Kafka Developer

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

We are currently searching for a Kafka Developer:

The Challenge (Responsibilities)

• Design and enable messaging and streaming solutions based on Apache Kafka and enterprise distributions like Confluent.
• Act as the technical reference for the implementation of asynchronous and event-driven integration patterns.
• Ensure that event flows between producers and consumers are reliable, scalable, and consistent with modern architecture practices.
• Define the strategy for topics, partitions, keys, retention, delivery semantics, and data contracts to properly support business and engineering needs.
• Contribute to the creation of internal frameworks or libraries to publish and consume events safely and consistently, avoiding duplicate implementations and reducing common errors (message loss, uncontrolled re-processing, incorrect ordering).
• Collaborate closely with architects and data teams to implement schema governance, version compatibility, and good logical observability practices (e.g., lag and throughput metrics at the consumer group level).
• Advise on resilience strategies (retries, DLQs, backpressure), idempotence, and design for replays in complex systems to ensure event-driven architecture is maintainable over time.
• Enable the organization to use Kafka as an integration backbone, minimizing technical risks and maximizing event traceability and consistency.

Your Profile (Requirements)

• Proven experience with Confluent Kafka, Schema Registry, and Avro/Protobuf/JSON Schema serialization.
• Strong proficiency in Java (Spring Kafka) and consumption patterns (at-least-once/exactly-once).
• Hands-on experience using Kafka Connect, managing event formats, headers, and correlative tracing.
• Proficiency using Git/Bitbucket, Jira, and documentation tools like Confluence.
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.
• Advanced Spanish.

Special Notes

• N/A

Work Arrangement We value flexibility to support your lifestyle. This position is available as:

• Hybrid

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/

• Confluent Kafka, Schema Registry, Avro/Protobuf/JSON Schema serialization.
• Java (Spring Kafka), consumption patterns (at-least-once/exactly-once).
• Kafka Connect, event formats, headers, correlative tracing.
• Git/Bitbucket, documentation tools (Confluence), Jira.