At a Glance
- Tasks: Build and manage cutting-edge internal infrastructure platforms while automating operations.
- Company: Leading global investment management firm based in London, managing over $228 billion in assets.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment focused on innovation and collaboration.
- Why this job: Join a tech-driven company and make a real impact on AI adoption and infrastructure.
- Qualifications: 5+ years in software engineering with strong Python and platform engineering skills.
The predicted salary is between 63000 - 77000 £ per year.
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.
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+.
- Personal Skills
- 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
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.
Senior Platform Engineer Python in London 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.
