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Deployment Engineer at Ema | Bengaluru, India

EmaIndia - Bengaluru
Hybrid Full-time

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Experience Level

Experience

Qualifications

Preferred QualificationsExperience in cloud infrastructure setup on platforms like GCP, Azure, or AWS. Familiarity with deployment automation tools and CI/CD practices. Strong problem-solving skills and a proactive approach to issue resolution. Excellent communication and collaborative skills. Ability to work in a fast-paced environment and adapt to changing priorities.

About the job

About Us

Ema is at the forefront of pioneering AI technology designed to empower every employee in the enterprise to unleash their creativity and maximize productivity. Our unique technology enables businesses to delegate repetitive tasks to Ema, the Universal AI employee. Founded by former executives from Google, Coinbase, and Okta, along with experienced entrepreneurs, we are backed by some of the most prestigious investors and angel investors globally. With a presence in Silicon Valley and Bangalore, we offer a hybrid working environment where employees are expected to work from the office three days a week.

Your Role

As a Deployment Engineer at Ema, you will be essential in ensuring seamless, stable, and secure deployments of our innovative solutions in customer environments. You will collaborate closely with internal DevOps teams and customer stakeholders to manage infrastructure, oversee deployments, and uphold production stability.

Your Responsibilities

  1. Infrastructure Setup
    • Design and provision cloud-based infrastructure on platforms such as GCP, Azure, and AWS tailored to specific customer requirements.
    • Implement best practices to ensure security, scalability, and compliance.
  2. Deployment Management
    • Conduct regular on-call SaaS deployments with minimal downtime or disruption.
    • Automate and optimize deployment workflows to enhance efficiency.
  3. Production Stability
    • Monitor logs, alerts, and metrics to maintain uptime and meet SLAs (99.9%+ availability).
    • Proactively diagnose and resolve production issues.
  4. Observability and Reporting
    • Collaborate with DevOps to improve monitoring dashboards and alert frameworks.
    • Provide actionable insights on system health and performance to stakeholders.
  5. Documentation and Knowledge Transfer
    • Maintain up-to-date deployment runbooks, troubleshooting guides, and environment configurations.
    • Facilitate smooth knowledge transfer across teams for effective handovers.

About Ema

Ema is revolutionizing the way enterprises leverage AI technology, focusing on enhancing productivity and creativity among employees. With a solid foundation led by industry veterans and supported by top-tier investors, Ema is positioned as a leader in the AI landscape.

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