Magnit Global is a leading, global professional services and technology company and a certified “Great Place to Work”. We have been a leader in contingent workforce management since 1991 and work with leading Fortune 500 companies and other large organizations across numerous verticals including consumer electronics, research and development, pharmaceuticals, health services, and many more! 

We're glad to continue a relationship with you and happy to assist in the next steps of your career once more! 

This contract opportunity is with Workday. 

About the Role 

The Data Platform and Observability (DPOE) team enables insight into the operation and performance of Workday's increasingly sophisticated computing infrastructure and application environment. Our large-scale distributed data platform digests hundreds of terabytes of structured and unstructured data in the form of billions of messages produced daily by Workday applications and infrastructure services. We develop software and fully coordinate solutions for the entire data pipeline from data collection to visualization and reporting. If you enjoy writing efficient software, crafting innovative capabilities by integrating the latest cloud-native technologies, and tuning and scaling large distributed systems, you will enjoy working with us!

Observability Platform Engineering (PPE) team deploys and operates Observability cloud infrastructure (Kubernetes, CI/CD tooling, networking, security) for the DPOE observability teams. Additional engineers are needed to handle the transition to full availability of all Observability services and the now-growing scalability and performance challenges.

PPE team is a modern full-service DevOps team responsible for the development, creation, and operation of Workday Observability Services (Metrics, Logs, Traces, Stats & other Services). As a DPOE team member and specialist in Cloud Platform Engineering, you will play a key role in developing the agile automation that underpins and enables our next-generation observability platform. As the common cloud platform infrastructure team, we own everything from virtualized compute and storage to critical infrastructure observability to governance to CI/CD!

This is a weekly hybrid schedule with Workday's Pleasanton, CA office. 

What You Will Do

• Collaborate with the security and networking teams to configure and deploy defense-in-depth security controls and highly performant networking infrastructure.
• Develop an architecture, configuration standards, and automation to enable low-risk agile service deployment by all DPOE teams.
• Create infrastructure monitoring and tooling for platform performance tuning and debugging.
• Drive problems impacting critical systems to solution and implement automation to prevent reoccurrence.
• Participate in the on-call rotation to support DPOE critical systems.
• Research, evaluate, and develop new open source and cloud native tools and technologies as needed to meet new requirements.

What You Will Need

• 3+ years of software engineering experience using one or more of the following: Java, Python, Golang.
• 3+ years of AWS public cloud engineering DevOps experience with extensive expertise in networking and security architecture, configuration, and deployment
• 3+ years of Design, Build & Maintain large scale Kubernetes clusters
• 3+ years with container orchestration platforms like - EKS/ECS/GKE etc
• 3+ years hands on experience with Terraform and/or Ansible and/or Pulumi and/or other IaC technologies.
• 3+ years in Cloud native Open Source tools
• 3+ years of Hands-on experience with ArgoCD for continuous deployment and orchestration
• Expertise in TCP/IP protocol debugging, IP routing configuration, and firewall/proxy/load balancer configuration
• Deep knowledge in the configuration of security services such as key management systems, AWS IAM policies, Kerberos, and LDAP/AD integration
• Experience with public cloud provider technology stacks at scale, especially VM provisioning, Kubernetes, data storage, and stream processing services
• Distributed system performance analysis and optimization experience
• Development experience with a wide range of programming languages, for example, Java, Python, Golang, etc.
• Experience learning complex open-source service internals via code inspection.
• Experience with modern software development tools including CI/CD and methodologies like Agile.
• Experience with Linux system internals and tuning.
• Strong written and oral communication skills and the ability to explain esoteric technical details clearly to engineers without a similar background.

This is the pay range that Magnit reasonably expects to pay for this position: $47.32/hour - $63.09/hour

Benefits: Medical, Dental, Vision, 401K