At a Glance
- Tasks: Join our team to enhance internal infrastructure and automate operations with cutting-edge tech.
- Company: Leading global investment management firm based in London, managing over $228 billion in assets.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation and problem-solving.
- Why this job: Make a real impact on AI adoption and scalable platform features in a tech-driven company.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with Docker and Kubernetes.
The predicted salary is between 46000 - 50000 £ per year.
Requirements
- 5+ years of software engineering experience, with a strong focus on infrastructure or platform engineering.
- Strong production-level Python, including testing, typing, packaging, and dependency management; Bash for scripting.
- Solid Linux fundamentals and understanding of on-prem infrastructure, including networking, storage, and virtualization.
- Hands-on experience with Terraform and Ansible.
- Strong Docker and Kubernetes knowledge, including workload scheduling, configuration, and runtime resource access.
- Experience building CI/CD pipelines with Git Lab CI, Git Hub Actions, Jenkins, or similar tools.
- Experience with observability tools such as Prometheus, Grafana, and Open Telemetry.
- Good understanding of platform security: secrets management, IAM, network isolation, and dependency/supply-chain risks.
- Strong troubleshooting skills and experience diagnosing complex distributed system issues.
- Good communication and documentation skills; ability to collaborate with engineering and non-technical stakeholders.
- English B2+.
- Adaptability and strong problem-solving mindset.
- Ownership and attention to detail.
- Clear communication and effective cross-team collaboration.
- Ability to prioritize competing requests.
- User-focused approach to building internal platforms.
Responsibilities
- Work on our internal infrastructure platform.
- Work with engineering teams to identify recurring pain points and turn them into scalable platform features.
- Automate manual infrastructure operations and build reliable self-service workflows.
- Implement observability through metrics, structured logging, and alerting.
- Own platform production issues from troubleshooting and root cause analysis to permanent resolution.
- Manage and scale on-prem compute and storage infrastructure with performance and cost in mind.
- Embed security best practices, including secrets management, least-privilege access, dependency hygiene, and auditability.
- Evaluate new tools and technologies and contribute to the platform roadmap.
- Technologies
- AI
- Ansible
- Bash
- CI/CD
- Docker
- Git Hub
- Git Lab
- Grafana
- IAM
- Jenkins
- Kubernetes
- Linux
- Machine Learning
- Network
- Open Telemetry
- Prometheus
- Python
- Security
- Terraform
- More
Our client is a leading global investment management company headquartered in London.
It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide.
The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management.
Data science, machine learning, and AI are core components of its investment and research processes.
As part of our collaboration, we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.
- last updated 36 week of 2026
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Senior Platform Engineer Python employer: Intellias
As a Senior Python Engineer at our client, a leading global investment management company in London, you will thrive in a dynamic and innovative environment that prioritises technology-driven asset management. The firm offers exceptional benefits, a collaborative work culture, and ample opportunities for professional growth, ensuring that employees are equipped to excel in their roles while contributing to cutting-edge AI and data engineering projects. With a focus on secure and scalable AI adoption, this role provides a unique chance to work with large datasets and advanced technologies, making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Platform Engineer Python
✨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 Intellias 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 Intellias.
✨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 Intellias.
✨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 Intellias 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 Platform 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.
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 Intellias.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intellias 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 Intellias
✨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 Intellias 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.
