Software Engineer SDE3

8-10 Years

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Early Applicant

Job Description

Job Requirement

Key Responsibilities

Design, build, and maintain core components of our centralized Kafka platform using Java (Springboot) and Kafka APIs
Automate Kafka cluster provisioning, configuration, monitoring, and scaling using Kubernetes and CI/CD practices
Implement governance controls around topic lifecycle, quotas, schema registry, and access management
Collaborate with internal teams to understand use cases and provide guidance on best practices
Write clean, testable, and well-documented code adhering to design patterns and architectural standards
Contribute to platform observability (metrics, logs, traces) and alerting mechanisms
Troubleshoot complex Kafka issues at the broker, producer, and consumer level and contribute on incident management and root cause analysis
Participate in design and code reviews, ensuring maintainability and performance

Required Skills And Experience

8+ years of Java software engineering experience with strong object-oriented design and development skills
3+ years of Kafka administration experience in a production-grade, multi-tenant setup
5+ years of experience in development and/or administration of public/private cloud
Solid understanding of Kafka internals including topics, partitions, consumer groups, offsets, retention policies, etc.
Hands-on experience with Kafka tooling: MirrorMaker, Schema Registry, Kafka Connect, Cruise Control, etc.
Experience with deploying on Kubernetes and using Helm, Terraform, or similar tools
Good understanding of observability and monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry)
Strong collaborator with excellent communication skills and a commitment to team success
Proven ability to deliver results on tight timelines and manage competing priorities

Preferred Qualifications

Experience working with Confluent Platform or Strimzi Operator
Knowledge of RESTful API development and service-oriented architecture
Familiarity with CI/CD pipelines using GitHub Actions, Jenkins, or similar tools
Exposure to cloud environments (AWS, Azure, or GCP)