Staff Site Reliability Engineer

Jobtailor; California (MO); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking an experienced SRE/DevOps leader to design, build, and scale a secure AI-native platform. Own reliability, automate deployments, and drive incident response across cloud environments (AWS/GCP).

Candidates should have deep cloud experience, strong IaC (Terraform/Pulumi), observability expertise, and leadership across multi-stakeholder teams; cybersecurity familiarity is a plus in a high-growth enterprise SaaS setting.

Qualifications

• SRE/DevOps or software/systems engineering with 10+ years managing production systems at scale.
• Deep expertise in AWS/GCP/Azure and Kubernetes/EKS/GKE, networks, and storage.
• Extensive IaC experience with Terraform, Pulumi, or similar tools.
• Hands-on observability stack knowledge with Prometheus, Grafana, ELK, Datadog.
• Solid understanding of microservices, distributed databases, and event-driven systems.

Responsibilities

• Design, build, and maintain highly available, scalable infrastructure.
• Develop internal tooling to streamline deployments, incident response, and capacity planning.
• Monitor performance and optimize for low-latency AI workloads.
• Lead incident response, post-mortems, and implement long-term solutions.
• Collaborate with Product and Security to bake reliability into the development lifecycle.

Skills

SRE/DevOps/Software Eng

Cloud Infra (AWS/GCP/Azure)

Terraform/Pulumi

Observability (Prometheus/Grafana/ELK/

Distributed Systems

Clear Communication

Leadership in multi-team initiatives

Analytical problem-solving

Cybersecurity domain knowledge

AI/ML infra familiarity

Startup mentality

Agentic Workflows

Tools

Kubernetes (EKS/GKE)

Prometheus

Grafana

ELK

Datadog

Terraform

Pulumi

Agentic Workflows

SIEM

EDR

Job description

• System Resilience: Design, build, and maintain highly available, scalable, and secure infrastructure to support our AI-native cybersecurity platform.
• Automation & Tooling: Develop internal tooling and automation to streamline deployment processes, incident response, and capacity planning.
• Performance Engineering: Monitor system performance and proactively identify bottlenecks, optimizing infrastructure for low-latency, high-throughput AI workloads.
• Incident Management: Lead incident response efforts, conduct post-mortems, and implement long-term solutions to prevent recurring reliability issues.
• Infrastructure as Code (IaC): Manage infrastructure via code, driving consistency, auditability, and scalability across our cloud environments (e.g., AWS, GCP).
• Cross-Functional Collaboration: Partner with sibling Engineering teams, Product, and Security teams to ensure reliability is baked into our development lifecycle from concept to production.

Requirements

• Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering, particularly in managing production systems at scale.
• Cloud Infrastructure: Deep expertise in public cloud environments (AWS, GCP, or Azure) and managing services such as Kubernetes (EKS/GKE), networking, and storage.
• Infrastructure as Code: Extensive experience with tools like Terraform, Pulumi, or similar technologies to manage complex infrastructure deployments.
• Observability: Hands-on experience with monitoring, logging, and tracing stacks (e.g., Prometheus, Grafana, ELK, Datadog) to drive data-informed reliability decisions.
• Distributed Systems: Solid understanding of microservices architecture, distributed databases, and event-driven systems.
• Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
• Leadership Alignment: Proven track record of guiding multi-stakeholder initiatives and influencing engineering practices across teams.
• Analytical Rigor: Strong problem-solving, debugging, and analytical skills, especially in high-pressure environments.
• Domain Background: Prior work in cybersecurity, specifically regarding SIEM, EDR, or SOAR infrastructure is nice-to-have.
• AI/ML Infrastructure: Experience supporting infrastructure for large-scale AI/ML workloads (e.g., GPU scheduling, LLM serving optimization) is nice-to-have.
• Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS is nice-to-have.
• Strong familiarity with Agentic Workflows such as Agno, Temporal, etc. is nice-to-have.

Core Competencies

Demonstrates expertise in designing and maintaining scalable, secure cloud infrastructure, with a strong focus on automation, performance engineering, and incident management. Proven ability to collaborate across teams and drive reliability in AI-native cybersecurity platforms.

Highest-signal resume keywords

• 10+ Years Experience in SRE, DevOps, or Software Engineering
• Deep Expertise in AWS, GCP, or Azure
• Extensive Experience with Terraform or Pulumi
• Hands-On Experience with Prometheus, Grafana, or ELK
• Strong Problem-Solving and Analytical Skills

ATS Optimization Keywords

Hard Skills

• Infrastructure as Code
• Performance Engineering
• Incident Management
• Cloud Infrastructure Management
• Distributed Systems Understanding
• AI/ML Infrastructure Support
• Automation Development
• Monitoring and Observability
• Capacity Planning
• Microservices Architecture

Soft Skills

• Clear Communication Skills
• Collaborative Problem-Solving
• Leadership in Multi-Stakeholder Initiatives

Industry Keywords

• Cybersecurity
• AI-Native Platforms
• High-Impact Engineering
• Startup Mentality
• Enterprise SaaS

Tools & Technologies

• Kubernetes (EKS/GKE)
• Prometheus
• Grafana
• ELK
• Datadog
• Terraform
• Pulumi
• Agentic Workflows
• SIEM
• EDR