Jobs at Workday

You will optimize, scale, and manage PostgreSQL infrastructure for a Ruby on Rails application while mentoring teammates and proposing solutions to challenges.

As a Principal Machine Learning Engineer, you will drive high-impact AI product development, lead exploratory data analysis, and collaborate within cross-functional teams to deliver innovative solutions.

Join a multilingual inbound sales development team as the first point of contact for prospects. Promote Workday solutions, generate new business via strategic inbound calling and prospecting into enterprise accounts, build relationships with senior executives, hit monthly/quarterly opportunity quotas, and collaborate cross-functionally with Sales, Marketing, and Operations.

Partner with EMEA Marketing to deliver advisory analytics: synthesize data, run ad-hoc investigations, advise on marketing strategy, build an analytics portfolio, and drive insights to maximize conversion, pipeline impact, and business performance.

Design, implement, and support a unified Privileged Access Management solution across private data centers and public clouds. Improve CI/CD pipelines, implement observability, automate repetitive tasks, and participate in 24x7 on-call rotation to ensure availability and security of PAM services.

Design, build, and deploy production-scale AI solutions (LLMs, RAG, agents, knowledge graphs) across Workday products. Integrate and optimize models, manage lifecycle, ensure performance, observability, security, and collaborate with product and ML teams to deliver user-focused AI features.

Build and maintain scalable, resilient APIs and backend services for agentic AI use cases. Design contract-first APIs (OpenAPI/Swagger), ensure routing, auth, validation, transformation, and error handling. Improve observability, performance, and reliability; write tests and docs; own services end-to-end; mentor peers and collaborate across teams to enable AI-driven workflows.

Generate new business in the Nordics through strategic outbound prospecting and consultative selling. Build relationships with prospective customers and executive sponsors, position Workday versus legacy solutions, and collaborate with Sales, Marketing, and Operations to develop opportunities.

Lead design and implementation of high-throughput, low-latency backend services and APIs optimized for agentic AI. Define API contracts (OpenAPI), improve performance, observability, and resiliency, mentor engineers, own incident response and RCA, and create tools and patterns for cross-team API governance and data exposure.

Design, build, deploy and operate large-scale distributed streaming, messaging and NoSQL platforms (Kafka, Redis, RabbitMQ). Develop client libraries, automation, observability and production infrastructure across Kubernetes, OpenStack, public and private cloud. Optimize performance, ensure resiliency, participate in on-call rotation, and drive adoption of platform capabilities across product teams.

Design, build, deploy and operate large-scale distributed messaging, streaming and NoSQL platforms (Kafka, Redis, RabbitMQ, Cassandra). Develop client libraries/SDKs, automation, observability, and resilience features across Kubernetes, public and private clouds. Participate in on-call rotation, performance tuning, and adoption of cloud-native tools while supporting compliance and sovereign cloud requirements.

Lead pre-launch implementations as the customer's main contact: manage scope, timelines, risks, and configurations; bridge product, development, and client teams; document progress; transition to customer success; and identify growth or risk opportunities to ensure successful SaaS deployments.

Design, build, and operate large-scale distributed metrics ingestion and alerting systems. Develop platform services, APIs, and tooling to enable observability, reliability, and agentic engineering across cloud-native production environments while collaborating with SRE and partner teams.

Lead engineering and automation for Vulnerability Management: scale coverage, build tooling and self-service for developers, automate workflows, and modernize security operations using AI/agentic AI frameworks to speed detection and remediation across global teams.

Generate new business by prospecting and inbound calling into enterprise accounts, build relationships with prospects and executive sponsors, use consultative selling to position Workday versus legacy solutions, and coordinate with EMEA account executives and internal teams to drive sales activity.

Lead design and build of enterprise-scale cybersecurity data lakehouse ingestion, enrichment, and semantic layers. Scale pipelines from Splunk to cloud-native lakehouse, implement data observability and reliability, enable AI/advanced analytics, and mentor engineers to raise engineering maturity and modernize practices.

Perform outbound prospecting and consultative selling to build relationships with prospective enterprise customers, generate pipeline, and position Workday against legacy solutions. Collaborate with Sales, Accounts, Marketing, and Operations across EMEA, using strategic calling and market education to create new business opportunities.

The role involves building relationships with prospects, generating new business opportunities, and utilizing consultative selling skills. Training is provided for those re-entering the workforce or changing industries.

The role involves proactive relationship building with new customers, utilizing consultative selling techniques, and generating business opportunities via outbound calling and prospecting.

Operate and automate a cloud-native cybersecurity data platform for the EU Sovereign region. Manage day-to-day administration, capacity planning, SLIs/SLOs, observability, incident response, and IaC to maximize uptime, reduce toil, and ensure compliance with European data residency requirements.