Manager, Site Reliability Engineering

CareSource•Dayton, OH
•$94,100 - $164,800

About The Position

The Manager, Site Reliability Engineering leads a team advancing IT operations through automation, self-healing capabilities, and AI-enabled solutions. The role owns the reliability roadmap, drives measurable performance against service level objectives, and strengthens observability and IT Service Management practices to improve service availability, performance, and operational efficiency. This leader develops and delivers reliability, observability, and automation initiatives; establishes performance measures; and guides the organization from ticket-driven operations toward engineering-led reliability practices. The role leads automation, AI-enabled incident management, AIOps, resilience testing, incident response, capacity planning, and observability strategy. It also enhances ITSM, ITOM, and ServiceNow workflows and develops site reliability and observability engineers while partnering with technology teams, stakeholders, security, compliance, AI governance teams, and vendors. The role requires a bachelor's degree in Business, Computer Science, or a related field, or equivalent relevant work experience in lieu of the degree; six years of relevant IT experience, including experience with monitoring tools such as Dynatrace, Splunk, ServiceNow, and robotic process automation; and three years of IT lead or management experience. Experience with distributed systems software in a microservice-style infrastructure and Docker and Linux containers is required.

Requirements

  • Bachelor's degree in Business, Computer Science, or a related field; equivalent years of relevant work experience may be accepted in lieu of the required education.
  • Six years of relevant IT experience, including experience with monitoring tools such as Dynatrace, Splunk, ServiceNow, and robotic process automation.
  • Three years of IT lead or management experience.
  • Experience designing, developing, and providing operational support for distributed systems software in a microservice-style infrastructure.
  • Experience using Docker and Linux containers.
  • Strong leadership skills and ability to inspire cross-functional teams and align IT initiatives with business goals.
  • Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability practices.
  • Demonstrated ability to drive adoption of site reliability culture and practices within a team.
  • Ability to lead a small team to identify roadblocks, run tests, and solve related problems.
  • Fluency in at least one programming language, such as Python, Java, or .NET.
  • Proficiency in software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.
  • Proficiency in continuous integration and continuous delivery tools, such as Ansible, GitLab, or Terraform.
  • Ability to communicate ideas and solutions clearly and in an organized manner and provide clear, effective presentations.
  • Strong familiarity with ServiceNow ITOM.
  • Expertise with Dynatrace, Splunk, and SolarWinds monitoring platforms.
  • Familiarity with Microsoft Azure infrastructure networking, compute, and storage primitives.
  • Knowledge of code management with Git and GitHub workflows.
  • Knowledge of Splunk Search Processing Language (SPL) and the Splunk IT Service Intelligence platform.
  • Excellent analytical and problem-solving skills.
  • Excellent communication skills and ability to collaborate effectively with IT and business teams.
  • Comfort working with a 24/7/365 always-up, always-available production service.
  • Familiarity with incident management and ITIL.

Nice To Haves

  • ITIL Foundation or Practitioner certification.
  • Relevant cloud, Kubernetes, or SRE certifications.

Responsibilities

  • Own and deliver a multi-year reliability, observability, and automation roadmap, translating enterprise priorities into prioritized, measurable engineering initiatives.
  • Establish and monitor reliability performance measures, including MTTR, manual effort reduction, SLO attainment, change failure rate, and automated incident remediation.
  • Lead organizational change by influencing senior stakeholders and transitioning legacy, ticket-driven operations toward engineering-led, automated reliability practices.
  • Champion SRE practices and a customer-centric reliability culture across operations and development teams.
  • Lead development of automation and self-healing capabilities, including runbooks, scripts, infrastructure as code, automated recovery, and scaling.
  • Lead the design, deployment, and governance of agentic AI solutions for incident triage, root-cause analysis, and remediation, with human oversight, auditability, and defined autonomy.
  • Apply AIOps and predictive analytics to detect anomalies, correlate events, and prevent incidents before they affect users.
  • Partner with security, compliance, and AI governance teams to ensure AI-enabled operations meet CareSource policy and regulatory requirements.
  • Collaborate with stakeholders and product owners to translate availability targets into SLIs and SLOs and establish and enforce error budgets.
  • Integrate and enhance CI/CD pipelines to support faster, more reliable releases.
  • Lead Chaos Engineering and regular resilience testing, partnering with application and infrastructure teams to act on findings and sustain feedback loops.
  • Develop incident response plans, lead major incident management, and conduct blameless post-incident reviews that drive sustainable corrective action.
  • Lead capacity planning using usage and performance trends to forecast growth, prevent resource constraints, and support cost-effective scaling.
  • Lead the observability strategy and implementation, establishing standards for telemetry, monitoring, dashboards, and alerting.
  • Enhance ITSM, ITOM, and ServiceNow workflows to integrate observability with automated incident creation, enrichment, and remediation.
  • Lead and develop site reliability and observability engineers, fostering continuous learning, innovation, professional growth, and AI and automation capabilities.
  • Partner across technology teams and manage key vendor relationships to align SRE and observability strategies with business goals and operational readiness.
  • Perform other job-related duties as requested.

Benefits

  • May qualify for a bonus tied to company and individual performance.
  • Substantial and comprehensive total rewards package.
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