The DevOps Engineering team keeps our cloud environments reliable, available, and high-performing , enabling smooth releases and infrastructure that scales with a large scale SaaS platform. We focus on helping product teams ship quickly and safely, aligning infrastructure with Workday's standards, and automating as much of the software delivery lifecycle as possible.

Responsibilities:

• Design, build, and maintain CI/CD pipelines to enable smooth, reliable releases for large-scale cloud applications
• Manage and optimize AWS cloud infrastructure, ensuring performance, scalability, security, and cost efficiency
• Implement and maintain Kubernetes clusters and container orchestration using Helm charts and ArgoCD for GitOps-based deployments
• Build and improve automation for infrastructure provisioning, configuration management, and operational workflows using GitHub Actions and scripting
• Integrate application and infrastructure environments with Workday standards and guardrails, ensuring consistency and compliance across environments
• Monitor system health and performance, proactively identifying and resolving issues before they impact availability
• Participate in an on-call rotation, responding to incidents, driving timely remediation, and contributing to follow-up improvements
• Partner closely with development teams to support their infrastructure needs, improve developer experience, and remove friction from the delivery pipeline
• Evaluate and recommend new tools, technologies, and practices that improve reliability, security, and operational efficiency

Requirements:

• Minimum of 7 years of related work experience in DevOps, site reliability engineering, or infrastructure engineering
• Demonstrated history of designing and maintaining Kubernetes environments to support scalable, cloud-native production applications
• Demonstrated history of utilizing AWS infrastructure services to build and operate production workloads
• Proficient in ArgoCD and GitOps practices, with experience implementing continuous delivery workflows that streamline deployments and ensure consistent, auditable changes
• Skilled in Helm chart development and management, including packaging, configuring, and deploying applications to Kubernetes using reusable templates
• Experienced with GitHub Actions for building and maintaining CI/CD pipelines, automating testing, builds, and deployments to accelerate delivery

Job Data by YubHub.

Responsibilities:

• Own AI features supported by dedicated AI infrastructure, taking problems from early ideas through design, implementation, evaluation, rollout, and production monitoring.
• Develop LLM- and agent-based systems, including prompt engineering, context management, and agent workflows.
• Refine the models that power Olivia's multilingual conversations, focusing on better intent and entity recognition.
• Improve AI performance by building tools to measure quality, monitor metrics, run tests, and quickly catch production issues.
• Make model serving faster, cheaper, and more reliable using techniques like caching, batching, and fallback strategies.
• Raise the technical bar by applying AI expertise and engineering experience to deliver high-quality system designs, implementation approaches, and code.
• Guide and support other engineers with thoughtful feedback on code and designs, helping them improve their decision-making.
• Create clear documentation that helps team members understand how systems work, make informed decisions, and work more independently.
• Work with product, data, and platform teams to deliver AI features that provide real value to our customers.

Requirements:

• 5+ years of experience designing and developing LLM AI systems.
• 5+ years of professional programming experience in Python.
• Demonstrated history of building AI products from early prototype through production.

Nice to Have:

• Experience designing LLM-powered applications, agentic workflows, prompt pipelines, and tool/function-calling patterns for reliable product experiences.
• Experience improving AI system quality through evaluation methods, regression testing, guardrails, observability, and production monitoring.
• Ability to design AI services with attention to latency, cost, reliability, scalability, and operational maintainability.
• Technical mentorship and guidance experience.
• Cross-functional collaboration experience.
• Excellent communication skills in English and Vietnamese.

Job Data by YubHub.

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.

Job Data by YubHub.

Responsibilities:

• Design and deliver scalable, high-quality technical solutions aligned with business and product needs.
• Apply advanced technical expertise to solve complex engineering problems and improve system performance, reliability, and maintainability.
• Contribute to technical architecture by evaluating design options, defining technical approaches, and supporting long-term product direction.
• Lead complex technical initiatives from planning through implementation, deployment, and ongoing support.
• Identify opportunities to modernize systems, improve engineering practices, and introduce innovative technical solutions.
• Collaborate with cross-functional stakeholders to clarify requirements, assess feasibility, and ensure successful delivery.
• Provide technical guidance, code reviews, and mentorship to strengthen engineering quality and team capability.
• Proactively identify technical risks, dependencies, and implementation challenges, and drive effective mitigation plans.
• Stay current with emerging technologies and recommend practical improvements that enhance product quality and team efficiency.

Requirements:

• 6+ years of experience in software development engineering.
• Solid proficiency in at least one modern programming language.
• Advanced proficiency in using modern AI tools to improve engineering productivity, code quality, problem-solving, and technical decision-making.
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.
• Strong hands-on experience with Python is a plus point, experience in RESTful API design, scalable service development, and secure, reliable back-end systems.
• Advanced knowledge of object-oriented design, software architecture patterns, databases, data modeling, performance tuning, and system scalability.
• Proven ability to lead technical design discussions, influence solution approaches, and mentor team members.
• Strong collaboration skills, with the ability to work effectively with cross-functional partners, build trust, share knowledge, and support team goals.
• Excellent analytical, problem-solving, and communication skills in both Vietnamese and English, with the ability to design innovative solutions for complex AI-driven features.

Flexible Work:

• With Flex Work, we're combining the best of both worlds: in-person time and remote.
• Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
• We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

Job Data by YubHub.