Senior Infrastructure Engineer

This role is for one of our clientsIndustry: Human Resources ServicesSeniority level: Mid-Senior levelLocation: WorldwideJobType: full-timeWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.We are looking for a

Senior Infrastructure Engineer Market Data Systems

to join our global technology operations team. In this role, you'll be responsible for managing mission-critical infrastructure supporting real-time financial market data. You will ensure high system availability, low-latency performance, and robust security across production environments while driving automation, optimization, and continuous improvement initiatives.This position is ideal for a hands-on engineer with strong experience in Linux systems, networking, and automation particularly within financial or trading environments where precision, performance, and reliability are paramount.

Key Responsibilities

Infrastructure & Systems Management

Oversee end-to-end infrastructure supporting market data systems, ensuring high availability and minimal latency.Administer, configure, and maintain Linux-based servers; provide support for Windows systems when needed.Monitor and fine-tune system performance, conducting proactive maintenance and capacity planning.Implement and maintain automation scripts using Bash and Python to streamline deployments, updates, and monitoring.Maintain network performance by troubleshooting multicast, routing, switching, and TCP/IP connectivity issues.Collaborate with engineering, operations, and business teams to deliver secure and scalable infrastructure solutions.

Production & Market Data Support

Manage real-time data feed systems to ensure continuous delivery of accurate and timely market data.Support integration of external platforms such as Bloomberg, Refinitiv, or other data providers.Participate in incident management, root cause analysis, and service restoration activities.Apply ITIL-aligned processes for change management, service requests, and operational stability.Maintain detailed documentation, system runbooks, and operational dashboards for production systems.

Automation & Cloud Integration

Develop automation workflows for infrastructure provisioning and system monitoring.Support hybrid and cloud-native architectures across AWS and Google Cloud environments.Work with DevOps tools such as GitHub, GitLab, or Jenkins to improve CI/CD practices and infrastructure as code.

Qualifications & Experience

Bachelor's degree in Computer Science, Information Systems, or a related field.Minimum

7 years

of hands-on experience in infrastructure, systems administration, or production engineering.Advanced expertise in

Linux system administration

(Red Hat, CentOS, Ubuntu); Windows knowledge is an advantage.Strong understanding of

network fundamentals

, including multicast, TCP/IP, and switching/routing.Experience with

automation scripting

(Bash, Python) for operational efficiency.Familiarity with

ITIL processes

and service management frameworks.Background in

financial technology, market data systems, or trading environments

is highly preferred.

Preferred Skills

Experience with

ITRS Geneos

,

EXEGY (Wombat/Vela)

, or

Refinitiv TREP/RTDS

systems.Exposure to

AWS ECS, VPC, or GCP

for hybrid deployments.Experience with

GitHub/GitLab

, CI/CD tools, or infrastructure automation frameworks.Strong problem-solving mindset and ability to perform under pressure in high-stakes environments.

Contract Details

Type:

1-Year Contract (Extendable based on performance)

Location:

Remote

Engagement:

Full-time with global team collaboration

Core Skills

Linux System Administration

• Market Data Systems
• Network Engineering
• Bash/Python Scripting
• ITIL Framework
• Infrastructure Automation
• Cloud (AWS/GCP)
• Production Operations
• Financial Technology