4 days ago
Vancouver, CanadaSenior
Responsibilities
- Build AI features, intelligent agents, and agentic workflows for Contract Lifecycle Management and contract intelligence products.
- Architect and develop highly available, scalable, secure backend services and distributed systems for enterprise AI applications.
- Integrate AI agents into Workday’s broader agents ecosystem to provide interoperable and consistent platform capabilities.
- Evaluate agent performance and user interactions, benchmark model outputs, and establish automated evaluation metrics.
- Deploy and operate cloud-native services using containers, infrastructure-as-code, and GitOps tooling.
- Develop data persistence, caching, asynchronous processing, monitoring, tracing, and observability capabilities.
- Write well-tested, maintainable production code with attention to scalability, performance, security scanning, and dependency hygiene.
- Lead technical engineering workstreams, own development lifecycles, mentor junior-to-mid-level engineers, and collaborate with product, design, and ML infrastructure teams.
Requirements
- 5+ years of professional software engineering experience focused on backend architecture, distributed systems, and production systems at scale.
- 2+ years integrating LLMs or foundation models into enterprise products.
- 1–2+ years building AI orchestration frameworks such as LangChain or LlamaIndex for reliable agentic workflows.
- 4+ years deploying scalable systems on cloud computing platforms such as AWS, GCP, or Azure.
- 1+ years deploying and operating services in containerized cloud-native environments using Docker and Kubernetes, with exposure to Terraform, Helm, or ArgoCD.
- Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field.
- Experience with AI product evaluation, prototyping, model-output benchmarking, retrieval-quality assessment, and agentic-behavior metrics.
- Experience with observability and monitoring tools such as Prometheus/Grafana, OpenTelemetry, Sentry, or Datadog.
- Familiarity with relational databases, schema migrations, caching, message queues, and task workflows, including PostgreSQL, Redis, Celery, Kafka, or SQS.
- Experience building web UIs and backend REST APIs using React, TypeScript, Python, FastAPI, or Django.
- Experience with production testing, security scanning, dependency hygiene, technical leadership, workstream ownership, and mentoring.
Benefits
- Flexible work arrangement with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners.
- Potential eligibility for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable accommodations for qualified applicants.
Tech Stack
Apache KafkaAWSAzureDatadogDjangoDockerFastAPIGoogle Cloud PlatformGrafanaHelmKubernetesPostgreSQLPrometheusPythonReactRedisSonarQubeTerraformTypeScript
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.