Tech Stack

Description

As a Senior Software Engineer on the Data Security team, you will design and scale the systems that protect customer data, owning platform services from policy and enforcement to observability. You will collaborate with Security, Product, and Platform teams to deliver secure-by-default solutions, and help define the future of data governance at an AI-forward company.

Requirements

• BS degree in Computer Science, Electrical Engineering, Computer Engineering, or related field, or equivalent practical experience.
• 5+ years of experience as a Software Engineer building and operating backend or distributed systems.
• Strong software development and system design skills, with a deep understanding of reliability, scalability, and tradeoffs in distributed systems (e.g., consistency, availability, CAP theorem).
• Hands-on experience with Authentication, Authorization, and/or Network Security, including common attack vectors, best practices, and modern security technologies.
• Pragmatic security mindset with the ability to differentiate must-have vs. nice-to-have Security Privacy requirements and make clear, well-reasoned tradeoffs.
• Proven track record of leading complex projects end-to-end, from problem definition and design through implementation, rollout, and ongoing ownership.
• Experience with Golang and Python, or strong experience in similar languages with a readiness to work in Go and Python day-to-day.

Responsibilities

• Design and build core Data Security platform services that enforce Security Privacy standards across Abnormal’s products, infrastructure, and customer-facing integrations.
• Own, lead, and deliver large, multi-quarter initiatives that enable Abnormal to expand into new geographies, verticals, and product lines while maintaining world-class security and privacy guarantees.
• Develop secure, scalable data governance platform services and tooling that integrate Abnormal’s platform with external ecosystems such as Salesforce, Slack, GitHub, Zoom, and more—making Data Security and Privacy “on” by default.
• Translate security and privacy requirements into clear technical designs, balancing risk, usability, and cost while enabling product teams to move quickly and safely.
• Partner with Platform and Security leaders to define the vision, architecture, and roadmap for Abnormal’s Data Security platform, reconciling long-term strategy with near-term business needs.
• Elevate the engineering bar by driving best practices in threat modeling, authz/authn, secure data access patterns, and observability for security-sensitive systems.
• Mentor and grow engineers on the team, providing guidance on technical design, system ownership, and practical security thinking.