Sr. Software Engineer

About the position

You are a Software Engineer who thrives on solving complex, abstract problems and building scalable systems that power high-impact business functionality. You have a strong intuition for designing flexible, performant data querying frameworks and can architect systems that transform abstract logic into optimized query plans across diverse database backends. You are not afraid to dive deep into large codebases, work with intricate logic trees, or optimize SQL for billion-row tables. You understand the art of abstraction—how to create services and SDKs that are both powerful and intuitive to use. You have a collaborative mindset, a bias toward ownership, and the grit to deliver in high-scale environments. You have good communication skills, a ‘can do’ entrepreneurial attitude, and a team-oriented mindset.

Responsibilities

• Own and evolve a framework for turning dynamic, logic-driven filter sets into performant query plans for multiple backends.
• Translate filter trees with native object types, dynamic operators, parameters, and internal relationships into efficient queries for query engines such as SingleStore and Trino.
• Ensure that heterogeneous filters can be composed and executed to produce the correct unified output object type.
• Design and develop reusable SDKs and microservices that empower other engineering teams to consume the query framework as a self-service platform.
• Build scalable solutions that are robust to high cardinality, massive datasets, and distributed database architectures.
• Identify optimization opportunities and contribute to the framework’s resilience, scalability, and developer usability.
• Partner closely with teams building Segments, Sales Intelligence, Workflows, and Analytics to ensure your services meet broad, evolving needs.
• Collaborate with Architects, Product Managers, and peer engineers to drive continuous improvements and architectural evolution.

Requirements

• BS/MS in Computer Science or a related technical field.
• 5+ years of backend engineering experience, ideally in data-intensive systems.
• Strong foundation in data structures, algorithms, and software architecture.
• Deep experience in writing complex, optimized SQL across distributed data stores.
• Hands-on expertise in Python (preferred), with willingness or experience working in Java.
• Familiarity with database internals and performance tradeoffs for engines like SingleStore, Trino, Hive, Spark, or Databricks.
• Proven success in building systems that scale to billions or trillions of records.
• Comfort working with dynamic schema modeling, ORMs, and custom DSLs.
• Proficient in cloud services (AWS, GCP, or Azure), and containerized environments (Docker, Kubernetes).

Nice-to-haves

• Prior experience developing query compilers, rule engines, or logical plan optimizers.
• Knowledge of API design patterns, SDK usability, and self-service frameworks.
• Experience with feature flagging, A/B testing infrastructure, or internal developer platforms.
• Background in analytics tooling, CRM/marketing automation platforms, or large-scale data enrichment pipelines.
• Familiarity with CI/CD tools like Jenkins or GitHub Actions and test automation strategies.

Benefits

• Generous health insurance coverage.
• Life and disability insurance.
• 401K employer matching program.
• Paid holidays.
• Self-care days.
• Paid time off (PTO).
• Stock options.
• Access to LinkedIn Learning platform.
• Quarterly wellness education sessions.