As a Chief Platform Engineer, you will join our dynamic development team, playing a crucial role in code development, design, operational support and architecture.
Your day-to-day responsibilities will include collaborating with team members to enhance systems and applications, ensuring high performance and responsiveness. Leveraging your expertise, you will assist the product owner in defining direction and exploring innovative strategies to enhance and expand the team's portfolio.
You should feel comfortable engaging with stakeholders within and outside the organization.
Additionally, you will communicate effectively to larger audiences, educating and advocating for our Kafka offering while gathering requirements and feedback from stakeholders.
Key responsibilities and technical skills
Extensive hands-on experience with Apache Kafka and Confluent Kafka, including architecture, setup, optimization, troubleshooting and an in-depth understanding of Kafka internals (e.g. brokers, producers, consumers, Kafka Streams, connectors) and related ecosystem tools.
Proficient in designing and maintaining distributed data pipelines and real-time streaming solutions, with a strong understanding of security best practices for Kafka, including encryption, authentication and access control.
Hands-on experience with AWS infrastructure, monitoring, logging and alerting tools for Kafka (e.g. Confluent Control Centre, Prometheus, Grafana) as well as general knowledge of infrastructure build tools and Azure Pipelines/GitHub Actions.
Ensure features are delivered through an agile, incremental process.
Soft skills
Problem-solving and adaptability: Strong ability to troubleshoot and resolve issues efficiently, with a quick learning mindset to adapt to new technologies and changing environments.
Communication and teamwork: Excellent verbal and written English skills; capable of working effectively in a cross-location agile environment and conveying information clearly to team members and stakeholders.
Customer focus: Experienced in support roles, managing on-call responsibilities and resolving user incidents while prioritizing tasks and stakeholders effectively.
Leadership: Proven ability to guide and mentor teams in adopting Kafka and Confluent Kafka technologies.
Thrive in a flat organizational structure, embracing collaboration and shared decision-making.
Professional development
Commitment to continuous personal development, including obtaining and maintaining relevant certifications.
Stay curious and informed about industry standards and advancements.
Job Types: Full-time, Permanent
Pay: ₹800,000.00 - ₹1,600,000.00 per month
Benefits:
Health insurance
Provident Fund
Application Question(s):
Notice Period?
Current CTC?
Experience:
Kafka-based integration: 10 years (Required)
Azure: 5 years (Required)
Python: 6 years (Preferred)
microservices: 5 years (Preferred)
CI/CD: 5 years (Required)
Work Location: In person
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