devops engineer in low-latency trading infrastructure

Terraform, Chef, or Ansible to drive consistency and repeatability;Troubleshoot complex deployment, performance, networking, and infrastructure issues, 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.ТребованияHands-on technical lead experience with 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 experience;Scripting or programming experience in Python, Bash, or similar;CI/CD pipeline experience with Jenkins, GitLab, or similar;Experience with containerization and artifact publishing;Experience with infrastructure as code and configuration management using 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 experience with application, network, infrastructure, security, and operations teams;Kubernetes or other container orchestration platform experience;Hands-on AWS and hybrid cloud experience, including EC2, ALB, S3, RDS/Aurora, and EFS;Experience with cloud or hybrid hosting environments;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 GitHub Copilot, Cursor, or similar;Experience contributing to AI-enabled automation, operational workflows, or infrastructure strategy;Proven success working in a global, matrixed organization;Nice to have: AWS EKS, Azure, relevant certifications such as AWS Certified DevOps Engineer, AWS Solutions Architect, Certified Kubernetes Administrator, Terraform Associate, RHCE, PSM, CSM, or ITIL.УсловияHybrid work in London, England, United Kingdom; Associates meet in person as needed to learn and collaborate; Broadridge may use AI-based tools to help review and evaluate applications, with human review included in employment decisions; Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. #J-18808-Ljbffr

ЗадачиLead the design and evolution of scalable, secure, and highly available trading infrastructure;Provide technical direction, mentorship, and guidance to engineers while remaining hands-on 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-premises 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