Senior Software Engineer

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 team and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

• High-growth: Over the past six 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. 
• Well-capitalized: 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. 
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

About the role:

As a Senior Software Engineer on the Security Intelligence and Posture team, you'll be tasked with building systems that collect, integrate, and analyze security data from diverse sources across our customers' cloud environments. The team synthesizes data from cloud infrastructure, security events, logs, vulnerability intelligence, and third-party systems into interconnected security models that map network exposure, reveal attack paths, identify security gaps, and quantify overall security posture. By understanding the relationships between assets, permissions, network accessibility, and potential risks, we enable product teams to deliver meaningful security insights to customers.

You'll own critical components of our data collection and analysis pipelines, drive architectural decisions that influence how security data flows and is transformed into insights, and help us expand our capabilities. We're currently scaling our data collection to new cloud platforms and infrastructure types, improving our ability to model network exposure and surface security risks, enhancing security scoring across new domains, and evolving our architecture towards a more event-driven design—and we're looking for experienced engineers who are eager to make a foundational impact.

Our Stack: Python, Go, Neptune, Gremlin, Postgres, Kafka, Redis, DynamoDB, Django, Docker, Kubernetes, Terraform, AWS

On a typical day you'll:

• Write clean, concise code that is stable, extensible, and unit-tested appropriately
• Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
• Diagnose complex issues, evaluate, recommend and execute the best solution
• Implement new requirements within our Agile delivery methodology while following our established architectural principles
• Lead initiatives end to end—from design and planning to implementation and deployment—while aligning cross-functional teams and ensuring technical excellence
• Test software to ensure proper and efficient execution and adherence to business and technical requirements
• Provide input into the architecture and design of the product; collaborating with the team in solving problems the right way
• Develop expertise of AWS products and technologies

About you:

• Bachelor's degree in Computer Science, Engineering or relevant experience
• 5+ years of professional software development experience
• Proven experience building data-intensive systems at scale
• Experience with Python- Must.
• Experience with event-driven architectures and asynchronous message processing
• Solid understanding of software design principles, concurrency, synchronisation, memory management, data structures, algorithms, etc

Nice to have experience:

• Experience with Go.
• Experience with graph databases.
• Experience with distributed data processing technologies like Kafka.