Senior Cloud SRE & DevOps Engineer

About this role

Company Overview

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.

Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.

At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.

Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.

Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.

Team Overview:

Reports To: Head of Cloud SRE & DevOps 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 & DevOps 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, DevOps, 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 DevOps and GitOps 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 Microsft SQLServer, Snowflake and AWS Aurora

CI/CD & DevOps Practices

Design and maintain CI/CD pipelines using tools such as GitHub Actions

Promote Git-based workflows and support GitOps practices (e.g., ArgoCD)

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 CloudWatch, Geneos, and LogicMonitor

Apply cloud security best practices, including IAM, secrets management, and vulnerability scanning

Support and optimize relational database systems (e.g., PostgreSQL, MySQL, 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

Improve developer experience through automation, standardization, and self-service capabilities

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…