Cloud Engineer
AI in this role
About Winton
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.
How we rate this
Cloud Engineer at Winton rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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