At a Glance
- Tasks: Design and build infrastructure for real-time data processing and machine learning models.
- Company: Vortexa, a fast-growing tech company revolutionising the energy industry with AI.
- Benefits: Flexible working, private health insurance, and opportunities for global volunteering.
- Other info: Dynamic environment with a focus on continuous learning and career growth.
- Why this job: Join a team making a real impact on energy markets using cutting-edge technology.
- Qualifications: Fluent in Python, experienced in distributed systems and scalable data processing.
Vortexa is a fast-growing international technology business 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 seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole.
The Data Platform Team is responsible for all of Vortexa’s data, ranging from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modelling the global energy flows and tanker fleet distributions.
The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions.
You’ll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you’ll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines.
Key qualifications include:
- Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries.
- Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines.
- Experienced in building distributed heavy-load backend systems that can process terabytes of data daily.
- Passionate about coaching developers, helping them improve their skills and grow their careers.
- Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations.
- Experience in Rust / Java / Kotlin.
- Experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark – especially deployment, monitoring & debugging.
- Experience with productisation of Machine Learning research projects.
- Understanding of data lake systems and file formats like Parquet, Orc, Athena.
- Some relevant AWS or Kafka certifications.
- Constantly learning and exploring new tools and technologies.
We offer a flexible working policy accommodating both remote & home working, with regular staff events, private health insurance via Vitality, and a global volunteering policy to help you ‘do good’ and feel better.
Senior Software Engineer - Python/AI in London employer: Vortexa
Vortexa is an exceptional employer located in the heart of Greater London, offering a dynamic hybrid work environment that fosters collaboration and innovation. With a strong emphasis on employee growth and personal development, team members are encouraged to take on new challenges and drive impactful business initiatives. The vibrant company culture not only values individual contributions but also promotes a sense of community, making it a rewarding place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Python/AI in London
✨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 Vortexa 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 Vortexa.
✨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 Vortexa.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Vortexa that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer - Python/AI in London
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 Vortexa.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Vortexa 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 Vortexa
✨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 Vortexa 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.
