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 1200 global customersincluding several Fortune 500 companiesto Rise. With a massive network of 163000 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 Careers Page:
Apache Kafka Confluent Java Spring Kafka Schema Registry

Requirements:

• 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.