Tivity Health is a leading provider of healthy life-changing solutions, and they are seeking an Executive Director for DevOps & Platform Engineering. This role focuses on operationalizing strategic visions through world-class DevOps practices and improving engineering velocity, reliability, and cost-effectiveness.
Responsibilities:
- Owns DevOps (platform reliability, release operations, infrastructure-as-code, automated testing and deployment enablement)
- Owns development tooling including JIRA, JellyFish, CI/CD toolchain, and internal tools that accelerate AI adoption in the SDLC
- Owns engineering metrics & telemetry to measure delivery performance, quality, and operational health
- Owns cloud cost effectiveness (FinOps) across hosting, usage, and optimization, partnering with IT Operations and Engineering leaders
- Standardize and accelerate the path to production. Own the roadmap for automated testing, deployment, and infrastructure-as-code to increase release velocity and reduce change failure rate
- Own and continuously improve the toolchain that enables predictable delivery—JIRA administration/governance, JellyFish engineering analytics, and internal engineering tools (including AI enablement workflows)
- Reduce cognitive load for engineers by automating repetitive tasks, providing self-service workflows, and streamlining onboarding, environments, and build/deploy ergonomics
- Operationalize AI in the development lifecycle, including rollout of AI-assisted coding tools and integrating LLM capabilities into internal engineering workflows with measurable adoption and safety controls
- Drive a rigorous cloud cost-reduction program (strategic hosting cost reduction). Identify waste, right-size infrastructure, improve commitment coverage, and implement automated scaling and guardrails to keep the footprint lean
- Build and maintain interactive dashboards that provide real-time visibility into cloud spend and engineering performance, transitioning from legacy/static reporting to actionable telemetry
- Partner with squads and architecture to embed cost-aware design patterns and runbooks into CI/CD, platform standards, and operational practices
- Establish and enforce consistent engineering standards (definition of done, branching/release practices, quality gates, change management) so improvements scale across the organization
- Define, instrument, and operationalize application and delivery telemetry (e.g., DORA-style metrics, defect leakage, availability, latency, SLO/SLA adherence) with clear accountability and regular business reviews
- Partner with IT Operations, IT Development, and vendors/partners to ensure teams are integrated into CI/CD, security protocols, and platform standards
Requirements:
- Owns DevOps (platform reliability, release operations, infrastructure-as-code, automated testing and deployment enablement)
- Owns development tooling including JIRA, JellyFish, CI/CD toolchain, and internal tools that accelerate AI adoption in the SDLC
- Owns engineering metrics & telemetry to measure delivery performance, quality, and operational health
- Owns cloud cost effectiveness (FinOps) across hosting, usage, and optimization, partnering with IT Operations and Engineering leaders
- Standardize and accelerate the path to production
- Own the roadmap for automated testing, deployment, and infrastructure-as-code to increase release velocity and reduce change failure rate
- Own and continuously improve the toolchain that enables predictable delivery—JIRA administration/governance, JellyFish engineering analytics, and internal engineering tools (including AI enablement workflows)
- Reduce cognitive load for engineers by automating repetitive tasks, providing self-service workflows, and streamlining onboarding, environments, and build/deploy ergonomics
- Operationalize AI in the development lifecycle, including rollout of AI-assisted coding tools and integrating LLM capabilities into internal engineering workflows with measurable adoption and safety controls
- Drive a rigorous cloud cost-reduction program (strategic hosting cost reduction)
- Identify waste, right-size infrastructure, improve commitment coverage, and implement automated scaling and guardrails to keep the footprint lean
- Build and maintain interactive dashboards that provide real-time visibility into cloud spend and engineering performance
- Partner with squads and architecture to embed cost-aware design patterns and runbooks into CI/CD, platform standards, and operational practices
- Establish and enforce consistent engineering standards (definition of done, branching/release practices, quality gates, change management)
- Define, instrument, and operationalize application and delivery telemetry (e.g., DORA-style metrics, defect leakage, availability, latency, SLO/SLA adherence) with clear accountability and regular business reviews
- Partner with IT Operations, IT Development, and vendors/partners to ensure teams are integrated into CI/CD, security protocols, and platform standards
- Deliver measurable cloud/hosting cost reduction through optimization, right-sizing, and guardrails; improved unit economics and spend predictability
- Roll out AI-assisted development capabilities; track adoption and productivity impact; establish governance and safe-use patterns
- Increase number of deployments and reduce lead time for changes through CI/CD maturity and standardized pipelines
- Reduce defect leakage to production via automated testing, quality gates, and consistent release practices
- Define and publish a consistent performance scorecard (delivery, reliability, cost) with dashboards and regular reviews
- Adoption of standard SDLC/DevOps practices across squads with measurable compliance and outcomes
- Increase coverage and quality of application telemetry (logs/metrics/traces), SLOs, and operational readiness across services
- A senior level leader who prefers the 'how' and can translate strategy into durable operating mechanisms, standards, and automation
- Proven ownership of CI/CD platforms and development tooling (e.g., work management systems like JIRA, engineering analytics like JellyFish, and internal productivity tools)
- Experience operationalizing AI-assisted development with measurable adoption, workflow integration, and appropriate governance
- Demonstrated ability to lead hosting cost reduction programs, build cost transparency, and partner with teams to improve cost effectiveness without sacrificing reliability
- Comfort building engineering performance telemetry and using it to drive decisions, prioritization, and continuous improvement across squads
- Strong partner to IT Operations and IT Development; able to influence across the technology leadership team to improve velocity and readiness for future growth