Lead Software Engineer - Threat Platform

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Requirements:

• 8+ years of professional software engineering experience, including 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).

Responsibilities:

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.