software product development jobs in seattle wa united states

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Optimize pipelines for performance, reliability, and cost-effectiveness. Build and maintain robust, scalable, and high-performing data platforms, including data lakes, warehouses, and real-time streaming systems. Ensure platform reliability, security, and scalability through proactive monitoring and infrastructure improvements. Implement observability from the ground up, ensuring all systems are testable and monitored effectively. Collaborate with cross-functional teams to align architectural decisions with business goals. Diagnose and resolve technical issues promptly, conducting root cause analyses to prevent recurrence. Build testable data systems and implement automated testing frameworks using tools like PyTest or JUnit. Work in a DevOps model, owning the full lifecycle of data solutions from design to production deployment and support. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. Experience: 5+ years of professional experience in software engineering including 2+ years of experience in data engineering. Proven expertise in building and managing scalable data platforms. Proficiency in Java, Python, and at least 1 more programming language. Expertise in data tools and frameworks like Apache Beam, Google Dataflow, BigQuery, and Dataproc. Strong knowledge of SQL, data modeling, and database systems (e.g., BigQuery, PostgreSQL, MongoDB). Experience with real-time data streaming technologies such as Kafka or Apache Flink. Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Problem-Solving Skills: Exceptional analytical and problem-solving abilities with experience in debugging and optimizing complex data systems. Collaboration & Communication: Strong communication and interpersonal skills with a proven ability to work effectively in cross-functional teams. Familiarity with advanced analytics platforms, specifically Looker. Experience with agile development methodologies and working in a DevOps model. Proven ability to mentor and guide junior engineers. Commitment to continuous learning and professional development. Has 2 years' experience as a unified engineer.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893378481327", "isPrivate": false, "latlongs": "47.6062095,-122.3320708"}, {"id": 893378458612, "name": "Software Engineer - Python (AI Team)", "location": "Seattle,WA,United States", "locations": ["Seattle,WA,United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1733539848, "t_create": 1727273884, "ats_job_id": "b0a7e941-54ce-4e20-8c7f-0db3f03d2b45", "display_job_id": "SOFTW008543", "type": "ATS", "id_locale": "SOFTW008543-en", "job_description": "Learn more at www.ukg.com/careers #WeAreUKG UKG is a leader in the HCM space, and is at the forefront of artificial intelligence innovation, dedicated to developing cutting-edge generative AI solutions that transform the HR / HCM industry and enhance user experiences. We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Software Engineer II, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. 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. Experience with Docker and Kubernetes. Experience with Java and Scala a plus. Software Development: Write clean, maintainable, and efficient code or various software applications and systems. 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. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893378458612", "isPrivate": false, "latlongs": "47.6062095,-122.3320708"}, {"id": 893379217428, "name": "Principal Leadership Development Learning Program Manager", "location": "FL,United States", "locations": ["FL,United States", "MA,United States", "NH,United States"], "hot": 0, "department": "Human Resources", "business_unit": "Human Resources", "t_update": 1733653262, "t_create": 1731396558, "ats_job_id": "594c4180-40be-44cc-852e-8f7a943eb488", "display_job_id": "PRINC009952", "type": "ATS", "id_locale": "PRINC009952-en", "job_description": "Strategic Advisory: Serve as Learning Development subject matter expert by working with HR and business leaders as a trusted advisor. Establish collaborative and trusting relationships across senior executive and management levels to influence strategic outcomes of talent practices. Learning Needs Analysis: Drive effective discovery through use of qualitative and quantitative tools specific to UKG L&D practices looking across UKG and synthesizing themes and business specific opportunities to drive fit for purpose solutions. Solution Design: Collaborate with HR CoEs, HRBPs, and business leaders to imagine, implement and deliver leadership development programs and custom solutions. This is inclusive of the flagship VP leadership development program and associated workshops as well as tailored interventions based on specific business needs and talent strategies. Facilitation: Facilitate the delivery of executive leadership programming and \"main stage\" keynotes for internal programming or to support UKG customer and employee events. Executive Development: Collaborate across the Talent Development Center of Expertise to create and drive targeted development plans based on Talent Review and Succession outcomes to drive specialized development and key capabilities for the next generation of leaders. Learning Tools: Leverage UKG human-centric design processes, templates, procedures, and tools, to develop engaging and impactful learning solutions and toolkits in partnership with our learning experience design team Culture Transformation: Lead and/or participate in miscellaneous initiatives to assess and shape UKG's organizational culture to foster an inclusive, high-performing, and innovative work environment. Significant facilitation experience, both in the classroom as well as in a stage/key-note capacity. Comfort with being front and center to inspire, challenge, influence and captivate audiences with high engagement. Degree and/or significant career experience across Learning Development, Organizational Development, Industrial/Organizational Psychology, Business Administration, or a related field. Minimum of 8 years of experience in learning development, change management, or related fields, preferably in a consulting role. Proven track record of leading successful executive leadership development initiatives and driving measurable impact on talent development and performance. Demonstrated experience in decision making frameworks and governance models. Demonstrated expertise in team development, leadership development, organizational development, change management, and learning experience design. Certifications in change management, coaching and assessment instruments a plus Experience in a global or multinational environment is highly desirable. Proficiency with HCM software, learning management systems, digital learning platforms, and learning measurement tools. Willingness to travel as needed to facilitate programs and engage with global teams. Excellent communication and influencing skills, with the ability to build rapport and credibility with stakeholders at all levels of the organization Extensive experience with main-stage, keynote and executive facilitation Strong understanding of organizational dynamics, culture, and change management principles Demonstrated ability to think strategically, analyze complex issues, and develop practical solutions Ability to flex from highly strategic and conceptual into tactical execution Capable of managing multiple, complex program development simultaneously Strategic, system-level thinker, pragmatic and outcomes focused Innovative, creative; someone who wants to try new things and learn Comfort in working in a rapidly changing environment We are looking for a seasoned practitioner who embodies and will be an exemplary role model for our own Leadership Framework attributes at UKG, inclusive of Leading Self, the Work, For All (the People), and the Business.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893379217428", "isPrivate": false, "latlongs": "27.6648274,-81.5157535"}, {"id": 893379180384, "name": "Fellow AI Architect, Generative AI", "location": "Seattle,WA,United States", "locations": ["Seattle,WA,United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1733625895, "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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