Description

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

Responsibilities

• Develop and maintain applications using Apache Spark, including Spark SQL, DataFrames, Datasets, and streaming.
• Design and implement cloud-based solutions utilizing AWS services such as S3, Lambda, Step Functions, AMQ, SNS, SQS, and CloudWatch Events.
• Build and manage microservices using Spring Boot, REST APIs, and GraphQL.
• Own technical non-functional requirements including security, transactions, monitoring, and performance.
• Implement event-based architectures and queue-based systems within a Kubernetes and ELK environment.

Required Skills

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