---
title: 'ML Engineer at Tigera'
canonical: 'https://feeny.ai/job/ml-engineer-tigera-vancouver-cd0mp0wdha0t'
type: 'job'
last_seen: '2026-09-13'
---

# ML Engineer at Tigera

- **Company:** Tigera
- **Location:** Vancouver, Canada
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-13
- **Apply:** https://boards.greenhouse.io/tigera/jobs/4723730005?gh_jid=4723730005

## Job description

Tigera provides Calico, a unified network security and observability platform to prevent, detect and mitigate security breaches in Kubernetes clusters. Tigera’s open-source offering, Calico Open Source, is the most widely adopted container networking and security solution.

Powering more than 100M containers across 8M+ nodes in 166 countries, Calico software is supported across all major cloud providers and Kubernetes distributions, and is used by leading companies including Discover, Chipotle, NBCUniversal, HanseMerkur, Box, Siemens Healthineers, Playtech, Royal Bank of Canada, and Bell Canada.

As our team grows, we are looking for colleagues who not only share our passion for this work and growing our company, but who will also strengthen our company values and help ensure that Tigera remains a great place to work. At our core, our focus is on our customers, who are the heroes of our story; on aiming high and staying nimble in how we get there; on continuous learning to drive our success; and on respecting, collaborating, and supporting each other on a daily basis.

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!

## What we're building

What we're working on AI agents are showing up in enterprise infrastructure faster than platform teams can identify them and security teams can govern them. The technical surface is new - agents make decisions, call tools, hold credentials, and reach across systems in ways traditional models weren't designed for. The companies running thousands of these agents in production have problems nobody has clean answers to yet. Tigera has built a new product to tackle this space. We're a focused engineering team working on the hard parts: detecting agents at runtime, understanding their behaviour, distinguishing legitimate activity from misbehaviour, and giving security teams the controls they need without slowing the platform down. The problems span machine learning, distributed systems, applied AI, and security research. We're early enough that the work you do will shape the product, and far enough along that you'll see real customers using what you build.

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

Vancouver Salary Range: CAD $160,000 to CAD $180,000

You Will

- Own the machine learning and applied AI side of this product, turning the considerable agent telemetry our platform captures into the detections, risk scores, and behavioural baselines that decide whether an AI agent gets to run inside a regulated enterprise. The modelling work is central to what makes the product work, and you'll own it end to end. Including classification from runtime telemetry, behavioural threat detection and using LLMs to bridge the gap between security intent and machine-enforceable policy.
- Be the AI/ML voice in our broader architecture decisions - the telemetry pipeline, product features and roadmap, model deployment and versioning, A/B testing of detection models in production. Our data infrastructure is in place; the ML systems built on top of it are yours to design.

You Have

- 5+ years of professional ML engineering experience, with at least two years building and deploying production ML systems
- Strong fundamentals in classical machine learning - gradient-boosted trees, regression, classification, evaluation methodology, feature engineering, dealing with class imbalance and noisy labels
- Experience with anomaly detection or time-series modelling in adjacent domains (fraud detection, observability, recommendation systems, fault detection etc)
- Hands-on experience using LLMs for applied tasks beyond chatbots - function calling, retrieval-augmented generation, prompt engineering, fine-tuning, evaluation
- Python and the standard ML ecosystem (scikit-learn, PyTorch or TensorFlow, pandas)
- Comfort working with large-scale telemetry data - ClickHouse, BigQuery, Snowflake, Spark, or equivalent
- Strong communication skills, including excellent writing skills

## Nice to have

- Prior experience in security, infrastructure, or systems-adjacent ML
- Familiarity with eBPF, kernel telemetry, or low-level systems observability
- Experience deploying ML models in latency-sensitive paths (sub-millisecond inference)
- Open-source contributions to ML tooling or applied AI projects
- Experience with model versioning and various frameworks (e.g. MLflow, Weights & Biases, BentoML, or equivalent)
- Background in interpretable ML making model decisions defensible to enterprise customers and auditors

## How we work

Small team, high autonomy. You will own significant chunks of the product end-to-end rather than working through layers of management. We plan and ship fast and review architecture decisions openly. The CTO is the engineering leader and the team is flat below that. You will report directly to the CTO.

We use Claude Code internally and our engineers move quickly with AI assistance, we expect you to as well, and to bring ideas about where AI tooling makes the team more effective.

External visibility can also be part of the role. You will have the opportunity to potentially publish your research, speak at conferences (KubeCon, AI Engineer Summit, security research venues), and represent Tigera in the technical community. This is a real opportunity to build a profile in a fast-growing space. With offices in San Francisco, San Jose, Vancouver (Canada), Cork (Ireland), and London (England), we have a thriving team of diverse individuals from all over the world. We believe in a collaborative, flexible work environment based on respect for, and commitment from, every employee. We also offer a competitive compensation package along with full health, vision, and dental benefits. These benefits, coupled with an amazing team of individuals who believe in our mission and value openness, collaboration, and teamwork, make Tigera an awesome place to work.

## About Tigera

## Company Overview
- **One-liner**: Tigera provides unified security, observability, and authorization control for AI agents and Kubernetes workloads through its Calico and Lynx platforms.
- **Entity Type**: Private (Series B; $53M total funding)
- **Headquarters**: San Jose, California, USA
- **Founded**: 2016
- **Founders**: Ratan Tipirneni (CEO), Pervez Sikora (former President), Alain Mayer (CTO)

## Core Business
- **Primary industry**: Kubernetes-native networking and security; AI agent security and governance
- **Target customers**: AI & Platform Engineering teams, Security teams at large enterprises (B2B, Enterprise)
- **Mission statement**: "Control and visibility for every AI workload and agent, wherever they run"

## Products & Services
- **[Calico Platform](https://www.tigera.io/)**: Unified platform for Kubernetes networking, security, and observability. Powered by Calico Open Source, Istio, Envoy, and eBPF. Provides full visibility into AI agents, runtime enforcement, and policy automation across any Kubernetes distribution, VM, or bare metal host. Used by 1M+ clusters daily.
- **[Lynx](https://www.tigera.io/)**: AI Agent Security, Observability & Enforcement for Kubernetes. Allows teams to audit, observe, and enforce what AI agents are authorized to do *before* they act. Audit-ready by default with traceable logs for every agent action and policy decision.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metrics**:
  - Annual Revenue: ~$10.5M per [LinkedIn](https://www.linkedin.com/company/tigera)
  - Total Funding: $53M (Series B closed Dec 2018 for $30M; Series A $13M in 2016; Venture round $10M)
  - Nodes Secured Daily: 8M+
  - Clusters Under Management: 1M+
- **Notable Customers**: NVIDIA, Royal Bank of Canada, Bloomberg, Chipotle, GoDaddy, Upwork
- **Investors/Partners**: 4 investors in Series B, 3 in Series A (exact names not fully disclosed in source)
- **Growth Signals**: Operating across 6 countries (USA, Canada, Ireland, India, Israel, UK); named GigaOM Leader and Outperformer; expanding into AI agent security (Lynx product launch)

## Competitive Advantages
- **Deep Kubernetes expertise**: Created and maintains Calico Open Source, the most widely adopted container networking and security solution
- **NSX alternative**: Migrate off VMware NSX without rearchitecting the network
- **Proactive enforcement**: Unlike traditional security tools that audit after the fact, Tigera enforces authorization *before* agents act
- **Proven at scale**: 8M+ nodes secured daily across 1M+ clusters in production at demanding enterprises
- **No vendor lock-in**: Works across every Kubernetes distribution, cloud provider, and on-premises environment
- **Single console**: One operator installs, configures, and manages the full networking and security stack

## Strategic Focus
- **AI Agent Security**: Extending policy enforcement and observability to govern autonomous AI agents as they become embedded in critical business processes
- **Simplification**: Reducing operational burden with automated policy recommendations, testing, and deployment
- **Unified platform**: Eliminating tool sprawl and fragmented controls across Kubernetes environments
- **Open-source commitment**: Maintaining Calico Open Source as the leading standard while offering advanced capabilities commercially

## Why Work Here
- **Company culture**: Collaborative, flexible work environment based on respect and commitment. Core values include continuous learning, building, and testing. 4.6/5.0 employer rating (63 reviews) with high marks for culture (4.6), work-life balance (4.5), and career growth (4.5) per [LinkedIn](https://www.linkedin.com/company/tigera)
- **Remote/hybrid policy**: Global team with offices in USA, Canada, Ireland, and England; emphasizes flexible work environment
- **Perks**: Competitive salary with stock options, top-tier health/vision/dental benefits, monthly wellness allowance, quarterly team events, weekly team lunches, happy hours
- **Engineering culture**: Emphasis on continuous learning, certification, and open-source contribution. Team includes former engineers from Metaswitch, VMware, Microsoft, NGINX, and Project Calico
- **Team composition**: 87 employees currently; 44 in technical roles, 9 in product, 8 in marketing. Senior-heavy team (29 senior, 17 other management)
- **Active openings**: 6 positions including Senior AI/ML Engineer, Senior TestOps Engineer, Senior UI Engineer, Senior SDET, and Enterprise Account Executives

## Sources
1. [tigera.io](https://www.tigera.io/)
2. [tigera.io/about](https://www.tigera.io/about/)
3. [tigera.io/careers](https://www.tigera.io/careers/)
4. [LinkedIn - Tigera](https://www.linkedin.com/company/tigera)
5. [Workable - Tigera openings](https://apply.workable.com/tigera/?lng=en)

## Other roles at Tigera

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- [ML Engineer](https://feeny.ai/job/ml-engineer-creatoriq-toronto-b3kq35qry811) — Toronto, Canada
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