As a Senior QA Engineer, you will play a critical role in driving quality across our product offerings. You will work closely with developers and product/support teams to ensure that our storage and networking monitoring solutions are thoroughly tested and meet enterprise-level reliability. A strong background in automation testing using Python and scripting is essential, along with proven debugging experience in enterprise products utilizing AWS, Cloud, and Kubernetes technologies. You will act as a key advocate for quality across the organization, interacting with diverse teams and stakeholders to push the boundaries of product excellence. Key Responsibilities: QA and Automation Testing: Come up with exhaustive test plans and automation test-cases using Python and scripting languages to validate end to end real world scenarios. Enterprise Product Testing: Test enterprise-grade products deployed in AWS, Cloud, and Kubernetes environments, ensuring that they perform optimally in large-scale, real-world scenarios. Debugging and Issue Resolution: Work closely with development teams to identify, debug, and resolve issues in enterprise-level products, ensuring high-quality and reliable product releases. Test Automation Frameworks: Develop and maintain test automation frameworks to streamline testing processes, reduce manual testing efforts, and increase test coverage. Customer Interaction: Be open to interacting with cross-geo customers to understand their quality requirements, test against real-world use cases, and ensure their satisfaction with product performance. Voice of Quality: Act as an advocate for quality within the organization, pushing for excellence in product development and championing improvements in testing practices and processes. Documentation: Create and maintain detailed documentation of testing processes, test cases, and issue resolutions, enabling knowledge sharing and consistent quality assurance practices. Qualifications: Bachelor s or master s degree in computer science, Software Engineering, or a related field. 6+ years of hands-on experience in QA and automation testing, with a strong focus on Python and scripting. Proven experience in testing and debugging enterprise products deployed in AWS, Cloud, and Kubernetes environments. Solid understanding of storage and networking domains, with practical exposure to monitoring use-cases. Strong experience with automation testing frameworks, including the development and execution of automated test cases. Excellent debugging, problem-solving, and analytical skills. Strong communication skills, with the ability to collaborate with diverse teams across geographies and time zones. Experience in working in agile development environments, with a focus on continuous integration and delivery. Passion for quality and a relentless drive to push the boundaries of what can be achieved in product excellence. Why Join Us: Opportunity to play a pivotal role in driving quality for a leading performance monitoring company with a focus on storage and networking monitoring. Collaborative and innovative work environment with a global team. Competitive salary and benefits package. Professional growth and development opportunities. Exposure to cutting-edge technologies and enterprise-level challenges.

As a Staff Software Engineer specializing in backend technologies for Storage and Network monitoring in an AI enabled Data center as well as C loud, you will play a critical role in designing, developing, and delive ring high-quality features within aggressive timelines. Your expertise in microservices-based streaming architect ures and str ong hand s-on development skills are essential to solve complex problems related to large-scale data processing. Proficiency in backend technologies such as Java, Python is crucial. Work Type- Hybrid Key Responsibilities Hands-on Development : Actively participate in the design, development, and delivery of high-quality features, demonstrating strong hands-on expertise in backend technologies like Java, Python, Go or related languages. Microservices and Streaming Architectures: Design and implement microservices-based streaming architectures to efficiently process and analyze large volumes of data, ensuring real-time insights and optimal performance. Agile Development: Collaborate within an agile development environment to deliver features on aggressive schedules, maintaining a high standard of quality in code, design, and architecture. Feature Ownership: Take ownership of features from inception to deployment, ensuring they meet product requirements and align with the overall product vision. Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency. Code Reviews and Best Practices: Conduct code reviews, provide constructive feedback, and promote best practices to maintain a high-quality and maintainable codebase. Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals. Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding . Qualifications Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. 12+ years of hands-on experience in backend development, demonstrating expertise in Java, Python or related technologies. Strong domain knowledge in Storage and Networking, with exposure to monitoring technologies and practices. Experience is handling the large data-lakes with purpose-built data stores (Vector databases, no-SQL, Graph, Time-series). Practical knowledge of OO design patterns and Frameworks like Spring, Hibernate. Extensive experience with cloud platforms such as AWS, Azure or GCP and development expertise on Kubernetes, Docker, etc. Solid experience designing and delivering features with high quality on aggressive schedules. Proven experience in microservices-based streaming architectures, particularly in handling large amounts of data for storage and networking monitoring. Familiarity with performance optimization techniques and principles for backend systems. Excellent problem-solving and critical-thinking abilities. Outstanding communication and collaboration skills. Why Join Us Opportunity to be a key contributor in the development of a leading performance monitoring company specialising in AI-powered Storage and Network monitoring. Collaborative and innovative work environment.Competitive salary and benefits package. Professional growth and development opportunities. Chance to work on cutting-edge technology and products that make a real impact.

Container technologies, including creating Docker plugins and extensions Serverless technologies including instrumentation, addons Orchestrators including Kubernetes, OpenShift, Mesos, Swarm Metric generation and collection including Prometheus and tools like Dynatrace and Datadog Tracing including OpenTracing , Jaeger Graph tools and Databases including neo4j, JanusGraph , TinkerPop /Gremlin TimeSeries databases like Prometheus, OpenTSDB NoSQL and Indexing tools like MongoDB, Cassandra, Solr and Elastic Languages including Java, Scala, Javascript , Python, R, and Go Messaging tools including Kafka, Akka Big Data tools including HDFS, YARN, Spark, Flink AI/ML techniques including Statistical Analysis, Classification, Deep Learning, etc. Cloud services: AWS, GCP, and Azure, their services in databases, networking and ML tools High performance User Interfaces including AngularJS, Vue, D3.js and local stores Authentication and Authorization including tools like Okta and KeyCloak Role Responsibilities: New features developed independently with the ability to document the design after understanding and evaluating the requirements with necessary groundwork on required application components Hands-on coding to implement the design for feature completion Able to write unit tests that ensures bug free code Able to handle the multi-tenant and performance requirements of the new features and applications. Integrate the new features with existing modules, deliver ready to use code meeting necessary build requirements and CI/CD requirements. Work with other functional groups for product, technology, QA, tech support and deployment team. Required Qualifications: BE/ B.Tech Degree from a reputed institution with at least 6 + years of relevant experience Hands-on experience with Core Java( 8 or above), J2EE with a good knowledge of its ecosystem Experience with JUnit, JMH like performance tuning test tools preferred REST API design and development experience. Usage of Swagger or other API spec tools would be preferred. Working knowledge on Spring Boot is a plus Hands-on experience with some of the following application components is a plus: Kafka, OpenTSDB , Elasticsearch, Janus graph or any graph DB. Experience with databases such as Cassandra or Solr or MongoDB, MySQL or PostgreSQL required. Familiarity with continuous integration and build tools such as Jenkins or CircleCI , Maven, Ant required Experience building applications using microservices architecture is highly preferred. Knowledge of Kubernetes, Docker would be ideal Experience building scalable systems Strong problem solving skills and ability and interest to solve complex problems Interest in machine learning (ML) data science is a plus Desired Qualifications : Working Knowledge of public clouds, AWS, Azure or GCP, is desired

As a Senior Software Engineer specializing in backend technologies for Storage and Network monitoring in an AI enabled Data center as well as Cloud , you will play a critical role in designing, developing, and delivering high-quality features within aggressive timelines. Your expertise in microservices-based streaming architectures and strong hands-on development skills are essential to solve complex problems related to large-scale data processing. Proficiency in backend technologies such as Java, Python is crucial. Work Type- Hybrid Key Responsibilities: Hands-on Development: Actively participate in the design, development, and delivery of high-quality features, demonstrating strong hands-on expertise in backend technologies like Java, Python, Go or related languages. Microservices and Streaming Architectures: Design and implement microservices-based streaming architectures to efficiently process and analyze large volumes of data , ensuring real-time insights and optimal performance. Agile Development: Collaborate within an agile development environment to deliver features on aggressive schedules, maintaining a high standard of quality in code, design, and architecture. Feature Ownership: Take ownership of features from inception to deployment, ensuring they meet product requirements and align with the overall product vision. Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency. Code Reviews and Best Practices: Conduct code reviews, provide constructive feedback, and promote best practices to maintain a high-quality and maintainable codebase. Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals. Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding. Qualifications: Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. 7+ years of hands-on experience in backend development, demonstrating expertise in Java, Python or related technologies. Strong domain knowledge in Storage and Networking, with exposure to monitoring technologies and practices. Experience is handling the large data-lakes with purpose-built data stores (Vector databases, no-SQL, Graph, Time-series) Practical knowledge of OO design patterns and Frameworks like Spring, Hibernate. Extensive experience with cloud platforms such as AWS, Azure or GCP and development expertise on Kubernetes , Docker, etc. Solid experience designing and delivering features with high quality on aggressive schedules. Proven experience in microservices-based streaming architectures, particularly in handling large amounts of data for storage and networking monitoring. Familiarity with performance optimization techniques and principles for backend systems. Excellent problem-solving and critical-thinking abilities. Outstanding communication and collaboration skills. Why Join Us: Opportunity to be a key contributor in the development of a leading performance monitoring company specializing in AI-powered Storage and Network monitoring. Collaborative and innovative work environment. Competitive salary and benefits package. Professional growth and development opportunities. Chance to work on cutting-edge technology and products that make a real impact.

As a Senior QA Engineer, you will play a critical role in driving quality across our product offerings. You will work closely with developers and product/support teams to ensure that our storage and networking monitoring solutions are thoroughly tested and meet enterprise-level reliability. A strong background in automation testing using Python and scripting is essential, along with proven debugging experience in enterprise products utilizing AWS, Cloud, and Kubernetes technologies. You will act as a key advocate for quality across the organization, interacting with diverse teams and stakeholders to push the boundaries of product excellence. Key Responsibilities: QA and Automation Testing: Come up with exhaustive test plans and automation test-cases using Python and scripting languages to validate end to end real world scenarios. Enterprise Product Testing: Test enterprise-grade products deployed in AWS, Cloud, and Kubernetes environments, ensuring that they perform optimally in large-scale, real-world scenarios. Debugging and Issue Resolution: Work closely with development teams to identify, debug, and resolve issues in enterprise-level products, ensuring high-quality and reliable product releases. Test Automation Frameworks: Develop and maintain test automation frameworks to streamline testing processes, reduce manual testing efforts, and increase test coverage. Customer Interaction: Be open to interacting with cross-geo customers to understand their quality requirements, test against real-world use cases, and ensure their satisfaction with product performance. Voice of Quality: Act as an advocate for quality within the organization, pushing for excellence in product development and championing improvements in testing practices and processes. Documentation: Create and maintain detailed documentation of testing processes, test cases, and issue resolutions, enabling knowledge sharing and consistent quality assurance practices. Qualifications: Bachelor s or master s degree in computer science, Software Engineering, or a related field. 6+ years of hands-on experience in QA and automation testing, with a strong focus on Python and scripting. Proven experience in testing and debugging enterprise products deployed in AWS, Cloud, and Kubernetes environments. Solid understanding of storage and networking domains, with practical exposure to monitoring use-cases. Strong experience with automation testing frameworks, including the development and execution of automated test cases. Excellent debugging, problem-solving, and analytical skills. Strong communication skills, with the ability to collaborate with diverse teams across geographies and time zones. Experience in working in agile development environments, with a focus on continuous integration and delivery. Passion for quality and a relentless drive to push the boundaries of what can be achieved in product excellence.

Container technologies, including creating Docker plugins and extensions Serverless technologies including instrumentation, addons Orchestrators including Kubernetes, OpenShift, Mesos, Swarm Metric generation and collection including Prometheus and tools like Dynatrace and Datadog Tracing including OpenTracing , Jaeger Graph tools and Databases including neo4j, JanusGraph , TinkerPop /Gremlin TimeSeries databases like Prometheus, OpenTSDB NoSQL and Indexing tools like MongoDB, Cassandra, Solr and Elastic Languages including Java, Scala, Javascript , Python, R, and Go Messaging tools including Kafka, Akka Big Data tools including HDFS, YARN, Spark, Flink AI/ML techniques including Statistical Analysis, Classification, Deep Learning, etc. Cloud services: AWS, GCP, and Azure, their services in databases, networking and ML tools High performance User Interfaces including AngularJS, Vue, D3.js and local stores Authentication and Authorization including tools like Okta and KeyCloak Role Responsibilities: New features developed independently with the ability to document the design after understanding and evaluating the requirements with necessary groundwork on required application components Hands-on coding to implement the design for feature completion Able to write unit tests that ensures bug free code Able to handle the multi-tenant and performance requirements of the new features and applications. Integrate the new features with existing modules, deliver ready to use code meeting necessary build requirements and CI/CD requirements. Work with other functional groups for product, technology, QA, tech support and deployment team. Required Qualifications: BE/ B.Tech Degree from a reputed institution with at least 6 + years of relevant experience Hands-on experience with Core Java( 8 or above), J2EE with a good knowledge of its ecosystem Experience with JUnit, JMH like performance tuning test tools preferred REST API design and development experience. Usage of Swagger or other API spec tools would be preferred. Working knowledge on Spring Boot is a plus Hands-on experience with some of the following application components is a plus: Kafka, OpenTSDB , Elasticsearch, Janus graph or any graph DB. Experience with databases such as Cassandra or Solr or MongoDB, MySQL or PostgreSQL required. Familiarity with continuous integration and build tools such as Jenkins or CircleCI , Maven, Ant required Experience building applications using microservices architecture is highly preferred. Knowledge of Kubernetes, Docker would be ideal Experience building scalable systems Strong problem solving skills and ability and interest to solve complex problems Interest in machine learning (ML) data science is a plus Desired Qualifications : Working Knowledge of public clouds, AWS, Azure or GCP, is desired