Join a technology-focused investment firm as a DevOps Engineer, helping build and scale the infrastructure behind a rapidly growing AI platform. You'll work across AWS, Kubernetes, Terraform, CI/CD, and automation to improve reliability and scalability. Partnering with engineering teams, you'll help build the systems, tooling, and deployment processes that support critical applications and data workloads in a fast-paced environment.
- 1-6 years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, or Cloud Engineering.
- Strong hands-on experience managing Kubernetes in production environments.
- Experience building, automating, and supporting AWS-based infrastructure.
- Proficiency with Infrastructure as Code tools, particularly Terraform.
- Experience designing and maintaining CI/CD pipelines and deployment automation.
- Strong scripting or programming skills in Python, Go, Bash, or similar languages.
- Solid understanding of Linux systems, containers, and cloud-native technologies.
- Experience supporting highly available production environments and distributed systems.
- Exposure to monitoring, observability, incident response, and troubleshooting production issues.
- Experience improving platform reliability, scalability, performance, and operational efficiency.
- Ability to partner closely with software and data engineering teams to support critical applications and workflows.
- Strong automation mindset with a focus on reducing operational overhead.
- Excellent communication and collaboration skills.
- Bachelor's degree in Computer Science, Engineering, or a related field preferred.
- Looking for candidates from asset management firms or trading firms.
Job ID PR/610979
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.
Whether that be Quantitative Analyti...
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