24 hours ago
Dublin, IrelandSenior
Responsibilities
- Develop, build, deploy, and support platform security solutions and infrastructure.
- Build massively scalable digital security systems and key management solutions that protect customer data and infrastructure.
- Operate and maintain critical production systems in a resilient, scalable microservices environment.
- Automate infrastructure and coordinate with distributed engineering teams across time zones.
- Apply software engineering practices including coding, testing, code reviews, source control, and operations.
Requirements
- Bachelor’s degree in computer science or a related field, or equivalent experience.
- At least 5 years of experience developing and handling enterprise-scale systems.
- At least 1 year of experience automating infrastructure in a modern programming language such as Python, Go, Ruby, or Java.
- At least 1 year of experience running SQL and NoSQL databases.
- Understanding of TCP/IP, HTTP, SSL/TLS, Linux or another Unix variant, and container technologies.
- Knowledge or experience with cryptography, PKI, HSMs, or key management systems.
- Experience with public cloud providers such as AWS, GCP, or Azure.
- Strong written and verbal communication and problem-solving skills.
Benefits
- Flexible work arrangement requiring at least 50% of each quarter in the office or in the field for applicable roles.
- The role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus and annual refresh stock grants.
- Workday provides reasonable accommodations and is an equal opportunity employer.
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.