Lead Infrastructure Engineer- LSEG/ Bloomberg Support

Job Responsibilities

• Applies technical expertise and problem‑solving methodologies to projects of moderate scope.
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes.
• Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity.
• Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions.
• Provide production support for critical market data platforms, ensuring stability, performance, and availability.
• Implement production changes and deliver timely resolution to production issues, including clear root‑cause ownership and follow‑through.
• Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure.
• Communicate and interact efficiently with lines of business during issues or outages, providing clear status, impact, and recovery updates.
• Collaborate with team members to resolve problems and deliver project tasks and troubleshooting efforts.
• Liaise with plan/build teams to ensure a smooth transition from project delivery to business‑as‑usual support for new products and processes.
• Work with vendors to help drive technical strategy, improve service, and resolve recurring or systemic issues.
• Provide advice on and adhere to operational and technical standards, best practices, processes, and procedures.
• Work cross‑functionally and across geographies to meet overall goals.
• Develop and manage key relationships across the firm and with industry/business community contacts to help shape direction and adopt best practices.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

• Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments.
• Drives to continue to develop technical and cross‑functional knowledge outside of the product.
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds.
• In‑depth knowledge and hands‑on experience of market data technologies (installation and support of) used by trading applications, including: LSEG RMDS and EEDs, DACS, Bloomberg BPIPE and MFA, Solace, Metafluent, ITRS Geneos.
• Deep knowledge of market data feeds and trading content (previous experience with direct exchange connectivity is an advantage).
• Data content and quality expertise—ability to validate if a price is correct; experienced in using tick history tools.
• Programming/scripting: Shell, Python, Perl, SQL, nice to have Javascript, C++.
• Networking: IP (TCP/UDP/MCAST) and familiarity with switch/routing topologies.
• Operating systems: Linux (RedHat) system administration.
• Cloud computing: AWS.
• Market data APIs: OpenMAMA, LSEG APIs, Bloomberg APIs.