Flink Engineer

Apache Flink Hands-on expertise in building and maintaining Flink pipeline jobs for data processing and analytics. This is the core skill; the candidate will function as the team's subject matter expert on Flink from day one.

Java Strong foundational knowledge, as Flink natively supports Java. Experience with Spring Boot, RESTful APIs, and related Java ecosystem tools is expected.

AWS Development Broad, hands-on experience with AWS services including EKS, Lambda, API Gateway, DynamoDB, S3, and Step Functions. Note: Experience limited solely to deploying Flink on AWS EKS does NOT meet this requirement.

Golang Proficiency in Golang for developing Kubernetes applications and Lambda functions.

Terraform Experience with Infrastructure as Code for defining and managing cloud infrastructure.

Kubernetes / Containerization Hands-on experience developing and deploying applications within AWS EKS, along with Docker.

Kafka Familiarity with real-time data streaming and asynchronous messaging.

Version Control Proficiency with Git.

Agile Familiarity with Agile/SDLC methodologies.

Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience.

Strong problem-solving, analytical, communication, and teamwork abilities.

Design, develop, code, and test features using Java and Spring Boot

Build and maintain RESTful web services for application integrations

Develop and maintain Apache Flink pipeline jobs

Develop and work with Kafka for real-time data streaming

Contribute to application deployment on AWS (EKS, Lambda, API Gateway, DynamoDB, S3, Step Functions)

Define and manage infrastructure using Terraform

Write unit, integration, and end-to-end tests; troubleshoot and debug defects

Create and maintain technical documentation

Collaborate closely with senior engineers, product managers, and stakeholders across the SDLC