Full Stack Engineer

Roles & Responsibilities Design and develop clean, testable, and maintainable full stack applications using Java/Python and Angular. Build scalable distributed systems leveraging AWS services and open-source technologies. Work on cloud data movement pipelines to platforms like Snowflake . Implement solutions using stream processing frameworks such as Kinesis, Flink, or Spark. Collaborate with DevOps teams to manage CI/CD pipelines using tools such as Maven, Jenkins, GitHub, and Docker . Develop and maintain RESTful APIs and microservices using Java Spring . Work with relational and NoSQL databases (PostgreSQL, DynamoDB, Graph DB) to manage and optimize data. Participate in design and code reviews ensuring quality, scalability, and security best practices. Work collaboratively in an Agile/Scrum team, contributing to sprint planning, estimation, and retrospectives. Continuously explore, learn, and implement emerging technologies to enhance system capabilities and performance. Years of Experience Minimum 6 years of experience in software development, with a focus on cloud-native full stack engineering . Educational Qualification & Certifications (Optional) Bachelor s or Master s degree in Computer Science, Engineering, or related field . AWS Certification preferred. Skill Set Required Must Have: Strong programming experience in Java, Scala, or Python . Expertise in AWS cloud services (EC2, Lambda, Kinesis, S3, SNS, SQS, RDS, etc.). Hands-on experience with Java Spring and REST API development. Proficiency with JavaScript, Angular, or AngularJS . Experience with data streaming and processing technologies (Flink, Spark, Kinesis Data Analytics). Database expertise with PostgreSQL, DynamoDB , and Graph databases . Experience with DevOps tools Maven, Jenkins, GitHub, Docker. Understanding of containerization and serverless architectures (Docker, Kubernetes). Working knowledge of Agile methodologies (SCRUM, Kanban). Nice to Have: Experience with data integration and movement to Snowflake or other cloud warehouses. Exposure to CI/CD automation and monitoring tools . Experience in microservices and event-driven architecture . Familiarity with Flink or Spark streaming pipelines .