Manager, Site Reliability Engineering

Aya Healthcare is a rapidly growing workforce solutions provider in the healthcare industry, dedicated to delivering tech-enabled services for managing contingent labor needs. They are seeking a highly experienced Manager of Site Reliability Engineering to lead a team focused on product and platform reliability while driving AI-native operations and automation to enhance performance.

Responsibilities:

• Lead and grow the SRE team
• Lead, mentor, and grow a team of high-performing Site Reliability Engineers across hiring, performance management, career development, and on-call rotation health
• Set the operating cadence for the team — standups, incident reviews, SLO/error-budget reviews, post-incident learning, and capacity planning
• Build a culture of blameless learning, technical depth, customer empathy, and disciplined ownership
• Partner closely with DevSecOps, Security Engineering, DRE, Incident & Change Management, and product engineering leadership to remove cross-team friction
• Own the reliability strategy for customer-facing products and internal platforms — defining SLOs, SLIs, and error budgets in partnership with product and engineering leadership, and operationalizing them in the release process
• Lead major incident response as senior incident commander for severity-1 events; institutionalize blameless post-incident reviews and ensure systemic fixes ship
• Champion proactive reliability — chaos engineering, game days, failure-mode analysis, capacity and load testing — well before incidents force the conversation
• Manage software release support and 24/7 on-call escalation rotations across the platform surface area, with humane on-call load and clear escalation paths
• Build the AIOps practice — anomaly detection, predictive alerting, intelligent correlation, and automated triage — to drive measurable reductions in MTTD and MTTR
• Operationalize AI-assisted workflows for incident summarization, runbook generation, log and trace analysis, change risk scoring, and post-incident narrative drafting
• Pilot and scale agentic remediation where appropriate, with strict guardrails, audit trails, and human-in-the-loop controls suitable for a HIPAA-regulated environment
• Evolve the observability platform (Datadog metrics, logs, traces, RUM, synthetics, CI Visibility) so engineering teams can operate their own services with confidence and clear ownership
• Treat reliability as a product with a roadmap, measurable outcomes, and an executive-credible narrative — not as overhead
• Drive platform unit economics by partnering with FinOps and platform leadership on cost-to-serve, right-sizing, capacity efficiency, and waste elimination
• Communicate outcomes to executive, product, and customer-facing stakeholders in plain language tied to clinician and client experience
• Uphold HIPAA, PHI, and security obligations across every reliability decision, change, and tool selection

Requirements:

• 10+ years in a combination of Site Reliability Engineering, DevOps, Platform Engineering, or related production-operations roles
• 4+ years of direct people management experience — hiring, performance management, career development, and running remote on-call teams
• Demonstrated ownership of reliability outcomes for customer-facing SaaS at meaningful scale — defining and operationalizing SLOs/SLIs/error budgets and using them to drive engineering prioritization
• Deep Azure experience — 3+ years operating production workloads on Azure, with hands-on depth in AKS, networking, identity, and platform services. Equivalent depth in AWS or GCP will be considered
• Modern observability fluency — production-grade experience with Datadog (or equivalent: New Relic, Dynatrace, AppDynamics) across metrics, logs, traces, RUM, and synthetics
• AI in operations — hands-on experience integrating AI/LLM-assisted tooling into operational workflows (incident summarization, runbook generation, log analysis, anomaly triage, change risk scoring)
• Incident command experience — proven ability to lead severity-1 incidents end-to-end, run blameless reviews, and convert lessons into systemic improvements
• Regulated-environment instinct — operates with HIPAA, PHI, SOC 2, or comparable compliance constraints as a default mindset, not an afterthought
• Executive-grade communication — translates reliability work into business outcomes for executive, product, and customer-facing audiences
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field — or an equivalent combination of education, training, and experience
• Cloudflare at the edge — production experience with Cloudflare CDN, WAF, Workers, Access (ZTNA), Tunnel, Turnstile, and certificate management
• IaC at scale — Terragrunt and Terraform in a multi-environment, policy-gated pipeline; experience evolving IaC from 'it works' to 'it scales safely.'
• CI/CD maturity — GitHub Actions with OIDC/workload identity federation, OPA/Conftest policy-as-code, progressive delivery, and DORA-metric instrumentation
• Container platform depth — Kubernetes/AKS in production, including Helm, ingress, service mesh, autoscaling, and node lifecycle
• ITSM integration — ServiceNow for change, incident, and problem management; experience tying observability and CI data into ITSM workflows
• Identity ecosystem — operating in an Okta / Entra ID / M365 identity environment, including PIM, conditional access, and service-principal hygiene
• Chaos and resilience engineering — running game days, fault injection, and resilience exercises as a routine practice
• FinOps fluency — cost-to-serve, right-sizing, capacity efficiency, and unit-economics work in cloud environments
• Agile delivery — Scrum/Kanban delivery with Jira; comfortable operating in a quarterly planning + continuous-delivery cadence