software product development jobs in alpharetta ga united states

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Translate research and architectural prototypes into robust, production-ready systems that serve real customer use cases at scale. Collaborate closely with AI architects, research scientists, product managers, and other engineering leaders to ensure alignment between long-term vision and near-term deliverables. Engineering Execution: Lead the end-to-end delivery lifecycle of complex, AI-powered software systems--from roadmap definition through design, development, deployment, and maintenance. Establish and enforce strong engineering practices, including CI/CD, observability, code quality, technical design reviews, and security best practices. Drive platformization and reuse by building core AI infrastructure and services that are extensible, efficient, and easy to adopt by downstream teams. Build, scale, and mentor a high-performing, diverse engineering team with deep expertise in distributed systems, AI/ML, and platform development. Develop leaders within your team and foster a culture of innovation, inclusion, psychological safety, and accountability. Create clarity and alignment across geographically distributed teams through crisp communication, strong planning, and effective execution. Keep pace with the fast-moving AI landscape, proactively evaluating new technologies, tools, and techniques that could benefit the platform and our customers. Encourage a mindset of continuous learning and technical curiosity within the team, staying connected to external communities and advancing our internal thought leadership. Represent the company's AI engineering excellence in external forums (e.g., tech talks, publications, open-source contributions) as appropriate. 12+ years of experience in software development, with at least 5 years focused on AI/ML or GenAI systems. 8+ years of experience managing high-performing engineering teams, including at least 2 years at the Director level or equivalent. Proven track record of delivering large-scale, production-ready AI or ML infrastructure, platforms, or applications in a cloud-native environment. Deep expertise in distributed systems, modern software architectures, and frameworks for AI/ML (e.g., PyTorch, TensorFlow, LangChain). Strong communication skills with the ability to inspire teams, influence technical strategy, and engage with executive stakeholders. Bachelor's or Master's degree in Computer Science or related technical field (PhD preferred but not required). Experience with large language models, multi-modal architectures, or retrieval-augmented generation (RAG) systems. Familiarity with MLOps practices and tools, including model lifecycle management, monitoring, and governance. Hands-on experience with cloud AI platforms such as AWS SageMaker, Azure ML, or Google Vertex AI. Passion for building inclusive, psychologically safe teams that deliver innovative and ethically responsible AI solutions. A track record of collaborating across organizations to drive alignment, prioritize platform investments, and deliver business value. Batir, faire evoluer et encadrer une equipe d'ingenieurs performante et diversifiee dotee d'une expertise approfondie dans les systemes distribues, l'IA/ML et le developpement de plateformes. Developpez des leaders au sein de votre equipe et encouragez une culture d'innovation, d'inclusion, de securite psychologique et de responsabilite. Creez de la clarte et de l'alignement au sein d'equipes geographiquement dispersees grace a une communication claire, une planification solide et une execution efficace. Influence interfonctionnelle Collaborez avec les equipes de gestion de produits, d'architecture, de science des donnees, de recherche et de conception pour fa\u00e7onner la strategie, etablir les priorites et obtenir des resultats cles. S'engager directement avec les intervenants internes, la direction executive et occasionnellement les clients pour representer les capacites, l'orientation et l'impact de la plateforme. Agir en tant que champion de l'IA responsable, en travaillant avec les equipes internes chargees des politiques, du droit et de la securite pour s'assurer que nos systemes sont fiables et conformes. Suivez le rythme de l'evolution rapide du paysage de l'IA, en evaluant de maniere proactive les nouvelles technologies, outils et techniques qui pourraient beneficier a la plateforme et a nos clients. Encourager un etat d'esprit d'apprentissage continu et de curiosite technique au sein de l'equipe, en restant connecte aux communautes externes et en faisant progresser notre leadership eclaire interne. Representer l'excellence de l'entreprise en matiere d'ingenierie IA dans des forums externes (par exemple, des conferences techniques, des publications, des contributions open source), le cas echeant. Plus de 12 ans d'experience dans le developpement de logiciels, dont au moins 5 ans axes sur les systemes AI/ML ou GenAI. Plus de 8 ans d'experience dans la gestion d'equipes d'ingenierie hautement performantes, dont au moins 2 ans au niveau de directeur ou equivalent. Experience averee dans la fourniture d'infrastructures, de plateformes ou d'applications d'IA ou de ML a grande echelle et pretes pour la production dans un environnement infonuagique natif. Expertise approfondie des systemes distribues, des architectures logicielles modernes et des cadres pour l'IA/ML (par exemple, PyTorch, TensorFlow, LangChain). Solides competences en communication avec la capacite d'inspirer les equipes, d'influencer la strategie technique et d'interagir avec les parties prenantes executives. Baccalaureat ou maitrise en informatique ou dans un domaine technique connexe (doctorat prefere mais non obligatoire). Experience avec de grands modeles linguistiques, des architectures multimodales ou des systemes de generation augmentee de recuperation (RAG). Familiarite avec les pratiques et outils MLOps, y compris la gestion du cycle de vie des modeles, la surveillance et la gouvernance. Experience pratique avec les plateformes d'IA infonuagique comme AWS SageMaker, Azure ML ou Google Vertex AI. Passion pour la creation d'equipes inclusives et psychologiquement sures qui fournissent des solutions d'IA novatrices et ethiquement responsables. Un historique de collaboration entre les organisations pour favoriser l'alignement, hierarchiser les investissements de la plateforme et offrir de la valeur commerciale. Notre destination UKG s'apprete a vivre quelque chose de vraiment special. \u00c0 l'echelle mondiale, nous nous classons deja au premier rang pour la gestion des ressources humaines et au deuxieme rang pour la gestion du capital humain. Des dizaines de millions de personnes travaillant en premiere ligne commencent et terminent leur journee avec notre logiciel, et des milliards de quarts de travail sont geres chaque annee par le biais des solutions UKG aujourd'hui. Pourtant, c'est notre portefeuille de produits alimentes par l'IA et con\u00e7us pour soutenir la clientele de toutes tailles, de tous secteurs et de toutes zones geographiques qui nous propulsera vers des lendemains encore plus radieux! Employeur souscrivant au principe de l'egalite d'acces a l'emploi UKG est fier d'etre un employeur souscrivant au principe de l'egalite d'acces a l'emploi et s'engage a maintenir un milieu de travail diversifie et inclusif. Tous les candidats qualifies seront pris en consideration pour un emploi sans egard a la race, a la couleur, a la religion, au sexe, a l'age, au handicap, a l'etat matrimonial, a la situation familiale, a l'orientation sexuelle, a la grossesse, a l'information genetique, a l'identite de genre, a l'expression de genre, a l'origine nationale, a l'ascendance, au statut de citoyen, au statut d'ancien combattant et a tout autre statut protege par les lois federales, provinciales ou locales contre la discrimination. Accommodement aux handicaps UKG s'engage a fournir un accommodement aux personnes handicapees durant le processus de candidature et d'entrevue. Si vous avez besoin d'un accommodement durant le processus de candidature et d'entrevue, veuillez communiquer avec nous a UKGCareers@ukg.com. Candidats du Quebec: Bien que le fran\u00e7ais soit exige pour les postes au Quebec, l'utilisation de l'anglais est egalement requise en raison de la nature mondiale de l'entreprise et de ses affaires, de meme que de la necessite d'interagir avec les employes ou les partenaires du siege americain d'UKG et de ses bureaux internationaux. Partner with product management, architecture, data science, research, and design teams to shape strategy, define priorities, and deliver on key outcomes. Engage directly with internal stakeholders, executive leadership, and occasionally customers to represent the platform's capabilities, direction, and impact. Act as a champion for responsible AI, working with internal policy, legal, and security teams to ensure our systems are trustworthy and compliant. Definir et posseder la vision technique et la strategie de notre plateforme d'IA, en mettant l'accent sur la mise en place de capacites GenAI evolutives, responsables et performantes sur plusieurs gammes de produits. Traduire les prototypes de recherche et d'architecture en systemes robustes et prets pour la production qui repondent aux cas d'utilisation reels des clients a grande echelle. Collaborer etroitement avec les architectes d'IA, les chercheurs scientifiques, les chefs de produits et d'autres responsables de l'ingenierie pour assurer l'alignement entre la vision a long terme et les livrables a court terme. Execution de l'ingenierie Diriger le cycle de livraison de bout en bout de systemes logiciels complexes bases sur l'IA, de la definition de la feuille de route a la conception, au developpement, au deploiement et a la maintenance. \u00c9tablir et appliquer de solides pratiques d'ingenierie, notamment CI/CD, l'observabilite, la qualite du code, les revues de conception technique et les meilleures pratiques de securite. Favorisez la plateformisation et la reutilisation en creant une infrastructure et des services d'IA de base extensibles, efficaces et faciles a adopter par les equipes en aval.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893381888477", "isPrivate": false, "latlongs": "45.5018869,-73.56739189999999"}, {"id": 893381550560, "name": "Sr. Principal Architect (HCM Product)", "location": "Weston,FL,United States", "locations": ["Weston,FL,United States", "Atlanta,GA,United States", "Alpharetta,GA,United States", "Lowell,MA,United States", "San Francisco,CA,United States", "United States", "Seattle,WA,United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1750871183, "t_create": 1744738442, "ats_job_id": "7fc2cfac-98e8-47d3-a5db-e179ce93d07e", "display_job_id": "SRPRI013093", "type": "ATS", "id_locale": "SRPRI013093-en", "job_description": "1. 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.). Experience with industry leading integration platform (like Boomi).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893381550560", "isPrivate": false, "latlongs": "26.1003654,-80.3997748"}, {"id": 893381336870, "name": "Lead Software Engineer, IaC", "location": "Lowell,MA,United States", "locations": ["Lowell,MA,United States", "Weston,FL,United States", "Alpharetta,GA,United States", "Atlanta,GA,United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1751306571, "t_create": 1743761432, "ats_job_id": "790647ca-6577-4d6a-abe2-935845a77872", "display_job_id": "LEADS012868", "type": "ATS", "id_locale": "LEADS012868-en", "job_description": "Existing or previous Government Security Clearance preferred, or ability to obtain appropriate security clearance is required Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns, including the ability to design and implement scalable, reliable systems in a DevOps model. Proven track record of leading and delivering large-scale, complex software projects. Proficiency with cloud technologies like Azure, AWS, GCP, and version control systems like GitHub. Proficiency in building telemetry or observability as part of the development process. We work in a collaborative, hybrid model. Being 3 days in the office per week from day one is a requirement. Master's degree or PhD in Computer Science or a related technical field. Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality software solutions. Strong leadership, communication, and interpersonal skills, with the ability to influence and drive technical decisions across the organization. Demonstrated expertise in specialized disciplines and related fields. Understanding of internal and external business challenges and regulatory factors. Apply best practices to improve products, processes, or services Familiarity with developing accessible technologies. Dedicated to diversity and inclusion initiatives. Software Development: Write clean, maintainable, and efficient code for various software applications and systems. Technical Strategy: Drive the technical strategy and vision for major projects and initiatives, ensuring alignment with business goals and industry best practices. Communicate complex concepts, anticipate potential objections, and influence others to adopt a point of view. Leadership: Lead cross-functional teams to design, develop, and deliver high-impact software projects on time and within budget. Coordinate activities and tasks of other team members, working independently and needing guidance only in the most complex situations. Architectural Excellence: Architect, design, and develop complex software systems and applications, ensuring high standards of performance, scalability, and reliability. Collaborate with architects on mid-level and high-level design. Complexity: Solve complex issues with innovative solutions, setting precedents as needed. Navigate information, alternatives, and relationships to achieve results. Communicate complex concepts, anticipate objections, and influence adoption of viewpoints. 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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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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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Communicate complex concepts, anticipate objections, and influence adoption of viewpoints. Impact: Impact the achievement of area/group objectives. Develop team policies, procedures, and techniques. Drive prioritization of technical debt, articulating the expected impact and outcomes. Service Health and Quality: Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Conduct thorough root cause analysis and implement measures to prevent future recurrences. Engineering Excellence Practices: Advocate for and implement best quality practices, hold a high bar for engineering excellence, and guide the team in maintaining service quality through the testing pyramid. DevOps Model: Oversee CI/CD pipelines, ensuring efficient build, test, and deployment phases. Take ownership from working with product management on requirements to designing, developing, testing, deploying, and maintaining software in production. 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. Code Review: Conduct comprehensive code reviews, providing constructive feedback and ensuring adherence to best practices. Mentorship: Provide technical mentorship and guidance, fostering a culture of learning and continuous improvement. Mentor junior engineers on taking ownership of the full lifecycle of services and features. Documentation: Develop and maintain comprehensive technical documentation for software applications and systems. Innovation: Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity enhancement within the team (e.g., CoPilot). Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 7+ years of DevOps and software engineering experience Extensive experience with CI/CD pipeline automation frameworks and container-based deployments, including tools such as GitHub Actions and Jenkins. Experience working with Kubernetes, Docker, and public cloud deployment platforms Deep expertise in backend Java, JavaScript/Typescript (Node.js, NPM, React, Angular, etc.) Extensive experience with software architecture and design patterns, including the ability to design and implement scalable, reliable systems in a DevOps model. Proven track record of leading and delivering large-scale, complex software projects. Proficiency with cloud technologies like Azure, AWS, GCP, and version control systems like GitHub. Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality software solutions. Proficiency in building telemetry or observability as part of the development process. Strong leadership, communication, and interpersonal skills, with the ability to influence and drive technical decisions across the organization. Master's degree or PhD in Computer Science or a related technical field. Experience with Github Actions Familiarity with developing accessible technologies. Dedicated to diversity and inclusion initiatives. Demonstrated expertise in specialized disciplines and related fields. Recognized as an expert in their technical area. Understanding of internal and external business challenges and regulatory factors. 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Good communication and teamwork skills, with a willingness to collaborate and learn from others. Conceptual understanding of Front-End/Back-End components as well as microservices Growth mindset: Ability to adapt and learn with changing situations. Internship experience in software development or related fields. Familiarity with software development tools and methodologies, such as version control systems (Git), integrated development environments (IDEs), and agile practices. Basic understanding of web technologies, databases, and cloud services. 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Technical Strategy: Drive the technical strategy and vision for major projects and initiatives, ensuring alignment with business goals and industry best practices. Communicate complex concepts, anticipate potential objections, and influence others to adopt a point of view. Leadership: Lead cross-functional teams to design, develop, and deliver high-impact software projects on time and within budget. Coordinate activities and tasks of other team members, working independently and needing guidance only in the most complex situations. Architectural Excellence: Architect, design, and develop complex software systems and applications, ensuring high standards of performance, scalability, and reliability. Collaborate with architects on mid-level and high-level design. Complexity: Solve complex issues with innovative solutions, setting precedents as needed. Navigate information, alternatives, and relationships to achieve results. 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Impact: Impact the achievement of area/group objectives. 10+ years of professional experience in Software development. 5+ years of experience with object-oriented/object languages like Java, Python, Scala, Spring etc. 5+ years of experience working as a BI engineer developing reports and models on a BI tool like Cognos/Looker/Tableau/MicroStrategy/BO 7+ years of experience with detailed knowledge of BI data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. 5+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, as well as experience in diving deep on data analysis or technical issues 2+ years of experience with deploying apps using docker/containers/K8s 2+ years of experience working with CI tools like Jenkins/Maven/Teamcity to build pipelines for deployment and infrastructure set up 5 years of experience with SQL and NoSQL databases 7+ years' engaging and working with cross-functional enterprise level software development projects using Agile development methodologies and leading team of 8-10 developers 4+ years of work experience with large BI environments 4+ years of work experience in building self-serve BI solutions, canned reports and enterprise level BI solutions 4+ years of experience with data modeling in large Data warehousing, data lake environment 1+ years of data science experience with building regression, classification models Working knowledge of DevOps methodology and Site Reliability Engineering Strong experience working with continuous integration and continuous delivery Excellent verbal and written communication skills coupled with strong interpersonal and problem-solving skills Self-motivated, continuous improvement mindset and willing to \"do what it takes\" to get the job done Experience with, or understanding of Agile/Lean Software Development practices such as Kanban or Scrum Ability to manage and balance multiple deliverables concurrently in an environment with shifting priorities Ability to deliver on ambiguous projects and work with complex datasets Impeccable attention to detail and ability to check your own work Good analytical skills with excellent knowledge of SQL and advance SQL.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893381146900", "isPrivate": false, "latlongs": "33.7489954,-84.3879824"}, {"id": 893382380016, "name": "Manager, Software Engineering - Data Analytics", "location": "Atlanta,GA,United States", "locations": ["Atlanta,GA,United States"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1751198325, "t_create": 1747056582, "ats_job_id": "b45637d8-d0ea-41ee-b419-be0aaac12ef2", "display_job_id": "MGRSO013624", "type": "ATS", "id_locale": "MGRSO013624-en", "job_description": "Experience in Data and analytics domain with hand on experience with tools like looker, cognos and other analytics tools Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. You are hands-on with code and can jump in to help the team. You maintain high technical bar, closely involved in design and architecture decisions, code reviews, helping your engineers to optimize their code, maintaining high standards of code quality. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team's technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. BI-Specific Technical & Execution Expertise: 8+ years of progressive experience in software engineering, with at least 3+ years in a leadership role managing teams focused on Business Intelligence, data warehousing, or data analytics Extensive hands-on experience leading the design, development, and deployment of complex, large-scale enterprise BI solutions, including data modeling, ETL/ELT processes, data warehousing, and advanced data visualization Deep understanding of data governance, data quality, and data security principles and experience implementing them within BI solutions. Experience with modern BI platforms and visualization tools (e.g., Power BI, Tableau, Looker, Qlik, Sisense, or similar) and the underlying data architectures that support them Proficiency with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) and experience building BI applications on cloud platforms (e.g., AWS, Azure, GCP) Solid understanding of integrating internal or external enterprise systems via APIs, events, or other integration implementations to source data for BI purposes. Familiarity with containerization technologies (e.g., Docker, Kubernetes) in the context of deploying BI components or data pipelines Team Leadership & Development: Proven experience attracting, hiring, mentoring, retaining, and leading high-performance teams of BI engineers and data professionals (i.e., FTEs, not contractors) in a fast-paced, dynamic product development environment. Ability to foster a culture of innovation, collaboration, and continuous improvement within the BI engineering team. Operational Excellence & Delivery: Experience driving agile development methodologies and best practices for BI development lifecycles, ensuring timely and high-quality delivery. Strong project management skills with a track record of successfully delivering complex BI projects on time and within budget. Excellent communication and stakeholder management skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including customers and executive leadership. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. 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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. Technical Leadership: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Code Review: Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc. 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. Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. 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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. 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