Senior Software Engineer, Scanning Engine

Responsibilities

• Own end-to-end systems design for key components of the scanning engine, from initial design through implementation, deployment, and ongoing iteration
• Design and implement high-quality services in Python and Go that power our scanning workflows, ensuring code is maintainable, well-tested, and observable.
• Improve performance, scalability, and reliability of the scanning engine, optimizing for large-scale, distributed scanning workloads and strict SLAs.
• Partner with security, product, and data teams to translate detection and scanning requirements into robust, production-ready systems and APIs.
• Drive technical excellence and standards in the scanning engine codebase, including code review rigor, design documentation, and best practices for secure coding.
• Contribute to architecture and roadmap decisions for the scanning platform, evaluating tradeoffs and proposing solutions that balance speed, quality, and risk.
• Diagnose and resolve complex production issues related to scanning performance, accuracy, and stability, collaborating with SRE/Infra teams where needed.
• Mentor and support other engineers on the team through design feedback, pairing, and knowledge sharing around systems design and scanning domain concepts.

Skills and Qualifications

• Strong experience as a Senior Software Engineer (or equivalent) working on backend or systems-level services.
• Proficiency in at least one of Python or Go, with the ability and willingness to work in both languages over time.
• Demonstrated experience with systems design for distributed or high-availability services, including clear understanding of scalability, reliability, and observability.
• Hands-on experience building or maintaining scanning, detection, or similar engine-like systems (e.g., vulnerability scanning, security scanning, data processing pipelines, or similar high-throughput engines).
• Strong software engineering fundamentals: data structures, algorithms, concurrency, and performance optimization.
• Experience working in a cloud-native environment (e.g., microservices, containers, CI/CD, monitoring, logging).
• Ability to collaborate effectively across teams, including product, security, and platform/infra, and communicate tradeoffs clearly to technical and non-technical stakeholders.
• Proven track record of owning projects end-to-end, from problem definition and design through implementation, rollout, and iteration.
• Comfort operating in a fast-paced, evolving environment, making pragmatic technical decisions while maintaining quality and security.
• Experience with code quality practices (testing, static analysis, code reviews) and building maintainable systems.

Bonus Points

• Cyber security domain knowledge in scanning through endpoints.

Compensation

US base salary ranges from $150,000/year in lowest geographic market up to $215,000/year in highest geographic market.

Perks

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)
• Competitive compensation and opportunity for advancement