Client‐Facing Cloud Engineer (Go/Python) in London

Client‐Facing Cloud Engineer (Go/Python) in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Thought Machine

At a Glance

  • Tasks: Act as the technical interface with clients, delivering implementations and writing code in Python or Go.
  • Company: Join Thought Machine, a leader in cloud engineering with a focus on innovation.
  • Benefits: Enjoy flexible working hours, pension plans, and generous parental leave.
  • Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
  • Why this job: Make a real impact by working closely with clients and solving complex challenges.
  • Qualifications: Experience in Python or Go and familiarity with major cloud providers.

The predicted salary is between 60000 - 80000 £ per year.

Thought Machine is seeking a Forward Deployed Engineer to act as the primary technical interface with clients in the United Kingdom. This hands-on role involves embedding with client engineering teams, delivering implementations, and writing production-quality code primarily in Python or Go.

The ideal candidate should be comfortable working in complex environments and have strong experience with major cloud providers.

The position offers a highly competitive salary and an array of benefits including flexible working hours, pension plans, and generous parental leave.

Client‐Facing Cloud Engineer (Go/Python) 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 Client‐Facing Cloud Engineer (Go/Python) 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 Client‐Facing Cloud Engineer (Go/Python) in London

Python
Go
Cloud Computing
Client Engagement
Implementation Skills
Production-Quality Code
Complex Problem Solving

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.