About WorkSpan
The next era of growth is being driven by business interoperability. Cloud, genAI, solutions combining services and software- more and more, companies outpace their competition not just through building superior products, but by creating stronger partnerships, paths to market, and better business models for winning together. Cloud providers, service providers, tech partners and resellers are teaming up to win more deals together through co-selling.
WorkSpan is building the world’s largest, trusted co-selling network.
WorkSpan already has seven of the world’s ten largest partner ecosystems on our platform and $50B of customer pipeline under active management. AWS, Google, Microsoft, MongoDB, PagerDuty, Databricks and dozens of others trust WorkSpan to accelerate and amplify their ecosystem strategies.
With a $30M series C and backing from world class investors Insight Partners, Mayfield, and M12, WorkSpan is poised to drive the future of B2B. Come be a part of it.
Join our team for the opportunity to:
- Own your results and make a tangible impact on the business
- Develop a deep understanding of GTM working closely with leadership across sales & marketing
- Work with driven, passionate people every day
- Be a part of an ambitious, supportive team on a mission
We are seeking a versatile Multi-Cloud Site Reliability / DevOps Engineer to design, automate, and maintain our geographically distributed infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. In this role, you will champion a true multi-cloud strategy by avoiding vendor lock-in, optimizing cloud costs, and deploying highly available, fault-tolerant systems. You will act as the bridge between software development and IT operations, treating infrastructure as a software engineering problem to eliminate manual toil.
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Multi-Cloud Architecture & Orchestration: Design, provision, and maintain resilient infrastructure across AWS, GCP, and Azure using cloud-agnostic Infrastructure as Code (IaC) tools to ensure environment parity.
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CI/CD Pipeline Management: Build, automate, and streamline cross-platform continuous integration and delivery pipelines that seamlessly route workloads to their optimal cloud environments.
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Site Reliability & Observability: Establish Service Level Indicators (SLIs) and Objectives (SLOs). Set up centralized, multi-cloud logging and monitoring platforms to trace metrics and proactively diagnose bottlenecks before they impact users.
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Incident Response & On-Call: Triage production issues, manage incident bridges, and lead blameless post-mortems to drive continuous systemic improvements.
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Disaster Recovery & High Availability: Engineer multi-region and active-active failover strategies between different public cloud providers to prevent single points of failure.
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FinOps & Resource Optimization: Monitor utilization patterns, implement automated scaling, and drive cost-saving initiatives across all three cloud platforms.
As a multi-cloud engineer, you will be expected to leverage and manage native services across the major providers:
Cloud Platform
Key Responsibilities & Target Services
AWS
Manage compute and orchestration using EKS, EC2, and Lambda. Configure network topology (VPC, Route53) and manage access via AWS IAM. Utilize native or agnostic tools (CloudFormation, Terraform) for provisioning.
GCP
Oversee containerized workloads via GKE (Google Kubernetes Engine). Optimize data pipelines/storage using BigQuery and Cloud Storage. Manage Google Cloud Load Balancing and Anthos for multi-cloud deployments.
Azure
Deploy and scale applications using AKS (Azure Kubernetes Service). Automate infrastructure management via ARM templates or Bicep. Ensure tight integration with Azure Active Directory (Entra ID) for secure identity management.
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Experience: 4+ years in DevOps, SRE, or Cloud Engineering, with hands-on production experience in at least two of the three major cloud providers (AWS, GCP, Azure).
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Infrastructure as Code (IaC): Advanced proficiency in Terraform (strongly preferred for multi-cloud parity), alongside familiarity with CloudFormation, ARM/Bicep, or Deployment Manager.
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Containerization & Kubernetes: Deep understanding of Docker and production-level experience administering Kubernetes clusters (EKS, GKE, AKS).
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Automation/Scripting: Strong programming skills in Python, Go, or Bash for automating systemic operations and interacting with various Cloud APIs.
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CI/CD Tooling: Experience with cloud-agnostic deployment tools like GitHub Actions, GitLab CI, ArgoCD, Jenkins, or CircleCI.
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Observability Stack: Hands-on experience configuring Prometheus, Grafana, Datadog, or the ELK/EFK stack for unified multi-cloud dashboards.
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Experience with Cloud Center of Excellence (CCoE) practices and multi-cloud governance frameworks.
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Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, or Azure DevOps Engineer Expert.
