Senior Software Engineer, Orca Security

• We’re looking for engineers who care about data security, distributed systems, cloud databases, and AI/ML platforms – and who want to have a real impact by building robust, scalable security tooling
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software development experience
• Strong experience building backend services or distributed systems
• Hands-on experience with Python or Go
• Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
• Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
• Passionate about building great products and solving real-world security challenges
• Self-driven, proactive, and comfortable taking ownership and initiative
• A strong communicator and a true team player who thrives in a collaborative environment

Desirable

• As a Senior Software Engineer on the DSEC (Data & AI Security) team at Orca Security, you’ll be part of a core group responsible for protecting customer data and AI assets at scale
• The team scans and analyzes a broad set of data stores and AI services – from managed databases and container images to object storage buckets and VMs – to find sensitive data, keys, PII, and misconfigurations
• You’ll also map, model, and assess cloud AI services to give customers clear visibility and security insights across their data and AI footprint
• This role is a strong fit if you want to build the infrastructure that powers our Data Security Posture Management (DSPM) and AI security capabilities
• You’ll help design and run scanning pipelines for managed databases across major cloud providers, implement detection engines for PII and secrets across file systems and databases, and enable our security researchers to discover data risks and AI misconfigurations quickly and reliably
• Your work will directly affect how thousands of organizations understand and security their sensitive data and AI workloads
• This is also a great opportunity to take ownership, drive initiatives, and grow through collaboration, mentorship, and technical leadership
• Design, implement, and maintain scalable backend services for scanning and analyzing managed databases, object storage, and data assets across cloud providers
• Build and extend infrastructure for detecting sensitive data, secrets, and keys across customers’ databases, buckets, VMs, and containers so customers can be alerted when risks are found
• Integrate and evolve detection engineers for PII, secrets, compliance, and vulnerabilities across Linux and Windows workloads
• Map, model, and assess cloud AI services and managed databases to surface misconfigurations, exposure, and security posture
• Collaborate with security researchers and product managers to turn complex requirements into clear, impactful product features
• Write clean, efficient, and testable code, ensuring high performance and reliability at scale
• Participate in design and code reviews to keep quality and security standards high
• Lead features end-to-end – from design and planning through deployment and monitoring
• Improve system observability, performance, and resilience in production environments
• Stay current with developments in the data security, DSPM, and AI/ML security