Senior Full Stack Engineer

Vortexa Ltd
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Full-Stack Software Engineer - £80-120k - London

Senior MLops (Full Stack) Engineer | London | Foundation Models

Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment

Senior MLops (Full Stack) Engineer | London | Foundation Models

[Urgent] Senior MLops (Full Stack) Engineer | London |Foundation Models in London - SoCode Recruitment

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

About Vortexa

Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, bringing transparency and efficiency to the energy markets and society as a whole.

The Challenge

Processing thousands of rich data points per second, massing terabytes of data, processing it in real-time, and delivering it through high performance queries and low-latency APIs, along with beautiful intuitive interfaces to customers around the globe, is no small feat of science and engineering. The high availability requirements of this robust system at scale is scrutinised by industry experts, data analysts and traders daily. The Application Development Team is responsible for delivering that data via applications, APIs, engineering pipelines, custom outbound services, external data integrations, while ensuring the strictest platform security and reliability is maintained.

We are looking for a talented engineer to join our fast paced and fast growing team to help take our SaaS platform to the next level. You will be responsible for the implementation of features, tools and applications which you will be able to own end-to-end, having a direct impact on client facing services built on the latest tech stack using modern working practices. This role will require exceptional programming skills and no matter where your strengths currently lie, we will invest in your professional development to ensure you have the broad skills and knowledge you need to further your skillset. This is an opportunity to join an exceptional close-knit team that regularly pushes the boundaries of technology to deliver a superior, frictionless experience to our customers – we are looking for a restless desire to build a stunning product.

You Are:

  • A senior full-stack engineer who is passionate about building elegant, scalable, and performant systems, and excited to make a difference in the energy and shipping industry.
  • Able to combine your deep understanding of software architecture and design patterns with your expertise in modern TypeScript and frameworks, to bring a level of craftsmanship, creativity, and innovation to cutting-edge projects.
  • Constantly seeking new ways to create intuitive, engaging, and impactful user interfaces, while also providing reliable and efficient APIs that enable seamless interactions between the platform and users.
  • Analytically minded and able to effectively communicate with both technical and non-technical audiences, with a strong drive to get things done.
  • A pragmatic problem-solver who consistently delivers high-quality results.
  • Driven by the challenge of learning and experimenting with new tools and techniques, and are never satisfied with the status quo.
  • A great communicator, a natural collaborator, and an all-around team player.
  • Relentless in your pursuit of excellence, you lead by example and inspire others to achieve great things.

Awesome If You:

  • Are proficient in Rust or a different typed language
  • Have built extensive data visualisations, APIs and ETL pipelines
  • Have experience working with AWS, ElasticSearch, Kafka, Postgres and Redis
  • Have experience with DevOps practices, including containerisation technologies, and automated testing

What We Offer:

  • A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge
  • A team of motivated characters and top minds striving to be the best at what we do at all times
  • Constantly learning and exploring new tools and technologies
  • Acting as company owners (all Vortexa staff have equity options)– in a business-savvy and responsible way
  • Motivated by being collaborative, working and achieving together
  • A flexible working policy- accommodating both remote & home working, with regular staff events
  • Private Health Insurance offered via Vitality to help you look after your physical health
  • Global Volunteering Policy to help you ‘do good’ and feel better

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.