What is the project, and why should you care?
As a Senior QA Automation Engineer, you will play a key technical leadership role in setting quality standards and advancing testing practices across the organization.
You will combine deep automation expertise with cross-functional collaboration — developing comprehensive test strategies, driving API, UI, and E2E automation, leading non-functional and performance testing efforts, and mentoring engineers.
Working closely with the Tech Lead and engineering teams, you will help define and implement scalable automation approaches for complex projects, improve testing efficiency, and ensure reliable, high-quality software delivery.
You will be an excellent fit for this position if you have:
5+ years of experience as a QA Automation Engineer or SDET in an Agile environment, with demonstrated technical expertise and ownership of quality.
Strong programming skills, preferably in Groovy or Java, with the ability to develop, maintain, and optimize automation frameworks.
Ability to build automation solutions from scratch, explain technical approaches, and mentor other engineers.
Strong expertise in API, UI, and E2E test automation, with hands-on experience in tools and frameworks such as Selenium/Selenide, OkHttp, TestNG, Cucumber (BDD), or their equivalents.
Ability to analyze existing UI automation frameworks, contribute new tests, troubleshoot issues, and optimize test runners, execution performance, and reliability.
Advanced knowledge of RESTful API testing, including complex request chaining, response validation, data verification, and scripting, combined with risk-based testing approaches and automation strategy development.
Hands-on experience with performance and load testing, including designing and executing load testing scenarios, analyzing system performance, and identifying bottlenecks across application components.
Strong understanding of CI/CD practices, including building and maintaining automated test pipelines using tools such as GitLab CI/CD and Gradle.
Experience with automated test reporting tools such as Allure or equivalent solutions.
Strong organizational skills and experience with issue-tracking and test management tools such as Jira.
Experience testing in cloud-native environments, with exposure to Kubernetes, Docker, and AWS.
Ability to collaborate with developers on technical solutions, investigate complex issues, and contribute to architectural discussions.
Nice to Have
Experience testing asynchronous and event-driven integrations using Apache Kafka or similar messaging platforms.
Experience with database validation and testing using PostgreSQL, DynamoDB, or similar databases.
Experience developing custom performance and load testing utilities using Groovy/Java, including supporting libraries and tools such as Jackson, Logback, and Chart.js.
Familiarity with static code analysis tools such as CodeNarc or equivalent solutions.
Exposure to Terraform, Splunk, or New Relic for infrastructure management, monitoring, and debugging.
Here are some of the things you’ll be working on:
Audit the existing Twilio ↔ Realtime-AI call bridge (media streams, ConversationRelay) and the two-way contracts with the AWS-hosted platform (inbound invokes, outbound callbacks, retries, reconciliation)
Assess production-readiness of the voice service — health checks, capacity limits, alerting, incident response — and identify gaps
Review the AI/session logic driving calls, along with related routes, background jobs, and schema
Deliver a findings report and a prioritized implementation roadmap
Provide part-time advisory support through implementation: review architectural/technical decisions, guide webhook-contract and telephony-integration design, and consult on production operability practices
