{"id":3033675,"url":"https://alion.io/job/dayforce-software-developer-sr-ai-platform-applications","title":"Software Developer Sr (AI Platform & Applications)","company":{"id":175960,"name":"Dayforce","domain":"dayforce.com","url":"https://alion.io/company/dayforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":125000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":225},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-21T05:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T23:11:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the opportunity\nWe 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 shipping production-quality applications using modern development frameworks, cloud technologies, and AI-assisted engineering practices.\nThis is a high-impact opportunity to help shape how millions of users across 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.\nWhat you’ll get to do\nDesign and Build Scalable Software\nDesign, develop, and maintain high-quality, scalable software solutions and services.\nBuild and evolve microservices and APIs that support AI-powered product capabilities and core platform functionality.\nContribute to the design and implementation of modern distributed systems with a focus on scalability, performance, reliability, and maintainability.\nParticipate in architecture discussions and help shape the technical direction of new and existing services.\nBuild robust testing, validation, monitoring, and observability into production systems.\nImprove system performance through profiling, optimization, and continuous refinement.\nAutomate releases, deployments, integrations, and operational workflows.\nOwn critical areas of the codebase while contributing to shared engineering libraries and reusable components.\nAI-Accelerated Engineering\nAI-assisted development is an important part of this role. You will leverage modern AI development tools to improve engineering productivity while maintaining high standards for quality, security, and maintainability.\nExamples include:\nAI-assisted code generation with thoughtful engineering review.\nAutomated test generation and regression testing.\nAccelerated refactoring and modernization.\nAI-assisted debugging, log analysis, and root cause investigation.\nDocumentation, code migration, and engineering workflow automation.\nResponsible AI usage with strong security, privacy, and review practices.\nProduct Partnership and Engineering Excellence\nCollaborate with product managers, architects, designers, and engineers to deliver customer-focused solutions.\nTranslate business requirements into well-designed technical solutions.\nPresent designs and technical concepts to both technical and non-technical audiences.\nMentor team members through code reviews, design discussions, and pair programming.\nContribute to engineering best practices, technical standards, and continuous improvement initiatives.\nParticipate in the complete software development lifecycle from concept through production support.\nHow We’ll Evaluate Success\nSuccess in this role will be measured by your ability to:\nDeliver scalable, reliable, and high-quality software that creates meaningful customer value.\nBuild well-tested, observable, and maintainable production systems.\nAccelerate delivery through effective use of AI-assisted engineering practices.\nContribute to the long-term health, performance, and evolution of our platform.\nSkills and experience we value\nRequired Qualifications\nStrong software development experience with Python building production-quality applications.\nExperience designing and developing cloud-native, distributed, or SaaS applications.\nStrong understanding of software engineering fundamentals including data structures, algorithms, object-oriented design, design patterns, and API design.\nExperience developing and consuming RESTful APIs and microservices.\nExperience with Azure or another major cloud platform.\nExperience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.\nExperience with CI/CD pipelines and modern source control tools including Git, GitHub, or Azure DevOps.\nStrong understanding of testing methodologies and automated testing practices.\nAbility to analyze, troubleshoot, profile, and optimize applications in production environments.\nExcellent analytical, problem-solving, collaboration, and communication skills.\nPassion for learning new technologies and continuously improving engineering practices.\nAI Development Experience\nDemonstrated experience using AI-assisted development tools to improve software delivery.\nAbility to rapidly prototype, iterate, and validate solutions while maintaining high-quality engineering standards.\nExperience using AI tools for debugging, refactoring, documentation, and code generation.\nStrong understanding of responsible AI usage within software development workflows.\nWhat would make you stand out\nExperience with search technologies such as Elastic, Azure AI Search, etc.\nExperience with event-driven architectures and messaging platforms such as Kafka.\nExperience building highly scalable distributed systems.\nFamiliarity with observability, monitoring, logging, and reliability engineering practices.\nExperience with Azure services such as Azure SQL, Functions, Storage, Key Vault, Azure Monitor, and Log Analytics.\nExperience with infrastructure automation tools such as Terraform, ARM templates, or PowerShell.\nExperience with front-end technologies and modern web application frameworks.\nFamiliarity with modern AI frameworks, large language model integrations, retrieval techniques, or intelligent application development.\nExperience mentoring developers and providing technical 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