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.

Highlights:

• High growth: In just seven years, we’ve reached milestones that take other companies a decade or more. We’ve doubled our employee count, tripled our customer count, and rapidly expanded 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 team:

Orca’s Engineering Enablement and Experience team improves the lived experience of R&D developers and reduces friction across the SDLC. We work on developer tools, platform capabilities, and workflow/process improvements that shorten feedback loops, reduce cognitive load, and help teams stay in flow.
This is an internal facing engineering role - your customers are our developers.

The role:

We’re hiring a mid-level engineer who enjoys solving “engineering productivity” problems end-to-end: identifying friction, building pragmatic solutions (often internal tools or automation), driving adoption with partner teams, and measuring whether the change actually helped.

This is not

a pure feature-development role. The work typically blends: -Tooling development

• Platform / DevOps-oriented engineering

• Process optimization

The mix varies over time based on the most valuable friction to remove.

What You'll do:

Build and maintain internal developer tools

• Develop and ship production-quality software that improves daily developer workflows (CLIs, services, automations, integrations).

• Own well-scoped components or features end-to-end with support from senior teammates: design, implementation, rollout, and maintenance.

• Write clear documentation and provide a smooth “self-service” experience for internal users.

Improve feedback loops in the delivery pipeline

• Identify bottlenecks in CI, builds, tests, deployments, and dev environment setup.

• Reduce flaky and noisy signals; improve reliability and developer trust in tooling.

• Add pragmatic observability and operational hygiene to internal tools (logging, dashboards, runbooks where needed).

Reduce cognitive load and friction across teams

• Make it easier to understand “how things work here” via better docs, templates, golden paths, and clearer ownership.

• Work with partner teams to streamline handoffs and remove recurring workflow pain.

• Contribute to lightweight process improvements that reduce interruptions and unplanned work.

Collaborate and deliver

• Partner with multiple R&D teams to understand pain points and deliver incremental improvements.

• Break down ambiguous problems into actionable steps; communicate progress and tradeoffs clearly.

About you:

• 2–5 years of professional software development experience (preferably in Python).

• Strong engineering fundamentals: writing maintainable code, tests, and debugging production issues.

• Practical understanding of the SDLC: CI/CD, source control workflows, build/test automation, and developer tooling.

• Strong communication skills and a collaborative mindset.

Nice to have:

• Experience with internal tooling, platform teams, or developer productivity initiatives.

• Exposure to Kubernetes/Docker/cloud infrastructure.

• Familiarity with progressive delivery concepts (feature flags, staged rollouts).

• Experience translating “pain points” into requirements and validating impact with data/feedback.