Description
We're building the next generation of capital markets technology. Global capital markets are an ocean of fast-moving, interrelated, and complex data. We are looking for passionate and enthusiastic problem-solvers with expertise in capital markets data to join us as we continue providing technological innovation and support to the world’s leading global capital markets companies.
The Senior Linux DevOps Engineer - PCAP will be responsible for high-performance data capture systems. We have the mission of "Capturing, Storing and Transforming" the world's capital markets data. In this critical role, you'll be an integral member of a team managing the data pipeline that flows between each of those stages. The role has a large operational component while also requiring someone to envision future growth in both utilization and technology selection for the components of work. In addition, this role will help drive the adoption of intelligent automation across the platform, identifying opportunities to streamline operations through infrastructure automation and AI-powered development that improve operational efficiency, observability, and support processes.
Responsibilities:
- 5 to 7+ years of professional experience with Linux, preferably RHEL or RHEL derived distributions (CentOS, Rocky Linux, AlmaLinux)
- 5+ years of experience with Python scripting
- An expert at using Ansible to develop and maintain playbooks and roles to automate server provisioning and configuration management
- Proficiency with Linux and an understanding of Linux server architecture and operation including performance and latency tuning
- Experience designing, deploying, and managing containerized applications using Docker, Podman or other containerization technology in production environments
- Should be very comfortable with data copying, scheduling tasks and Linux daemons
- Extensive experience with application deployments and OS updates, including risk assessment and mitigation strategies for potential failures
- Experience with Git-based version control systems, such as GitLab and/or GitHub and managing pipeline in these products
- Basic networking knowledge and ability to interpret Wireshark/tcpdump capture output
- Excited for the opportunity to design and implement automation solutions and operational tooling, leveraging AI-assisted development to improve system reliability, efficiency, and team productivity.
- Strong understanding of DevOps principles and best practices, including Infrastructure as Code (IaC), CI/CD pipeline management, observability, testing automation, version control, and the ability to champion and evangelize DevOps culture across engineering teams.
- Must be willing to work US Eastern hours for the first 6 months during initial training
- Must be willing to work on some weekends when needed for deployments
Nice to haves, but not required:
- Knowledge of global financial market data
- Experience working with multicast-based market data distribution
- Experience with DataDog for infrastructure monitoring, alerting, and observability
- Experience with AWS, S3, AWS CLI tools
Benefits:
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives