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- $50 to $120 USD / week
e are hiring: Director of Clinical (Remote – Connecticut License Required) · Location: Connecticut-based license required
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Disney Worldwide Services, Inc.

Manager, Systems Reliability Engineering

Orlando, FL, United States
Burbank, CA, United States

The hiring range for this position in Orlando, FL is $165,900 - $222,400 and in Burbank, CA is $174,100 - 233,500.

Apply on join.disneycareers.com About employer

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Job details

Pay: The hiring range for this position in Orlando, FL is $165,900 - $222,400 and in Burbank, CA is $174,100 - 233,500.
Experience: Minimum of 8+ years of experience in observability, monitoring, SRE, or production engineering
Posting language: English
Posted: Nov 12, 2026

Original job description

Job Requirements

Department Description

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world - a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Team Description

The Manager, Systems Reliability Engineering (SRE) will be responsible for the SRE Observability team designs, implements, and continuously improves enterprise observability capabilities that enable proactive detection, faster incident resolution, and improved system reliability.

The Team integrates metrics, events, logs, and traces across applications, infrastructure, and networks, applying AIOps, anomaly detection, event correlation, dashboards, SLOs, and automation to provide a unified view of service health. Working across Operations, SRE, infrastructure, network, and application teams, the team identifies observability gaps and blind spots, improves telemetry and alert quality, and drives measurable reductions in MTTD, MTTR, and reactive outages

What You Will Do

Key Responsibilities:

Build and Lead the Observability Center of Excellence

Establish and operationalize an Observability Center of Excellence (COE), including governance, standards, and adoption models
Define the enterprise observability vision, roadmap, and maturity model aligned to business outcomes
Develop and enforce standards for telemetry (logs, metrics, traces, events), tool usage, and instrumentation
Drive cross-functional alignment across engineering, operations, SRE, and platform teams

Drive Observability Maturity and Transformation

Lead the transition from reactive monitoring to proactive, predictive observability
Perform current-state assessments to identify gaps, redundancies, and opportunities for improvement
Build and execute a multi-phase roadmap toward AI-driven, full-stack observability
Establish and track KPIs such as MTTD, MTTR, alert quality, and system coverage

Improve Monitoring, Alerting, and Signal Quality

Reduce noise and alert fatigue through event correlation, anomaly detection, and tuning
Standardize alerting frameworks and ensure alignment with business priorities
Drive consolidation of observability tooling and improve ROI on monitoring investments
Ensure monitoring coverage across all Tier 0/1 systems and critical services

Develop Unified Observability Platforms & Insights

Deliver centralized dashboards and insights that enable data-driven operational decisions
Create a unified view of system health, customer impact, and service dependencies
Integrate observability into incident response, automation, and AIOps workflows
Ensure observability data enables rapid root cause analysis and continuous improvement

Technical Leadership

Act as a player-coach, directly contributing to architecture, implementation, and troubleshooting
Design and implement observability solutions across cloud, infrastructure, and application layers
Guide instrumentation strategies using modern frameworks (e.g., OpenTelemetry)
Partner with engineering teams to embed observability into the development lifecycle

Governance, Standards, and Continuous Improvement

Establish governance frameworks for observability data, tools, and practices
Define onboarding standards for new systems into the observability platform
Lead continuous service improvement (CSI) initiatives to enhance visibility and reliability
Promote knowledge sharing, documentation, and runbook standardization

Required Qualifications & Skills:

Minimum of 8+ years of experience in observability, monitoring, SRE, or production engineering
Minimum of 3+ years in management roles
Proven experience building or scaling observability platforms or CoE functions
Strong hands-on expertise with observability tools (e.g., Datadog, Splunk, Prometheus, BigPanda, Grafana)
Experience with logs, metrics, traces, and distributed systems observability
Demonstrated success reducing MTTR, MTTD, and improving system reliability
Experience integrating observability into incident management and service operations
Strong understanding of cloud platforms (AWS, Azure, GCP) and modern architectures

Preferred Qualifications:

Experience with AIOps, automation, and predictive analytics
Familiarity with OpenTelemetry and observability standards
Background in large-scale enterprise environments with tool consolidation initiatives
Experience leading cross-functional transformation programs

Education:

Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Disclaimer

PAY TRANSPARENCY

The hiring range for this position in Orlando, FL is $165,900 - $222,400 and in Burbank, CA is $174,100 - 233,500. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate). To learn more about Disney's guidelines on the use of AI for candidates, click here. Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Having technical issues? View the FAQs for help.

Apply on join.disneycareers.com About employer

More about this job

Skills

Incident response
Root cause analysis
Process improvement
Leadership
Troubleshooting
Onboarding
Documentation
Datadog
Splunk
Prometheus
Grafana
AWS
Microsoft Azure
Google Cloud
Computer science

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Work requirements

Jobs in the United States