Deployment Engineer

6 Months ago • 2 Years + • Devops

Job Summary

Job Description

Ema is developing next-generation AI technology to enhance enterprise productivity. As a Deployment Engineer, you will be responsible for ensuring smooth, stable, and secure deployments of Ema's solutions. This involves designing and provisioning cloud infrastructure (GCP, Azure, AWS), automating deployment workflows, monitoring production stability with a focus on high availability (99.9%+), and diagnosing/resolving production issues proactively. You will also collaborate with DevOps to improve monitoring and reporting, and maintain documentation such as runbooks and troubleshooting guides.
Must have:
  • Design and provision cloud infrastructure (GCP, Azure, AWS)
  • Execute on-call SaaS deployments with minimal downtime
  • Automate and optimize deployment workflows
  • Monitor logs, alerts, and metrics for uptime
  • Diagnose and resolve production issues
  • Maintain deployment runbooks and troubleshooting guides
  • Experience with cloud platforms (GCP, Azure, AWS)
  • Familiarity with infrastructure-as-code tools
  • Proficient in CI/CD tools
  • Experience with monitoring tools
  • Strong troubleshooting capabilities
  • Excellent communication and collaboration skills

Job Details

Who are we?

Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore. This will be a hybrid role where we expect employees to work from office three days a week.

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, and environment configurations.

    • Facilitate seamless knowledge transfer across teams for smooth handovers.

Ideally, you'd have:

  • Experience:

    • 2+ years in DevOps, Infrastructure Setup, or Deployment Engineering roles.

  • Technical Proficiency:

    • 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.

  • Monitoring Tools:

    • Experience with Prometheus, Grafana, Datadog, or Splunk.

  • Problem-Solving Skills:

    • Strong troubleshooting capabilities to diagnose and resolve technical issues effectively.

  • Soft Skills:

    • Excellent communication and collaboration skills for seamless interaction with stakeholders.

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.

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