Senior DevOps Engineer

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-scaling solutions design for high availability and disaster recovery
• Optimize cost through infrastructure efficiency 

 Lead Platform Re-Architecture:  

• Transform our existing data platform architecture to align with Data Mesh principles
• Design and implement our Apache Iceberg adoption strategy, enabling ACID transactions and time travel capabilities
• Create standardized patterns for teams to effectively adopt and optimize Iceberg tables 

Drive Release Excellence:  

• Establish automated release processes that balance agility with platform stability
• Build deployment frameworks with comprehensive validation, monitoring, and rollback capabilities
• Implement coordinated release strategies across distributed domains 

Enable Technical Success:  

• Design reference architectures and implementation patterns for domain teams
• Lead technical design reviews and architecture governance
• Provide technical guidance during the transition to Data Mesh architecture 

What We’re Looking For

• 8+ years of experience in DevOps/Platform Engineering roles within a data operations team 

Cloud & Infrastructure:  

• Extensive experience with AWS, particularly EKS and EKS Anywhere
• Deep expertise in Kubernetes and container orchestration
• Strong background in Infrastructure as Code using Terraform and Terragrunt
• Experience with GitOps practices using ArgoCD
• Knowledge of distributed systems and event-driven architectures
• Strong knowledge of logging, monitoring, APM tracing and alerting tools (ELK, Datadog, Prometheus, Grafana, etc.) 

Development & Engineering:  

• Proficient in Java development and JVM optimization
• Experience with build tools (Maven/Gradle) and dependency management
• Strong background in unit testing frameworks and testing practices
• Expertise in Git version control and collaborative development
• Experience with Apache Kafka and Kafka Streams
• Background in monitoring and performance optimization for Java applications 

CI/CD & Automation:  

• Experience designing and managing Jenkins/Github/Gitlab pipelines
• Strong scripting skills (Python, Bash)
• Understanding of DevOps practices and automation principles 

Preferred Qualifications: 

• Experience with data mesh or similar distributed data architectures
• Relevant cloud certifications
• Experience building developer platforms or portals
• Background in DataOps practices 

What You Can Expect from Us

• Hybrid Environment: Our employees enjoy a mix of working in the office and from home
• Free Food: We provide free lunch for employees when they are working in the office. Plus, our offices are stocked with snacks
• Paid Time Off: Competitive PTO package including vacation and personal days, sick leave and charity days
• Generous Parental Leave: Up to 20 weeks fully paid leave
• 401(k): Dollar-for-dollar employer match up to $17,500
• Employee Stock Purchase Plan: Employees can purchase MarketAxess common stock at a discount
• Wellness Stipend: We provide employees with up to $1K annually towards gym memberships, home office equipment and more
• Onsite Healthcare: We offer convenient access to world-class care through Mount Sinai at our Hudson Yards location
• Tuition Assistance and Professional Development: Benefit from live and on-demand learning, role-specific training, employee-led Lunch and Learns and guest speakers
• Core benefits: Highly competitive medical, dental, and vision programs

For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $165,000 USD to $225,000 USD. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs.

MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.

All of your information will be kept confidential according to EEO guidelines.