
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.
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. |
Engineering
Bangalore, India
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