Kafka Engineers
2 days ago
Job Title: Kafka Lead
Experience 10+ yrs.
Location: Hyderabad
Scope
The scope of work involves the finalization and optimization of the Kafka Streams solution for the IEE job, focusing on achieving production-level performance, scalability, observability, and cost efficiency. The key objectives are outlined as follows:
Cost Optimization
- Estimate and benchmark the current cost.
- Prioritize iterative performance improvements with a focus on cost efficiency.
Functional Enhancements
- Ensure functional parity with the main branch.
- Upgrade library versions, including Java, Spring Boot, Spring, Kafka Streams, etc.
- Eliminate Hibernate dependencies.
- Remove unnecessary libraries and redundant functionalities.
Integration and Optimization
- Optimize boot-up time, including multi-threaded loading of data sources (e.g., whitelists, lookups).
- Continuously identify and resolve performance bottlenecks.
- Logging and Metrics
- Implement detailed logging and metrics collection for monitoring and analysis.
Production Readiness
Prepare for production deployment by addressing the following areas:
- Containerization of the solution
- Development of runbooks
- Creation of monitoring dashboards and alert mechanisms
- Deployment scripts for streamlined rollouts
- Auto-scalable container orchestration
- Cluster sizing recommendation tool
- Auto-healing mechanisms for handling: slow or erroneous policies and invalid events
Quality Assurance
- Develop comprehensive automated tests, including: Unit tests, integration tests with data mocking and policy types with violation handling
- Execute extensive unit tests, Sonar scans, and security scans.
- Implement CI/CD pipelines for continuous deployment to Dev and Performance environments based on quality gate criteria.
Documentation
- Create comprehensive documentation, including: Design documents, Code walkthroughs, Runbooks for operational guidance
Deliverables & Milestones
Optimized the (Kafka Streams) codebase with production-level performance enhancements, implemented monitoring and alerting and AWS resources, and provided comprehensive documentation for production deployment, including architecture details and operational procedures like runbooks. Additionally, conducted end-to-end testing with recommendations for any further improvements. The project will be executed in phases with the following key milestones:
- Weekly Progress Reports: Regular updates on the project status and achievements.
- Bi-Weekly Demos: Demonstrations every two weeks to showcase progress and gather feedback.
- Ongoing Cost Optimization Monitoring: Continuous visibility into the current state of the Cost Optimization estimates
- Functional Testing: Conduct parallel testing for functional parity with the existing Spark-based IEE job on a selected tenant within the first two months.
- Multi-Tenant Testing: Perform multiple parallel tests across different tenants prior to final sign-off
Why Join Us?
At CriticalRiver, you’ll have the opportunity to lead and shape a key practice within our organization, work with high-caliber clients, and make a meaningful impact on their digital transformation journey. We are committed to fostering a culture of innovation, growth, and collaboration where your ideas and leadership will thrive.
CriticalRiver Inc. is an employee-owned technology consulting and IT services firm that empowers its workforce to have a direct stake in the company's growth and success. This ownership model fosters a collaborative and committed culture where employees are motivated to deliver high-quality solutions and services for clients. By giving its team members a shared interest in the company's achievements, CriticalRiver enhances innovation, accountability, and a strong sense of community across all levels of the organization.
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