Senior Software Engineer II

Confluent, Inc
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Data Science Practitioner

Lead Data Engineer

Senior Machine Learning Scientist

Senior Data Engineer

Full Stack 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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.