UKG jobs in alpharetta ga united states

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Lead the exploration and implementation of state-of-the-art GenAI techniques to enhance product value and drive a competitive edge. Mentorship & Culture Building: Mentor and influence senior engineering leaders, fostering a culture of AI excellence, thought leadership, and continuous innovation. Champion best practices in AI/ML development, CI/CD processes, and quality assurance to ensure high standards across the organization. Community Engagement: Act as an ambassador for generative AI internally and externally, representing UKG in the AI community through publications, speaking engagements, and industry forums. Scalable Solutions: Oversee the deployment of large-scale AI models, ensuring they are optimized for performance, cost, and resource efficiency in production environments. Establish guidelines for high-quality, production-ready AI/ML systems that can scale with business needs. Governance & Standards: Define and enforce development methodologies, CI/CD standards, and architectural guidelines for AI solutions. Maintain documentation of architectural decisions and technical roadmaps, ensuring a sustainable foundation for future AI-driven capabilities. Educational Background: PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience. Experience: 12+ years in software development and AI, with at least 5 years of hands-on experience in generative AI, NLP, or related fields. Proven expertise in architecting and deploying large-scale AI/ML systems in production environments. Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and MLOps practices for large-scale model training and deployment. 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US citizenship Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role Proven track record of leading and delivering large-scale, complex software projects Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript Experience with cloud platforms like Azure, AWS, or GCP Extensive experience with software architecture and design patterns Strong understanding of cloud technologies and DevOps principles. We thrive on in-person collaboration, and work in a hybrid model. 3 days per week in the Lowell office is a requirement. 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GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. 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Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893381299704", "isPrivate": false, "latlongs": "33.7489954,-84.3879824"}, {"id": 893379278103, "name": "Mgr. 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Manage Citrix environments to ensure optimal performance and user experience. Ensure the reliability, scalability, and security of our cloud and on-premise services. Collaborate with engineering and operations teams to develop and maintain infrastructure as code (IaC) practices. Implement and manage automation tools to streamline operations and improve efficiency. Oversee the use of Tanium patching tools for system updates and security. Monitor and optimize cloud and on-premise infrastructure performance, availability, and cost. Develop and maintain disaster recovery and business continuity plans. Stay up-to-date with the latest cloud and on-premise technologies and best practices. Provide tools, procedures, and solutions for provisioning resources in a standardized manner. Document all infrastructure setups, including Run Books and architecture diagrams for existing and new deployments. Implement processes to ensure IT best practices, risk mitigation, and capacity planning. Ensure compliance of our systems in a complex regulatory environment o At least 8 years of leadership experience managing large-scale cloud and virtual infrastructures. o 8+ years of experience building or configuring cloud infrastructures, both on-premise and in public clouds like Google Cloud Platform (GCP), AWS, or Azure. o Strong knowledge of Python, PowerShell, vROPs, Zerto, and automation tools such as Terraform and Ansible. o Extensive experience with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and centralized logging solutions like Splunk. o Experience with patching tooling and process (Tanium preferred) o  Strong understanding of Backup and Data Protection best practice o Experience with Veam and or Comvault preferred o Experience with containerization technologies (Docker, Kubernetes) and microservices architectures. o Strong scripting skills in multiple languages (e.g., Python, Bash, PowerShell), with the ability to automate infrastructure management. Familiar with ITIL processes, with a proven track record in delivering high-quality systems. Experienced in DevOps practices and CI/CD tooling such as Jenkins and GitHub. Familiar with infrastructure test automation and Site Reliability Engineering (SRE) principles. Strong experience with services' lifecycle management, from development to deployment and scaling. Ability to multi-task and manage multiple projects simultaneously. Strong written, verbal, and presentation skills. Passion for technology and driving business success through innovative solutions. Proven ability to lead teams, mentor others, and manage projects efficiently. Flexible and quick learner, able to adapt to new technologies and environments swiftly. Availability for rotational on-call support as needed. GCP certification Experience with security frameworks and compliance standards (e.g., ISO 27001, FedRamp, HIPAA, GDPR). 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Design, implement, and manage phishing and smishing simulations and testing campaigns to improve employee awareness and response to these threats. Develop, collaborate and execute strategic communication plans to promote a security culture across the organization. Collaborate with senior leadership and various departments to identify training needs and tailor programs; accordingly, as well as manage the specialized internal training requirements for the security team. Evaluate the effectiveness of security awareness initiatives and implement improvements based on feedback and metrics. Provide regular reporting to senior leadership on the effectiveness of the program and recommendations for program improvements. Stay abreast of the latest security trends, threats, and technologies to ensure training and awareness content is current and relevant. Organize and oversee security awareness events, workshops, webinars, interactive training courses, and campaigns. Develop engaging and informative security awareness content, including articles, newsletters, and training materials. Provide expert guidance and support to employees on security-related issues and inquiries. Maintain and enhance security awareness materials and resources. 8-10+ years of experience developing and delivering security awareness training programs and content. 8-10+ years of experience with phishing tools and Learning Management Systems (LMS) Bachelor's degree in Information Security, Cybersecurity, Communications, Education, Instructional Design, or a related field. Deep understanding of security principles, threats, and best practices. Proven ability to work independently and collaboratively in a team environment. Proficiency in using various communication tools and platforms. Strong project management skills with the ability to handle multiple initiatives simultaneously and meet deadlines. Master's degree in Information Security, Cybersecurity, Communications, Education, Instructional Design, or a related field. 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Oversee the design, development, and deployment of software solutions, ensuring best practices for scalability, reliability, and security. Collaborate with cross-functional teams to ensure seamless integration and deployment of applications, acting as a strategic advisor. Drive the adoption of new tools and technologies, staying ahead of industry trends to enhance the software development workflow and improve efficiency. Establish and maintain CI/CD pipelines, designing and implementing automated testing and release processes. Optimize software performance, monitoring ongoing operations, and implementing proactive solutions for issues and bottlenecks. Evaluate and recommend new tools and technologies to enhance the software engineering workflow. Act as a subject matter expert for software engineering practices, providing strategic advice and influencing key decisions within the organization. Lead large initiatives with substantial risk, visibility, and complexity, ensuring successful implementation and integration. 2+ years as a Software Engineering Manager or DevOps Manager, leading the development and delivery of complex and scalable software solutions. Extensive expertise in cloud platforms (AWS, Azure, or GCP) and proficiency in designing and managing cloud resources. Strong knowledge of configuration management tools such as Terraform and Ansible. Excellent scripting and automation skills using languages like Python, Bash, or PowerShell. Proven ability to technically lead and mentor a team, fostering a collaborative and high-performance culture. Ability to troubleshoot and resolve complex software issues in production environments. In-depth knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. Solid understanding of networking concepts, security principles, and software hardening practices. Experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI/CD, or CircleCI. Exceptional problem-solving and communication skills, with the ability to effectively collaborate with cross-functional teams. Bachelor's or master's degree in computer science, engineering, or a related field. 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Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose -- a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose -- people -- then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. About the Team: You will be part of the Cloud Infrastructure Team, a dynamic group dedicated to creating innovative solutions that drive our business forward. This team is special because of its collaborative spirit and commitment to excellence. About the Role: As an Infrastructure Systems and Storage Engineer, you will play a crucial role in managing and optimizing our global network and services. Manage and optimize infrastructure: You'll handle public cloud infrastructure and VMware environments, ensuring optimal performance and resource consumption. Monitor and maintain system health: You'll detect issues, monitor system health, and ensure compliance with standards. Develop and maintain documentation: You'll create and update technical documentation, including Run Books and architecture diagrams. Collaborate with cross-functional teams: You'll work with IT, Technical Operations, and DBA teams for growth and capacity planning. Participate in 24x7 support rotation: You'll handle escalations and provide system support. Research and implement new technologies: You'll identify gaps and offer recommendations for improvements. About You: This position may perform work with the U.S. government therefore Ideal candidate should be a U.S. citizen Existing or previous Government Security Clearance preferred, or ability to obtain appropriate security clearance is required Basic Qualifications: 4+ years of experience managing infrastructure (ie. VMware, Openstack, HyperV, Public Cloud, etc.) Proficiency with automation tools like Terraform and Ansible. Experience with cloud platforms (Google Cloud, AWS, Azure). Strong scripting skills in Python, PowerShell, Bash, or Perl. Excellent communication and problem-solving skills. Preferred Qualifications: Experience with monitoring and logging tools like Prometheus, Grafana, and Splunk. Familiarity with CI/CD processes and DevOps practices. Knowledge of container technologies (Docker, Kubernetes). Understanding of Site Reliability Engineering (SRE) principles. Experience with security frameworks and compliance standards (e.g., ISO 27001, FedRamp, HIPAA, GDPR). VMware certification and GCP knowledge are a plus. Where we're going: UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com. The pay range for this position is $88,700 to $127,500, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. 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Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability. Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. Advanced AI Product Development: Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures. Drive innovation by exploring and integrating emerging AI technologies and best practices. Mentorship & Team Growth: Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence. Elevate the team's capabilities through coaching, training, and providing guidance on best practices and complex problem-solving. End-to-End Ownership: Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production. Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals. Collaboration & Influence: Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions. Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact. Operational Excellence: Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems. Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability. Innovation & Continuous Improvement: Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities. 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