Job Description
Job Description :
We are seeking a highly experienced Senior Software / Data Engineer with 5 to 9 years of hands-on experience in building and operating scalable, distributed systems. The ideal candidate will have strong expertise in Java, Apache Kafka, and Apache Spark, along with experience deploying applications on on-prem Kubernetes and AWS ECS.
The role also requires working knowledge of AWS core services and Terraform for Infrastructure as Code.
Required Technical Skills :
Core Technologies :
– Java (8+)
– Strong OOP fundamentals, collections, multithreading, and JVM concepts
– Apache Kafka
– Apache Spark
– Spark SQL, Data Frames/Datasets
– Structured Streaming
– Performance tuning basics
Containerization & Orchestration :
– On-Prem Kubernetes
– Deploying and managing applications using Deployments, Services, ConfigMaps, and Secrets
– Understanding of pods, namespaces, scaling, and rolling updates
– Basic troubleshooting of Kubernetes workloads
– AWS ECS
– Experience with ECS task definitions and services
– Working knowledge of ECS on EC2
– Integration with ALB, IAM roles, and CloudWatch
– Docker
– Creating Docker files
– Containerizing Java and Spark applications
Cloud (AWS Basic to Intermediate) :
Hands-on experience with core AWS services :
– Amazon S3 data storage / data lake
– Amazon EC2 compute
– AWS ECS container orchestration
– IAM roles, policies, and permissions
Infrastructure as Code & DevOps (Good to Have) :
– Terraform
– Writing and maintaining Terraform configurations and modules
– Managing environments (dev, test, prod)
– State management fundamentals
– CI/CD exposure using tools such as Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline
– Understanding of deployment strategies (rolling, blue-green)
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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