Are you a QA Automation Engineer looking to work on AI-enabled testing, distributed systems, SaaS products, and enterprise-scale software? BMC Helix is hiring for the position of Quality Automation Engineer II in Pune, Maharashtra. This opportunity is aimed at professionals with 3โ5 years of QA or performance engineering experience who want to contribute to automation development and modern quality engineering. The role combines Python/Java-based automation, Selenium, test planning, manual testing when needed, and AI-enabled testing tools. Candidates with experience in Linux, virtualization, containers, APIs, databases, and distributed applications should pay particular attention to this opening.
๐ข About BMC Helix
BMC Helix develops enterprise software for digital service and operations management. Its portfolio includes SaaS solutions for IT service management, infrastructure discovery, and intelligent IT operations. The company is investing in AI-native and agentic AI capabilities to help organizations automate workflows and improve IT operations. The Digital Service and Operations Management (DSOM) product line supports complex enterprise environments, where reliability, scalability, integration, and effective monitoring are essential. For quality engineers, this creates opportunities to work beyond basic UI testing and contribute to testing distributed services, APIs, automation frameworks, and performance-related scenarios.
๐ Job Overview
- Company: BMC Helix
- Job Title: Quality Automation Engineer II
- Job ID: 63758
- Location: Pune, Maharashtra, India
- Experience Required: 3โ5 years
- Primary Technologies: Python, Java, Selenium, AI-enabled automation tooling
- Additional Technologies: Linux, Windows, virtualization, Kubernetes (K8s), Docker, databases, Kafka, APIs, DataDog
- Preferred Skills: Robot Framework, performance testing, JMeter, Agile, Jenkins CI
๐ผ Key Responsibilities
- Develop automated tests: Build and maintain automation using Python or Java, Selenium, and AI-enabled tooling developed by the team.
- Review requirements and designs: Identify gaps, risks, ambiguities, and testability concerns before implementation.
- Create test plans and test cases: Design structured, comprehensive scenarios covering functionality, integrations, regression, and negative cases.
- Plan testing activities: Estimate effort, prioritize coverage, and coordinate testing according to release requirements.
- Test distributed systems: Validate interactions among services, APIs, databases, and infrastructure components.
- Perform manual testing: Execute targeted manual checks when automation is unsuitable or additional investigation is required.
- Collaborate across teams: Work with engineering and other stakeholders to investigate defects and improve product reliability.
โญ Why Is This Role Good for Experienced Professionals?
- Advance beyond UI automation: The role includes APIs, distributed systems, containers, and infrastructure-related testing.
- Gain exposure to AI-enabled QA: Engineers can contribute to testing workflows that use AI-powered tooling while applying engineering judgment to validate results.
- Strengthen automation engineering: Experience with Python, Java, Selenium, or Robot Framework can support reusable and maintainable test development.
- Explore performance engineering: Familiarity with JMeter, load testing, benchmarking, and scalability can help broaden your testing profile.
- Work with enterprise SaaS products: Testing interconnected services offers valuable experience in reliability, integration, and release validation. Ideal candidates: QA automation or performance engineers with 3โ5 years of experience who can combine coding, structured testing, and practical troubleshooting.
๐ง Skills Required
- Programming and automation: Python or Java, Selenium WebDriver, reusable functions, object-oriented programming, assertions, waits, and debugging.
- Test design: Test plans, test cases, boundary conditions, negative testing, regression testing, and defect lifecycle management.
- Distributed systems: Understanding service-to-service communication, asynchronous processing, failures, and integration dependencies.
- Containers and infrastructure: Fundamentals of Docker, Kubernetes, Linux, Windows, and virtualization.
- APIs and databases: REST API validation, HTTP status codes, JSON, SQL queries, and database verification.
- Messaging and monitoring: Kafka fundamentals, log analysis, metrics, and DataDog-based monitoring.
- Performance and CI/CD: JMeter, load and scalability testing, Jenkins pipelines, and Agile practices.
- AI-enabled testing: Understanding how AI-assisted tools can support test creation and failure analysis while maintaining reliable validation.
๐ฏ Expected Interview Rounds at BMC Helix
- Round 1 โ Recruiter screening: Discuss your experience, automation skills, current responsibilities, and interest in the role.
- Round 2 โ Programming and automation: Prepare Python/Java fundamentals, Selenium, framework architecture, reusable utilities, and debugging scenarios.
- Round 3 โ QA and system testing: Expect preparation around test strategy, API testing, distributed systems, Docker/Kubernetes, Kafka, databases, and Linux.
- Round 4 โ Practical or design discussion: Be ready to explain how you would automate a complex workflow, investigate intermittent failures, or test a service across multiple dependencies.
- Round 5 โ Managerial discussion: Prepare examples demonstrating ownership, prioritization, collaboration, and how you improved product quality. The actual process may include fewer or additional rounds depending on the hiring team.
๐ฐ Expected Salary Range
The job description does not publish compensation for this exact requisition. A separate BMC Quality Automation Engineer listing for Pune has advertised a salary band of approximately โน15.9โโน26.5 LPA, with a midpoint near โน21.2 LPA. This is a useful company-level reference, not a confirmed salary band for Job ID 63758.
๐ Preparation Tips
- Build a small API automation framework: Include reusable requests, response validation, test data management, logging, and reporting.
- Practise distributed-system scenarios: Explain how you would test a service when Kafka messages are delayed, a dependent API fails, or a database becomes unavailable.
- Review container troubleshooting: Understand how to inspect container logs, check service health, and investigate environment-specific failures.
- Prepare a performance-testing example: Explain workload design, response-time percentiles, throughput, error rates, and bottleneck identification in JMeter.
- Demonstrate AI-testing judgment: Explain how you would review AI-generated tests, verify coverage, and prevent unreliable generated assertions from entering a CI pipeline.
- Prepare measurable achievements: Be ready to explain automation coverage, execution-time improvements, flaky-test reduction, and defects identified before release.
๐ Resume Tips
- Prioritize relevant experience: Highlight Python/Java automation, Selenium, APIs, and framework development.
- Show distributed-system exposure: Mention Docker, Kubernetes, Kafka, databases, Linux, or DataDog where you have hands-on experience.
- Quantify impact: Include regression time saved, automation coverage, defect detection, and release-quality improvements.
- Demonstrate ownership: Describe a complex failure you investigated and how you confirmed the root cause.
- Keep skills accurate: Separate tools used in real projects from technologies you only know conceptually.
๐ฉ How to Apply
๐ Application Link: Click Here
๐ค Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at BMC Helix and request a referralโit can significantly enhance your visibility in the hiring process.
Search for Quality Automation Engineer II โ India, Job ID 63758, on BMC Helixโs official careers platform and follow the application instructions on the job listing. The supplied description does not contain a direct application URL, so no additional link is included here.
โ Final Thoughts: This is a strong opportunity for QA professionals with 3โ5 years of experience who want to grow into automation engineering for AI-enabled, distributed enterprise software. Focus on coding, test framework design, APIs, infrastructure fundamentals, and practical debugging to prepare effectively.
