Job Closed
This listing is no longer active.
Agile | Adaptive | Ardent
AWS Workspaces Platform Engineer
Location
Florida
Posted
90 days ago
Salary
0
Seniority
Lead
Job Description
AWS Workspaces Platform Engineer
VetsEZ
• Amazon WorkSpaces Platform Engineering • Deploy and manage Amazon WorkSpaces environments • Configure and maintain directory integration (AD Connector / Managed AD) • Create, maintain, and version golden images • Manage bundle selection and optimization • Support WorkSpaces pools (if applicable) • Implement lifecycle management (provisioning, rebuild, restore, decommission) • Monitor WorkSpaces performance and user experience • Troubleshoot latency, login, and connectivity issues • Optimize resource allocation and right-size instances • Support patching and image updates • Implement repeatable deployments using Terraform or CloudFormation • Automate image builds and updates where feasible • Document configurations and deployment patterns • Support incident resolution related to WorkSpaces • Collaborate with VAEC for networking or IAM escalations when required • Maintain configuration documentation • Support audit and compliance evidence gathering
Job Requirements
- 5+ years AWS experience
- 2+ years hands-on Amazon WorkSpaces deployment and operations
- Directory integration (AD Connector / AWS Managed AD)
- Golden image lifecycle management
- WorkSpaces bundle performance tuning
- Strong troubleshooting and operational mindset
- Experience in enterprise or regulated environments
- Familiarity with Infrastructure as Code (Terraform or CloudFormation)
Benefits
- Medical/Dental/Vision.
- 401k with Employer Match.
- PTO + Federal Holidays.
- Corporate Laptop.
- Training Opportunities.
- Remote Opportunity.
Related Guides
Related Categories
Related Job Pages
More Platform Engineer Jobs
Power Platform Developer
Kentro.usKentro, formerly IT Concepts, Inc., is a mission-driven digital modernization and transformation firm founded in the early 2000s and headquartered in McLean, Vi
• Design, develop, and customize SharePoint sites, workflows, and applications. • Implement and manage SharePoint Online and/or On-Premises environments. • Create and maintain document libraries, lists, content types, and metadata structures. • Develop custom web parts, features, and solutions using SPFx, C#, JavaScript, and REST APIs. • Ensure SharePoint governance, security, and compliance standards are met. • Build interactive dashboards and reports using Power BI connected to SharePoint and other data sources. • Optimize data models for performance and scalability. • Implement row-level security and data governance policies. • Collaborate with business stakeholders to design KPIs and visualizations that drive decision-making. • Partner with business analysts, project managers, and end-users to gather requirements. • Provide technical guidance and mentorship to junior developers. • Conduct training sessions and create documentation for SharePoint and Power BI solutions. • Monitor system performance and troubleshoot issues. • Apply patches, updates, and upgrades to SharePoint environments. • Ensure high availability, disaster recovery, and backup strategies.
Senior Platform Engineer
YAZIOWelcome to a healthier life with YAZIO — the leading nutrition app! #remotefirst #teamyazio We're hiring: jobs.yazio.com
• Operating and evolving our Kubernetes landscape (AWS EKS and on-prem via Rancher) • Maintaining and modernizing self-hosted relational databases (MariaDB and PostgreSQL) • Designing internal platform abstractions that reduce cognitive load for Backend and Data teams • Automating manual operational processes and improving deployment consistency • Improving CI/CD architecture and release safety • Investigating and resolving infrastructure-level production incidents • Strengthening observability and monitoring across services • Contributing to the long-term evolution of our cloud-native platform strategy
Senior Power Platform Developer
Sedona DigitalExperts in software development and cloud technologies.
• Design and develop customized PowerApps and Automate applications tailored to business requirements. • Utilize Power Apps formulas and development methods to create both canvas and model-driven apps. • Implement variables (contextual and global), collections, and business rules to enhance app functionality. • Conduct thorough testing and debugging to ensure optimal performance and user experience. • Integrate Power BI reports and dashboards into PowerApps to provide comprehensive data insights. • Design and develop Power BI solutions including data modeling, DAX expressions, and visualizations. • Work with various data sources and utilize import and direct query connectivity modes. • Create and manage calculated columns, measures, and transformations within Power BI. • Connect to various data sources such as SQL Server, OneDrive for Business, and others to pull data into Dataverse and Power BI. • Develop, test, and implement data integration solutions ensuring data integrity and reliability. • Perform database management tasks including backup, restore, and optimization using T-SQL. • Write and maintain DDL/DML/DCL commands for efficient data manipulation and storage. • Engage with stakeholders to gather requirements and manage project lifecycles using agile methodologies. • Provide consistent support and handle production issues and escalations within SLA. • Participate in code reviews and contribute to the continuous improvement of development practices. • Document and communicate project progress, challenges, and solutions effectively. • Stay updated with the latest Power Platform, Power BI, and data integration technologies. • Train and mentor junior team members and share best practices. • Create and maintain technical documentation and user guides.
• Design and build scalable and high-performance data software solutions using Golang and Python. • Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments. • Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements. • Optimize performance, reliability, and security of our backend infrastructure. • Work on data modeling and transformation to support machine learning workflows and AI-powered applications.




