Senior Software Developer II - Confluent Cloud Platform

Your role and responsibilities

We’re not just building better tech. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

Senior Software Engineers II at Confluent take ownership of critical backend systems that underpin our data streaming platform. You’ll lead the design and delivery of large-scale, distributed services that must be secure, highly available, and easy to operate across regions and clouds.

The team owns a highly available, scalable metadata store - the source of truth that services across Confluent Cloud build on. It serves low-latency read and write APIs, and streams data in real time. The platform is a foundational backbone of a broader effort to re-architect Confluent Cloud and replacing bespoke, per-team data stores with a single self-serve platform.

• Build and evolve the metadata platform - the read, write, and streaming APIs
• Solve hard distributed-systems problems - availability, consistency, sharding, scaling
• Design, build, and operate resilient, scalable systems across a stack spanning multiple clouds and services
• Independently drive projects - spot high-impact gap

Bachelor's Degree

Master's Degree

• 6+ years of industry experience designing, building, and operating large-scale backend services in production
• Strong programming and algorithmic skills, with proficiency in a major language (Go or similar)
• Strong command of concurrency and correctness - reasoning about and preventing race conditions
• Hands-on experience with distributed data stores (DynamoDB, Cosmos, Spanner, Cassandra, or similar)
• Experience with at least one major cloud (AWS, GCP, or Azure)
• Observability and operational excellence - SLOs, on-call, incident response, and postmortems
• High ownership and drive - self-managed execution with velocity in a fast-pace platform team
• Strong engineering practices - code review, testing, documentation, and clear written and verbal communication

• Familiarity with Kubernetes operators and controller patterns
• Event streaming experience
  - Kafka, event ordering, idempotency, and at-least/exactly-once delivery

IBM Software infuses core business operations with intelligence - from machine learning to generative AI to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it.

In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments - a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that…