Senior Software Engineer - Agentic AI security

About the role

Tigera secures AI agents on any Kubernetes platform, from the kernel with eBPF. With Tigera Lynx, enterprises run AI agents in production and stay in control: Lynx discovers every agent, governs every call, contains any agent that steps out of line, and keeps a record of what each one did.

Tigera created Project Calico, which secures more than 8 million Kubernetes nodes every day, and the commercial Calico platform is trusted by Global 2000 enterprises including NVIDIA, Royal Bank of Canada, Chipotle, Bloomberg, and GoDaddy.

If you are looking to help make a substantial impact, and our values and products align with your vision of your career growth, we want to hear from you!

About Your Role

Tigera is looking for passionate and skilled software engineers to join us in our mission to secure the next generation of agentic AI workloads running on Kubernetes and beyond. With Lynx by Tigera, we have a platform that discovers agentic AI on any host, secures it through the kernel and our gateway. You will get to work at the cutting edge of AI agent security and help define what makes an agent an agent. You will help build the tools to distinguish an AI agent from a standard workload and secure it so it cannot go rogue! You will get to work with technologies such as eBPF, Go, Python, Cedar, agentgateway, OpenTelemetry, ClickHouse and more.

You will be joining a team that is highly engineering-focused with a culture that values diversity, collaboration, agility, and innovation, keeping us one step ahead in the exciting and fast moving cloud-native technology space. You’ll work on the hardest parts of the stack: traffic interception, policy enforcement, and observability for agentic workloads. You’ll take ideas from prototype to production quickly.

For this role, we are looking to hire in Vancouver (Hybrid).

Vancouver Salary Range: CAD $125,000 to CAD $150,000

You Have

- 5+ years as a software engineer with a track record of shipping and supporting production code

- Strong proficiency in one or more of Go, C/C++, Rust, or Python

- Solid working knowledge of Kubernetes and containers, including how workloads are deployed, networked, and secured

- Understanding of Linux systems and networking outside Kubernetes (hosts, VMs, cloud infrastructure)

- Thrives on fast iteration and MVP work, and likes taking on hard, open-ended technical problems

- Comfortable owning features end to end in a fast-moving, early-stage product environment

- CS degree or equivalent practical experience

Nice-to-Haves

- Expertise in proxy or service mesh technologies such as Envoy and/or Istio, including Kubernetes Gateway API or AI Gateway implementations

- Experience building detection, discovery, or asset inventory systems, such as traffic analysis, workload fingerprinting, or runtime telemetry

- Experience with eBPF or other kernel-level observability