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Explore Job Opportunities

Software Engineer

LOCATION

Redwood City, CA

Location: Redwood City, CA (Hybrid — 3 days in office required)

Remote: Considered for exceptional candidates

Work Authorization: Must be authorized to work in US. Not sponsoring H-1B. No clearance required.

Position: Software Engineer (Backend-heavy)

Experience: Fresh grads to ~5 years preferred, but stronger candidates with more experience will be considered

Team Size: <10 engineers

Apply: Email jobs@anzenna.ai

 

About Anzenna

Anzenna is an Agentic insider risk security platform that works alongside your SOC & Insider Risk team. Our AI agents continuously investigate and remediate risky signals across 100+ enterprise tools including identity providers, endpoints, cloud platforms, collaboration apps and more to prevent insider breaches before they happen.

We’re early stage, shipping fast. Founding team from Atlassian, Google, LinkedIn, Microsoft, Sophos, and Yahoo. Backed by 8VC and other leading investors.

 

The Role

You’ll build backend systems and integrations that connect Anzenna to enterprise security infrastructure. This is not a “maintain existing CRUD app” role — you’ll be designing and building core platform components that process security data at scale.

What you’ll actually work on:

• Integrations: Build connectors to enterprise platforms — Okta, Microsoft Entra ID, CrowdStrike, SentinelOne, Snowflake, GitHub, Google Workspace, Slack, Jamf, Netskope, and many others (100+ total). Each integration has its own quirks: OAuth flows, token refresh, rate limits, pagination, schema differences, and varying API quality.
• Backend Services: APIs powering our customer-facing product. Go, PostgreSQL.
  Event-Driven Pipelines: We use Google Cloud Pub/Sub for async event processing. You’ll work on ingesting, normalizing, and correlating security signals from diverse sources — handling deduplication, schema mapping, and reliability at scale.
• Data & Analytics: Multi-tenant data layer with 55+ entity types (devices, employees, behaviors, vulnerabilities, detections, investigations). Risk scoring, anomaly detection, time-series aggregation across daily/weekly/monthly windows.
• Infrastructure: Google Cloud Run for serverless deployment, CloudSQL (PostgreSQL), GCP KMS for encryption. You’ll touch deployment pipelines, monitoring, and observability (OpenTelemetry).
• AI/LLM Integration: We’re embedding AI into security workflows — Google Vertex AI agents, MCP (Model Context Protocol) servers, and an internal Agent Development Kit. If you’re interested in applied AI, there’s real work here.

We ship weekly. You’ll talk to customers. You’ll debug production issues. This is startup life.

You won’t know all of this on day one — that’s expected. We’re looking for strong fundamentals and willingness to learn.

What success looks like: Engineers here ship production features in their first month. Within a year, you’ll be a go-to person for a significant part of the platform.

 

Tech Stack

• Go — primary language
• PostgreSQL — primary database
• GCP — cloud infrastructure
• React — frontend (you’ll barely touch this)

 

What We’re Looking For

Required:

• Strong programming fundamentals. Go experience preferred, but if you’re solid in Python/Java/TypeScript and ready to learn Go quickly, that works.
• Experience with relational databases (PostgreSQL or similar). You can write queries, understand indexing, design schemas.
• Familiarity with cloud infrastructure — GCP preferred, but AWS/Azure experience transfers.
• Clear communication. You can explain technical decisions in writing and on calls.
• Self-directed. You don’t wait for tickets to appear. You see what needs doing and do it.

Preferred:

• Experience building integrations or working with third-party APIs (OAuth flows, webhooks, rate limiting, pagination, error handling)
• Familiarity with event-driven architectures (Pub/Sub, message queues)
• Experience with security tools — identity providers (Okta, Entra ID), endpoint agents (CrowdStrike, SentinelOne), SIEM, etc.
• Startup experience, or demonstrated ability to move fast with incomplete information
• Interest in applied AI/LLM — we’re actively building AI-powered security workflows

Fresh grads: Yes, if you can code. Show us what you’ve built — side projects, internships, open source contributions.

More experienced? If you have 5+ years and the role sounds interesting, we’re open to talking. We care about fit and ability, not hitting an exact experience band.

This role may not be a fit if you:

• Want a big-company structured environment with clear lanes
• Need detailed specs before you can start
• Prefer predictable, steady-paced work — we move fast and priorities shift

 

Technical Challenges You’ll Face

This isn’t generic backend work. Real problems you’ll encounter:

• Integration complexity at scale: 100+ vendor APIs, each with different auth mechanisms, rate limits, pagination styles, and data models. Documentation quality varies wildly.
• Entity resolution: Correlating identities and devices across systems that don’t agree on anything — different IDs, naming conventions, timestamps, schemas.
• Time-series analytics: Risk scoring with aggregation windows, fencepost errors, backfill scenarios, and real-time updates.
• Multi-tenancy: Row-level isolation, per-customer feature flags, handling customers with 10 users vs 10,000.
• Reliability: Graceful degradation when vendor APIs fail, retry strategies, dead-letter queues, idempotency.

 

Interview Process

1. Initial screen (45 min) — Background, motivation, mutual fit, and a short coding exercise
2. Coding interview — You’ll write real code. Go preferred, but we can accommodate other languages. Expect to debug, refactor, and explain your reasoning.
3. Technical discussion — System design or deep dive on a past project. We want to see how you think about tradeoffs.
4. Final conversation with founders — Culture fit, questions about the company, what you’re looking for

We move fast. Expect the full process to take 1-2 weeks if schedules align.

 

Why Anzenna

• Small team, high ownership: Your code ships to production, not into a backlog. No waiting for approval chains.
• Real technical depth: Building reliable integrations with 100+ platforms is genuinely hard. This is systems work, not gluing APIs together.
• Security domain expertise: If you’re interested in security, you’ll learn how enterprise security infrastructure actually works — identity, endpoint, cloud, threat intel, compliance.
• Modern stack: Go, GCP serverless, event-driven architecture, AI/LLM integration. Not legacy maintenance.
• Founding team knows the space: Team from Atlassian, Google, LinkedIn, Microsoft, Sophos, Yahoo. We’ve built and shipped security products at scale before.
• Autonomy: We trust you to own your work. Minimal meetings culture, no micromanagement, no lengthy approval chains, no death-by-committee.

 

How to Apply

Email jobs@anzenna.ai with:

• Resume
• Brief intro (why Anzenna?)
• Links to your work (GitHub, portfolio, etc.)

If you found this on LinkedIn, mention it.

We’re building security tools that people actually use — not shelfware that gets bought and ignored. If that sounds interesting, let’s talk.

Apply Now

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