Location: UK (Remote)
Big Ideas. Real People.
At Orca, in the right environment and with the right team,
talent has no boundaries
. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you're ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod.
We're looking for driven and talented people like you to join our R&D org. and our mission to change the future of cloud security.
Ready to dive in and swim with our pod?
Highlights
- High-growth:
Over the past seven years, we've consistently achieved milestones that take other companies a decade or more. During this time, we've significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
- Disruptive innovation:
Our founders saw that traditional security didn't work for the cloud so they set out to carve a new path. We're relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
-
With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We're backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
About the role
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.
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. This is also a great opportunity to take ownership, drive initiatives, and grow through collaboration, mentorship, and technical leadership.
Our Stack
: Python, Go, Postgres, Redis, Kafka, SQS, AWS, GCP, Azure
On a typical day you'll
- 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
About you
- 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
Bonus points for
- Experience with managed databases (RDS, BigQuery, CloudSQL, Azure SQL, Redshift, DynamoDB, …) and secure scanning/query patterns
- Familiarity with DSPM, or privacy engineering in cloud environments
- Experience with cloud AI/ML services (Vertex AI, Bedrock, SageMaker, Azure OpenAI, …)
- Background in cybersecurity, especially in cloud security domains
