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 Engineering team 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.
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 Team Manager on the Orchestrator team, you'll lead one of Orca's most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan Orca runs goes through it.
The platform is large-scale, distributed and always on, running across all of Orca's production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.
We're looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers Orca's cloud security platform.
Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.
What You'll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency
Drive the platform's scalability and cost efficiency as scan volumes grow
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations
Uphold the team's engineering standards for code quality, safe rollout of changes and long-term maintainability
Write and review clean, maintainable and tested code
What You Bring:
Bachelor's degree in Computer Science, Engineering, or equivalent experience
7+ years of professional software development experience, including at least 2 years in a team lead role.
Proven experience leading teams that build and operate large-scale, mission-critical distributed systems
Strong hands-on Python, including async programming at scale - Must
Strong understanding of distributed systems design, including concurrency, distributed state, idempotency, delivery semantics and performance optimization
Solid grasp of resilience patterns such as retries, backpressure, rate limiting, timeouts, resumable workflows and failure recovery
Hands-on experience with event streaming and queueing systems such as Kafka and SQS
Hands-on experience with Redis and with relational databases such as Postgres - Advantage
Deep understanding of cloud-native architectures and cloud provider APIs, AWS in particular, including compute, storage, IAM and related services
Excellent communication and collaboration skills, with the ability to align engineers, product managers and stakeholders
Experience mentoring engineers and guiding technical growth
Comfortable balancing hands-on technical work with people and project leadership responsibilities
