Senior Engineer Network Project in London

Senior Engineer Network Project in London

London Full-Time Home office (partial)
Thought Machine

At a Glance

  • Tasks: Lead the development of innovative banking technology and ensure high-quality code delivery.
  • Company: Join a top-rated fintech company transforming the banking industry with modern tech.
  • Benefits: Enjoy competitive salary, generous leave, flexible hours, and excellent learning opportunities.
  • Other info: Inclusive workplace culture with support for diverse abilities and backgrounds.
  • Why this job: Be part of a mission to revolutionise banking and work with cutting-edge technologies.
  • Qualifications: 6+ years in software engineering, experience with Python or Golang, and cloud knowledge.

Thought Machine’s mission is bold – to properly and permanently rid the world’s banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology.

Back End Engineering is a key role within Thought Machine as Back End Engineers lead the development of Thought Machine’s Vault product. We pride ourselves in excellence in this role, adopting the best practices in continuous deployment monorepo style development.

While development at Thought Machine is fast paced, you will be expected to develop code to a high standard and production ready state. Responsibilities include:

  • Write automated unit tests, integrate tests, etc.
  • Managing and debugging your deployments from testing environments all the way to production.

Requirements:

  • 6+ years of experience as a Software Engineer.
  • Experience with either Python or Golang.
  • Interest in working on client-facing projects, conducting scoping and defining deliverables.
  • Knowledge of banking / finance.
  • Experience with AWS or other cloud providers.
  • Familiar with databases (SQL or noSQL).
  • Experience with client/server software architectures & networking, or microservice architectures.

We offer a highly competitive salary and benefits including:

  • Pension plan (match up to 5%)
  • Life insurance - three times annual salary
  • Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid)
  • Shared parental leave (matched to our maternity leave for the same point in time)
  • 25 days holiday and bank holidays
  • Flexible working hours
  • Cycle-to-work scheme
  • Electric car scheme
  • Season ticket loan
  • Access to outstanding learning materials and courses
  • Sports and hobby clubs, subsidised by Thought Machine
  • Start the day properly with fresh fruit and cereals
  • Weekly food pop-up

We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

Senior Engineer Network Project in London employer: Thought Machine

Thought Machine is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, the company provides ample opportunities for professional development while ensuring a healthy work-life balance through flexible working hours and comprehensive benefits. Located in the UK, Thought Machine stands out for its commitment to empowering engineers to work closely with clients, making a tangible impact in the cloud technology space.

Thought Machine

Contact Details:

Thought Machine Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Engineer Network Project 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 Thought Machine 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 Thought Machine.

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 Thought Machine.

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 Thought Machine 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 Engineer Network Project in London

Python
Golang
Cloud Computing (AWS or other cloud providers)
Database Management (SQL or noSQL)
Client/Server Software Architectures
Microservice Architectures
Automated Testing (unit tests, integration tests)

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 Thought Machine.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Thought Machine 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 Thought Machine

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 Thought Machine 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.