintaining model documentation and validation. Requires 2+ years' experience in data science/advanced analytics, strong Python and SQL skills, and familiarity with ML/AI and data engineering concepts.

MariaDB is hiring a Senior QA Automation Engineer / SDET to design, develop, and maintain automated tests and supporting frameworks for functional and performance testing of its distributed database platform (GridGain/Core). Requires 5+ years in QA or software engineering, strong Java skills, experience testing distributed/backend systems, and familiarity with topics such as multithreading, concurrency, networking, transactions, Docker, and Kubernetes. Role is remote for specified countries; salary range 69,000–93,400 EUR/year. MariaDB does not sponsor work visas or relocation.

Join MariaDB's GridGain Core QA Team to build and maintain automation for functional and performance testing of distributed database systems. Requires 5+ years in QA automation or software engineering, strong Java skills, experience with distributed/backend systems, and knowledge of multithreading, concurrency, networking, transactions, or consistency models. Remote/hybrid roles available across specified European countries. MariaDB does not sponsor visas or relocation.

You will design, train and ship recommendation and ranking models (embeddings, collaborative filtering, ANN search), build Python services served at low latency (re-ranking under a 200 ms budget), run daily batch pipelines for many merchants, extend LLM shopping assistant work, and own deployments and observability (containers, Kubernetes, autoscaling, dashboards, alerts). The role expects 5+ years building ML systems with production model-serving experience and strong experience in Python, vector DBs, ANN libraries, SQL, Docker/Kubernetes, and A/B testing.

Lead design and implementation of high-scale identity threat detection systems that analyze billions of authentication events daily. Responsibilities include building real-time Kafka pipelines and a pluggable detection engine, integrating ML and LLM-based reasoning, translating security research into production detections, and owning production observability, SLOs and incident response. Tech stack includes Python, Go, Java, Kafka, PostgreSQL, MongoDB, Redis, Protobuf/gRPC, GraphQL and AWS.

Be the first Senior ML Engineer at Primer working with a Staff Engineer to establish ML foundations. Responsibilities include full ML lifecycle ownership (research, training, deployment, monitoring), building ML infrastructure (versioning, CI/CD, observability), partnering with product/data/engineering, running experiments/A/B tests, and mentoring engineers. Requires strong Python and ML library experience, understanding of MLOps and cloud (AWS preferred), and familiarity with reinforcement learning concepts. Remote-first, distributed company.