Ema Unlimited
Agentic AI platform
DeploymentEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Deployment Engineer at Ema Unlimited. Skills: DevOps, Infrastructure Setup, Deployment Engineering, Cloud Platforms (GCP, Azure, AWS), CI/CD, Monitoring Tools. Design and provision cloud-based infrastructure (GCP, Azure, AWS) tailored to customer environments. Implement best practices for security, scalability, and compliance”
What You'll Achieve.
10x gains in workforce efficiency; smooth, stable, and secure deployments; minimal downtime or disruption; ensure efficiency; maintain uptime and meet SLAs (99. 9%+ availability); Deliver actionable insights on system health and performance to stakeholders; smooth handovers
Industry & Context.
troubleshooting capabilities to diagnose and resolve technical issues effectively
on-call SaaS deployments
What They're Looking For.
Must Have
4+ years in DevOps, Infrastructure Setup, or Deployment Engineering roles, Hands-on expertise with cloud platforms like GCP, Azure, or AWS, Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible), Proficient in CI/CD tools such as GitLab CI, Jenkins, etc., Experience with Prometheus, Grafana, Datadog, or Splunk, troubleshooting capabilities to diagnose and resolve technical issues effectively, Excellent communication and collaboration skills for seamless interaction with stakeholders
What You'll Do.
Design and provision cloud-based infrastructure (GCP
AWS) tailored to customer environments
Implement best practices for security
Execute regular on-call SaaS deployments with minimal downtime or disruption
Automate and optimize deployment workflows to ensure efficiency
and metrics to maintain uptime and meet SLAs (99. 9%+ availability)
Diagnose and resolve production issues proactively
Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks
Deliver actionable insights on system health and performance to stakeholders
Maintain updated deployment runbooks
troubleshooting guides
and environment configurations
Facilitate seamless knowledge transfer across teams for smooth handovers
How You'll Work.
Team & Collaboration
work closely with internal DevOps teams and customer stakeholders; Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks; Facilitate seamless knowledge transfer across teams for smooth handovers; Excellent communication and collaboration skills for seamless interaction with stakeholders
Communication Scope
Excellent communication and collaboration skills for seamless interaction with stakeholders
Full Job Description
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 and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. WHO ARE YOU? As a Deployment Engineer at Ema Unlimited, you will play a pivotal role in ensuring smooth, stable, and secure deployments of our solutions across customer environments. You will work closely with internal DevOps teams and customer stakeholders to manage infrastructure, oversee deployments, and maintain production stability. YOU WILL: 1. Infrastructure Setup - Design and provision cloud-based infrastructure (GCP, Azure, AWS) tailored to customer environments. - Implement best practices for security, scalability, and compliance. 2. Deployment Management - Execute regular on-call SaaS deployments with minimal downtime or disruption. - Automate and optimize deployment workflows to ensure efficiency. 3. Production Stability - Monitor logs, alerts, and metrics to maintain uptime and meet SLAs (99.9%+ availability). - Diagnose and resolve production issues proactively. 4. Observability and Reporting - Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks. - Deliver actionable insights on system health and performance to stakeholders. 5. Documentation and Knowledge Transfer - Maintain updated deployment runbooks, troubleshooting guides
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