Software Engineer - Cloud Compute Platform

IBM
Hursley, UK
11 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Application Programming Interfaces (APIs) Amazon Web Services Computing Platforms Automation of Tests Microsoft Azure Cloud Computing Code Review Databases Data Infrastructure Software Debugging Distributed Systems
+16 more
Protocol Buffers Software Engineering Systems Integration Data Processing Google Cloud Cloud Platform System Grafana Core Api Containerization Kubernetes Infrastructure Automation Frameworks Real Time Data Api Design Grpc Confluent Programming Languages

Job description

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native platform helps organizations connect and process data in real time across applications, databases, and systems.

We’re building a foundational platform for real-time data and are looking for self-motivated engineers who enjoy solving challenging problems, collaborating with others, and growing their technical skills.

About the Role

As a Software Engineer on the Compute Platform team, you will help build and operate the cloud-native compute platform that powers Confluent Cloud workloads.

Our platform manages workloads across Kubernetes clusters and cloud providers, providing common capabilities for scheduling, lifecycle management, security, and operations. You’ll work with experienced engineers to design, implement, test, and operate reliable systems.

Areas you may contribute to include:

  • Workload orchestration across Kubernetes clusters
  • Platform APIs and Kubernetes operators
  • Cloud platform integrations
  • Multi-tenant workload isolation and security
  • Observability, health checks, and operational tooling
  • Workload scheduling, disruption management, and rolling updates

What You Will Do:

  • Design and implement services, APIs, and Kubernetes controllers using Go.
  • Contribute to systems that manage workload placement, lifecycle, and state across Kubernetes clusters.
  • Work with product managers and engineers to understand requirements and deliver reliable solutions.
  • Participate in technical design discussions and help evaluate implementation trade-offs.
  • Improve the reliability, scalability, observability, and maintainability of existing systems.
  • Write automated tests, documentation, and operational runbooks.
  • Participate in code reviews and provide constructive feedback to teammates.
  • Help investigate and resolve production issues as part of the team’s operational responsibilities.
  • Collaborate with partner teams across Confluent Cloud to support end-to-end platform functionality.

Requirements

  • Few years of professional software engineering experience, or equivalent practical experience.
  • Experience designing, implementing, and operating production software.
  • Proficiency in Go or a similar programming language, with the ability to learn Go.
  • Familiarity with Kubernetes concepts such as deployments, services, controllers, or operators.
  • Understanding of distributed systems, APIs, networking, or cloud infrastructure.
  • Experience with software testing, debugging, monitoring, and incident resolution.
  • Ability to break down moderately complex problems and deliver solutions with guidance from teammates.
  • Strong written and verbal communication skills.
  • A collaborative, thoughtful, and growth-oriented approach to engineering.

Preferred technical and professional experience

  • Experience building Kubernetes controllers or operators.
  • Experience with gRPC, Protobuf, or API design.
  • Experience working with AWS, GCP, Azure, or cloud-provider integrations.
  • Familiarity with multi-tenant systems or workload isolation.
  • Experience with observability tools and operational best practices.
  • Experience with containerized applications and Kubernetes-based platforms.
  • Exposure to scheduling, resource management, networking, or infrastructure automation.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About the company

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

4:56 min

Establishing internal service communication with gRPC

Florian Bader Florian Bader · World Congress 2026 Europe

10:40 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Stijn Polfliet · LIVE

7:44 min

Bootstrapping a test-driven asp.net web api

Alex Banul · LIVE

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

1:11 min

Evaluating architectural trade-offs between REST and gRPC

Sakshi Nasha Sakshi Nasha · Europe 2026 Virtual

Videos

See all

Related articles

See all