Java / Full Stack Software Engineer

About the role

We are seeking an experienced Java / Full Stack Software Engineer to design, develop, and support scalable enterprise applications in a cloud-based environment. The ideal candidate will have strong hands-on experience with Java, Spring Boot, Microservices, AWS, and modern application development, along with exposure to data engineering, ETL, streaming, and frontend technologies. The role requires strong coding skills, practical problem-solving ability, and the ability to clearly explain technical design and implementation decisions.

Responsibilities

• Design, develop, test, and support enterprise applications using Java and Spring Boot.
• Build scalable backend services using Microservices architecture.
• Develop and support REST APIs and application integrations.
• Work with AWS services including S3, Lambda, SQS, and RDS.
• Develop and maintain ETL and streaming data pipelines using Spark/PySpark where applicable.
• Build secure, scalable, high-quality production code and participate in code reviews.
• Work with SQL and distributed databases such as Cassandra.
• Support containerized applications using Kubernetes.
• Participate in CI/CD, application deployment, troubleshooting, and production support.
• Work with frontend technologies such as React for full-stack application development where required.
• Collaborate with developers, architects, product teams, and other technology groups.
• Troubleshoot application and performance issues and perform root cause analysis.
• Participate in Agile development, technical design discussions, and solution implementation.

Required Skills

• Strong hands-on experience with Java
• Strong experience with Spring Boot
• Microservices Architecture
• AWS S3, Lambda, SQS, RDS
• REST APIs
• SQL
• ETL / Data Pipelines
• Apache Spark / PySpark
• CI/CD
• Git / Version Control
• Strong software engineering and design principles

Preferred Skills

• React
• Kubernetes
• Cassandra
• Terraform
• Shell Scripting
• Unix / Linux
• Streaming Data Pipelines
• Azure OpenAI / Generative AI exposure
• Monitoring and Observability tools