Software Engineering Team Lead

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 Sales 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 Lead on the Data Platform, you'll guide one of Orca's most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across Orca's architecture.

You'll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, you'll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.

We're looking for an experienced Team Leader eager to make a foundational impact on Orca's next-generation cloud security data platform.

Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.

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 focused on data ingestion, normalization, and availability
• 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
• Participate in incident management, postmortems, and continuous improvement initiatives
• Foster a culture of technical excellence and accountability within the team
• Write and review clean, maintainable, and tested, take part of the on-call rotation
  
  

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, data-intensive systems
• Strong understanding of distributed systems design, concurrency, synchronization, data modeling, and performance optimization
• Hands-on experience with at least one of: Python, Go - Must
• Experience with distributed data processing tools like Kafka (Advantage)
• Hands-on experience with databases such as SingleStore, Postgres, Redis
• Solid understanding of cloud-native architectures and services (AWS preferred)
• 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
• Experience with real-time data processing and streaming pipelines (Advantage)