Description
We're seeking a Senior Software Development Engineer to join the Paradox team at Workday. You'll lead the design and delivery of critical capabilities where security, accuracy, scalability, and performance are essential.
Responsibilities:
- Design and deliver secure, scalable, performant, and observable product features.
- Streamline shift-left development by championing AI-agent and automation integration to refine requirements, assess risks, analyze designs, and enhance test planning, coverage, and defect identification.
- Lead projects from technical design through implementation, testing, rollout, and follow-through.
- Investigate and resolve production issues via root cause analysis, regression risk assessment, and durable fixes.
- Use production data, metrics, and service health signals to find and prioritize improvement opportunities.
- Identify and reduce technical debt that impacts reliability, scalability, or developer productivity.
- Mentor engineers through design reviews, code reviews, and day-to-day technical guidance.
- Collaborate across teams to manage dependencies and ensure smooth, low-risk launches.
Requirements:
- 7+ years of software engineering experience developing and delivering scalable, high-availability cloud products.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Strong collaboration, communication, and ownership mindset, with the ability to work effectively across teams and drive outcomes.
- Ability to mentor engineers, provide clear technical guidance, and support well-reasoned design and implementation decisions.
- Strong knowledge of data structures, algorithms, and Object-Oriented Design applied to build scalable, maintainable systems.
- Experience with Python/Django is an advantage.
- Advanced programming skills and a track record of delivering clean, well-tested, and secure code.
- Experience with architecture and system design, including secure design patterns, performance optimization, scalability, and safe rollout strategies.
- Strong testing mindset and hands-on experience across unit, integration, end-to-end, automated, and regression testing, combined with a proactive approach to production incident resolution.
- Experience in leveraging and driving AI and automation tool adoption across the full development lifecycle to innovate, improve engineering efficiency.
- Experience defining and driving monitoring and observability strategies using tools such as Datadog to analyze production metrics and service health.
- Experience with cloud systems and data stores, including high I/O databases (such as Redis, Aurora), event streaming or queue systems (such as RabbitMQ), and core AWS services.
- Experience with modern source control practices and workflows, and comfort working in a fast-moving, production-focused environment.
- Good verbal and written English communication skills.
Benefits:
- Flex Work: combining the best of both worlds: in-person time and remote.
- Spend at least half (50%) of your time each quarter in the office or in the field with customers, prospects, and partners.
- Freedom to create a flexible schedule that caters to your business, team, and personal needs.