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Mac Client Platform Engineer Jobs in Arizona (NOW HIRING)

ABOUT THE ROLE Our Senior Media Platform Engineer role will build and operate the workflow ... Collaboration & Client Outcomes (Internal + External) * Work across engineering teams and ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Ability to travel 0-25%, on average, based on client and project needs. * Must be legally ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... deliver exceptional client service. We combine advanced business management technology with ... Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role ...

Technology Engineer - SRC

Phoenix, AZ · On-site

$67K - $172K/yr

Participate in system design consulting, platform management, and capacity planning. Create ... Provides a systematic analysis on client requirements within the traceability framework and ...

Infrastructure Engineer

Tempe, AZ · Hybrid

$103K - $135K/yr

Drive improvements in delivery of client hardware to consumers. * Improvements to the Mac ecosystem ... Demonstrating tremendous learning agility - continuously learning about new platforms, technologies ...

Showing results 21-40

Mac Client Platform Engineer information

What does a Mac Client Platform Engineer do?

A Mac Client Platform Engineer is responsible for designing, deploying, and maintaining the infrastructure and tools needed to support Apple Mac devices within an organization. They focus on ensuring Macs are secure, up-to-date, and efficiently integrated with company systems. This role often involves automating device provisioning, managing software deployments, and troubleshooting issues specific to the Mac ecosystem. It requires expertise in macOS, scripting (like Bash or Python), and management tools such as Jamf or Munki.

What are the key skills and qualifications needed to thrive as a Mac Client Platform Engineer, and why are they important?

To thrive as a Mac Client Platform Engineer, you need strong expertise in macOS deployment, device management, scripting (such as Bash or Python), and a solid understanding of networking and security principles, typically supported by a relevant degree or equivalent experience. Familiarity with tools like Jamf Pro, Apple Business Manager, MDM solutions, and experience with automation frameworks are standard requirements. Excellent problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and support end users. These skills and qualities are critical for ensuring secure, scalable, and efficient Mac environments in enterprise settings.

How does a Mac Client Platform Engineer typically collaborate with IT and security teams within an organization?

As a Mac Client Platform Engineer, you will frequently collaborate with IT and security teams to ensure seamless integration of Mac devices into the company's infrastructure. This involves working closely to develop and implement device management policies, automate software deployments, and address security compliance concerns specific to the macOS platform. Effective communication and cross-functional teamwork are essential, as you'll often participate in joint troubleshooting sessions, share best practices, and contribute to company-wide technology initiatives. This collaborative approach helps maintain a secure, efficient, and user-friendly Mac environment for end users.

What is the difference between Mac Client Platform Engineer vs iOS Developer?

AspectMac Client Platform EngineeriOS Developer
Required CredentialsBachelor's in Computer Science, experience with macOS developmentBachelor's in Computer Science, experience with iOS development
Work EnvironmentDevelops macOS applications, works on desktop platformDevelops iOS apps for iPhone/iPad
Industry UsageTech companies, software firms focusing on Mac applicationsMobile app companies, startups, tech firms
Common Search IntentComparing Mac desktop development rolesMobile app development roles

The Mac Client Platform Engineer and iOS Developer roles share similar skills in Apple ecosystem development but focus on different platforms. The Mac Client Platform Engineer specializes in desktop applications for macOS, while the iOS Developer focuses on mobile apps for iPhone and iPad. Both roles require knowledge of Swift or Objective-C and development tools like Xcode, but their target platforms and end-user devices differ.

What are popular job titles related to Mac Client Platform Engineer jobs in Arizona? For Mac Client Platform Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Mac Client Platform Engineer jobs in Arizona look for? The top searched job categories for Mac Client Platform Engineer jobs in Arizona are:
What cities in Arizona are hiring for Mac Client Platform Engineer jobs? Cities in Arizona with the most Mac Client Platform Engineer job openings:

Senior Media Platform Engineer

Fox

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 hours ago


Job description

OVERVIEW OF THE COMPANY

Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.JOB DESCRIPTION

Fox Corporation, under the FOX banner, produces and distributes content through some of the world's leading and most valued brands, including: FOX News, FOX Sports, the Fox Network, and the FOX Television Stations. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

ABOUT THE ROLE

Our Senior Media Platform Engineer role will build and operate the workflow orchestration and integration layer that powers FOX's internal software-defined media services and AI-enabled workflows. This position focuses on developing the "glue" between platforms-workflow engines, microservices, APIs, data stores, and observability-so FOX can reliably deploy, scale, and support AI-assisted media capabilities across production and distribution environments.

This role works closely with multiple engineering teams and operational stakeholders to translate user needs into repeatable, governed workflows (POC pilot production) using modern software engineering practices and cloud-native delivery patterns. You will help FOX standardize how workflows are defined, validated, released, and monitored-especially for high-value AI use cases such as transcription, dubbing, highlights, video/audio analysis, and generative media services.

ABOUT YOU

  • You are excited by new technology and its potential to change how things are done

  • You LOVE getting stuff done, not just talking about it!

  • You take ownership in your products and their success in the company

  • You enjoy building systems that other teams depend on, and you care about reliability and maintainability

  • You can translate ambiguous user needs into clear software requirements, APIs, and deliverable milestones

  • You value automation, testing, and observability as first-class parts of engineering

  • You like working across teams to evaluate options and deliver the best solution-not just "a" solution

A SNAPSHOT OF YOUR RESPONSIBILITIES

Workflow Orchestration & Platform Services

  • Design and implement workflow orchestration for media and AI pipelines (job definitions, routing rules, scheduling constraints, approvals, retries, and error handling)

  • Build and maintain platform services that standardize how workflows are executed and governed across environments (dev/test/prod)

  • Develop reusable workflow templates, SDKs, and integration patterns that accelerate delivery and reduce one-off implementations

  • Implement policy and guardrails for workload isolation (e.g., real-time vs batch vs experimental) in partnership with platform/SRE teams

AI Model Selection, Training & Lifecycle Enablement

  • Partner with AI/ML stakeholders to evaluate model options (build vs buy vs fine-tune), including selection criteria such as quality, latency, cost, and operational complexity

  • Support model implementation into production workflows, including packaging, versioning, deployment patterns, rollback strategies, and reproducibility

  • Contribute to model lifecycle practices such as dataset/labeling requirements, evaluation/benchmarking metrics, A/B testing approaches, and periodic model refresh processes

  • Help operationalize model governance: traceability of model versions, model performance monitoring in production, and release notes tied to workflow versions

Quality Gates, Validation & Operational Readiness

  • Implement workflow-level validation and acceptance checks (input validation, output verification, automated quality gates) to ensure reliable, repeatable outcomes

  • Define "production-ready" criteria for workflows (telemetry, error handling, documentation, runbooks, support handoffs) and enforce them through automation

  • Partner with operations and reliability teams to ensure workflows can be supported in a 24/7 environment, with clear escalation paths and on-call expectations where appropriate

Software Development, CI/CD & Observability

  • Build production-grade services with strong engineering discipline: code reviews, automated testing, secure coding practices, and documentation

  • Implement and improve CI/CD pipelines for workflow services (build, test, deploy, promote, rollback) in partnership with platform teams

  • Ensure services are observable and supportable (structured logs, metrics, tracing, dashboards, and operational runbooks)

  • Perform root cause analysis and automate repetitive operational tasks to reduce toil and improve reliability

Collaboration & Client Outcomes (Internal + External)

  • Work across engineering teams and stakeholders (Broadcast, Video, Monitoring & Control, Networking, Media Infrastructure) to define requirements, evaluate alternatives, and deliver the best solution for FOX workflows

  • Translate user and operator requirements into clear user stories and acceptance criteria ("As a user, I need...")

  • Support internal clients (MCR/operations, production engineering, distribution teams) and, when applicable, improve FOX's ability to support external partners through better reliability, visibility, automation, and repeatable delivery patterns

WHAT YOU WILL NEED

  • 5+ years professional software engineering experience building and operating production services (APIs, microservices, distributed systems)

  • Strong experience with cloud-native development practices: containers, service orchestration concepts, and CI/CD delivery

  • Solid programming ability in one or more common backend languages (e.g., Python, Go, Java, TypeScript) and comfort building RESTful APIs and integrations

  • Experience integrating with data systems (SQL/NoSQL), message/event systems, and modern authentication/authorization patterns

  • Experience evaluating and integrating practical AI/ML capabilities into production systems, including automation, intelligent monitoring, workflow optimization, or developer tooling

  • Strong troubleshooting mindset: ability to debug production issues and implement durable fixes

  • Strong communication skills and comfort working cross-functionally with technical and non-technical stakeholders

NICE TO HAVE, BUT NOT A DEAL BREAKER

  • Experience with workflow orchestration tools or event-driven architectures

  • Familiarity with observability tooling and SRE-style operational practices (SLIs/SLOs, alerting, postmortems)

  • Understanding of modern AI technologies such as LLM APIs, vector databases, and inference services, with the ability to apply them pragmatically in scalable, reliable environments

  • Experience integrating AI/ML inference services, MLOps patterns, or contributing to model evaluation/fine-tuning workflows

  • Familiarity with Kubernetes/OpenShift operations and infrastructure-as-code concepts

  • Exposure to live media/broadcast concepts (helpful, but not required-we can teach)

  • Bachelor's Degree or equivalent practical experience in Engineering, IT, Computer Science or related technical field

#Ll-CC1

#DTC

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-173,000.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

View more detail about FOX Benefits.