Lead DevOps Engineer

Broadridge; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Global collaboration

Job summary

Broadridge seeks a Lead DevOps Engineer to shape and support low-latency trading infrastructure across cloud and on-prem environments. You will drive automation, platform reliability, and scale, partnering with engineering, security, and operations teams.

You will advance DevOps practices, observability, and AI-enabled tooling, while mentoring engineers and delivering high-availability solutions in a global, agile setting.

Qualifications

• Hands-on DevOps leadership with cloud and on-prem experience.
• Strong expertise in Linux/Unix administration and scripting.
• Proven ability to design and automate scalable CI/CD pipelines.

Responsibilities

• Lead design and evolution of trading infrastructure, ensuring high availability and security.
• Mentor engineers while contributing hands-on across DevOps and platform engineering.
• Build and improve CI/CD pipelines for Java and Python across environments.

Skills

Linux/Unix

Python

Bash

CI/CD

Terraform

Ansible

Chef

Docker

Kubernetes

AWS

GIT/GitLab

Tools

Jenkins

GitLab

Docker Registry

Job description

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 DevOps 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 DevOps, platform engineering, observability, and AI-enabled infrastructure tooling.

Responsibilities

• 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 DevOps, 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 DevOps 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.

Requirements

Leadership & Delivery

• 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.

Systems & Automation

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

Infrastructure & Operations

• 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.

Cloud & Containers

• 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.

Domain Experience

• 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.

Modern Tooling

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

Additional

• Proven success working in a global, matrixed organization.
• Relevant certifications such as AWS Certified DevOps Engineer, AWS Solutions Architect, Certified Kubernetes Administrator, Terraform Associate, RHCE, PSM, CSM, or ITIL are a plus.

Technology Environment

• Cloud and Infrastructure: AWS, Azure, EKS, EC2, ALB, S3, RDS/Aurora, EFS, hybrid hosting
• Automation and Infrastructure as Code: Terraform, Chef, Ansible, Bash, Python
• Containers and Orchestration: Docker and other container platforms; Kubernetes and EKS exposure preferred
• CI/CD and Source Control: Jenkins, GitLab, Git
• Monitoring and Operations: Splunk or equivalent observability tools
• AI-Enabled Engineering: AI-assisted development tools, AI-enabled operational workflows, and AI infrastructure strategy
• Operating Systems: Linux/Unix

Hybrid Flexible at Broadridge

We are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid.

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company - and ultimately a community that recognizes and celebrates everyone's unique perspective.

Use of AI in Hiring

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.