The Role

We are seeking an experienced Senior Software Engineer to join our Developer Experience (DevEx) team.  

This role focuses on designing and implementing AI‑enhanced developer platforms and tools that help streamline, automate, and optimize the work of engineers across our trading systems. You’ll build intelligent systems that improve productivity, code quality, and operational resilience — enabling faster, safer, and more efficient delivery of products and trading software. 

DevEx builds and maintains the internal platforms, tooling, and paved paths that help product teams ship safely and quickly by improving build and deployment velocity, reliability, quality, security, and overall developer satisfaction—including how we responsibly adopt and operationalize AI across the software development lifecycle. 

In this role, you’ll partner with engineers, security, and product stakeholders to design, build, and operate the systems developers use every day (CI/CD, developer portals, templates, observability, testing, and golden paths).  

A key focus will be enabling AI-assisted engineering at scale—rolling out developer tools, reusable workflows, and evaluation/telemetry so teams can use AI effectively with clear guardrails (security, privacy, compliance) and measurable outcomes. You’ll also help drive adoption through documentation, enablement, pragmatic standards, and metrics—mentoring others and raising the bar for engineering practices across the company. 

How You'll Help Take Us There

• Design, develop, and maintain internal developer platforms, tooling, and frameworks with integrated AI capabilities (e.g., intelligent code review, documentation generation, test‑automation assistants).
• Innovate around how AI and machine learning can improve the developer experience — from smarter debugging to predictive system reliability tools.
• Collaborate with product, platform, and infrastructure teams to optimize developer workflows and automate routine engineering tasks.
• Implement and maintain CI/CD pipelines, build systems, and developer services that leverage AI/ML insights for faster feedback and improved performance.
• Champion AI‑driven observability and anomaly detection to pre‑empt deployment or infrastructure issues.
• Work closely with data science and platform engineering teams to embed model‑informed automation into developer processes.
• Mentor engineers on applying generative AI tools effectively and responsibly across the SDLC.
• Ensure all AI‑based tools comply with the firm’s security, governance, and regulatory standards. 

What We’re Looking for  

• 7+ years of software engineering experience, ideally within financial services or other high‑performance, low‑latency domains.
• Proficiency in Python, Java, C++, or Go, with a strong background in building internal platform tools and automation.
• Experience developing or deploying AI‑assisted developer tools, such as LLM‑based code assistants, intelligent CI/CD systems, or automated documentation/testing frameworks.
• Deep understanding of CI/CD pipelines, infrastructure‑as‑code (Terraform, Ansible), and container platforms (Docker, Kubernetes).
• Expertise in software build systems, dependency management, and continuous integration best practices.
• Familiarity with machine learning operations (MLOps) concepts or AI model lifecycle management.
• Strong communication skills and the ability to collaborate across teams and technical domains.
• Background in trading systems or front‑office technologies is highly desirable.
• Experience designing and operating APIs and internal services used by many teams
• Strong DevOps background and CI/CD experience (e.g., GitHub Actions, GitLab CI, Jenkins)
• Proven track record delivering cross-team platform capabilities with strong operational ownership
• Excellent problem-solving skills and comfort in a fast-moving environment
• Strong communication skills and ability to influence without authority 

Preferred Qualifications 

• Experience integrating generative AI or LLM APIs (OpenAI, Anthropic, Cursor etc.) into developer workflows.
• Knowledge of data streaming (Kafka, Pulsar) and cloud‑native environments (AWS, GCP, Azure).
• Familiarity with secure and compliant AI system design in financial environments.
• Previous experience building internal developer or AI‑enablement platforms. 

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 $150,000 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.