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

  .