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Workday · 2 days ago

Software Development Engineer - ML Ops

USA, VA, McLean

Full-time

Hybrid

Mid, Senior Level

$135K/yr - $203K/yr

3+ years exp

Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents. They are seeking a Software Development Engineer to design, implement, and deliver highly scalable features for their Machine Learning Runtime platform, collaborating with Data Scientists and ML Engineers to enhance developer efficiency.

Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareHuman ResourcesSaaSSoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation

Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications

Implementation and operation of distributed systems and software development including the conception, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components

Developing products and services that empower developers to streamline their interactions with the ML platform

Working with public clouds (such as IAAS, AWS, GCP) and applying capacity management principles

Deploying and orchestrating containers in production environments, including technologies like Containers, Kubernetes, Service Mesh, ArgoCD and related tools

Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions

Own and develop features from end to end including infrastructure as code

Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind

Strong dedication to proactively addressing and resolving issues, automating processes, and empowering engineers to self-service their operational needs for improved productivity

Availability for on-call support on a rotational basis

Qualification

PythonKubernetesDockerDevOpsInfrastructure automationCI/CD pipelinesMachine learningTerraformGitJenkinsGrafanaSoft skills

Required

US Citizenship is required

5 or more years of DevOps experience including Infrastructure automation, building CICD pipelines

Good in System design and writing comprehensive technical design docs

Proficient in Python programming

Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment

Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products

Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes

Availability for on-call support on a rotational basis

Preferred

This role may require a security clearance at the TS/SCI w/CI Poly level. Applicants must have the ability to obtain and maintain a U.S. government issued security clearance. An active TS/SCI w/CI Poly is preferred

Machine learning background

Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices

Building comprehensive monitoring services

Prior experience with enterprise SaaS products

Experience with monitoring tools like Grafana

Passion for creating and maintaining documentation and fixing run books

Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD

BS/MS in Computer Science or a related technical field

Excellent problem-solving skills with a focus on creating and maintaining accurate documentation

Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive team