Director of SRE (FTE)

Key Responsibilities

• Own and execute the SRE strategy and multi-quarter roadmap across reliability, observability, incident management, QA maturity, and release engineering.
• Define, measure, and continuously improve SLAs, SLOs, error budgets, uptime, performance, and operational health metrics across all products and services.
• Lead production reliability for the full platform, including monitoring, alerting, on-call operations, incident response, root cause analysis, and MTTR reduction.
• Establish release readiness standards, deployment safety controls, and quality gates to ensure stable and predictable product releases.
• Manage external SRE vendors and partners, including service delivery, SLA governance, escalations, performance reviews, and compliance expectations.
• Lead QA engineering strategy with a focus on automation, regression prevention, test coverage, and reducing escaped defects in production.
• Partner with Security and Engineering leaders to ensure cloud infrastructure, CI/CD pipelines, and operational tooling meet HIPAA, SOC2, and internal security standards.
• Oversee core platform operations including Azure AKS environments, Kubernetes, GitOps workflows, CI/CD pipelines, GitHub Actions, secrets management, access controls, and audit readiness.
• Drive observability maturity using tools such as Grafana, Prometheus, logging platforms, tracing tools, and automated alerting frameworks.
• Collaborate with Product, Platform, and Engineering teams to embed reliability and quality best practices throughout the software development lifecycle.
• Build, mentor, and scale high-performing SRE and QA teams while fostering a culture of ownership, accountability, learning, and continuous improvement.
• Drive adoption of AI-enabled automation and intelligent tooling to reduce manual toil, improve productivity, and strengthen operational excellence.

Technical Experience

• Strong hands-on experience with cloud infrastructure, preferably Microsoft Azure, including AKS, networking, storage, IAM, and security services.
• Deep expertise in Kubernetes, containerized workloads, and production-scale distributed systems.
• Experience building and managing CI/CD pipelines using GitHub Actions, ArgoCD, Terraform, or similar DevOps tooling.
• Strong background in monitoring, logging, tracing, and observability platforms such as Grafana, Prometheus, Datadog, Splunk, or equivalent.
• Experience with scripting and automation using Python, Bash, PowerShell, or similar languages.
• Strong understanding of release engineering, automated testing frameworks, QA tooling, and shift-left quality practices.
• Experience supporting SaaS applications with uptime, scalability, and security requirements in regulated industries such as healthcare.
• Knowledge of HIPAA, SOC2, vulnerability management, access controls, and infrastructure security best practices.
• Familiarity with databases, APIs, networking, and troubleshooting across modern web application stacks.
• Exposure to AI-powered DevOps / AIOps tooling for incident management, automation, and engineering productivity is a plus.

Requirements

• 12+ years of SRE, infrastructure, or platform engineering experience, with 5+ years of engineering leadership roles.
• Proven track record owning site reliability for complex, multi-tenant SaaS platforms with demanding availability requirements.
• Demonstrated experience defining SLA and SLO frameworks, error budgets, and incident management processes at scale.
• Experience managing vendor relationships for managed infrastructure or SRE services, including SLA governance and performance management.
• Track record leading QA or quality engineering functions, including test automation maturity and release gate ownership.
• Strong communication and cross-functional influence skills — able to represent reliability to both technical and non-technical audiences.

Preferred Qualifications

• Experience in healthcare technology, HIPAA-compliant environments, or other highly regulated SaaS industries.
• Familiarity with FHIR-native or EMR/EHR platform architectures and their specific reliability requirements.
• Experience implementing AI-assisted SRE automation including runbook generation, anomaly detection, or incident triage tooling.
• Background working with Playwright or equivalent test automation frameworks in a QA leadership capacity.
• Experience building internal SRE capability alongside a managed services provider.

Compensation

• Base salary range: $175k-$200k, with variable component and stock options.