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. 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Ensure high performance by providing regular feedback, coaching, and career development opportunities. AI/GenAI Architecture and Delivery: Oversee the design and delivery of AI and generative AI systems, ensuring that all solutions are scalable, robust, and high-quality. Guide your team to implement innovative AI models, tools, and infrastructure that drive business outcomes. Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the company's thought leadership in AI. Stakeholder Communication: Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non-technical leadership and product teams. Experience: 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role, overseeing AI or machine learning teams. 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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Advanced AI Product Development: o Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures. o Drive innovation by exploring and integrating emerging AI technologies and best practices. Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required. Experience: 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions. o Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain. o Advanced knowledge of AI/ML algorithms, generative models, and LLMs. o Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. o Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). Leadership Skills: Demonstrated ability to lead complex technical initiatives, influence cross-functional teams, and mentor engineers at all levels. Problem-Solving Skills: Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions. Collaboration: Excellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. AI/ML Expertise: Experience with multi-modal models, reinforcement learning, and responsible AI principles. Cloud & Infrastructure: Advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow. Thought Leadership: Contributions to the AI/ML community through publications, open-source projects, or speaking engagements. 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Mentor a small team of vulnerability analysts or engineers, while scaling the function through automation and self-service where possible. 7-10 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, microservices, 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. Strong analytical, communication, and project management skills. 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You will also maintain existing internal code, use cases, and further extend SIEM and SOAR integrations aligned to the Detection Engineering program efforts You will design and engineer Security Operations focused integrations and automations including diagrams, documentation, and threat modeling of what is built You will support the Director of Detection Engineering in directly enhancing the strategic capabilities of the program through complex technical projects Hands on keyboard skills in developing and tuning foundational models, deploying and managing RAG pipelines Data science foundations which include: data preparation, statistical analysis, and applied scripting or integration in at last one major programming language 8+ years of security and hands on technical automation experience, with 5 or more of those years focused on creating use cases and detection focused automation The ability to lead complex projects, other team members, and support building strategic and technical initiatives 5-7 years of operational experience working directly with or in security operational teams including: SOC, Threat Intelligence , and Incident Response Deep understanding of SOC, SIEM, and other engineering best practices, limitations, and ways of extending or customizing threat detection automation related use cases Demonstratable hands-on skills in a major scripting/programming language or a search query language for use in security operations and threat detection Splunk Cloud ES and Splunk SOAR (Phantom) Experience highly preferred Experience with a major public cloud service provider (CSP) preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893380314736", "isPrivate": false, "latlongs": "26.1003654,-80.3997748"}, {"id": 893379180384, "name": "Fellow AI Architect, Generative AI", "location": "Seattle,WA,United States", "locations": ["Seattle,WA,United States", "Lowell,MA,United States", "San Francisco,CA,United States", "Santa Ana,CA,United States", "Montreal,QC,Canada", "Atlanta,GA,United States", "Alpharetta,GA,United States", "Weston,FL,United States", "New York,NY,United States", "Toronto,ON,Canada", "United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1752027738, "t_create": 1731041714, "ats_job_id": "70afb63b-cf62-4ae7-ac21-d19382d60689", "display_job_id": "FELLO009905", "type": "ATS", "id_locale": "FELLO009905-en", "job_description": "Architectural Vision & Strategy: Define and drive the generative AI architecture strategy, ensuring UKG remains at the leading edge of AI innovation. Develop and communicate a cohesive architectural vision that aligns with business goals, enabling the seamless integration of GenAI capabilities across our product suite. Technical Leadership: Serve as the primary technical visionary for generative AI, providing hands-on guidance in advanced methods (e.g., transformer models, diffusion models, GANs) and setting technical standards that ensure scalability, security, and efficiency. Cross-Functional Collaboration: Work closely with executive leadership, product management, data science, and engineering teams to establish and prioritize GenAI initiatives. Collaborate with cross-functional teams to ensure alignment on requirements and objectives, driving the infusion of AI capabilities across products. Innovation & Research: Conduct hands-on, advanced research in generative AI, staying current with emerging technologies, industry trends, and best practices. 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. Cloud & DevOps Knowledge: Strong experience with cloud-native architectures, containerization (e.g., Kubernetes), and CI/CD pipeline automation (e.g., Terraform, GitHub Actions).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893379180384", "isPrivate": false, "latlongs": "47.6062095,-122.3320708"}, {"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": 1752027545, "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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