Senior Cloud SRE & DevOps Engineer in London

Senior Cloud SRE & DevOps Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our Cloud SRE & DevOps team to build and operate cutting-edge cloud infrastructure.
  • Company: Soros Fund Management, a leader in global asset management with a mission for social impact.
  • Benefits: Competitive salary, year-end bonus, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Make a real difference by supporting systems that drive justice and democracy worldwide.
  • Qualifications: Experience in AWS, Kubernetes, and CI/CD practices; strong problem-solving skills required.

The predicted salary is between 63000 - 77000 £ per year.

Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970.

With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy.

  • Team Overview
  • Reports To: Head of Cloud SRE & Dev Ops Engineering
  • Other Key Relationships: Cybersecurity analysts, Software Development engineers
  • Job Overview

We are seeking a mid‑to‑senior level engineer to join our Cloud SRE & Dev Ops Engineering team in London, focused on building, operating, and evolving the cloud infrastructure and delivery platforms that support our trading and investment systems.

This role sits at the intersection of Cloud Engineering, SRE, Dev Ops, Platform Engineering, and Production Engineering, and is designed for individuals who take ownership of systems running in production.

You will be responsible for designing and operating resilient, scalable environments across AWS and Kubernetes, while enabling engineering teams through modern Dev Ops and Git Ops practices.

The position reflects a strong Site Reliability Engineering (SRE) mentality, with emphasis on reliability, observability, automation, and operational excellence.

You will play a key role in advancing the firm’s cloud transformation strategy, ensuring systems are built for performance, stability, and scale.

This is a hands‑on role requiring deep technical expertise, accountability for production systems, and a mindset oriented toward continuous improvement, risk management, and engineering efficiency.

The role also contributes to evolving platform capabilities supporting AI and data‑driven workloads.

You will work closely with software engineering, cybersecurity, and data teams to deliver secure, scalable, and high‑performing systems, while improving developer experience and platform maturity across the organization.

  • Major Responsibilities
  • Cloud Infrastructure & Kubernetes
  • Design, build, and operate scalable AWS‑based infrastructure supporting trading systems
  • Work across hybrid or multi‑cloud environments (AWS and Azure)
  • Manage and optimize Kubernetes environments (EKS), ensuring resilience, scalability, and performance
  • Utilize Kubernetes ecosystem tooling (e. g., Helm) to support application deployment and lifecycle management
  • Develop reusable infrastructure using Terraform and infrastructure as code principles
  • Database Cloud Management & Administration
  • Manage the automated delivery of Snowflake configurations through CICD pipelines
  • Help administration of Microsoft SQL Server, Snowflake and AWS Aurora
  • CI/CD & Dev Ops Practices
  • Design and maintain CI/CD pipelines using tools such as Git Hub Actions
  • Promote Git‑based workflows and support Git Ops practices (e. g., Argo CD)
  • Improve deployment reliability, consistency, and engineering velocity
  • Production Engineering & Reliability
  • Own and operate business‑critical production systems with a strong focus on uptime, performance, and risk mitigation
  • Troubleshoot and resolve complex issues across distributed systems, cloud infrastructure, and Kubernetes environments
  • Implement and enhance monitoring, logging, and alerting using tools such as Datadog, AWS Cloud Watch, Geneos, and Logic Monitor
  • Apply cloud security best practices, including IAM, secrets management, and vulnerability scanning
  • Support and optimize relational database systems (e. g., Postgre SQL, My SQL, SQL Server, Aurora), ensuring performance and high availability
  • Contribute to backup, recovery, and resilience strategies across infrastructure and data layers
  • Drive improvements aligned with SRE principles, including reliability, observability, and operational maturity
  • Developer Enablement
  • Partner with engineering teams to streamline development and deployment workflows
  • AI & Emerging Workloads
  • Support infrastructure for AI/ML and data‑driven workloads, including scalable compute and data processing patterns
  • Enable deployment patterns for modern, data‑intensive applications
  • Evaluate emerging technologies relevant to AI‑enabled platforms
  • What We’re Looking For
  • Core Technical Expertise
  • Strong hands‑on experience with AWS in production environments
  • Experience working in hybrid or multi‑cloud environments (AWS and Azure)
  • Deep experience with Kubernetes and containerized systems (Docker, EKS)
  • Strong familiarity with Kubernetes tooling, including Helm
  • Proven Experience With Infrastructure As Code (Terraform Preferred)
  • Strong experience building and managing CI/CD pipelines (Git Hub Actions or similar)
  • Proficiency in Python, Shell, or Power Shell for automation
  • Production & Systems Engineering
  • Strong understanding of distributed systems, networking, and cloud architecture
  • Experience operating and supporting production systems with high availability and performance requirements
  • Experience diagnosing and resolving complex production incidents in distributed environments
  • Experience supporting relational databases (e. g., Postgre SQL, My SQL, SQL Server, Aurora) in cloud environments
  • Monitoring & Observability
  • Hands‑on experience with observability tools such as Datadog, AWS Cloud Watch, Geneos, or Logic Monitor
  • Experience designing metrics, alerts, and dashboards for production systems
  • Dev Ops & Engineering Practices
  • Strong grounding in Dev Ops methodologies, including automation, continuous delivery, and infrastructure standardization
  • Experience working with Git‑based workflows and modern software engineering practices
  • Ability to balance speed, stability, and risk in production environments
  • Professional Attributes
  • Strong analytical and troubleshooting skills
  • Ability to operate effectively in high‑performance, time‑sensitive environments
  • Clear communication across technical and non‑technical stakeholders
  • Ownership mindset with accountability for critical systems
  • Nice To Have
  • AI & Data
  • Experience supporting AI/ML workloads or data platforms
  • Familiarity with LLM APIs, vector databases, or GPU‑based environments
  • Exposure to modern data platforms such as Databricks, Google Big Query, or Amazon Redshift
  • Financial Services
  • Experience supporting trading or investment systems
  • Understanding of trading workflows (OMS, order entry, trade booking), market data, or FIX protocol
  • What We Value
  • Bachelor's degree in Engineering, Computer Science, Information Systems, or equivalent experience
  • Hands‑on experience with cloud platforms such as AWS, Azure, and Snowflake, with a solid understanding of Iaa S, Paa S, and Saa S in hybrid environments
  • Experience in cloud infrastructure or server‑side development, with a fundamental understanding of containerization and Kubernetes
  • Proficiency in programming languages like Power Shell and Python, with experience in Dev Ops tools such as Terraform, Docker, and Kubernetes
  • Deep understanding of CI/CD tools (e. g., Octopus, Bamboo, Azure Dev Ops, Git Actions) and configuration management
  • Expertise in automation scripting, infrastructure as code (Ia C), and immutable infrastructure using tools like AWS Cloud Formation or Terraform
  • Familiarity with observability frameworks (Data Dog, Open Search, and Logic Monitor)
  • Familiarity with networking, storage, and database concepts
  • Ability to craft clear, effective communications for both technical and non‑technical audiences
  • Strong analytical and troubleshooting skills, attention to detail, ability to multitask, and work effectively in a fast‑paced environment
  • Proficiency in writing scripts using Python, Power Shell, Bash, and experience with technologies like Docker, Lambda functions, and Kubernetes
  • Hands‑on experience with Terraform, Packer, Git, and Jira is considered a plus
  • Integration with JIRA and Git Hub is a plus
  • Experience in designing, developing, and implementing ETL/ELT processes using Snowflake and related technologies

In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year‑end bonus.

In all respects, candidates need to reflect the following SFM core values: Integrity, Teamwork, Smart risk‑taking, Owner’s Mindset, Humility.

Discover how SFM continues to drive impactful investments and supports the global mission of the Open Society Foundations.

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Senior Cloud SRE & DevOps Engineer in London employer: Soros Fund Management

Soros Fund Management LLC (SFM) is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. With a strong emphasis on professional development, employees are encouraged to take ownership of their roles and contribute to meaningful projects that align with the firm's mission of advancing justice and human rights. The culture at SFM fosters continuous growth, allowing team members to push boundaries and engage in constructive debate, all while enjoying the benefits of competitive compensation and a commitment to social responsibility.

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Contact Details:

Soros Fund Management Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Cloud SRE & DevOps Engineer 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 Soros Fund Management 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

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We think you need these skills to ace Senior Cloud SRE & DevOps Engineer in London

AWS
Kubernetes
Terraform
CI/CD Pipelines
GitHub Actions
Python
Shell Scripting

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 Soros Fund Management.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Soros Fund Management 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 Soros Fund Management

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 Soros Fund Management 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.