Lead Software Engineer - Threat Platform

8+ years of professional software engineering experience Hands-on development in Python or Go (experience in both is ideal). Proven track record in designing and architecting large-scale, petabyte-scale data pipelines or similar distributed systems. Experience with streaming platforms (e.g., Kafka, Pub/Sub, Pulsar) and analytics engines (e.g., ClickHouse, Trino, Spark) to enable low-latency querying and high-volume data ingestion. Cloud-native development proficiency (e.g., containerization, CI/CD pipelines, microservices, observability tools). Strong understanding of SaaS, security operations, or detection engineering is a plus (though not required). Demonstrated ability to mentor peers, review code with a keen eye for quality, and influence engineering best practices across an organization. Excellent communication skills—capable of explaining technical concepts to diverse audiences and driving consensus. Comfortable in agile or agile-esque environments focused on rapid iteration, feedback, and continuous improvement. Bachelor’s degree in Computer Science, Software Engineering, or equivalent industry experience.

Architect & Implement High-Throughput Data Pipelines Design and build scalable, cloud-native data pipelines leveraging Go / Golang. Integrate and optimize streaming technologies (e.g., Kafka, PubSub, Pulsar) and analytics engines (e.g., ClickHouse, Trino, Spark) to ingest and process petabytes of data daily. Ensure solutions meet high-performance and low-latency requirements for enterprise SaaS environments. Technical Leadership Drive technical direction for the Threat Platform team, providing guidance on system design, coding practices, and tooling. Collaborate with other senior engineers, architects, and stakeholders to define architecture that balances current needs with future scalability. Project Ownership & Cross-Team Collaboration Lead the end-to-end execution of complex projects that involve multiple teams, from initial scoping to delivery and post-launch support. Partner with Product Management, Security Research, and Data Science teams to align technical solutions with business goals and customer needs. Mentoring & Team Development Serve as a go-to resource for technical questions, reviews, and best practices. Mentor and coach junior and mid-level engineers, fostering a culture of ownership, continuous learning, and collaboration. Quality, Reliability & Observability Champion engineering excellence by promoting test-driven development (TDD), code reviews, and proactive monitoring. Advocate for reliability, observability, and scalability at every stage of the development lifecycle. Continuous Improvement Identify and address technical debt, proposing innovative improvements to current features, codebase, and team practices. Stay informed of industry trends and new technologies; evaluate and recommend tools or processes that boost team productivity and product performance.