Summary
✨ AI‑Generated
A contract DevOps opportunity supporting cloud-native infrastructure for demanding analytical and financial workloads. You will work with Kubernetes and AWS, build Infrastructure-as-Code solutions, automate platform operations, and improve reliability and delivery processes. The position uses a hybrid work model and requires U.S. work authorization.
Highlights
Hybrid work arrangement, competitive hourly compensation, benefits eligibility, a 12-month contract with possible extension, and hands-on work with cloud-native infrastructure, automation, Kubernetes, and AWS.
Description
Apply now: DevOps Engineer, location is Owings Mills, MD.
The start date is ASAP for this 12-month contract position.
Job Title: DevOps Engineer
Location-Type: Hybrid (Owings Mills, MD - 2 Days Onsite Per Week)
Start Date Is: ASAP
Duration: 12-Month Contract (Potential Extension up to 2 Years)
Compensation Range: $55/hr - $63/hr W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S.
This position is not eligible for sponsorship
Job Description:
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.
Day-to-Day 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.Minimum 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.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.
