Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Software Engineer II

Confluent, Inc
1 year ago
Applications closed

Related Jobs

View all jobs

Senior MLOps Engineer: AI-Driven Banking Platform

Senior Data Engineer

Applied Machine Learning Engineer

Applied Machine Learning Engineer

Scientific Data Scientist

Senior Data Engineer

Position at Confluent Europe Ltd.

With Confluent, organisations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organisation to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.

One Confluent. One team. One Data Streaming Platform.

Data Connects Us.

About the Role:

This new team is responsible for building our next-generation cloud-native Compute & Runtime Platform. You will design, architect, and build out our secure, multi-tenant, polyglot, Cloud-native Compute substrate to enable new business opportunities across Confluent Cloud (including Connect, kSQL/Flink, Kafka and more).

You are not confined to the status quo and you leverage your expertise in Cloud-native, large-scale distributed systems to help take our platform to the next level. You worry about key operational aspects (availability, reliability, performance, monitoring, emergency response, capacity planning, disaster recovery) of our new Compute & Runtime Platform, and you make sure that we have a highly-available, resilient, and secure offering that our largest customers can rely on for their mission-critical workloads. If you love the hum of big data systems, thinking about how to make them run as smoothly as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in.

We intend to be the world's best, fastest, and most complete stream processing service built by an excellent team, all while having fun solving challenging problems - come join us on the journey! 

What You Will Do:

Develop a high-availability architecture for the Cloud Management team, ensuring it is resilient, scalable, and can manage the lifecycle of the necessary resources efficiently You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems Independently drive execution of software projects to deliver new features or operational excellence in production with a focus on quality Troubleshoot issues and improve operations for complex technical stack that spans all the 3 clouds

What You Will Bring:

Strong software design and implementation skills in building infrastructure frameworks Expertise in building distributed systems Experience with one or more of these programming languages - Go, C++, Java, or Python Experience building and operating extensible, scalable, and resilient systems Familiarity with using Cloud Infrastructure Providers such as AWS, GCP, Azure and OCI Solid understanding of basic systems operations (disk, network, operating systems, Experienced with modern Agile methodologies, such as Scrum/Kanban Familiarity with CI/CD practices, Unit Testing, TDD and exposure to all parts of the SDLC Familiarity with Kubernetes or other similar Container orchestration platforms

What Gives You an Edge:

Knowledge of Apache Kafka Hands-on experience with Kubernetes operators, Helm, or StatefulSets Experience in app deployment and config management frameworks such as Ansible, Terraform, Chef, Puppet

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

Click to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.