Staff Engineer – PaaS Kafka and Messaging (Remote)

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Requirements:

• Deep hands-on experience in complex system design, data pipeline and architectures, scalable distributed systems.
• Fluent in at least one OOP languages such as Java, Go, Python, C++, etc.
• Understand atleast one open-source messaging and event streaming products like Kafka, Pulsar, RabbitMQ etc.
• Experience with continuous delivery and infrastructure as code
• In-depth knowledge of CS data structures and algorithms
• Experience solving analytical problems with quantitative approaches
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, test automation and related tools, operations, real-time communication)
• Experience on open-source messaging and event streaming platforms with emphasis on building enterprise scale platforms
• Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube
• and knowledge in Terraform/Ansible will be a plus
• Knowledge on Open-source monitoring software like Grafana and Prometheus will be a plus
• Familiarity with other messaging and event solutions like Azure Service Bus and Azure Event Hub will be a plus

Responsibilities:

• Focus on multiple areas and provide technical and thought leadership to the enterprise
• Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
• Develop and execute technical software development strategy for the Platform Engineering domain
• Accountable for the quality, usability, and performance of the solutions
• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives
• Consistently share best practices and improve processes within and across teams
• Analyze cost and forecast, incorporating them into business plans
• Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, demonstrate adaptability and sponsor continuous learning
• Take on-call and operation support