UKG jobs in seattle wa united states

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Provide technical leadership and support to UKG Pro HR engineering teams. Develop, design, and communicate a clear architectural vision and design for the teams that is aligned with the organization's goals and objectives, while keeping a product suite mindset at the forefront. Understand product requirements, drive for clarity of requirements to ensure the design is fit for purpose, and ensure design supports architecture strategy. Develops technical roadmaps and ensures that services for the suite meet established architectural guidelines and standards. Deep dive into the code to confirm design integrity and maintain a cost-effective straightforward design throughout the teams. Collaborate with cross-functional teams, including developers, operations, and product managers, to gather requirements and ensure architectural design meets the needs of internal and external stakeholders. Collaborate with peers and technical leaders to define/articulate constraints and guidelines. Define and enforce CI/CD standards, development methodologies, and quality assurance processes. Identify and mitigate risks associated with architectural decisions. Anticipate business needs 6+ months out and works with leaders to inject effort. Use resources provided by Architecture Governance on common architecture practices (standards, templates, etc.) to ensure designs and vision reflect our principles and standards. Ensure effective adoption of observability tools for proactive alerting of production performance issues, adopt service-owner mindset to ensure quick recovery from problems, and constantly seek opportunities to improve resilience of services from failures. Leverage artificial intelligence tools to identify productivity improvements for engineering teams, as also value-add features for our users. 2. Document and maintain the product & service architecture. 3. Drive strategic architecture vision and innovation. Identify and evaluate emerging technologies, industry trends, and best practices to ensure the Value Streams scalability, security, and performance. Provide architecture leadership, focusing on creating and maintaining cross-product and multi-year architecture visions. Identify architecture risks, develop mitigation strategies, and maintain architectural opportunities for all stakeholders. Understand how architecture is done across the industry; research new technology trends; identify innovations that can drive a competitive advantage for UKG products. Bachelors/Masters in engineering / Computer Science or equivalent experience 12 years of software development experience in a fast-paced environment, working through all phases of the software development life cycle. Proven experience as a lead architect or similar role, driving the architecture and implementation of complex software solutions. Possess extensive design portfolios showing high proficiency in Java based development technologies for SaaS and Multi-Tenant systems. Experience leveraging observability tools such as Datadog and Grafana for production monitoring. Experience with modern cloud technology (GCP, AWS, Azure, Kubernetes, etc.) and the ability to design a solution that operates optimally in a cloud environment, including cost optimizations, leveraging managed services, observability, etc. Strong exposure for highly reliable, scalable, secure, and decoupled solution Strong exposure of Continuous Integration and Continuous Delivery process (CI/CD) Experience in detailed analysis, feasibility studies, performance analysis and prototyping. Experience in developing Software application for Multiplatform development. Experience in object-oriented programming and design, Service oriented architecture and design patterns. Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels of the organization. Excellent problems solving skills, with the ability to handle the most complex issues. Experience with relational and non-relational database technologies (SQL Server, PostGres, MySQL, MongoDB, Cassandra, etc.) Experience with modern quality practices to effectively automate testing and eliminate manual test processes will be preferred. Experience with artificial Intelligence and machine learning techniques. Experience with modern analytics technology (BigQuery, Snowflake, Tableau, Looker, etc.). Experience with messaging and event streaming solutions (Kafka, RabbitMQ, Apache Beam, Spark, etc.). 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Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast-paced, dynamic environments. Technical Skills: Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Strong experience with AI, machine learning, and deep learning technologies as well as solid understanding of the software development lifecycle, object-oriented programming, concurrency, design patterns, RESTful services, and microservice architecture. AI Tools and Cloud Technologies: Experience with cloud platforms (AWS, Google Cloud, Azure), with a focus on AI/ML deployment (e.g., VertexAI, GKE, BigQuery, Kubeflow, TensorFlow Serving). Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, GitHub Actions, Concourse). Leadership and Collaboration: Strong people management and leadership skills, with experience leading cross-functional teams. Proven ability to mentor engineers, manage competing priorities, and align team efforts with business objectives. Agile Experience: Strong understanding of agile methodologies, with experience leading teams in an agile environment. Knowledge of best practices for managing sprints, tasks, and project timelines. Ability to communicate complex technical concepts to non-technical stakeholders and build strong working relationships across the organization. Experience working with large language models (LLMs) or fine-tuning open-source models like GPT. Familiarity with modern AI development tools, such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines. Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. 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Conduct security research on cloud and AI to ensure a strong code-level skillset around OWASP top 10 and similar vulnerabilities, and be comfortable presenting results. Work with the DevSecOps team to integrate vulnerability detection into CI/CD pipelines and development workflows, enabling shift-left security without friction. Collaborate with thousands of engineers across multiple teams to contextualize and prioritize vulnerabilities based on business impact and threat intelligence. Good understanding of the vulnerability management tool stack, including SAST, DAST, container scanning, dependency scanning, and infrastructure scanning tools (e.g., Checkmarx One, Rapid7, Wiz, etc.). Drive remediation SLAs and reporting in coordination with Product and Engineering leadership. Design and deliver clear, actionable dashboards and reports for engineers, executives, and risk/compliance stakeholders. Partner with DevSecOps, Security Architecture, Security Engineering, and GRC teams to align on enterprise risk and compliance goals. Mentor vulnerability analysts or engineers, while scaling the vulnerability management function through automation and self-service where possible. 7+ years of cybersecurity experience with deep knowledge of vulnerability management in SaaS or tech-native environments. Expertise in both application and infrastructure vulnerabilities, including hands-on familiarity with OWASP Top 10, CVEs, insecure cloud configurations, container risks, and supply chain vulnerabilities. Solid understanding of modern software development practices, CI/CD pipelines, micro services, and cloud-native infrastructure (GCP, AWS, Kubernetes, Terraform, etc.). Demonstrated experience working closely with large engineering organizations and influencing security culture in a fast-paced dev environment. Experience managing security tools and integrating them into automated engineering workflows. Previous experience in a SaaS company with a multi-cloud or cloud-native environment. Security certifications such as CISSP, CSSLP, or cloud-specific certs (e.g., AWS Security Specialty). Experience with vulnerability correlation, risk scoring models, or threat-based prioritization approaches. 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Extensive experience working with Active Directory users and groups. Experience programming with with a major scripting language such as Powershell or Python Experience working with REST API interfaces and technologies. Experience working in a major cloud environment (AWS, GCP or Azure) Bachelor's Degree in Computer Science, MIS, or equivalent experience. Master's degree in computer science, Information Security, or a related field Experience with Terraform, Kubernetes, and Docker is a plus. Experience working with Linux systems and general familiarity with terminal, scripting, ssh is a plus. Relevant certifications such as CIAM, CISSP, CISM, CISA or equivalent IAM vendor-specific certifications Hands-on experience with multiple IAM technologies, such as Identity Governance and Administration (IGA), Single Sign-On (SSO), and Privileged Access Management (PAM).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893380561650", "isPrivate": false, "latlongs": "26.1003654,-80.3997748"}, {"id": 893382407185, "name": "Sr Information Security Engineer", "location": "Weston,FL,United States", "locations": ["Weston,FL,United States", "Lowell,MA,United States", "Seattle,WA,United States", "Atlanta,GA,United States", "Alpharetta,GA,United States"], "hot": 0, "department": "Security/Privacy & Risk", "business_unit": "Security/Privacy & Risk", "t_update": 1752605753, "t_create": 1747149824, "ats_job_id": "7577e1a1-4b6e-4acb-ae8e-7a8cd5968ca9", "display_job_id": "SRINF013650", "type": "ATS", "id_locale": "SRINF013650-en", "job_description": "Company Overview: With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. 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: At UKG, security is at the core of everything we do. This team does cutting-edge work to build out the security technologies, software integrations and security frameworks that are used throughout our organization. About the role: In the continuous pursuit of improving our application and infrastructure security, we are looking for a Sr Information Security Engineer to join our Security R&D team. Take the lead in designing and building out key features for our security-focused enterprise software services. Work with key stakeholders to research the best technology approach to meet business requirements. Mentors the team on technology concepts and ensures team compliance to best practices for design. Mentors the team on the best techniques to debug and troubleshoot issues. Leads activities for converting product requirements into tasks and associated estimates. Develop solutions to improve the performance, stability, and distributed processing capabilities of our cloud-based services. Work productively in a DevOps environment using Docker, Kubernetes, and Google Cloud Platform (GCP). Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals. Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team. Design, implement, and maintain security controls for cloud-native applications and infrastructure across GCP environments. Collaborate with DevOps, Engineering, and Product teams to integrate security into CI/CD pipelines and internal as well as customer-facing applications. Design and enforce IAM policies, roles, and permission models across cloud environments to ensure least-privilege access and secure authentication/authorization workflows. Support and enhance IGA processes by implementing automated provisioning, access reviews, and certification campaigns to maintain strong identity governance controls. Collaborate with Engineering, DevOps, and Security teams to integrate secure identity management practices into application development and cloud deployments. Basic Qualifications: 5+ years of experience as a key developer on major software projects. 5+ years of experience designing and building out major software projects and features. 5+ years of experience programming with either Python, C#, Java or Go. 3+ years of experience working with SQL databases (MySQL or Postgres). 1+ year of experience with modern IGA platform (ie. Saviynt, SailPoint) and cloud-native IAM Services (ie. AWS IAM, Azure AD, GCP IAM). 1+ year of experience working in a major cloud environment, AWS, GCP or Azure. Preferred Qualifications: Experience working with Linux systems and general familiarity with terminal, scripting, ssh etc. Experience with Docker, Kubernetes and/or GCP. Experience in configuring and deploying PAM solutions like CyberArk, BeyondTrust, and Saviynt. Deep understanding of Zero Trust architecture, identity federation (SAML, OIDC, OAuth2), and securing cloud environments. Experience designing and implementing complex role-based access control (RBAC), attribute-based access control (ABAC), and fine-grained permissions models across cloud and enterprise environments. Bachelor's Degree in Computer Science or Engineering; equivalent experience. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process 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 $99,800 to $143,450, 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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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. AI Methodologies: In-depth knowledge of generative AI methodologies, including transformer models, diffusion models, GANs, large language models, and multi-modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic regression, decision trees, and clustering methods. Industry Influence: Recognized thought leader in AI, with a record of publications in top-tier AI conferences/journals (e.g., NeurIPS, ICML, CVPR) and a strong network within the AI research community. Problem-Solving & Strategy: Exceptional problem-solving skills and a proven ability to influence and implement long-term AI-driven strategic initiatives. Compliance & Responsible AI: Experience working in high-compliance environments or with privacy-preserving AI techniques. Strong familiarity with trends in responsible AI, model interpretability, and ethical AI practices. Optimization Expertise: Proven record of optimizing AI models for cost-efficiency at scale through model compression, distillation, and efficient deployment strategies. 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Work with the DevSecOps team to integrate vulnerability detection into CI/CD pipelines and development workflows, enabling shift-left security without friction. Collaborate with thousands of engineers across multiple teams to contextualize and prioritize vulnerabilities based on business impact and threat intelligence. Good understanding of the vulnerability management tool stack, including SAST, DAST, container scanning, dependency scanning, and infrastructure scanning tools (e.g., Checkmarx One, Rapid7, Wiz, etc.). Drive remediation SLAs and reporting in coordination with Product and Engineering leadership. Design and deliver clear, actionable dashboards and reports for engineers, executives, and risk/compliance stakeholders. Partner with DevSecOps, Security Architecture, Security Engineering, and GRC teams to align on enterprise risk and compliance goals. 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Continuously bring ideas to the table and communicate them to leadership. Position all offerings in accounts to drive maximum revenue. Forecasting and key tasks updated daily. Strategic Client Relationship Management Foster and maintain executive-level relationships with C-suite and senior decision-makers in all accounts, leveraging your enterprise selling experience to act as a trusted advisor. Conduct onsite executive business reviews in all assigned accounts, coordinated by the Enterprise Account Executive, bringing key stakeholders from UKG to the table. Coordinate all account communication, both internally and externally. Advanced Sales Strategy Execution Utilize your extensive sales expertise to craft and implement sophisticated sales strategies for all prospects, addressing industry-specific challenges and opportunities to drive demand and close net new customers to UKG. 5-7+ years of proven success selling cloud/SaaS solutions to C-level executives. 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