At a Glance
- Tasks: Design and implement cloud-native services and APIs using Go for real-time data processing.
- Company: Join IBM, a leader in AI-powered, cloud-native solutions transforming business and society.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for continuous learning.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact by solving challenging problems in a collaborative environment.
- Qualifications: Experience in software engineering, proficiency in Go, and familiarity with Kubernetes.
The predicted salary is between 63000 - 77000 £ per year.
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
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.
- Required technical and professional expertise
- 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 g RPC, 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.
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Software Engineer - Cloud Compute Platform in London employer: IBM Computing
At IBM Consulting UK FutureNow, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. As a Hybrid Cloud & AI Delivery Lead, you will benefit from our commitment to employee growth through continuous learning opportunities and a supportive culture that values diverse perspectives. Located in the heart of the tech industry, our team enjoys access to cutting-edge resources and a vibrant community, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Cloud Compute Platform in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at IBM Computing or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to IBM Computing.
✨Tap into Online Developer Communities
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We think you need these skills to ace Software Engineer - Cloud Compute Platform in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at IBM Computing.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at IBM Computing and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at IBM Computing
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If IBM Computing uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
