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Experience: Strong knowledge across the board.

Focus: Experience in Incident, Change, Problem, and Capacity Management, as well as Migration and Availability Management. Skilled in automation and optimization (Scripting, Ansible, REST API) to enhance efficiency.

Key Tools: Expertise in platforms like F5, SentinelOne, Carbon Black, CyberArk/Arcon, Seclore, and Imperva DAM/DSF.

Job Title : Senior QA Automation Architect (Cloud & Kubernetes)

Experience : 6+ Years

Location : India (Multiple Offices)

Shift Timings : 12 PM to 9 PM (Noon Shift)

Working Days : 5 Days WFO (NO Hybrid)

About the Role :

We’re looking for a Senior QA Automation Architect with deep expertise in cloud-native systems, Kubernetes, and automation frameworks.

You’ll design scalable test architectures, enhance automation coverage, and ensure product reliability across hybrid-cloud and distributed environments.

Key Responsibilities :

• Architect and maintain test automation frameworks for microservices.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions).
• Ensure reliability, scalability, and observability of test systems.
• Work closely with DevOps and Cloud teams to streamline automation infrastructure.

Mandatory Skills :

• Kubernetes, Helm, Docker, Linux
• Cloud Platforms : AWS / Azure / GCP
• CI/CD Tools : Jenkins, GitHub Actions
• Scripting : Python, Pytest, Bash
• Monitoring & Performance : Prometheus, Grafana, Jaeger, K6
• IaC Practices : Terraform / Ansible

Good to Have :

• Experience with Service Mesh (Istio/Linkerd).
• Container Security or DevSecOps exposure.

Role Overview: We are seeking a highly experienced and technically proficient Lead Performance & Reliability Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of performance testing methodologies across mobile and web platforms, with hands-on expertise in industry-leading tools. You will be instrumental in ensuring the scalability, stability, and responsiveness of our critical systems, from initial design to production monitoring. A strong background in site reliability engineering principles, coupled with a proactive approach to identifying and resolving performance bottlenecks, is essential.

Key Responsibilities:

• Performance Strategy & Execution:
• Lead the design, development, and execution of comprehensive performance testing strategies for complex mobile (iOS/Android) and web applications.
• Define performance SLAs, identify key performance indicators (KPIs), and establish performance baselines.
• Conduct various types of performance tests including load, stress, scalability, endurance, and failover testing.
• Tooling & Automation Expertise:
• Utilize and optimize leading performance testing tools such as LoadRunner and JMeter to simulate realistic user loads and analyze system behavior.
• Develop robust, scalable, and maintainable performance test scripts across diverse protocols.
• Implement and integrate performance testing into CI/CD pipelines for continuous performance validation.
• Monitoring & Observability:
• Leverage monitoring and observability platforms like Datadog, Splunk, and Kibana for real-time performance monitoring, root cause analysis, and proactive issue detection in production environments.
• Configure dashboards, alerts, and reports to provide actionable insights into system health and performance trends.
• System Analysis & Optimization:
• Perform in-depth analysis of performance test results and production metrics to identify bottlenecks in application, database, and infrastructure layers.
• Collaborate closely with development, architecture, and operations teams to recommend and implement performance improvements.
• Deep dive into SQL Queries and MongoDB performance, optimizing database schemas, queries, and indexing for optimal throughput.
• Chaos Engineering & Resiliency:
• Familiarity with Gremlin or similar chaos engineering platforms to proactively identify and address system weaknesses under adverse conditions.
• Contribute to building resilient and fault-tolerant systems.
• Architectural & Methodological Leadership:
• Apply principles of SAFe (Scaled Agile Framework) or similar agile methodologies to integrate performance engineering practices seamlessly into the software development lifecycle.
• Work closely with architects and developers to ensure performance considerations are embedded from the design phase.
• Data Management & Scripting:
• Proficiency in writing and optimizing complex SQL Queries for performance analysis and data manipulation.
• Strong Scripting skills (e.g., Python, Java, JavaScript, Shell Scripting) for test automation, data generation, and custom tool development.
• Experience with MongoDB for NoSQL database performance analysis and optimization.
• Emerging Technologies & AI:
• Exposure to or keen interest in utilizing AI/ML-driven tools for performance analysis and optimization, including understanding the capabilities of Azure Copilot or similar AI assistants in a development context.
• Mentorship & Collaboration:
• Mentor junior engineers and share best practices in performance engineering.
• Foster a culture of performance awareness and reliability across engineering teams.

Required Skills & Experience:

• 9-12 years of progressive experience in Performance Testing, Performance Engineering, or Site Reliability Engineering.
• Demonstrable expertise in Mobile Performance Testing for both iOS and Android platforms.
• Hands-on mastery of LoadRunner and JMeter for performance test script development and execution.
• Extensive experience with performance monitoring tools such as Datadog, Splunk, and Kibana.
• Solid understanding of database performance concepts and hands-on experience with SQL Queries and MongoDB.
• Proven ability in at least one major scripting language (e.g., Python, JavaScript, Java, Shell).
• Experience with or strong understanding of Agile methodologies, preferably SAFe.
• Familiarity with Chaos Engineering principles and tools (e.g., Gremlin).
• Understanding of cloud platforms (Azure preferred) and exposure to AI-assisted development tools like Azure Copilot is a plus.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration abilities.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Key Responsibilities:

• Work with the development team to plan, execute and monitor deployments
• Capacity planning for product deployments
• Adopt best practices for deployment and monitoring systems
• Ensure the SLAs for performance, up time are met
• Constantly monitor systems, suggest changes to improve performance and decrease costs.
• Ensure the highest standards of security

Key Competencies (Functional):

• Proficiency in coding in atleast one scripting language - bash, Python, etc
• Has personally managed a fleet of servers (> 15)
• Understand different environments production, deployment and staging
• Worked in micro service / Service oriented architecture systems
• Has worked with automated deployment systems – Ansible / Chef / Puppet.
• Can write MySQL queries

ESSENTIAL SKILLS/ATTRIBUTES:

• Excellent knowledge of Android
• Appreciation for the limitations of handset development
• Attention to detail and subtleties of UI design and implementation
• Understanding of design patterns
• Ability to design for scalability and resilience
• Strong application process flow and problem solving techniques.
• Strong focus on refactoring and code quality
• Understanding of software configuration management and release management
• High levels of software engineering literacy and communication skills
• Friendly and professional manner
• Minimum 3 - 5 years java development
• Third Level Qualifications in computing, mathematics or science

DESIRED SKILLS:

• Experience of working in an agile environment
• Product development and lifecycle experience
• Experience of unit testing
• Scripting (JavaScript, Ruby, Python, Shell, etc.)
• Knowledge of build systems such as Maven and Gradle