end-to-end-testing jobs in San Diego

Senior Consultant leading AI and cloud security architecture design, implementation, and operational handoff for enterprise clients. Responsibilities include client discovery, technical workshops, architecture reviews, and creating reusable reference architectures and security standards.…See more Requires 3+ years of hands-on software/AI/cloud security experience, proficiency in at least one major LLM platform (Claude, OpenAI, Gemini, Bedrock, Vertex AI), and expertise in secure application development, DevSecOps, cloud security architecture, or AI security controls using Python, TypeScript, JavaScript, Go, or Java.

Lead software testing for web applications and instrument systems built with C# and TypeScript. Design and implement both automated and manual test strategies, build verification frameworks, and integrate test suites into CI/CD pipelines.…See more Own quality metrics, identify risks, and mentor junior engineers in testing methodologies and automation practices. Requires 5+ years of QA/SDLC experience, 5+ years of software development in C#, Java, JavaScript, or TypeScript, and hands-on expertise with automation frameworks like Playwright, Cypress, and Selenium.

Develop and execute automated test suites in Python to validate genomics and bioinformatics applications, including sequencing workflows, variant-calling results, and sample-to-result traceability. Test integrations with Laboratory Information Management Systems (LIMS), perform functional, integration, regression, and end-to-end testing, and integrate automated tests into CI/CD pipelines.…See more Collaborate with wet lab and dry lab teams to translate scientific requirements into test scenarios, validate data integrity and audit trails, and partner with engineering teams on defect resolution. Requires a degree in Computer Science, Bioinformatics, or Life Sciences, 3+ years of QA/test automation experience, strong Python skills, and working knowledge of genomics concepts and laboratory workflows.

Lead a full-stack engineering team building AI/ML products at Accenture's QuantAI practice, bridging research algorithms into production systems for trading, investment, and optimization use cases. You will manage engineers across frontend, backend, and ML infrastructure; define quality standards and evaluation frameworks; coach team members; and collaborate with quants and client teams to ship end-to-end products.…See more The role requires 5+ years of shipped software experience, 2+ years of hands-on full-stack depth (frontend, backend, databases, deployment, debugging), and ideally deep experience designing LLM/agentic systems or working in high-stakes decision-support domains.

Lead verification and validation for cloud-connected medical device systems, designing and executing comprehensive test plans while developing and maintaining automated test frameworks in Python. Test Microsoft Azure cloud applications, APIs, and infrastructure alongside embedded software validation in regulated medical environments.…See more Support CI/CD pipelines, perform functional/integration/system/performance testing, analyze defects, and mentor other test engineers while contributing hands-on technical work.

Lead a QA automation team while designing and maintaining test automation frameworks using Selenium, Java, Cucumber, and REST Assured. Execute end-to-end testing, define automation strategies, and mentor QA engineers on Agile projects.…See more The role requires hands-on technical expertise in API testing and test automation alongside team leadership and coordination of testing activities.

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and developer experience. The role involves building self-service infrastructure tooling, contributing to observability and SLO definitions, participating in on-call rotations, and automating infrastructure provisioning using Terraform.…See more Requires 3+ years of software or infrastructure engineering experience, production Go development, hands-on Terraform expertise, and deep knowledge of distributed systems concepts and operational practices.

The Sr. Test Development Engineer leads automation testing for a medical device company's software/firmware products, designing and executing end-to-end test suites, developing automated test scripts, and maintaining test infrastructure.…See more The role requires 5+ years of software/test development experience and 4+ years of OOP programming (Java, Python, Ruby), with hands-on responsibilities including test case design, debugging, requirements traceability, and collaboration with development teams on root-cause analysis. The engineer will mentor junior staff, leverage AI systems to accelerate test execution, and ensure compliance with medical device and cybersecurity regulations.

This is a high-ownership QA role at an early-stage AI validation startup where you'll design and build testing strategy, test infrastructure, and quality processes from the ground up. You'll perform manual and automated testing of CLI tools, web dashboards, and integrations with AI coding assistants (Claude, Cursor, GitHub Copilot, etc.), validate scan accuracy, and own bug triage across multiple operating systems and language ecosystems.…See more You'll work directly with founders and engineering to build testability into the product and define QA processes as the team scales, with responsibilities spanning test case design, automated regression/integration/end-to-end testing, and release sign-off.

Lead software testing for web applications and instrument systems, designing and executing both automated and manual test strategies with a focus on C# and TypeScript solutions. Build verification frameworks, integrate test suites into CI/CD pipelines using GitHub Actions, TeamCity, or Jenkins, and partner with developers to define test coverage.…See more Own quality metrics, identify risks, mentor junior engineers, and optimize automation solutions across assigned projects.