software product development 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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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. Ph.D. is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893382736717", "isPrivate": false, "latlongs": "47.6062095,-122.3320708"}, {"id": 893383071874, "name": "Sr Software Engineer", "location": "United States", "locations": ["United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1752614420, "t_create": 1750861117, "ats_job_id": "5abe2fd9-905c-49bb-9334-e99bdb18676d", "display_job_id": "SRSOF014561", "type": "ATS", "id_locale": "SRSOF014561-en", "job_description": "Responsible for collaborating with the Architecture Team to define the company's direction and best practices. Develop software for complex payroll features such as real-time payroll processing, direct deposits, tax services, payroll calculations including tax withholding, voluntary deductions like health insurance, 401K etc., customized reporting. Design and write high-quality object-oriented code that is high-performant, scalable and secure using efficient algorithms and applying various design patterns. Develop Web Services using Microservices and Service Oriented Architecture. Develop and direct software system testing and validation procedures, programming, and documentation. Design and Architect complex components and services for building Human Capital Management (HCM) platform. Design and implement services, components and libraries/APIs for the system. Design data retrieval systems for the payroll components of the human capital management solution. Prepare architectural design documents including flow-charts, UML diagrams, data-flow and sequence diagrams for the end to end system. Identify system bottlenecks and come up with innovative ways to solve business problems using latest technologies/trends in industry. Maintain complex components and product releases for payroll application. Analyzing and resolving production issues including modifying and improving existing software performance. Working with system analysts, product managers, architects and engineers to design systems and obtain information on project limitations and capabilities. Executing software development using agile methodologies, including planning, tracking, implementation, testing and continuous delivery with high quality. Position requires a Master's degree (or an equivalent foreign degree) in Computer Science, Software Engineering or a closely related field and 2 years of experience as a Software Engineer or Computer Systems Engineer. Must also have 2 years of experience (which can have been gained concurrently with the primary experience requirement above) working with the following: Developing web-based application and services using Java, Spring, Spring Security, Servlets, JSP, Quartz Scheduler, REST Web Services, SOAP Web Services in a Linux or Windows environment. Using web technologies including HTML, CSS, Javascript, JQuery, XML, JSON, Ajax. Using database systems including either Oracle or Postgres. Working with Data tier technologies and ORM frameworks including either JPA or Hibernate. Using Application and Web Servers including either JBoss or Websphere or Apache Tomcat. Using Application build tools including either Apache Ant or Apache Maven.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893383071874", "isPrivate": false, "latlongs": "38.7945952,-106.5348379"}, {"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": 1752633081, "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. 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