Senior Software Engineer - Confluent Cloud Infrastructure & Platform

IBM; Markham; On-site; GBP 90,000 - 130,000; Full time

Job summary

IBM Software in the United Kingdom is seeking a Senior Engineer to own AI-assisted developer productivity workflows end-to-end. You will design, implement, and operate backend services connecting LLMs to developer tools (GitHub, Jira, Slack) to raise velocity and quality.

You will collaborate with product and platform teams, translate engineering challenges into practical products, and uphold strong testing, security, and governance standards while measuring adoption and cost.

Qualifications

• Experience building and operating backend production systems.
• Hands-on experience applying LLM techniques to software engineering workflows.

Responsibilities

• Design and operate AI-assisted workflows for code review, test generation, and CI guardrails.
• Own projects end-to-end from definition to deployment and optimization.
• Build backend services connecting LLMs to developer tools (GitHub, Jira, Slack).
• Translate engineering challenges into practical, opinionated products that improve velocity and quality.
• Collaborate with platform teams to integrate AI workflows into runtimes and deployment paths.
• Implement robust safety, governance, and observability.

Skills

Go

Backend development

LLM techniques

Cloud-native

Kubernetes

Distributed systems

CI/CD

GitHub integration

Education

Master's Degree in Computer Science or related field

Tools

GitHub

Jira

Slack

Kubernetes

Job description

Introduction

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.

Your Role And Responsibilities

Engineers in the Developer Productivity team build applied AI systems to improve how Confluent engineers design, implement, review, test, document, and operate software. You will turn AI into reliable engineering workflows for AI-automated implementation, developer toil reduction, PR review, documentation generation, and CI guardrails. As a Senior Engineer, you will own these workflows end-to-end: identifying pain points, designing AI-enabled solutions, shipping to production, measuring impact, and iterating until they become trusted, paved paths. You will partner with product, platform, and infrastructure teams to make AI-assisted workflows the default standard at Confluent.

What You Will Do

• Design and operate AI-assisted workflows for code review, ticket-to-PR flows, documentation, testing infrastructure and CI/CD guardrails.
• Own projects end-to-end: from definition and design to implementation, rollout, and optimization.
• Build backend services and orchestration layers connecting LLMs to developer systems (GitHub, Jira, Slack, CI, and internal platforms).
• Translate ambiguous engineering challenges into practical, opinionated products that improve developer velocity and quality.
• Collaborate with platform teams to integrate AI workflows into standard runtimes, managed workloads, and deployment paths.
• Implement robust safety and governance, including access control, policy enforcement, and observability.
• Use data-driven metrics—adoption, reliability, and cost to guide product iterations rather than anecdotal feedback.
• Maintain high engineering standards through clean, well-tested code and thoughtful design reviews.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Experience building and operating backend production systems.
• Expert in at least Golang paved paths.
• Experience building internal developer-facing platforms or workflow automation tools.
• Hands-on experience applying LLM techniques to software engineering workflows; ability to build reliable systems beyond generic prompting.
• Experience with cloud-native infrastructure, including containers and Kubernetes.
• Strong judgment on software quality, testing strategies, and operational guardrails.
• Product mindset: focus on user adoption, time-saving, and quality improvements.
• Effective collaboration skills across cross-functional boundaries

Preferred Technical And Professional Experience

• Experience building AI-assisted workflows for code review, test generation, incident response, or developer onboarding.
• Proficiency in at least one major language (e.g., Java, Go, Python).
• Integrating systems with developer tools (source control, CI, issue trackers, chat tools, internal portals).
• Familiarity with platform foundations like service runtimes, progressive delivery, and configuration systems.
• Expertise in distributed systems, developer productivity, or infrastructure-heavy environments.
• Experience creating opinionated paved paths and governance models.