As Lead DevOps Engineer, you will shape and guide the design of scalable, high-availability trading infrastructure across cloud and on-prem environments. You will work closely with engineering, security, and operations to advance DevOps, platform engineering, and observability, while hands-on contributing to automation and deployment improvements. This role focuses on reliable, secure delivery of business-critical systems and enables AI-assisted tooling to accelerate engineering and operations. You will lead cross-functional initiatives and mentor engineers, delivering impact at scale in a global setting.
Pay / Benefits
Hybrid work arrangement (BI-labeled)
Collaboration across global teams
Focus on innovation and AI-enabled tooling
Career development and mentorship culture
Inclusive and supportive workplace
Industry-relevant certifications considered a plus
Responsibilities
Design and evolve scalable, secure trading infrastructure
Provide technical direction and hands-on contribution across DevOps and platform engineering
Build and improve automated CI/CD pipelines for Java and Python applications
Automate provisioning, deployment, configuration, and operational workflows across cloud and on-prem
Support production systems with high availability, DR, incident response, vulnerability management, and change management
Containerize applications and manage deployments with orchestration platforms
Partner with development teams to improve deployment, monitoring, and readiness
Use infrastructure as code and configuration management tools (Terraform, Chef, Ansible)
Troubleshoot complex deployment/infra issues to prevent recurrence via automation
Leverage AI-assisted engineering tools to accelerate automation and workflows
Identify and implement AI-enabled operational capabilities for automation and observability
Contribute to safe, secure adoption of AI across practices
Lead and participate in Agile delivery with Jira, managing priorities and status
Collaborate with global teams, vendors, and stakeholders on releases and platform improvements
Establish best practices for CI/CD, observability, cloud operations, and automation
Key requirements
Hands-on technical lead experience
Agile delivery experience with Jira or similar
Strong communication with technical and non-technical stakeholders
Linux/Unix administration and performance tuning
Scripting in Python, Bash, or similar
CI/CD experience with Jenkins, GitLab, or similar
Containerization and artifact publishing
Infrastructure as code with Terraform, Ansible, Chef, or similar
Networking knowledge for distributed systems
Observability tools experience (e.g., Splunk)
Kubernetes or other container orchestration; AWS EKS is a plus
AWS and hybrid cloud experience (EC2, ALB, S3, RDS/Aurora, EFS)
Financial/trading systems or low-latency infrastructure experience
AI-assisted tooling experience (GitHub Copilot, Cursor) is a plus
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