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Keka Inc. is seeking a senior Java Developer to join our engineering team. You will work on containerized microservices, leveraging Java 17/21, Spring Boot, and AWS cloud-native services to build high-scale, low-latency backend systems.
You will contribute to design, development, and maintenance of high-performance services, collaborating with data engineers and cross-functional teams to deliver reliable software.
We are looking for a Java Developer with 6+ years of experience to join our engineering team. The ideal candidate should have strong hands-on experience in Java and modern frameworks such as Spring Boot , with experience building scalable microservices and backend applications . In this role, you will contribute to the design, development, and maintenance of high-performance services , working closely with cross-functional teams to deliver reliable and scalable solutions. Exposure to cloud environments (preferably AWS), containerization (Docker/Kubernetes), and distributed systems will be an added advantage. The role requires strong problem-solving skills, the ability to write efficient and maintainable code, and a collaborative approach to delivering high-quality software.
Experience: 6+ years with Java and related framework and 1+ years of experience with AWS.
Availablity in between 6 PM IST and 12 AM IST would be required
This is a role in which the selected candidate will be working on a set of containerized micro-services serving high transaction volume (over 50k req/second) and will utilize AWS cloud-native services such as Lambda, Kinesis, S3, Athena, RDS, DynamoDB to achieve high scale and resilience
You will contribute, write technical specs, code, troubleshoot, and support scalable services in a high volume and low latency environment.
Our tech stack includes Java 17 or 21, Spring Boot, AWS RDS, AWS DynamoDB, AWS S3, Apache Kafka, Lambda, ElastiCache. Infrastructure components include Kubernetes, Prometheus/Grafana, TeamCity, SonarQube, JFrog Artifactory, TeamCity, Gradle.
This position closely works with data engineers and provides exposure to various big data technologies, platforms.
Major work will be focused on scaling and performance optimization. Use of advanced software engineering concepts such as multithreading, event driven architecture, design patterns, observability, containerization (Kubernetes), serverless systems