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Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
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This listing does not state a salary
$128k – $160k
That is the middle half of what comparable roles paid on this board over the last 90 days — 17 listings that did publish a figure, median $143k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Developer Mid level Full Time
About Ema
Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.
We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.
The Role
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.
What You Own
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
Qualifications
Required
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
Preferred
Multi-cloud experience
Helm charts and deployment automation
Monitoring tools (Prometheus, Grafana, Datadog)
CI/CD platforms (GitHub Actions, ArgoCD)
ML infrastructure experience
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
Originally posted on Himalayas
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Where this listing came from
- 30 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.