Manager of DevOps, SRE & AI Infrastructure, AppZen

• 8+ years of experience in Platform Engineering, DevOps, SRE, or Cloud Infrastructure, with hands-on coding (Python and/or Go preferred)
• 3+ years of hands-on SRE experience, including SLOs, error budgets, incident management, and reliability improvements across production SaaS systems
• Experience operating AI/LLM systems in production, including workflows, latency/cost optimization, and failure handling
• 2+ years of engineering management with direct reports in DevOps or SRE teams
• Deep expertise in AWS, Kubernetes (EKS), Linux, and networking, with infrastructure-as-code experience using Terraform
• Strong observability and CI/CD practices (metrics, tracing, alerting, GitHub Actions, ArgoCD, Jenkins, etc.)
• Experience with SQL and NoSQL databases (PostgreSQL/Aurora, Cassandra, DynamoDB, or MongoDB)
• Active practitioner of AI-assisted engineering tools (GitHub Copilot, Cursor, Claude, ChatGPT, or similar) to improve workflows and team productivity
• Demonstrated use of AI-assisted development tools such as GitHub Copilot, Cursor, Claude, or ChatGPT in day-to-day DevOps, SRE, or infrastructure work
• Ability to describe concrete ways AI tools have improved engineering velocity, reduced operational toil, or improved incident response
• Interest in evaluating and piloting new AI-driven tooling for infrastructure automation, alert triage, and operational workflows

Desirable

• In this role, success means making AppZen’s cloud platform more reliable, resilient, and easy to operate, with strong monitoring and observability that meets enterprise customer expectations. You will build repeatable pipelines for AI and LLM workflows, including versioned prompts, automated testing, and quality checks
• You’ll ensure safe, traceable, and cost-conscious operation of multi-step AI workflows. Success also means fostering a culture of reliability across the engineering team with clear service-level objectives and blameless post-mortems. Finally, you’ll grow and mentor your team, helping engineers advance while effectively using AI tools to improve day-to-day work and overall productivity
• Own and operate AppZen’s cloud and Kubernetes infrastructure, including AWS services (VPC, IAM, EKS, RDS/Aurora, S3) and Terraform-based provisioning
• Lead reliability and observability efforts with metrics, logs, tracing, alerts, and incident response to continuously improve service uptime and performance
• Define and manage service-level objectives (SLOs), error budgets, and reliability practices across multi-service architectures
• Build and scale AI and LLM pipelines, ensuring safe execution, cost/latency controls, and high-quality outputs for production workflows
• Establish LLMOps quality and evaluation practices, including automated testing, regression monitoring, and tracking AI-specific failure modes
• Lead, mentor, and grow a high-performing DevOps/SRE team, promoting AI-assisted engineering tools and automation best practices
• Drive cross-functional collaboration across Engineering, Product, and Customer Success on platform, reliability, and AI infrastructure initiatives
• Ensure security and compliance readiness, including SOC2/ISO 27001 standards, access controls, and best practices for sensitive data handling