Senior Software Engineer - Agentic AI security
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
Experience with AI/ML systems, data pipelines, analytics, or modeling
Familiarity with emerging agent protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent)
Background in cloud-native security, zero-trust networking, or workload identity (e.g., SPIFFE/SPIRE)
Open source contributions in the cloud-native ecosystem
But more than any specific experience, the most important criteria for success will be your talent, energy, and passion to help build and shape the future within a collaborative, agile, community-based environment.