Cloud Engineer

Winton

Greater London

On-site

GBP 60,000 - 95,000

Full time

14 days+

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Job summary

Winton in London is seeking an ambitious Cloud Engineer to expand our cloud environment, delivering scalable infrastructure and automated deployment for our execution systems, quantitative research platform, and data pipelines.

You will work in a cloud-first environment using AWS and Kubernetes, Terraform, Argo CD, Kyverno, and Prometheus to build reliable, cost-efficient solutions with a high degree of autonomy and cross-team collaboration.

Qualifications

  • 2+ years of experience in a similar role with hands-on AWS and Kubernetes

Responsibilities

  • Design, implement, and manage scalable cloud infrastructure to support various business divisions.
  • Collaborate with researchers to understand requirements and deliver cost-efficient solutions.
  • Ensure the security, reliability, and performance of cloud-based systems.
  • Automate deployment, monitoring, and maintenance processes to enhance operational efficiency.
  • Stay up to date with the latest cloud technologies and best practices

Skills

AWS
Kubernetes
Go programming
Grafana
Prometheus
Argo CD
Kyverno

Tools

Terraform
GitHub Actions

Job description

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.

We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.

We are seeking an ambitious, enthusiastic, and highly motivated Cloud Engineer to join our technology team. This is an exciting opportunity to be a key player in the expansion of our cloud environment, contributing to the development of our execution systems, quantitative research platform, data ingestion pipelines, and post-trade applications. This hands-on role offers a unique chance to work with the latest cloud technologies and provides a high degree of autonomy and ownership in delivering impactful solutions to the business. If you are passionate about cloud technologies and eager to take on a challenging role with a high degree of autonomy and ownership, we would love to hear from you.

Our Technology

Operating in a cloud-first environment, we deploy containerised workloads to AWS through managed Kubernetes and scale on-demand to satisfy burstable workloads. Other managed services we use in AWS include EMR, RDS, MSK and bespoke EC2 solutions. All infrastructure is managed through Terraform, our source code is in GitHub and automation through GH actions.

Your responsibilities will include:

  • Design, implement, and manage scalable cloud infrastructure to support various business divisions.
  • Collaborate with researchers and other stakeholders to understand their requirements and deliver tailored solutions, with a keen eye on cost efficiency
  • Ensure the security, reliability, and performance of cloud-based systems.
  • Automate deployment, monitoring, and maintenance processes to enhance operational efficiency.
  • Stay up to date with the latest cloud technologies and best practices

What we are looking for:

  • 2+ years of experience in a similar role, with hands-on experience in AWS and Kubernetes.
  • Strong belief in the ‘Infrastructure as code’ mind-set and a solid understanding of Terraform.
  • Experience with CNCF technologies such as Argo CD, Kyverno and Prometheus.
  • Proficient with Grafana to monitor and alert on critical systems
  • Excellent problem-solving skills and the ability to work independently.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.

What Would Be Useful:

  • AWS Certified Solutions Architect, CNCF certificate(s) or similar
  • Knowledge of the Go Programming and understanding of Kubernetes operators
  • Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
  • Experience of automation through GitHub Actions or similar
Equal Opportunity Workplace

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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