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Mac Client Platform Engineer Jobs in Illinois (NOW HIRING)

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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 job categories do people searching Mac Client Platform Engineer jobs in Illinois look for?

The top searched job categories for Mac Client Platform Engineer jobs in Illinois are:

What cities in Illinois are hiring for Mac Client Platform Engineer jobs?

Cities in Illinois with the most Mac Client Platform Engineer job openings:

Hadoop / Big Data Platform Engineer - SME

SSV Technologies Inc

Chicago, IL โ€ข On-site

Other

Posted 2 days ago

New


Job description

Job Details:
Job Title: Hadoop / Big Data Platform Engineer โ€“ SME
Job Location: Chicago, IL / Charlotte, NC (3 Days onsite, 2 Days Remote) Hybrid role.
Job Type: 4+ Months contract
Pay Range:  the rate may be negotiable based on experience, education, geographic location, and other factors.
 
Job Descriptions:            
Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, HBase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor-based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks. Hadoop Engineer is involved in the full life cycle of an application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with clients, development teams, vendors, and other partners. The following section is intended to serve as a general guideline for each relative dimension of project complexity, responsibility, and education/experience within this role.
 
  • Works on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise
  • Team member will be expected to provide subject matter expertise in managing Hadoop and Data Science Platform operations with focus around Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker-Container Cluster Management and Administration
  • Integrates solutions with other applications and platforms outside the framework
  • He / She will be responsible for managing platform operations across all environments which includes upgrades, bug fixes, deployments, metrics / monitoring for resolution and forecasting, disaster recovery, incident / problem / capacity management
  • Serves as a liaison between client partners and vendors in coordination with project managers to provide technical solutions that address user needs
  • Experience on L1, L2 L3 level support in Hadoop Platform
  • Experience in Yarn , Spark and Impala job debugging and troubleshooting
  • Experience in addressing issues around Name node , HDFS Space , File/Folder Permission backups
  • Understanding and experience in experience in query performance tuning and resource utilization tuning
  • Technical knowledge on relational databases, data warehousing and SQL skills
  • Hadoop, Kafka, Spark, Impala, Hive, HBase, Ozone etc.
  • Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator''s role
  • Intimate knowledge of fully integrated AD/Kerberos authentication
  • Experience setting up optimum cluster configurations
  • Debugging knowledge of YARN.
  • Hands-on with analyzing various Hadoop log files, compression, encoding, file formats
  • Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres
  • Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure.
  • Experience in Monitoring Alerting, and Job Scheduling Systems
  • Being comfortable with frequent, incremental code testing and deployment
  • Strong grasp of automation / DevOps tools Ansible, Jenkins, SVN, Bitbucket
 
Tools Involved -
ETL tools: Hadoop Stack
Job Scheduling tools: Autosys
BI tools: Tableau ; Tableau dashboard building connecting Hadoop-Hive Tables is equally preferred
 
Shift Timings: 8AM 5PM / 12:30PM ET 9:30PM ET
 
Desired Qualifications:
Experience working on Big Data Technologies
Cloudera Admin / Dev Certification
Certification in Cloud, Docker-Container, OpenShift Technologies