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

Apply Now

Software Engineer

Zenobē
London
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Data Engineer - DV

Senior Software Engineer - Data Engineering Team

Principle Data Engineer in Nottingham - Commify

Senior Data Engineer - Scala/Spark

Senior Data Engineer / Trading Software Engineer, Autobidder

Head over to our main website to hear more about our story

ABOUT ZENOBE

Our goal is to make clean power accessible, to accelerate the shift to zero carbon power and transport.

We’re building and operating the world’s most sophisticated battery systems to enable the uptake of more renewable power and accelerating fleet electrification, de-risking the transition to zero-emission transport at scale. We’ve been consistently innovative since we were founded in 2017, achieving major industry firsts and using proprietary software and data analysis to optimise operational performance for our customers. At the end of their life, we repurpose electric vehicle batteries to provide clean power at depots, on construction sites and film sets.

Today we have 730 MW of grid scale battery storage operational and under construction and are the largest owner and operator of EV buses in the UK, Australia and New Zealand, supporting over 1,000 electric vehicles worldwide. In our first five years we have raised nearly £1.8 billion in funding and have expanded into other markets such as the US. Our rapidly growing company is looking for highly talented and motivated people to join us.

THE OPPORTUNITY

Join a dynamic team where impact and value delivery are at the heart of everything we do. As a Software Engineer, you’ll collaborate in an agile development environment, building a high-trust, collaborative team culture where everyone can thrive. You’ll be responsible for designing reliable, secure, and scalable software components, with a focus on clean, maintainable code and best practices. Your role will involve simplifying complex problems, innovating where it adds value, and contributing to the growth of the engineering community. You'll use data to drive decisions and embrace fast feedback loops, fostering a culture of continuous learning and improvement. This is a fast-paced, innovative environment that champions collaboration and a pioneering spirit.

With hands-on experience across the SDLC, CI/CD pipelines, and a variety of technologies including AWS, Python, Node.js, and Kubernetes, you'll be integral to delivering high-quality solutions. This role requires excellent communication, problem-solving skills, and a passion for building efficient systems that add real value to customers and the business.

A TASTE OF THE DAY TO DAY

Culture

  • Focused on impact and value delivery to customers and the business.
  • Collaborate with your agile development team to optimize for team success.
  • Build a high-trust, collaborative environment where team members can perform at their best.
  • Create fast feedback loops and embrace failure as a learning opportunity.
  • Champions the organisations values and support our engineering community (Pioneering & Agile, Dependable, Collaborative).
  • Comfortable experimenting with new approaches, learning, owning the outcomes, and sharing what was learned.
  • Use data to measure outcomes and to inform decisions.
  • Comfortable working in a fast-paced environment.

Technology

  • Able to design software components which are reliable, maintainable, secure, scalable and extensible.
  • Ability to simplify complex problems into clean code and tests which are easy to understand.
  • Provide high code quality in code reviews encouraging best practice, standards and foster a growth culture.
  • Good communications, problem solving and root cause analysis skills.
  • Deep knowledge of my primary programming language and development environment and a strong grasp of the idioms and patterns of my language.
  • Leverage strong knowledge of libraries, platforms, and systems to apply them expertly.
  • Ability to implement secure coding practices, threat modelling, and data protection.
  • Innovate where it adds customer value and standardise where it doesn’t.
  • Build tools and create technical documentation to improve developer efficiency and align the team.

Health and Safety

  • Actively contribute to Zenobe's commitment to health and safety, wellbeing and sustainability by; integrating these principles into daily responsibilities, ensuring a safe and supportive work environment, promoting both the physical and mental health of self and colleagues, and adopting sustainable and energy-efficient practices to minimize environmental impact. By doing so, each employee at Zenobe plays a vital role in fostering a culture that prioritises overall safety, holistic wellbeing, environmental sustainability in our business operations.

WHATWE’RE LOOKING FOR

We realise that certain groups of people are less likely to apply for a role if they don’t meet 100% of the job requirements. To be absolutely clear: if you like the look of this job and think you could do it well, we encourage you to apply with a CV that highlights your transferable skills and experience. Above all, Zenobē is looking for collaborative, flexible, empathetic people who are interested in creating and promoting practical routes to a zero carbon world.

Key Experience:

  • Must have hands-on experience as a Software Engineer in a cross-functional team.
  • Must have experience using Agile/Lean techniques.
  • Must have experience across the entire Software Development Life Cycle (SDLC) and with Continuous Integration and Continuous Delivery (CI/CD).
  • Must have experience working in fully remote teams.
  • Must have experience with some of the following: AWS, Python, Node.js, Typescript, Javascript, Streaming Architectures, Data Lakes, Kubernetes, Serverless, Microservices.
  • Should have experience with CDK, Terraform, or other IAC tooling.
  • Should be familiar with Git, Slack, MS Office.
  • Should have experience with TDD, DevSecOps, and ADRs.
  • Could have familiarity with Big Data, Machine Learning, and AI.
  • Must have excellent verbal and written communication skills.

Requirements

  • Must be comfortable taking part in out of hours on call support rota
  • Must be able to travel in the UK up to once a month

WORKING AT ZENOBE

We’re passionate about sustainability and are proud to offer Team Zenobē a pioneering and collaborative working environment. We encourage our people to take ownership of their career progression and celebrate those that can think outside the box.

If you’d like to join our community of likeminded people hit the apply button now, we’d love to hear from you!

WHAT WE OFFER

Charge your career at Zenobē and receive

  • Up to 25% annual bonus for being awesome
  • 25 days holiday, plus bank holidays
  • Private Medical Insurance
  • £1,500 training budget per year, to ensure you grow as we do
  • EV Salary Sacrifice Scheme
  • Pension scheme, up to 8% matched contributions
  • Enhanced parental leave
  • Cash back health plan
  • Plus more

Lots of our people work flexibly in many different ways, including part-time, flexitime and hybrid working. We can’t promise to give you exactly what you want, but please talk to us about the flexibility you need and let’s see how we can make it work.

OUR APPROACH TO DIVERSITY AND INCLUSION

Our people are our strongest asset and the key determinant of our success, and we value a range of skillsets and perspectives. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We work to provide equal opportunities and an inclusive work environment, where everyone is fairly treated in the application process and through their career at Zenobē. If there are any adjustments that would help improve your experience with Zenobē, please let us know when you apply.

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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.