Bright Vision Technologies is seeking a Test Environment Engineer to build, configure, and support stable environments used for software development, integration, performance testing, and release validation.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Provision and maintain application test environments across development, integration, staging, and performance tiers
Automate infrastructure and configuration tasks using scripting and infrastructure-as-code practices
Coordinate application deployments, environment refreshes, service dependencies, and configuration changes
Monitor environment health, investigate failures, and resolve issues involving network, database, middleware, or application components
Document environment architecture, runbooks, access procedures, and operational standards for engineering teams
Design and maintain reliable test-data solutions for application, integration, and analytics testing. The role will build repeatable data provisioning and refresh processes, create representative synthetic datasets, support data masking and quality checks, and help engineering teams obtain accurate test data across development and test environments.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design and implement reusable test-data provisioning, generation, refresh, and cleanup processes.
Build scripts and utilities to create representative datasets for functional, integration, and performance testing.
Work with relational and non-relational databases to profile, transform, validate, and manage test data.
Implement masking, tokenization, and synthetic-data techniques in accordance with approved privacy controls.
Collaborate with QA, developers, data teams, and environment owners to resolve data dependencies and improve test readiness.
Define and guide enterprise automation strategy across web, API, mobile, and service-based applications. This senior hands-on role will establish framework architecture, engineering standards, integration patterns, and quality metrics while mentoring automation teams and aligning test architecture with application and delivery requirements.
Design, develop, and maintain data systems and pipelines that support efficient and reliable ingestion, processing, transformation, and storage of data for a public health organization.
Compensation
$103,500 - $143,500 annually, plus benefits
Responsibilities
Design, develop, and maintain data systems and pipelines
Collect data from multiple sources; cleanse, transform, and validate data
Optimize data pipelines, infrastructure, and workflows
Monitor data pipelines and platforms for performance issues
Implement and maintain appropriate security controls and data governance practices
Requirements
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
Nice to have: Epic Electronic Health Record (EHR) systems
Nice to have: experience working with tribal nations and tribal data sovereignty principles
Nice to have: experience collaborating in remote and virtual work environments
The Data Visualization Specialist will own data visualization development from start to finish, including data collection, preparation, analysis, and visualization, with a focus on drug overdose data.
Compensation
$70,000 plus benefits
Responsibilities
Schedule program-related work, oversee daily operations, coordinate program activities, and set program priorities
Develop graphics and data visualizations to share information related to drug overdose and associated programs
Analyze quantitative and qualitative data to identify trends, interpret findings, and inform dashboard development and reporting
Communicate results through presentations, reports, fact sheets, and data visualizations for stakeholders, internal staff, scientific journals, and other publications
Coordinate with communications department and staff to ensure visuals will be understood by diverse populations and efforts align with organizational and community needs
Requirements
Bachelor’s degree in public health, information sciences, graphic design or a related field
Define and drive enterprise-wide agentic AI strategy on Google's Agent Development Kit (ADK) and other agentic platforms, shaping the future of intelligent automation across UKG's product portfolio.
Compensation
The pay range for this position is $145,600 to $209,300. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation.
Responsibilities
Define enterprise-wide technical strategy for agentic AI across UKG
Architect organization-wide agentic AI capabilities on Google ADK and other platforms
Drive technical decisions across multiple teams and divisions
Pioneer sophisticated multi-agent architectures including hierarchical systems, swarm intelligence, adversarial networks, and hybrid human-agent workflows
Establish organization-wide frameworks for agent safety, governance, and responsible AI
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Develop System Validation plans for Azure's leading HW solutions by incorporating advanced technologies, datacenter use cases and by working across different engineering functions to create systems and modules for Microsoft’s Azure Cloud.
Compensation
The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Design, develop, test, and maintain scalable and reliable solutions for server platforms and CPU/GPU-based systems.
Design and implement application and system software, APIs, libraries, drivers, diagnostic tools, and test frameworks that interface with firmware and hardware components.
Develop extensible, maintainable, and reusable code, and drive design and code reviews to ensure software quality, performance, reliability, and engineering best practices.
Architect and develop automation frameworks and tooling for system validation, hardware qualification, failure analysis, and large-scale testing.
Define and execute system validation strategies to verify software and hardware functionality, integration, performance, reliability, and cloud-scale quality requirements.
Requirements
Bachelor's Degree in Computer Science or related technical field
BS/MS in Electrical/Computer Engineering/ Compute Science or related degree
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