AWS Cloud Engineer

Selby Jennings; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Selby Jennings is seeking a Cloud Engineer for a leading hedge fund client. You will design, build, and evolve cloud platforms powering large-scale modelling and data analysis.

Work with researchers and engineers to architect bespoke AWS environments, automate provisioning with IaC, and ensure secure, scalable, high-performance compute for rapid scientific and analytical innovation.

Qualifications

• Experience in cloud engineering or architecture with hands-on AWS
• Deep knowledge of AWS services including container orchestration, compute, storage, networking, monitoring, and identity/security
• Proven ability to design secure, resilient, and highly available cloud platforms for data-intensive or compute-heavy environments
• Familiar with DevOps and IaC tooling (Terraform), containerisation, Kubernetes, and cloud-native patterns
• Excellent troubleshooting, communication, and cross-team collaboration skills in fast-paced technical environments

Responsibilities

• Design and deploy tailored AWS architectures that support high-performance modelling, experimental workloads, and large-scale compute pipelines
• Collaborate closely with research, engineering, and data teams to build flexible, secure, and scalable cloud environments
• Ensure exceptional reliability, availability, and performance across compute, storage, orchestration, and monitoring layers
• Automate cloud provisioning, configuration, and observability using modern IaC and DevOps practices to accelerate development cycles
• Continuously refine and optimise cloud systems for scalability, cost-efficiency, operational simplicity, and long-term platform evolution

Skills

Cloud engineering

Architecture design

Automation

Collaboration

Tools

AWS

Terraform

Kubernetes

CloudFormation

Monitoring tools

Job description

Our client a quantitative and systematic hedge fund looking for a Cloud Engineer. This role sits within a globally distributed quantitative research and engineering organisation where you will design, build, and evolve advanced cloud platforms that power large-scale modelling, complex data analysis, and high-throughput experimentation. You will work directly with researchers and engineers to architect bespoke cloud environments, enabling rapid iteration, secure computation, and efficient scaling across a wide range of analytical workloads.

The ideal candidate is a highly skilled cloud engineer with deep architectural experience, a passion for automation, and a strong understanding of modern research-driven compute environments. You be comfortable owning end-to-end technical decisions, and enjoy building infrastructure that directly accelerates scientific and analytical innovation. This is a high-impact role for someone who thrives in technically demanding, fast-moving environments.

Responsibilities:

• Design and deploy tailored AWS architectures that support high-performance modelling, experimental workloads, and large-scale compute pipelines.
• Collaborate closely with research, engineering, and data teams to build flexible, secure, and scalable cloud environments aligned with demanding analytical requirements.
• Ensure exceptional reliability, availability, and performance across compute, storage, orchestration, and monitoring layers.
• Automate cloud provisioning, configuration, and observability using modern IaC and DevOps practices to accelerate development cycles
• Continuously refine and optimise cloud systems for scalability, cost-efficiency, operational simplicity, and long-term platform evolution.

Requirements:

• Previous experience in cloud engineering or architecture experience with strong hands-on expertise in AWS environments in either fiannce or techcnology based backgrounds.
• Deep understanding of core AWS services including container orchestration, compute, storage, networking, monitoring, and identity/security services.
• Proven ability to design secure, resilient, and highly available cloud platforms for data‑intensive or compute‑heavy environments.
• Strong familiarity with DevOps and IaC tooling (e.g., Terraform), containerisation, Kubernetes, and modern cloud-native patterns.
• Excellent troubleshooting, communication, and cross-team collaboration skills, with the ability to operate confidently in fast‑paced technical environments.