AI Test Engineer

Principal Software Engineer

Location: Bangalore India

Department: AI Engineering / Quality Assurance

Experience Level: Mid to Senior

We are looking for a highly motivated Senior AI Test / Automation Engineer to design and scale automated validation frameworks for AI/ML models, LLM-based applications, and agentic systems. This role is critical to ensure that AI solutions meet enterprise standards for quality, reliability, safety, and compliance before and after production deployment.

Key Responsibilities

• Build and maintain AI test automation frameworks for pre-qualification and continuous validation of models and agent workflows
• Develop comprehensive test suites, including:
• Unit, integration, and end-to-end (E2E)
• Functional, regression, performance, and safety testing
• Validate AI system behavior, including:
• Non-deterministic LLM outputs
• Hallucinations and edge cases
• Multi-step agent decision-making
• Design and manage evaluation systems:
• Golden datasets
• Benchmarking pipelines (accuracy, latency, reliability)
• Automate testing within CI/CD pipelines for model updates, prompt changes, and tool integrations
• Implement observability and telemetry to enable traceability, monitoring, and audit readiness
• Collaborate cross-functionally with ML, MLOps, Product, and Security teams to define quality gates and release criteria
• Track and report quality KPIs, including test coverage, defect leakage, and system reliability
• Drive root-cause analysis and continuous improvement across the AI testing lifecycle

Required Skills

Core Engineering

• Strong programming skills in Python; familiarity with Bash, TypeScript, or Go
• Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes)

AI / ML & Agentic Systems

• Hands-on experience with LLM ecosystems (OpenAI, Anthropic, Bedrock)
• Familiarity with:
• RAG architectures and vector databases (Pinecone, Weaviate)
• Agent frameworks (LangChain, LlamaIndex, AutoGen)

AI Testing Techniques

• Experience with non-deterministic testing approaches (statistical assertions, tolerance thresholds)
• Knowledge of evaluation methods:
• LLM-as-a-judge
• BLEU, ROUGE, semantic similarity scoring
• Experience with prompt and agent regression testing
• Understanding of AI safety testing, including adversarial testing, bias/fairness validation, and jailbreak detection

Tooling (Preferred)

• AI testing & observability tools: LangSmith, TruLens, Arize, Weights & Biases
• Evaluation tools: DeepEval, Ragas, PromptFoo, Giskard
• Monitoring: Prometheus, Grafana, OpenTelemetry

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and cross-functional collaboration
• Data-driven mindset with focus on quality KPIs
• Detail-oriented with a strong bias toward automation and scalability

Experience Requirements

• 7+ years in QA, SDET, or test automation engineering
• Proven experience building and scaling automation frameworks
• Hands-on experience with AI/ML systems or LLM-based applications
• Experience testing RAG pipelines or agentic workflows
• Owned end-to-end AI test strategy and architecture
• Defined quality metrics and release gates
• Delivered scalable validation pipelines for production AI systems
• Supported audit and compliance readiness

Preferred

• Experience in enterprise or regulated environments (SOC2, ISO 27001, etc.)
• Exposure to:
• Shift-left testing practices
• Production observability and monitoring
• Chaos or resilience testing

Senior-Level Differentiators

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Nice-to-have:

• ISTQB certification
• Cloud/ML certifications (AWS, Azure, GCP)
• AI testing certifications

What Success Looks Like

• AI systems that are accurate, reliable, and safe
• Fully automated test pipelines integrated into CI/CD
• Measurable improvements in defect leakage and model quality
• Strong observability and auditability across AI systems
• Scalable validation frameworks supporting rapid AI innovation

QA Test Engineer – Manual & Automation

Location: Bangalore, India

Experience: 2–5 years

Employment Type: Full-time

Work Mode: On-site

About Juntrax

Juntrax is a B2B Cloud SaaS product company building business operations software for SMEs. Our platform helps businesses manage their day-to-day operations through streamlined digital workflows and tools.

We are looking for a QA Test Engineer who can ensure the quality, reliability, and usability of our product through a combination of manual and automated testing.

Key Responsibilities

• Design, develop, and execute manual and automated test cases for web-based SaaS applications.
• Perform functional, regression, integration, system, and API testing.
• Create and maintain automated test scripts for critical product workflows.
• Identify, document, track, and retest bugs using appropriate bug-tracking tools.
• Collaborate closely with developers, UI/UX designers, product teams, and other stakeholders to understand requirements and ensure product quality.
• Participate in requirement analysis and contribute to test planning and test strategy.
• Perform cross-browser and responsive testing to ensure a consistent user experience.
• Validate new features, enhancements, bug fixes, and product releases.
• Maintain clear documentation of test scenarios, test cases, defects, and test results.
• Help improve QA processes, automation coverage, and overall testing efficiency.

Required Skills & Qualifications

• 2–5 years of experience in Software Quality Assurance / Testing.
• Strong understanding of manual testing concepts and QA methodologies.
• Hands-on experience with automation testing using tools/frameworks such as Selenium, Playwright, Cypress, or similar.
• Experience with API testing using tools such as Postman or similar.
• Good understanding of SQL and database validation.
• Experience with regression, integration, functional, and end-to-end testing.
• Familiarity with Git/version control and basic CI/CD concepts.
• Ability to write clear and effective test cases and defect reports.
• Good analytical and problem-solving skills.
• Strong attention to detail and a quality-focused mindset.

Good to Have

• Experience testing B2B SaaS or cloud-based applications.
• Experience with JavaScript/TypeScript, Python, Java, or another programming language.
• Experience integrating automated tests into CI/CD pipelines.
• Familiarity with Agile/Scrum development environments.
• Experience with performance or security testing.

What We’re Looking For

• Someone who can think beyond the happy path and identify edge cases and potential failure points.
• A QA professional who is comfortable working independently as well as with cross-functional teams.
• Someone who takes ownership of product quality from requirement analysis through release.
• A continuous learner who is interested in increasing automation coverage and improving QA processes.

Why Join Juntrax?

• Work directly on a growing B2B SaaS product.
• Gain exposure to the complete software development and release lifecycle.
• Opportunity to contribute to both manual and automation QA practices.
• Work closely with engineering, product, and leadership teams.
• Be part of a fast-paced startup environment where your work has a direct impact on the product.

Software Test Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 2-5 years

Role Overview

The purpose of the Software Testing Engineer is to validate components of Company's multi-technology energy platform including: EV chargers, energy storage, and embedded energy management technologies. You will develop and automate test cases from requirements, and participate in the development cycle of Company's advanced energy management software platform. You will help drive quality within the company ecosystem by participating in all aspects of black-box API testing for the many EV chargers that company utilizes. You will work with both hardware and software test setups to help company deliver a quality product.

What you’ll do:

• Develop validation and test plans for energy management algorithms in embedded devices
• Develop validation and test plans for OCPP communication protocol
• Install and Maintain AC & DC EVSE Hardware with a focus on safety above all.
• Develop python automation in a Linux environment
• Develop functional, stress and system level test suite and test infrastructure in manual and automated ways
• Develop test capabilities like fault injection, customer scenario simulation, end-to-end functional and performance testing
• Ability to architect and develop strategies to test the system at all levels of the application stack
• Build, manage and execute manual/automated test suites to exercise our world-class software to verify the growing feature sets and customer requirements
• Automate tasks through creation and maintenance of scripts and tools
• Track defects and drive vendors to closure
• Participate in all aspects of the product development process with emphasis on end-to-end system validation
• Lead efforts to obtain and maintain open standard certifications (OCPP, ISO15118, CCS, etc.)
• Maintain internal testing and validation equipment.

What We’re Looking For:

Basic Qualifications

• Bachelor’s degree in computer science or electrical engineering
• 2+ years’ experience working with Python, Scripting, Linux and Networking in a product development environment
• Hands-on experience with Playwright, Selenium, Jupyter, Pandas and other automation tools
• Hands-on experience Websockets, and REST API testing
• Hands-on experience with EVs, and EV chargers
• Hands-on experience with CCS, Chademo, and ISO15118
• Hands-on experience with Battery storage systems
• Experience in AI/ML or Generative AI (GenAI) application testing and validation.
• Hands-on experience with Python libraries such as NumPy and Pandas for test data preparation, analysis, and validation.
• Certified electrician is a plus
• Experience in power systems, grid management, and inverters
• Fast pace learner and self-starter
• Experience with energy storage, EV and electrical distribution preferred
• Knowledge of software requirements, architecture and documentation
• Knowledge of code maintenance, coding standards, and version control
• Work in an Agile (SCRUM) engineering environment
• Excellent verbal and written communication skills, interpersonal skills, collaborative skills, and cross-functional interface skills
• Effective communication of project results in written reports and presentations
• Ability to solve problems by identifying root causes, analyzing possible solutions, and taking appropriate action
• Committed to security practices in policy and delivery
• Show vigilance in reporting of information, security vulnerabilities whether personal devices, corporate assets, services offered to customers, or office environment
• Willing to participate in additional security and privacy trainings
• Willing to be a model citizen/mentor in security practices for Shell Recharge Solutions
• A sense of humor!

What We Offer: 

• A work environment that allows you to work with and learn from some of the best and brightest in this emerging industry 
• The ability to make a difference in a world that needs our technology to help reduce carbon emissions and enable a more sustainable energy future through the use of electric vehicle charging software, services and infrastructure 
• The freedom to learn, suggest, and implement innovative new ideas applied to our systems, processes, programs and technologies 
• Daily ownership of your role in a challenging, high-growth environment.    
• A casual work environment and culture that support work life ‘fit’, enabling you to fit life into your work and work into your life, i.e. flexible scheduling, virtualization options, and a generous holiday package 
• Competitive pay and benefits programs designed to enable you to thrive inside and outside of work
• Participation in Company’ performance and rewards bonus program 
• Best in class medical benefits for employees 
• Innovative Paid Time Off Program  

We are seeking a forward-thinking Mid-Level QA Automation Engineer specializing in RPA, financial systems validation, and AI engineering. You will build and scale end-to-end automation workflows using UiPath for our financial services platform. Additionally, you will pioneer our testing evolution by leveraging prompt engineering, creating custom AI agents, and implementing Model Context Protocol (MCP) servers to bridge AI models with our testing infrastructure.

Key Responsibilities and Duties

   RPA Automation:

·    Design, develop, and maintain robust automated testing workflows using UiPath Studio.

 AI Agent Engineering:

·   Architect, build, and orchestrate custom AI agents to autonomously generate,execute, and self-heal test scripts.

Prompt Engineering:

·   Design, optimize, and manage advanced prompt templates to drive deterministic,high-quality code and test case generation from LLMs.

 MCP Integration:

·    Implement and configure Model Context Protocol (MCP) ecosystems to securely connect AI agents with local data, development tools, and testing environments. 

 Financial System Testing:

·   Validate end-to-end trade life cycles, market data processing, and capital market clearing workflows. 

Regression Orchestration

·   Manage continuous regression schedules via UiPath Orchestrator to ensure financial system stability. 

Mandatory skills

Project Mandatory Skills

Project Desired Skills

UiPath Studio and Orchestrator (UI/API automation activities)

Selenium or Playwright for web-based application testing

Building, deploying, and scripting autonomous AI agents for complex engineering workflows

Calypso treasury and capital markets platform

Prompt engineering — context injection, few-shot prompting, and guiding LLMs to exact test requirements

FitNesse for acceptance testing and collaborative documentation

Model Context Protocol (MCP) — using or developing MCP servers/clients to connect AI tools to external data sources and developer environments

TypeScript, Python, or Java to support agent tool calling and framework extensions

 Qualifications

• 3+ years of professional software QA automation or RPA development experience.
•  Strong understanding of capital markets, trading lifecycles, treasury workflows, or core banking architectures.
• Strong communication and collaboration skills to work across engineering, QA, and business teams.

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

Job Title: Test Automation Engineer

Experience Required: 2+ Yrs. of very recent experience

Work Location: Gurugram, Haryana (Regular Work from Office)

Work Timings: 04:30 PM 01:30 AM IST (Monday Friday)

Employer Company: Alldomainsoft.com Pvt. Ltd. (alldomainsoft.com)

US Client: Avive Solutions, Inc. (avive.life)

Note: Local candidates preferred. Unsuitable for Java based profiles.

About the Role

As a Test Automation Engineer at Avive, you will play a critical role in ensuring the quality and reliability of our software products. You will build and maintain automated test coverage using Python, Pytest, and BDD frameworks alongside Selenium, focused on validating web application behavior, data accuracy, user permissions, and simulated device communication protocols. Partnering closely with Software Engineering, you will help shape test strategy and expand coverage as new features and functionality are shipped.

What You'll Do including but not limited to:

1. Test Automation Development Design, build, and maintain automated test suites using Python, pytest, and BDD frameworks to validate web application functionality.

• Develop and maintain Selenium-based automation to verify data is displayed accurately across the website.
• Create automation that simulates device communication protocols to validate that data generated by connected devices is correctly received, processed, and reflected on the website.

2. Software Verification

• Expand and maintain automated regression suites that catch defects early and give the team confidence as new features are released.
• Identify gaps in existing test coverage and prioritize new automation based on risk and impact.
• Investigate test failures, determine root cause, and work with Software Engineering to resolve issues.

3. Process & Tooling

• Document, organize, and maintain test cases in Jira using Xray, ensuring traceability between requirements, test coverage, and results.
• Report, track, and prioritize bugs in Jira, working with Software Engineering through resolution.
• Evaluate and integrate new tools, libraries, or frameworks that improve test efficiency, coverage, or maintainability.
• Contribute to CI/CD pipeline integration for automated test execution.
• Continuously refine test strategy and best practices as the product and codebase evolve.

Who You Are

• BS/B.Tech./B.E. in Computer Science, Software Engineering, or a related field (equivalent experience considered).
• 2+ years of experience in software test automation.
• Strong proficiency in Python, with hands-on experience using pytest and BDD frameworks (e.g., pytest-bdd, Behave, or Cucumber)
• Solid experience building and maintaining automated UI tests with Selenium.
• Experience testing web applications, including validating data accuracy, user permissions/access control, and integrations with external or simulated data sources.
• Familiarity with Jira and Xray (or similar tools) for bug tracking and test case management.
• Comfortable working with APIs and simulating device or system communication protocols for test purposes.
• Exposure to CI/CD pipelines and integrating automated tests into a continuous delivery workflow is a plus.
• Strong analytical and debugging skills, with the ability to trace issues from symptom to root cause.
• Organized, independent, and results-oriented, with the ability to manage multiple test efforts simultaneously.
• Excellent communication skills and strong attention to detail, with a collaborative, process-oriented approach to working with Software Engineering.

LinkedIn: www.linkedin.com/in/rkd94

Apply Link: https://jobs.lever.co/AviveSolutions/c20d1002-7998-4e8b-9209-0a4c590d0c7c

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

What you'll own

The quality charter. Define and evolve the testing strategy — web application, dashboards, APIs, webhooks, and customer integrations. Establish release criteria, coverage expectations, and quality gates that engineers actually respect because they're fast and they catch real bugs. Automation at scale. Build and maintain end-to-end and API automation suites that run on every PR and give a trustworthy signal. Own the flake rate. Design for parallel execution, deterministic test data, and fast feedback — a suite nobody trusts is worse than no suite. Performance and reliability. Design and run load, stress, and soak tests against APIs and the platform. Profile results, isolate bottlenecks with the engineers who own the service, and set up the monitoring that tells us about degradation before a customer does. Leverage through tooling, including AI. Use whatever gets coverage up and cycle time down: LLM-assisted test case generation from specs, AI-assisted authoring and maintenance of automation, synthetic test data generation, log and failure triage. We expect you to be opinionated about where these tools genuinely help and where they produce impressive-looking noise. Raising the bar. Partner with product and engineering from spec through release so quality risk is surfaced during design, not after code freeze. Mentor the QA team and build the practices — bug triage discipline, root cause analysis, prevention over detection — that outlast any single release.

What we're looking for

Must have

3–6 years in QA roles, with meaningful ownership of automation frameworks rather than only executing existing suites.

Strong test automation skills with a modern framework — Playwright, Cypress, or Selenium — and solid coding ability in Python, JavaScript/TypeScript, or Java. You should be comfortable reading application code, not just testing around it.

API testing experience: REST, auth, webhooks and asynchronous event flows, contract testing, and tooling such as Postman, REST Assured, or Pact.

Hands-on CI/CD integration — GitHub Actions, GitLab CI, Jenkins, or equivalent — including making suites fast and reliable enough to gate merges.

Working knowledge of SQL for validating data correctness, and comfort with logs, traces, and observability tooling for debugging.

Rigorous, systematic thinking about edge cases and failure modes, and the communication skills to make quality risk legible to product and leadership.

Nice to have

Experience testing AI, ML, or LLM-based products, and comfort with the reality that outputs are probabilistic rather than deterministic. Familiarity with Docker, Kubernetes, or cloud infrastructure for standing up test environments.

Performance and load testing with k6, JMeter, Gatling, or Locust, plus the analytical ability to turn results into a specific, actionable bottleneck. Exposure to enterprise SaaS with real integration surface area, or to security and compliance testing expectations of enterprise buyers. - Experience as the first or most senior quality voice on a team.

What we offer

Competitive compensation with equity. Direct ownership of a charter that materially affects how enterprise customers experience our product.

Proximity to frontier AI systems in production, and the freedom to use modern tooling to do your job well.

A fast-moving team where the distance between an idea and a shipped change is short.

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next‑generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defense with unparalleled reliability.

You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.

What You’ll Do

●    Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.

●    Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.

●    Performing functional, regression, performance, scalability and security testing to identify bugs or defects.

●    Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.

●    Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.

●    Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.

●    Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.

●    Architecting and designing complex, scalable test automation frameworks to optimize CI/CD velocity.

●    Ensuring the software meets customer and business requirements by validating the functionality and performance.

●    Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.

●    Supporting user acceptance testing (UAT) and assisting clients with product validation.

●    Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.

Required Experience

●    A Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.

●    8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.

●    Expertise in manual and automated testing.

●    Deep domain expertise in complex system validation and advanced automation practices at scale.

●    Proficiency in programming languages like Python to build and run automated test scripts.

●    "Strong knowledge of software testing methodologies, performance testing tools (e.g., JMeter, k6), and security traffic generation/simulation tools (e.g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators)."

●    Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.

●    Strong communication skills for documenting test results and interacting with cross-functional teams.

●    Excellent analytical skills, attention to detail, and problem-solving ability.

●    Ability to work independently as well as collaboratively in a team environment.

●    A curious mindset with a willingness to quickly learn new technologies and testing tools.

Required Skills & Qualifications

●    Familiarity with cloud-based testing environments (GCP, AWS, Azure).

●    Experience with cybersecurity products or cloud services or IDP or Web UI

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.

Position: Test Engineer (Manual / Automation)

Location: Bangalore

Experience: 3-5 years

Employment Type: Full-time

About the Role

We are looking for a skilled Test  Engineer with strong experience in manual and automation testing to collaborate  QA efforts across multiple projects. The ideal candidate will drive testing strategy and ensure product quality through process excellence and automation adoption.

Key Responsibilities

·       Define and implement test strategies, plans, and quality standards.

·       Oversee test design, execution, defect tracking, and triage.

·       Drive automation and integrate testing with CI/CD pipelines.

·       Collaborate with cross-functional teams for timely, quality releases.

·       Track and report QA metrics (defect density, coverage, leakage, progress).

·       Conduct risk-based testing and prioritize critical areas.

·       Manage test data, environments, and reviews for continuous improvement.

·       Ensure best testing practices and high-quality delivery across projects.

Required Skills & Qualifications

• Bachelor’s in Computer Science, IT, or related field.
• Strong manual testing and test case design skills.
• Hands-on experience with automation tools (Selenium, Playwright, Cypress, etc.).
• API testing experience (Postman, Swagger).
• Understanding of SDLC, Agile/Scrum, and CI/CD.
• Excellent problem-solving, communication, and mentoring skills.

Good to Have

• Knowledge of performance testing tools (JMeter, LoadRunner).
• Exposure to cloud-based testing (AWS, Azure).

Why Join Us?

• Lead a high-performing QA team with real ownership.
• Build automation frameworks and influence testing strategy.
• Exposure to full SDLC and enterprise-scale applications.
• Growth path toward QA Manager / Head of QA.