Devops Engineer, Ema

Salary not provided

AWS

Kubernetes

GCP

Terraform

Azure

Prometheus

Grafana

Datadog

Mid and Senior level

San Francisco Bay Area

Remote from US

Universal AI employee

Be an early applicant

Universal AI employee

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaSAutomationNo-Code

Be an early applicant

Salary not provided

AWS

Kubernetes

GCP

Terraform

Azure

Prometheus

Grafana

Datadog

Mid and Senior level

San Francisco Bay Area

Remote from US

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaSAutomationNo-Code

Company mission

To build the next-generation AI technology to empower every employee in the enterprise to be their most creative and productive.

Job

Company

Role

Who you are

4+ years DevOps, SRE, or platform engineering experience
Expert-level Kubernetes and containerization knowledge
Terraform and infrastructure-as-code proficiency
Cloud platform mastery (AWS/GCP/Azure)
Strong systems thinking and distributed systems knowledge
B.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalent

Desirable

Multi-cloud experience
Helm charts and deployment automation
Monitoring tools (Prometheus, Grafana, Datadog)
CI/CD platforms (GitHub Actions, ArgoCD)
ML infrastructure experience

What the job involves

Build and manage the infrastructure that powers Ema's AI platform. You'll design cloud systems, automate deployments, and ensure everything scales reliably to support millions of enterprises
Build and maintain Kubernetes clusters and cloud infrastructure
Automate infrastructure provisioning with Terraform and Ansible
Implement CI/CD pipelines for fast, safe deployments
Build observability systems (logging, monitoring, alerting)
Ensure security, performance, and reliability at scale
Support multi-tenant SaaS architecture and scaling

Our take

Ema is looking to empower enterprises with universal AI employees. Essentially, these are AI agents built to support the work of other employees by taking on the most repetitive tasks - leaving real people to be more creative and productive.

As the use of automation explodes, businesses need ways to be more efficient and innovative in order to remain competitive. Ema supports this on both ends by taking away the work that can bog down employees and speeding up this work in the process.

Having raised substantial funds, the company is looking to further develop its proprietary tech that powers the AI employees. Ultimately, the agents will be configurable by enterprises so clients can fine-tune them to their needs, and employ them in any role in their organisation.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2026

$14m

SERIES A

Jul 2024

$36m

SERIES A

Total funding: $75m

Company HQ

SoMa, San Francisco, CA

Leadership

Surojit Chatterjee

(Co-Founder & CEO)

Member of the Board of Directors at Meesho. Former Executive in Residence at Andreessen Horowitz, CPO at Coinbase, Board Member at Olive and VP at Google.

Souvik Sen

(Co-Founder & CTO)

Was VP of Engineering at Okta and Engineering Lead (Data and ML, Privacy and Safety) at Google. They also worked as a Principal Research Scientist at Hewlett-Packard Laboratories.

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