• Concevoir et implémenter des fonctionnalités complexes et critiques • Challenger les besoins exprimés pour proposer des solutions pertinentes • Garantir la qualité, la performance et la maintenabilité du code • Piloter le maintien en condition opérationnelle des applications • Fournir des estimations fiables sur des périmètres complexes • Contribuer activement à la planification et au découpage des projets • Participer à la définition des jalons et objectifs techniques • Documenter les développements avancés • Rédiger et exécuter tests unitaires, d’intégration et end‑to‑end • Participer et animer des revues de code pour garantir la qualité collective • Assurer une veille technologique avancée et la partager avec l’équipe • Proposer des évolutions architecturales et techniques chiffrées et argumentées

Role Description We are looking for a Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced software engineer who enjoys designing, building, and delivering production-quality applications using modern development frameworks, cloud technologies, and AI-assisted engineering practices. This is a high-impact opportunity to help shape how millions of users across more than 150 countries interact with Dayforce. You will work across the full software development lifecycle—including architecture, design, prototyping, implementation, testing, release, and production operations—while partnering closely with Product Managers, Architects, and Engineering teams to deliver scalable, reliable, and innovative solutions. What You'll Get to Do - Design and Build Scalable Software - Design, develop, and maintain high-quality, scalable software solutions and services. - Build and evolve microservices and APIs that support AI-powered product capabilities and core platform functionality. - Contribute to the design and implementation of modern distributed systems with a focus on scalability, performance, reliability, and maintainability. - Participate in architecture discussions and help shape the technical direction of new and existing services. - Build robust testing, validation, monitoring, and observability into production systems. - Improve system performance through profiling, optimization, and continuous refinement. - Automate releases, deployments, integrations, and operational workflows. - Own critical areas of the codebase while contributing to shared engineering libraries and reusable components. - AI-Accelerated Engineering - Leverage modern AI development tools to improve engineering productivity while maintaining high standards for quality, security, and maintainability. - Use AI-assisted code generation with thoughtful engineering review. - Utilize automated test generation and regression testing. - Accelerate refactoring and modernization initiatives. - Apply AI-assisted debugging, log analysis, and root cause investigation techniques. - Support documentation, code migration, and engineering workflow automation. - Promote responsible AI usage with strong security, privacy, and review practices. - Product Partnership and Engineering Excellence - Collaborate with Product Managers, Architects, Designers, and Engineers to deliver customer-focused solutions. - Translate business requirements into well-designed technical solutions. - Present designs and technical concepts to both technical and non-technical audiences. - Mentor team members through code reviews, design discussions, and pair programming. - Contribute to engineering best practices, technical standards, and continuous improvement initiatives. - Participate in the complete software development lifecycle from concept through production support. Qualifications - Strong software development experience using Python to build production-quality applications. - Experience designing and developing cloud-native, distributed, or SaaS applications. - Strong understanding of software engineering fundamentals, including data structures, algorithms, object-oriented design, design patterns, and API design. - Experience developing and consuming RESTful APIs and microservices. - Experience with Azure or another major cloud platform. - Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes. - Experience with CI/CD pipelines and modern source control tools, including Git, GitHub, or Azure DevOps. - Strong understanding of testing methodologies and automated testing practices. - Ability to analyze, troubleshoot, profile, and optimize applications in production environments. - Excellent analytical, problem-solving, collaboration, and communication skills. - Passion for learning new technologies and continuously improving engineering practices. - Demonstrated experience using AI-assisted development tools to improve software delivery. - Ability to rapidly prototype, iterate, and validate solutions while maintaining high-quality engineering standards. - Experience using AI tools for debugging, refactoring, documentation, and code generation. - Strong understanding of responsible AI usage within software development workflows. What Would Make You Stand Out - Experience with search technologies such as Elasticsearch, Azure AI Search, or similar platforms. - Experience with event-driven architectures and messaging platforms such as Kafka. - Experience building highly scalable distributed systems. - Familiarity with observability, monitoring, logging, and reliability engineering practices. - Experience with Azure services such as Azure SQL, Functions, Storage, Key Vault, Azure Monitor, and Log Analytics. - Experience with infrastructure automation tools such as Terraform, ARM templates, or PowerShell. - Experience with front-end technologies and modern web application frameworks. - Familiarity with modern AI frameworks, large language model integrations, retrieval techniques, or intelligent application development. - Experience mentoring developers and providing technical leadership. Benefits - Medical, dental, vision, and life insurance. - 401k plan (plus match). - Global Employee Stock Purchase Plan. - Unlimited Time Away From Work (in lieu of accrued vacation time). - 10 paid US holidays. - Up to 80 hours of paid sick time. - 17 weeks of paid parental leave, subject to the terms of the applicable policy or program. - Opportunities for community impact, including volunteer days and our charity, Dayforce Cares.

Role Description Join our dynamic engineering team as a Senior Software Engineer and play a key role in modernizing a scalable, customer-facing SaaS platform. This fully remote position offers you the opportunity to work on transformative AI and data-driven projects, influence architecture and technology choices, and collaborate with top-tier talent in a supportive and innovative environment. - Design, build, and maintain robust SaaS applications serving large volumes of data - Define architecture and technical direction for next-generation platform initiatives - Address challenging data modeling, scalability, and performance issues in complex systems - Develop software using .NET, JavaScript (backend), and SQL, ensuring code quality and maintainability - Collaborate with cross-functional teams to translate business needs into technical solutions - Integrate practical AI capabilities, including chatbots, robotics, and Retrieval-Augmented Generation (RAG) - Participate in code reviews, architecture discussions, and best practice implementation - Support the entire software development lifecycle, from design through deployment and ongoing support Qualifications - 7+ years of commercial software engineering, including architecture and large codebase experience - Deep expertise in SQL and data warehousing; proven ability solving complex data challenges - Strong backend JavaScript development (3+ years) - Proficiency in .NET development and building scalable SaaS platforms - Experience delivering customer-facing SaaS, data, or AI solutions - Solid understanding of cloud-based, scalable application architectures Requirements - Experience with modern data warehouses (Snowflake, Databricks) - AI development exposure: RAG, Langraph, Langchain, chatbot and robotics integration - Full-stack .NET and Azure development experience - Legacy application modernization and major platform rebuilds - ServiceNow application development Benefits - 100% Remote work - work from anywhere in the US - Collaborate with experienced, supportive engineering and product leaders - Influence architecture and technology direction on high-impact projects - Career growth opportunities in AI, data engineering, and SaaS innovation - Competitive compensation and comprehensive benefits package

Role Description In an era where identity is the new perimeter, the traditional boundaries of cybersecurity are being redefined. At Cisco Security, our Identity AI team is at the forefront of this transformation, building "identity-first" solutions that go beyond simple authentication. We are looking for a visionary Software Leader to help us bridge the critical gap between verifying who a user is and validating the intent behind their actions. By joining our team, you will play a pivotal role in shaping the future of Cisco Identity Intelligence and Duo, architecting intelligent, adaptive systems that protect the digital fabric of the world’s most critical infrastructures. If you are passionate about building scalable, AI-driven security platforms and want to solve the industry’s most complex access challenges, this is your opportunity to lead innovation at the intersection of security and intelligence. Your Impact In this role, you will have the opportunity to serve as the architectural backbone of our data-driven security mission. Key responsibilities include: - Architectural Leadership & Strategy: - Own the end-to-end architecture and cross-product integration strategy for our Kafka-based data infrastructure. - Serve as the primary technical authority for data ecosystems spanning Cisco Identity Intelligence, Duo, and our emerging agentic product lines. - Ensure seamless interoperability across technical and organizational landscapes. - Data Ecosystem Innovation: - Drive the design and implementation of high-scale, event-driven data flows. - Define the standards for schema management, data quality, and observability. - Ensure that our analytics and agentic products have the reliable, high-fidelity data needed to make real-time, identity-first security decisions. - Operational Excellence & Reliability: - Influence production readiness and operational maturity. - Use your deep expertise in large-scale Kafka deployments to build resilient, self-healing systems. - Ensure that our infrastructure is scalable and highly observable, maintaining rigorous uptime and performance standards. - Multi-functional Influence: - Act as a central technical bridge between disparate engineering teams. - Influence decision makers across the organization to align on data standards and integration patterns. - Foster a culture of collaboration that accelerates our ability to deliver next-generation security capabilities. Qualifications - Bachelor’s degree and 12+ years of industry experience, or Masters and 8+ years of industry experience, or PhD and 6+ years of industry experience. - 4+ years of experience with Kafka, data infrastructure, and/or streaming architecture to include building and operating production systems. - Experience in AI-driven development including writing code, building systems, and developing strategies for using AI to assist in work. - Experience building cloud services including AWS, GCP, or Azure. Requirements - Experience in Identity and Security domains. - SRE/operations experience to run this infrastructure reliably in production. - Ability to navigate ambiguity and identify technical solutions and paths forward. - Ability to influence without authority. - Ability to continuously iterate and make decisions with a bias of action. Benefits - Medical, dental, and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees. - 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness. - 16 days of paid vacation time per full calendar year for non-exempt employees. - Flexible vacation time off program for exempt employees. - 80 hours of sick time off provided on hire date and each January 1st thereafter. - Optional 10 paid days per full calendar year to volunteer.