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Senior DevOps Engineer

MarketAxess
New York City, United Statesfull_timeVerifiedPosted 24 Feb 2026
💰 $225,000/yr($165,000/yr$225,000/yr)

About the role

About Us 

MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There. 

The Role

We are seeking a hands-on Senior DevOps Engineer to join our Data and Analytics Platform team, driving the design and implementation of our next-generation cloud-based, streaming Data Mesh platform. This role is pivotal for enabling teams to create scalable, data-driven products and advancing our application modernization strategy. 

Our Vision 

We believe in building a modern, scalable data platform that empowers teams across the organization. Our vision is to create an infrastructure where data can be efficiently processed, stored, and accessed in real-time, enabling innovation and data-driven decision making at scale. 

Our next-generation streaming platform will transform our data capabilities into a strategic asset. Through well-designed architecture and automation, we aim to: 

  • Provide teams with self-service infrastructure and tools 
  • Enable real-time data processing and analytics 
  • Create reliable, scalable, and cost-effective solutions 

By embracing cloud-native technologies, event-driven architectures, and modern data infrastructure patterns, we will deliver a seamless platform for processing, discovering, and utilizing trusted, connected, and real-time data. Our focus on automation, observability, and developer experience will ensure teams can move quickly while maintaining reliability and security. 

How You’ll Help Take Us There

Design and Implement Cloud Infrastructure: Architect and deploy scalable cloud infrastructure using Infrastructure as Code (IaC) principles to support our Data Mesh platform. Experience with major cloud providers (AWS/Azure) and modern IaC tools (Terraform, CloudFormation) is essential.   

Build Automation Pipelines: Develop and maintain CI/CD pipelines for data products, ensuring reliable deployment, testing, and monitoring of data infrastructure and applications. Experience with tools like Jenkins, GitLab CI, or GitHub Actions is required. 

Implement Platform Observability: Design and deploy comprehensive monitoring, logging, and alerting solutions across the data platform. Experience with tools like Datadog, Prometheus, Grafana, ELK stack, or similar technologies is crucial. 

Enable Self-Service Infrastructure:  

  • Develop automated provisioning systems for data infrastructure
  • Create and maintain infrastructure templates and patterns
  • Implement GitOps workflows for infrastructure management
  • Ability to leverage GenAI tools (e.g., GitHub Copilot or equivalent) to accelerate development and improve code quality.
  • Skill in applying AI-driven practices such as prompt engineering and AI-assisted code reviews to boost productivity and reduce delivery time while mitigating risks.
  • Build developer portals and self-service tooling  

Security and Compliance Automation:  

  • Implement security controls and compliance checks as code
  • Automate security scanning and vulnerability management
  • Design and implement IAM and access management solutions
  • Maintain audit trails and compliance reporting automation 

Performance Optimization:  

  • Monitor and optimize platform performance
  • Implement auto-

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Company

MarketAxess

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