At a Glance
- Tasks: Design and maintain scalable infrastructure automation systems for algorithmic trading.
- Company: Join Morgan Stanley, a leader in financial services with a commitment to diversity.
- Benefits: Enjoy flexible working, comprehensive health benefits, and career growth opportunities.
- Other info: Embrace a culture of continuous improvement and work-life balance.
- Why this job: Lead innovative projects and mentor the next generation of engineers in a dynamic environment.
- Qualifications: Advanced Python skills and experience in Linux-based systems are essential.
The predicted salary is between 80000 - 100000 £ per year.
We're seeking a Lead Infrastructure Engineer covering designing, building and maintaining robust, resilient and scalable infrastructure automation systems at Vice President level.
Key Responsibilities
- Design, implement and support new infrastructure solutions to enable our algorithmic trading business to operate efficiently, effectively and compliantly.
- Collaborate closely with business‑facing development groups, system administrators and enterprise infrastructure engineers to implement and maintain solutions that reduce costs and manage technology risk.
- Act as a subject‑matter expert for our Linux‑based electronic trading infrastructure platform.
- Mentor, coach and lead less experienced engineers.
- Provide technical leadership and vision for a small business‑aligned team of engineers and SREs.
- Drive the continuous improvement of our infrastructure and working practices through regular reviews, blameless port‑mortems and other SRE techniques.
Qualifications
- Advanced knowledge of Python and standard software‑engineering concepts (data structures, regular expressions, OOP, advanced algorithms).
- Strong understanding of core Unix components – networking stack, daemon configuration, OS customisation.
- Experience architecting large‑scale, robust, resilient and scalable systems.
- Domain expertise in infrastructure automation and integration.
- Ability to describe algorithmic and architectural trade‑offs in an algebraic or quantitative fashion.
- Comfortable developing in a Linux and CLI‑based environment.
- Knowledge of Linux command‑line debugging tools such as tcpdump and strace.
- Familiarity with modern development tools and practices – agentic workflows, Git, Jenkins, test‑driven development and continuous integration.
- Full‑lifecycle ownership of components from architecture design to ongoing support.
- Proven technical‑leadership track record, working independently on technical problems and customer interactions.
- Experience mentoring and leading less experienced engineers.
- Familiarity with Go is a plus.
Benefits & Expectations
- Access to comprehensive employee benefits including health, dental and retirement plans.
- Flexible working arrangements and hybrid work options.
- Opportunities for career growth and cross‑business mobility.
- Support for work‑life balance and employee wellbeing.
Morgan Stanley is an equal‑opportunity employer committed to building and maintaining a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or veteran status.
Lead Infrastructure Engineer (Python) employer: 96 Morgan Stanley UK Ltd
Morgan Stanley is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead. With a strong focus on employee wellbeing, flexible working arrangements, and comprehensive benefits, we foster a culture of collaboration and continuous improvement. As a Lead Infrastructure Engineer, you will have the opportunity to mentor and grow alongside talented professionals while contributing to cutting-edge infrastructure solutions in the heart of the financial sector.
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We think you need these skills to ace Lead Infrastructure Engineer (Python)
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.
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How to prepare for a job interview at 96 Morgan Stanley UK Ltd
✨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 96 Morgan Stanley UK Ltd 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.
