Sr. Software Development Engineer - Distributed Systems ( Java/ Kotlin)

Workday•Atlanta, GA

3d•$160,100 - $285,100•Hybrid

About The Position

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team At Workday, we love to have fun! From quirky sprint names, to adventurous team outings, our team knows the importance of having fun as a team together. Inclusivity and diversity is important for the team, everyone on the team takes training on Workday’s VIBE (Value, Inclusion, Belonging, Equity) program. What is the Developer Platform App life cycle at Workday? Developer Platform App life cycle is the core of Workday’s Developer Platform, providing the infrastructure to manage the full lifecycle of applications. This platform governs the promotion, deployment, installation, version management, and compiler orchestration of Extend apps. Built on AWS, our services are designed with core components focused on scalability, resilience, and robustness. About the Role As a Senior Software Engineer, you will play a key role in designing and scaling Workday’s Developer core services platform. We are looking for a product-minded engineer with a strong sense of end to end ownership —someone who can wear multiple hats, thrive in ambiguous environments, and act as an owner to drive core platform initiatives from conception to completion. You will lead the architecture of critical distributed subsystems, drive technical execution within the team, and collaborate closely with cross-functional partners to deliver robust solutions. This role requires deep hands-on expertise in distributed systems and microservices, along with a proven track record of translating complex product requirements into scalable code. You are not just building software to a specification; you possess a deep curiosity about how your components integrate into the broader business ecosystem, a relentless focus on customer adoption, and mastery of AI-driven engineering tools to drastically reduce delivery cycles. You will tackle sophisticated technical challenges, champion engineering best practices, and help mentor team members to ensure high-velocity, reliable delivery.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
8+ years of software engineering with a strong focus on backend microservice architectures and distributed systems.
5+ years of experience in each of the following:
Programming: Java, Kotlin, or Go.
Cloud Platforms: AWS (preferred), GCP, or Azure, including expertise with S3, Lambda, EC2, CloudFront, SQS, SNS, DynamoDB, and MySQL.
Containerization/Orchestration: Docker and Kubernetes.
2+ years of full-stack experience building modern frontend UIs (e.g., React, Angular, or Vue).
1+ year of experience with:
Modern architectural standards (e.g., Model Context Protocol/MCP).
Expert-level AI-augmented development (e.g., Cursor, Claude Code, GitHub Copilot), with a demonstrated ability to direct, prompt, audit, and validate agentic-generated code.
Deep backend proficiency in Java or Kotlin, with strong command of design patterns, distributed systems, and high-availability architecture.
Expert API development and contract management skills, including familiarity with modern protocols (e.g., MCP) to support a spec-driven development approach.
Strong full-stack competency with modern frontend frameworks (React/TypeScript), algorithmic thinking, and a track record of translating complex requirements into scalable code.
Service ownership mindset: end-to-end accountability for operational health, test automation, CI/CD pipelines, and cloud-native observability.
Hands-on experience integrating AI capabilities into software products and using AI-augmented workflows to accelerate delivery.
Proven ability to lead cloud infrastructure cost optimization initiatives across large-scale AWS/GCP deployments, balancing performance with financial scalability.
Strong collaborator and communicator — able to partner with PMs, designers, and engineers to break down features into sprint tasks and clearly articulate technical tradeoffs to both technical and non-technical stakeholders.

Nice To Haves

Experience with Developer Platforms, DevTools, or core engineering platforms is a plus.

Responsibilities

Design, build, and evolve secure, scalable microservices and intuitive frontend experiences that power mission-critical product features with strong performance and reliability.
Own major platform initiatives end-to-end translating ambiguous technical and product concepts into clean, functional software with clear accountability.
Champion best practices in domain-driven design, API contract management, testing, observability, and architectural modernization to reduce technical debt and elevate code quality.
Leverage AI-assisted engineering tools and autonomous coding agents (e.g., Cursor, Claude Code) as an expert power-user to accelerate delivery and raise baseline quality.
Lead and unblock a small, high-velocity team (1–3 developers), providing technical guidance, mentorship, and constructive code reviews to foster a culture of continuous learning.