Description

Lead the design, development, and maintenance of large-scale data applications and distributed systems.

This role is on-site.

Responsibilities

• Develop and maintain applications using Apache Spark (SQL, DataFrames, Datasets, streaming).
• Design cloud-based solutions on AWS (S3, Lambda, Step Functions, AMQ, SNS, SQS, CloudWatch).
• Build microservices with Spring Boot, REST APIs, and GraphQL.
• Own technical non-functional requirements: security, transactions, monitoring, performance.
• Implement event-based and queue-based architectures in Kubernetes and ELK.

Required Skills

• 10+ years solution design/development with Java 8+, J2EE, Spring, Spring Boot.
• Strong programming in Java, Scala, or Python.
• Extensive experience with Spark ecosystem and big data processing tools.
• Deep expertise in AWS cloud services and event-driven architecture.
• Hands-on Kubernetes and ELK stack (Elasticsearch, Logstash, Kibana).
• Solid knowledge of NoSQL databases, specifically MongoDB.
• Experience with ORM frameworks (JPA, Hibernate).
• Proficiency with DevOps toolchains (Jenkins, Artifactory, Ansible, Chef, Puppet, Spinnaker, Maven/Gradle).
• Experience with the Atlassian Tool suite.

Preferred Skills

• Experience with OAuth implementation using Ping Identity.
• Experience with API Management via Apigee or Service Mesh using Istio.
• AWS Certification.

Key Skills

Education

Any Graduate