At a Glance
- Tasks: Design and develop large-scale backend systems for a cutting-edge data streaming platform.
- Company: Join IBM Software, a leader in AI-powered, cloud-native solutions.
- Benefits: Competitive salary, health benefits, remote work options, and continuous learning opportunities.
- Other info: Collaborative culture focused on innovation and career growth.
- Why this job: Be part of a team that transforms data movement and impacts the future of technology.
- Qualifications: 6+ years in backend services, strong programming skills, and experience with distributed data stores.
The predicted salary is between 63000 - 77000 £ per year.
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
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. 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 datastores with a single self-serve platform.
Responsibilities
- 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
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- 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-paced platform team
- Strong engineering practices — code review, testing, documentation, and clear written and verbal communication
Preferred Technical And Professional Experience
- Familiarity with Kubernetes operators and controller patterns
- Event streaming experience — Kafka, event ordering, idempotency, and at-least/exactly-once delivery
Senior Software Developer II - Confluent Cloud Platform in Markham employer: IBM
IBM is an exceptional employer for a Senior AI Data Scientist, offering a dynamic work environment that fosters innovation and collaboration. With a strong emphasis on mentorship and professional growth, employees are encouraged to develop their skills while working on impactful AI projects that serve both public and private sectors. The flexible hybrid work model in the UK further enhances work-life balance, making IBM a desirable place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Developer II - Confluent Cloud Platform in Markham
✨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 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.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like IBM.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior Software Developer II - Confluent Cloud Platform in Markham
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.
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 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
✨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 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.
