Senior Software Engineer –Distributed Systems & Stream Processing

Employment Type :
Full-time

Experience :
6 to 10 Years

Required Skills:

• Experience in designing and building RESTful APIs using microservice architecture.
• Solid understanding of software design patterns, data structures, and algorithms.
• Strong debugging, problem-solving, and performance optimization skills.

Preferred Skills:

• Experience working in Agile development environments.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Experience with the Scala Akka framework or a similar framework.
• Working experience using Apache Kafka Consumer / Producer APIs.
• Familiarity with OSS (Operations Support Systems) concepts, SNMP protocols, or experience in telecom environments.

Responsibilities :

• Learn and understand the architecture and workflows of a complex, existing distributed system.
• Design, develop, and maintain new features and modules in Scala or other JVM-based languages (e.g., Java, Kotlin).
• Optimize and refactor existing code to improve system performance and reliability.
• Work on real-time data pipelines using stream processing frameworks such as Kafka Streams, Apache Flink, or Spark Streaming.
• Manage and query distributed data stores such as Apache Ignite, Redis, or Cassandra.
• Implement and maintain monitoring, alerting, and visualization dashboards using Grafana, Prometheus, or Kibana.
• Support log aggregation and analysis through platforms such as Splunk, ELK Stack, or Graylog.
• Contribute to building and releasing automation through CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
• Collaborate with cross-functional teams to ensure code quality, performance, and reliability.
• Participate in code reviews, system design discussions, and continuous improvement initiatives.