Senior Software Engineer, Workday
Agentic AI & API Platform
€86.4-129.6k
Enterprise AI platform for managing HR and finance
Be an early applicant
Enterprise AI platform for managing HR and finance
1001+ employees
Be an early applicant
€86.4-129.6k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 8+ years of experience in software development engineering, architecting, building, and scaling robust and efficient backend software systems
- 5+ years of hands-on experience with TypeScript or Python in production environments
- 4+ years of dedicated experience designing, building, and maintaining scalable web APIs (REST and/or GraphQL) with a strong emphasis on contract-first design (e.g., OpenAPI/Swagger)
- 3+ years of experience working with distributed systems architecture, handling high-throughput workloads, concurrency management, or advanced caching strategies
- 2+ years of experience implementing and managing production observability (e.g., structured logging, distributed tracing, metrics) and owning on-call/incident remediation for critical services
- Strong ability in Algorithmic Thinking, including advanced data structures and algorithms such as graphs, concurrent data structures, and caching/eviction strategies, to design and optimize solutions for complex API orchestration, request routing, and high-throughput workloads
- Strong understanding of Code Testing methodologies, such as contract testing, performance testing, and system/integration testing, and experience with advanced testing tools or frameworks (e.g., JUnit, ScalaTest, Postman, Mockito, and coverage tools such as Jacoco or Scoverage)
- Strong understanding of Object-Oriented Design (OOD) principles like SOLID, domain-driven design concepts, and common architectural patterns (e.g., layered architecture, hexagonal architecture) and their application in designing scalable software architectures
- Solid understanding of Software Development principles and advanced development methodologies such as continuous delivery, trunk-based development, and test-driven or behavior-driven development
- Solid experience with Source Control Management (SCM) tools such as Git and advanced branching and merging strategies across multiple teams or services
- Proven ability to lead Team Collaboration within a software development team and mentor junior and mid-level engineers through design reviews, technical guidance, and knowledge sharing
- Strong skills in creating Technical Writing Documentation for comprehensive technical specifications, design documents, RFCs, and API and integration best-practice guides
- Experience leveraging AI‑assisted code generation and review tools (e.g., Cursor, Claude Code, GitHub Copilot) to improve development speed and quality
- Exposure to MCP or similar models is a strong plus
What the job involves
- As a Senior Software Development Engineer in Product Engineering, you will be a technical leader in designing and delivering high-throughput, low-latency APIs and frameworks that power Workday's next generation of products and agents
- You will shape API design, drive performance and observability improvements, and help grow future senior engineers across the team
- This role is crucial because agentic AI changes how APIs must be built. For an AI agent to successfully process an invoice, update an employee record, or orchestrate a complex workflow within Workday, the underlying APIs must be highly deterministic, self-describing, and resilient. You will be at the center of making that possible
- Lead end-to-end design and development of complex backend services and APIs used by Product Engineering teams
- Drive consensus with product managers, architects, and partner teams to define clear, evolvable API contracts and data models using OpenAPI and internal standards
- Champion consistent API standards, patterns, and tooling that align with cross-organization guidance while solving concrete product needs
- Help Product Engineering teams expose capabilities via REST, GraphQL, and emerging integration patterns in a way that is friendly to agents and external consumers
- Drive performance and scalability improvements, including latency optimization, capacity planning, and resiliency strategies for mission-critical product flows
- Design and implement observability for product APIs (metrics, tracing, structured logging) and use data to inform technical decisions and SLOs
- Collaborate on frameworks, tools, and patterns that make it simpler for other Product Engineering teams to define, publish, and maintain APIs
- Work with data platform teams to define patterns for exposing data safely and efficiently to API and agent workflows
- Provide technical leadership through design reviews, RFCs, spike investigations, and coaching junior engineers
- Participate in and improve on-call and incident response processes; own root cause analysis and long-term remediation for significant issues
- Act as a trusted technical partner to teams across Product Engineering, helping them make sound API and integration decisions
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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