Senior Software Engineer - Threat Platform (Identity)

About the Role

Key Responsibilities

• Architect & Implement High-Throughput Data Pipelines
• Contribute to the design and build of scalable, cloud-native data pipelines leveraging Python and Go
• 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 performance and low-latency requirements for enterprise SaaS environments
• API & Feature Development
• Collaborate with frontend and product teams to deliver REST APIs that are performant, reliable, and aligned with end-user workflows
• Technical Collaboration
• Work with other senior engineers and architects to align on system design, coding practices, and tooling
• Participate in architectural discussions that balance immediate goals with long-term scalability
• Project Execution & Cross-Functional Alignment
• Take ownership of complex projects from scoping to delivery, collaborating with Product Management, Security Research, and Data Science teams
• Align technical solutions with broader business needs and customer requirements
• Code 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
• Proactive Improvement
• Identify and address technical debt, proposing improvements to existing features, the codebase, and team practices
• Stay informed of industry trends and emerging technologies; recommend tools or processes that enhance productivity and performance
• Team Collaboration & Knowledge Sharing
• Serve as a resource for technical questions and reviews, fostering a culture of continuous learning
• Offer constructive feedback in code reviews, encouraging best practices and high-quality solutions across the team

Requirements

• 4-8 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, high-throughput 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)
• 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

Nice to Have

• Experience with security operations or detection engineering is a plus
• Experience in both Python and Go development

Qualifications

• Educational background is not explicitly specified, but 4-8 years of professional experience is required

Benefits & Perks

• Base Salary: $180,000 - $215,000, determined by skills, qualifications, and experience
• Remote work flexibility with a hybrid model
• Home office / computer equipment stipend
• Generous paid time off, holidays, floating holidays, parental leave, sick leave, and family leave
• Health insurance: medical, dental, and vision with HSA option
• LifeWorks Member Assistance Plan, company-provided life insurance, AD&D, STD/LTD, and additional supplemental life insurance options
• 401(k) and Roth retirement savings accounts
• Monthly wellness benefit reimbursement