KMC is seeking a for a detail-oriented QA Engineer with a mix of manual and automation testing experience. You will be responsible for ensuring software quality by designing test cases, executing tests, reporting defects, and contributing to test automation efforts. If you enjoy working in an Agile environment and have exposure to both manual and automated testing, we’d love to hear from you! Requirements Analyze requirements, user stories, and design documents to create clear, detailed test cases. Perform functional, UI, regression, smoke, and exploratory testing manually. Document test results with evidence and maintain test documentation. Identify, report, and track defects using JIRA or similar tools. Validate bug fixes and conduct retesting/regression testing. Participate in sprint planning, stand-ups, and retrospectives. Work closely with developers, product owners, and other stakeholders. Contribute to UI or API automation scripts (Selenium, Postman, REST Assured, Cypress). Assist in maintaining and improving existing automation frameworks. Help integrate test scripts into CI/CD pipelines (Jenkins, GitLab CI, etc.). Collaborate with automation engineers to expand test coverage. Conduct performance, load, and stress testing to identify bottlenecks. Analyze system behavior under load and suggest optimizations. Required Skills & Experience: Manual Testing Strong experience in test case design and execution. Automation Exposure Familiarity with Selenium, Postman, REST Assured, or Cypress. Programming Basics Knowledge of Java, Python, or JavaScript for scripting. CI/CD Tools Experience with Git, Jenkins, or similar tools. API Testing Ability to test and debug RESTful APIs. Agile Methodology Experience working in Scrum/Kanban environments. Benefits Insurance - Family Term Insurance PF Paid Time Off - 20 days Holidays - 10 days Flexi timing Competitive Salary Diverse & Inclusive workspace Show more Show less

Core Responsibilities Design and optimize batch/streaming data pipelines using Scala, Spark, and Kafka Implement real-time tokenization/cleansing microservices in Java Manage production workflows via Apache Airflow (batch scheduling) Conduct root-cause analysis of data incidents using Spark/Dynatrace logs Monitor EMR clusters and optimize performance via YARN/Dynatrace metrics Ensure data security through HashiCorp Vault (Transform Secrets Engine) Validate data integrity and configure alerting systems Requirements Technical Requirements Programming :Scala (Spark batch/streaming), Java (real-time microservices) Big Data Systems: Apache Spark, EMR, HDFS, YARN resource management Cloud & Storage :Amazon S3, EKS Security: HashiCorp Vault, tokenization vs. encryption (FPE) Orchestration :Apache Airflow (batch scheduling) Operational Excellence Spark log analysis, Dynatrace monitoring, incident handling, data validation Mandatory Competencies Expertise in distributed data processing (Spark on EMR/Hadoop) Proficiency in shell scripting and YARN job management Ability to implement format-preserving encryption (tokenization solutions) Experience with production troubleshooting (executor logs, metrics, RCA) Benefits Benefits Insurance - Family Term Insurance PF Paid Time Off - 20 days Holidays - 10 days Flexi timing Competitive Salary Diverse & Inclusive workspace