Lead DevOps Engineer

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. Join us as a Lead Dev Ops Engineer supporting low-latency trading infrastructure and business-critical financial systems across cloud and on-prem environments. This hands-on technical lead role focuses on designing, automating, and supporting highly available platforms in partnership with engineering, infrastructure, security, and operations teams.

It is an opportunity to improve reliability, scalability, security, and delivery while advancing Dev Ops, platform engineering, observability, and AI-enabled infrastructure tooling.

• Lead the design and evolution of scalable, secure, and highly available trading infrastructure.
• Provide technical direction, mentorship, and guidance to engineers while remaining an active hands-on contributor across Dev Ops, automation, infrastructure, and platform engineering initiatives.
• Build and improve automated CI/CD pipelines for Java and Python applications across multiple environments.
• Automate infrastructure provisioning, deployment, configuration, database schema creation, and operational workflows across cloud and on-prem platforms.
• Support production systems with a focus on high availability, disaster recovery, incident response, vulnerability management, patching, and change management.
• Containerize applications and support deployments using container orchestration platforms.
• Partner with development teams to understand application codebases and architecture, improving deployment, monitoring, and operational readiness.
• Use infrastructure as code and configuration management tools such as Terraform, Chef, or Ansible to drive consistency and repeatability.
• Troubleshoot complex deployment, performance, networking, and infrastructure issues, with an emphasis on preventing recurring manual fixes through automation.
• Use AI-assisted engineering tools to accelerate development, automation, troubleshooting, documentation, and operational workflows.
• Identify, design, and help implement AI-enabled operational capabilities for infrastructure automation, observability, incident response, and platform engineering.
• Contribute to the strategy for safe, practical, and secure adoption of AI across infrastructure and Dev Ops practices.
• Lead and participate in Agile delivery practices, using Jira to manage priorities, plan work, track delivery, communicate dependencies, and provide clear status across infrastructure and application initiatives.
• Collaborate with global teams, vendors, and stakeholders on support issues, release schedules, system administration needs, and platform improvements.
• Establish and promote best practices for CI/CD, observability, reliability, cloud operations, and infrastructure automation.

• Hands-on technical lead experience.
• Mentoring and guiding engineers.
• Agile delivery experience, including planning, prioritization, backlog refinement, sprint ceremonies, dependency management, and delivery tracking across distributed teams.
• Experience using Jira or similar tools.
• Strong communication skills and the ability to drive issues to resolution with technical and non-technical stakeholders.

• Linux/Unix administration, operational support, troubleshooting, and performance tuning.
• Scripting/programming in Python, Bash, or similar.
• CI/CD pipeline experience with Jenkins, Git Lab, or similar.
• Containerization and artifact publishing.
• Infrastructure as code and configuration management with Terraform, Ansible, Chef, or similar.

• Strong understanding of networking, routing, and traffic flow across distributed systems.
• Knowledge of high availability, resiliency, capacity, and latency considerations.
• Experience supporting customer-facing, low-latency, high-availability, or other business-critical platforms.
• Monitoring, logging, and observability experience, including tools such as Splunk or similar.
• Cross-functional collaboration with application, network, infrastructure, security, and operations teams.

• Kubernetes or other container orchestration platforms.
• AWS EKS is a plus.
• Hands-on AWS and hybrid cloud experience, including EC2, ALB, S3, RDS/Aurora, and EFS.
• Experience with cloud or hybrid hosting environments;
  Azure is a plus.

• Experience supporting financial systems, trading platforms, market data platforms, feeds, or similar low-latency infrastructure.
• Knowledge of unicast and multicast networking in low-latency or market data environments.

• Experience using AI-assisted engineering tools such as Git Hub Copilot, Cursor, or similar.
• Experience contributing to AI-enabled automation, operational workflows, or infrastructure strategy.

• Proven success working in a global, matrixed organization.
• Relevant certifications such as AWS Certified Dev Ops…