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- Tasks: Lead and inspire engineering teams to innovate in cyber security.
- Company: Join a rapidly growing industry leader in cyber security.
- Benefits: Enjoy a £110k salary, remote work, and generous personal development budget.
- Why this job: Make a real impact while working with cutting-edge technologies and a talented team.
- Qualifications: Experience with MERN stack and leading software engineering teams.
- Other info: Fully remote role with excellent career growth and a supportive culture.
The predicted salary is between 72000 - 88000 £ per year.
Pearson Carter are currently working with an industry leading cyber security platform that is looking to expand their development team even further. This company has grown at a rapid rate over the last 12 months!
Responsibilities include but aren’t limited to:
- Tech Leadership – Drive collaboration and performance across multiple engineering squads by fostering a culture of autonomy, accountability, and technical excellence. Support teams in architectural decisions and scaling best practices.
- Team Management – Conduct regular one‐on‐ones, define clear career development paths, and support engineers through mentorship, coaching, and feedback.
- Improve developer workflows and satisfaction by identifying bottlenecks through engineering metrics (e.g. PR throughput, CI speed, deployment frequency) and using tools like getDX to guide and drive measurable improvements.
- Lead the evaluation and integration of AI technologies across engineering. Experiment with and implement LLM‐based tools to enhance productivity (e.g. coding assistants, automated documentation/testing).
- Collaborate closely with Product, Content, and Data Science to plan, build, and release features that create meaningful impact for users.
- Build and develop a world‐class engineering team.
- Support the Head of Engineering.
Experience:
- Deep experience working with React, Node, TypeScript, MongoDB, Express (MERN Stack)
- Strong understanding of AWS and CI/CD pipelines
- Experience leading software engineering teams of up to 10 people, ideally across multiple squads or projects
- Comfortable working in ambiguous or complex problem spaces, with a high degree of ownership and autonomy
- Clear understanding of what makes a high‐performing engineering team, with the ability to foster and support that environment.
Salary
They offer an outstanding salary package: up to £110,000 with fully remote working and flexible working hours! £2,500 budget for personal development and training. Exceptional pension scheme. An annual company holiday paid for by the company. Health insurance – if in a country without public healthcare. Enhanced maternity and paternity package.
Location
This role is fully remote so you will be working from home 100% of the time.
How to Apply
Please apply asap with your CV to be considered for this position. You can also get in touch with me on abbey@pearsoncarter.com or 0191 406 6111.
Software Engineering Manager £110k Fully Remote Amazing benefits! in London employer: Pearson Carter
Contact Detail:
Pearson Carter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager £110k Fully Remote Amazing benefits! in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in cyber security. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving React, Node, and AWS. This is your chance to demonstrate your technical prowess and leadership experience, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions for software engineering managers. Think about how you’d foster a high-performing team and tackle complex problems. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join amazing teams in the tech world.
We think you need these skills to ace Software Engineering Manager £110k Fully Remote Amazing benefits! in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience, especially in tech environments, and any relevant projects you've led.
Showcase Your Technical Skills: Don’t forget to mention your expertise with the MERN stack and AWS. We want to see how you’ve used these technologies in past roles, so be specific about your contributions and achievements.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can drive collaboration and performance in our engineering teams. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s quick and easy, and we can’t wait to see your application!
How to prepare for a job interview at Pearson Carter
✨Know Your Tech Inside Out
Make sure you’re well-versed in the MERN stack and AWS. Brush up on your knowledge of React, Node, TypeScript, and MongoDB. Be ready to discuss how you've used these technologies in past projects and how they can be applied to improve developer workflows.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading software engineering teams. Talk about how you've fostered a culture of autonomy and accountability, and share specific instances where your mentorship made a difference in team performance.
✨Be Ready for Problem-Solving Scenarios
Expect to face complex problem scenarios during the interview. Think through how you would approach ambiguous situations and demonstrate your ability to drive collaboration across multiple squads. Use metrics to back up your strategies for improving team performance.
✨Discuss AI Integration Thoughtfully
Since the role involves evaluating and integrating AI technologies, come prepared with insights on LLM-based tools. Share your thoughts on how these can enhance productivity and provide examples of any relevant experience you have in this area.
