Level

Cato Networks

Senior SRE - Government Cloud Operations

Cato Networks is hiring a Senior SRE - Government Cloud Operations. Level rates it ; you can apply on Cato Networks.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions AI agents among its tools and skills.
  • Level classes it as a senior role.
  • Cato Networks has 107 other open roles on Level.

AI in this role

ai-agents

Cato Networks is the converged network and security cloud for the AI era. 

As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. 

Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. 

Description

We’re seeking a Senior Site Reliability Engineer with hands-on experience building and sustaining regulated cloud platforms through FedRAMP High / IL4 operational lifecycles, including continuous monitoring and post-ATO operational management.

In this critical role, you will support our growing operations, network, and systems environments. You will play a pivotal role in administering internal platforms while participating in key architectural and operational decisions. This position offers the opportunity to innovate, establish best-practice processes, and continuously improve the reliability, security, and compliance posture of our regulated cloud environments.

Responsibilities

  • Own production operations for mission-critical services, including availability, latency, scalability, and operational health across complex distributed systems.
  • Design, build, and operate highly available cloud infrastructure supporting regulated environments, including FedRAMP High / IL4+ deployments.
  • Lead major incident response, root cause analysis, and postmortem remediation; drive operational maturity through change governance, disaster recovery testing, and service resiliency programs.
  • Operationalize compliance requirements, including NIST 800-53 controls and STIG baselines, across Kubernetes platforms, Linux systems, container runtimes, and cloud infrastructure.
  • Support regulated environment readiness through audit preparation, evidence collection, vulnerability management, configuration management, and continuous monitoring activities.
  • Develop automation and tooling to continuously assess and maintain platform compliance posture; contribute to immutable, reproducible infrastructure patterns that simplify regulatory sustainment.
  • Implement and maintain secure CI/CD pipelines and infrastructure-as-code practices aligned with security and compliance requirements.
  • Improve observability across infrastructure and applications through metrics, logging, tracing, and alerting; integrate compliance telemetry and configuration auditing into operational workflows.
  • Partner with Security, Compliance, and Engineering teams to improve service reliability, deployment safety, and operational maturity throughout the software lifecycle.

Requirements

  • 7+ years of experience in Site Reliability Engineering, Production Engineering, Cloud Operations, or Infrastructure Engineering.
  • Hands-on experience operating cloud infrastructure in regulated environments such as FedRAMP Moderate/High, DoD IL4/IL5, or equivalent, including AWS GovCloud or other isolated government cloud environments.
  • Experience supporting cloud authorization efforts (ATO) and sustaining environments post-authorization through continuous monitoring, including FedRAMP monthly reporting, vulnerability tracking, and control assessment activities.
  • Strong knowledge of NIST 800-53 controls, vulnerability remediation SLAs, secure configuration management, and audit evidence generation.
  • Deep experience with Infrastructure as Code (Terraform preferred), GitOps workflows, and secure CI/CD pipelines, including container hardening and image security practices.
  • Proficiency in Python, Go, or Bash for operational automation and tooling development.
  • Proficiency with cloud-native technologies including Kubernetes, Prometheus, and Grafana, along with a solid understanding of Linux/Unix operating systems.
  • Experience supporting production operations for SaaS, cloud service provider, or multi-tenant platforms at scale.
  • Ability to communicate operational risk and compliance posture clearly to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience working directly with 3PAOs, auditors, or compliance assessors during authorization and continuous monitoring cycles.
  • Familiarity with STIG implementation across Kubernetes, Linux systems, and container runtimes.
  • Understanding of Zero Trust architectures and secure access platforms.
  • Experience with operational resilience exercises and disaster recovery validation.

Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. 

As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.

#LI-GG1

How we rate this

Senior SRE - Government Cloud Operations at Cato Networks rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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