DevOps Engineer

Location: Hybrid (Owings Mills, MD – 2 days onsite per week)
Duration: 12-month contract (potential extension up to 2 years)
Compensation: $55/hr – $63/hr W2

About the role

Our client is seeking a DevOps Engineer to join its Quant Analytics Platforms team within the Chief Data Office. This team is responsible for building and supporting the cloud-native infrastructure that powers quantitative research, investment, and trading platforms across global investment teams. The ideal candidate will have deep Kubernetes and AWS infrastructure experience, a strong Infrastructure-as-Code background, and a passion for automation, platform engineering, and operational excellence. This is an opportunity to contribute to a high-impact modernization initiative migrating infrastructure to Amazon EKS while helping scale the firm's enterprise analytics platform.

Responsibilities

• Build, automate, and maintain cloud-native infrastructure running on AWS.
• Support a large-scale modernization initiative migrating Kubernetes workloads to Amazon EKS.
• Develop Infrastructure as Code using Terraform, Terragrunt, and Helm.
• Build and optimize CI/CD pipelines using GitLab.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Configure and manage Kubernetes clusters and platform services.
• Implement monitoring, observability, and alerting using Prometheus, Grafana, AlertManager, OpenTelemetry, CloudWatch, and Splunk.
• Implement security best practices across cloud infrastructure and deployment pipelines.
• Troubleshoot production and non-production infrastructure issues.
• Collaborate with engineering teams to improve platform reliability, scalability, and developer productivity.
• Develop automation using Python and Shell scripting.
• Support distributed file storage platforms including Amazon EFS, NFS, and FSx.
• Participate in Agile ceremonies and contribute to continuous platform improvements.
• Research emerging technologies and recommend improvements to the platform.

Requirements

• 5 years of DevOps, Platform Engineering, or Cloud Infrastructure experience.
• Strong experience operationalizing cloud-native AWS environments at scale.
• Expert-level Kubernetes experience, including Amazon EKS.
• Strong Docker containerization experience.
• Hands-on experience with Terraform and/or Terragrunt.
• Experience using Helm for Kubernetes deployments.
• Experience building and maintaining CI/CD pipelines.
• Experience with Git, GitHub, and/or GitLab.
• Experience supporting distributed file storage technologies such as NFS, Amazon EFS, or Amazon FSx.
• Experience with AWS services including IAM, EC2, EBS, EFS, VPC, Route 53, CloudWatch, and CloudWatch Alerts.
• Experience implementing observability solutions using Prometheus, Grafana, AlertManager, OpenTelemetry, and/or Splunk.
• Experience with Python and Shell scripting.
• Strong troubleshooting and problem-solving skills.
• Excellent written and verbal communication skills.
• Strong attention to detail and ability to collaborate across engineering teams.
• Must be authorized to work in the U.S. (this position is not eligible for sponsorship).

Preferred Qualifications

• Working knowledge of financial markets and investment technologies.
• Experience supporting Front Office engineering teams within Asset Management, Hedge Funds, or Investment Banking.
• Experience with R or RStudio.
• Experience with Go.
• Experience supporting quantitative research or analytics platforms.
• Experience with enterprise modernization initiatives involving Kubernetes migrations.

Benefits

• Eligible for Health, Dental, Vision, and 401K benefits.