1,832,374open jobs
105,484companies
269,861added this week
Browse all
Salary
$200k – $325k per year
Location
In office (San Francisco)
Seniority
Staff · 10+ years exp
Visa
H-1B filings in 12 months: 3
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Jun 24, 2026. Serval scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Serval is a San Francisco software company that builds an AI-native enterprise service management and ITSM platform, using agents to automate employee requests, onboarding and offboarding, just-in-time access and help desk tickets. Founded in early 2024 and backed by Sequoia Capital, Redpoint Ventures, Meritech, First Round and General Catalyst, it counts Fox, Notion, Perplexity, Vercel and Brex among its customers and extends into HR, finance, security and legal workflows. It is scaling its go-to-market team with account executives, sales managers, solutions engineers and deployment strategists, alongside recruiters, business systems and brand design roles.

Who We Are

Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end - replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.

At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests - they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.

Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer - a system of agents that sits across business functions and runs the workflows that keep modern companies moving.

We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.

Role Overview

As Infrastructure Security Lead, you'll build and scale the foundations of how Serval secures its cloud, compute, and platform infrastructure. You will set the strategy and drive execution for securing our AWS environments, Kubernetes clusters, container runtimes, and the production systems our customers trust us to operate in; making security a property of the infrastructure itself rather than a control bolted on afterward.

You'll be a hands-on leader with deep technical credibility and strong engineering instincts. You will build and mentor a team, partner closely with Engineering and Product, and ensure that secure-by-default infrastructure, least-privilege access, and strong isolation boundaries are designed into the systems that power Serval.

What You'll Do

  • Design, implement, and operate Serval's infrastructure security program across cloud (AWS), Kubernetes, container runtimes, networking, and CI/CD, including hardening, configuration baselines, workload isolation, and continuous posture management.

  • Own cloud and identity security, driving least-privilege IAM, secrets management, key management, network segmentation, and the guardrails that keep our multi-tenant production environment safe at scale.

  • Secure the container and orchestration stack end-to-end. Image provenance and supply-chain integrity, registry and admission controls, runtime sandboxing and isolation, and Kubernetes hardening (RBAC, network policies, pod security), with particular attention to the isolated workers that execute customer workflows.

  • Build, lead, and directly mentor a team spanning cloud security, platform/Kubernetes security, and infrastructure vulnerability management, hiring and scaling these functions deliberately and proportionately as Serval's platform and customer footprint grow.

  • Drive infrastructure vulnerability management and remediation, partnering with engineering to identify, prioritize, and durably close exposure across cloud configuration, dependencies, base images, and the software supply chain.

  • Embed security into the platform by design, partnering deeply across Engineering, Product, and Infrastructure so that secure defaults, paved roads, and policy-as-code are the easiest path for engineers, not an afterthought.

  • Build infrastructure capable of withstanding sophisticated adversaries, including by using Serval's own agents to solve frontier infrastructure-security and security-engineering problems.

What You'll Need

  • Have 10+ years in cybersecurity with deep expertise in cloud security, infrastructure security engineering, and platform/production hardening.

  • Have deep, hands-on expertise with AWS, Kubernetes, container runtimes (e.g., gVisor/Firecracker-style isolation), and infrastructure-as-code (Terraform).

  • Have deep experience building and leading infrastructure/cloud security, platform security, and vulnerability management teams.

  • Have stellar leadership skills and a demonstrated history of driving durable, continuous improvements to programs, processes, and people.

  • Have strong software-engineering instincts, comfortable reading and writing code, building tooling and automation, and shipping policy-as-code and secure-by-default paved roads alongside engineering teams.

  • Have deep expertise in cloud and identity security primitives: IAM, secrets and key management, network segmentation, workload isolation, and multi-tenant boundary design.

  • Understand modern adversary tradecraft (TTPs) against cloud and container infrastructure, and have demonstrated experience translating it into practical hardening, isolation, and remediation strategies.

  • Are mission-oriented, have unimpeachable integrity, and are passionate about building resilient, defensible infrastructure in a highly complex, fast-paced environment.

What We Offer

  • Impact: Be a key player in shaping the success of our product and company.

  • Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.

  • Culture: Join a culture that values innovation, ownership, accountability, and fun.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,832,374 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Security
Similar stack
Same company
San Francisco
$90k – $190k per year • Remote (United States) • Public Trust • Full-Time • 5+ years exp • United States
Python
SQL
Databases
Snowflake
Databricks
ElasticSearch
AI/ML
Red Teaming
DevOps
Splunk
Azure
AWS
SLI/SLO/SLA
Cybersecurity
CVE
CVSS
EPSS
KEV
SIEM
Analytics
Tableau
Power BI
Apply
$85k – $158k per year • In office • Secret • Bachelor's Degree • Orlando • Grand Prairie
Apply
$113k – $183k per year • Equity • In office • Confidential • Full-Time • 3+ years exp • PhD • United States
Python
AI/ML
Scikit-learn
NLP
TensorFlow
PyTorch
Anomaly Detection
Cybersecurity
Wireshark
Tcpdump
Apply
$163k – $225k per year • Equity • Remote (United States) • Full-Time • 10+ years exp • Austin • Seattle • Chicago • Atlanta • New York
DevOps
Splunk
Cybersecurity
IBM QRadar
SIEM
Apply
≈ $112k – $217k per year (Estimated) • In office • Secret • Full-Time • 7+ years exp • Bachelor's Degree • Huntsville
Python
Go
AI/ML
Claude Code
Model Context Protocol
Vertex AI
LiteLLM
AWS Bedrock
LLM
OpenAI
LLM Guardrails
DevOps
Terraform
Istio
OpenTofu
Azure
CI/CD
GitOps
ArgoCD
AWS
Kubernetes
SRE
Service Mesh
Amazon EKS
IAM
DNS
VPN
BGP
Cybersecurity
FedRAMP
PKI
Apply
DevOps Specialist 23 days ago
$66k – $94k per year • In office • 5+ years exp • Bachelor's Degree • Vancouver
Python
SQL
Databases
Databricks
Azure SQL Database
AI/ML
NLP
DevOps
Terraform
Azure DevOps
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Bicep
GitHub
Analytics
ETL/ELT
Azure Data Factory
Apply
≈ $35k – $75k per year (Estimated) • Hybrid • Full-Time • Kraków
Python
AI/ML
AI Agents
DevOps
Terraform
GCP
Helm
GitHub Actions
CI/CD
Kubernetes
SLI/SLO/SLA
GitHub
Apply
AI Engineer 26 days ago
In office • Mumbai
Python
Java
Python
FastAPI
Java
Spring Boot
Databases
PostgreSQL
Neo4j
pgvector
ElasticSearch
AI/ML
LangGraph
LangChain
Fine-tuning
Langfuse
LangSmith
LLM
OpenAI
Anthropic
OCR
GraphRAG
Human-in-the-Loop
Knowledge Graph
LLM Evaluation
LLM Guardrails
Computer Use
DevOps
Rest API
GCP
OpenTelemetry
AWS
Docker
Apply
QA Engineer 26 days ago
≈ $13k – $27k per year (Estimated) • Remote (EAEU) • 3+ years exp • Moscow
Java
SQL
Java
Gradle
Databases
RabbitMQ
Apache Kafka
DevOps
Rest API
CI/CD
Jenkins
Git
Management
Jira
QA
TestNG
Selenium
Cucumber
Rest-Assured
Apply
$50k – $60k per year (net) • Remote (EAEU) • 5+ years exp • Bachelor's Degree • Moscow
Python
SQL
C++
Bash
C++
CMake
Databases
PostgreSQL
MS SQL
DevOps
Rest API
CI/CD
Linux
Windows
Apply
≈ $145k – $284k per year (Estimated) • Remote (United States) • Full-Time • Master's Degree • San Francisco
Python
AI/ML
Multimodal AI
AI Agents
PyTorch
LLM
OpenAI
Anthropic
Red Teaming
LLM Guardrails
Machine Learning
Apply
$320k – $485k per year • Hybrid • Bachelor's Degree • San Francisco
Python
SQL
Databases
Google BigQuery
BigQuery
AI/ML
Multimodal AI
Anthropic
TPU
AWS Trainium
Interpretability
Machine Learning
DevOps
GCP
Prometheus
Azure
Kubernetes
Grafana
Apply
≈ $70k – $138k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • San Francisco
Apply
Head of Talent 1 day ago
$200k – $250k per year • In office • Full-Time • 2+ years exp • PhD • San Francisco
AI/ML
Cursor
Claude Code
AI Agents
Apply
$200k – $280k per year • In office • San Francisco
Apply
See all jobs
This is one of many
1,832,374 more open roles from verified company boards, updated every day.