Senior Software Engineer - Transaction Surveillance

This is Hybrid role (3 days in office /2 days remote)

About the team
The Compliance Surveillance team builds the systems that detect market manipulation and financial crime across millions of client accounts. Our platforms process more than 1 billion order events a day, and their correctness supports regulatory compliance and market fairness.

The role
We are looking for a senior software engineer who specializes in testing and quality. You will design, build, and own the test frameworks and quality infrastructure for our surveillance systems. This is a software engineering role, not a test-writing role. You will write production-quality code, make system design decisions, and own the architecture of how we test, measure, and monitor quality. You will work directly with developers and data scientists, with a direct line to engineering leadership.

What you'll do

Own the architecture of our test frameworks covering backend, frontend, and machine-learning pipelines
Treat test infrastructure as a product: architecture, code review, maintainability standards
Define data quality for pipelines processing 1B+ events daily
Architect integration, performance, and contract testing for distributed, event-driven systems
Drive cross-team root-cause triage, diagnose systemic issues, and identify architectural fixes
Raise engineering quality standards across development and data science

Required

Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field
5+ years of professional software engineering experience, with strong production-quality Python
Solid software engineering fundamentals: data structures, code review, and system design
Experience designing and building a test framework, or a significant part of one, and maintaining it over time
Deep pytest experience: fixtures, plugins, parametrization, and scaling large suites
Git and CI/CD experience (e.g., Jenkins, GitHub Actions, GitLab CI)
Strong written and verbal communication, with close attention to detail

Strongly preferred

Experience testing data-intensive or distributed systems (pipelines, streaming, databases, APIs), including data quality and lineage tools (Manta, Ataccama, Great Expectations)
Monitoring and observability tools (Grafana, Prometheus, Datadog, ELK)

Benefits

Competitive salary, annual performance-based bonus, and stock grant awards
401(k) retirement plan with competitive company match