Forward Deploy Engineer
RogoSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, AI & Machine LearningIndustries
Requirements
Candidates should have at least 2 years of experience in DevOps, Infrastructure Setup, or Deployment Engineering roles. Hands-on expertise with cloud platforms such as GCP, Azure, or AWS is required, along with familiarity with infrastructure-as-code tools like Terraform or Ansible. Proficiency in CI/CD tools such as GitLab CI or Jenkins is necessary, and experience with monitoring tools like Prometheus, Grafana, Datadog, or Splunk is preferred. Strong troubleshooting skills and excellent communication and collaboration abilities are essential.
Responsibilities
The Deployment Engineer will design and provision cloud-based infrastructure tailored to customer environments and implement best practices for security, scalability, and compliance. They will execute regular on-call SaaS deployments, automate deployment workflows, and monitor logs, alerts, and metrics to maintain uptime. Additionally, they will diagnose and resolve production issues, collaborate with DevOps to enhance monitoring dashboards, and maintain updated deployment documentation while facilitating knowledge transfer across teams.
Skills
GCP
Azure
AWS
Deployment
Infrastructure as Code
Monitoring
Troubleshooting
Automation
SaaS
Security
Scalability
Compliance
Log Analysis
Alerting
Ema
Develops enterprise AI solutions for workforce efficiency
About Ema
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.
Key Metrics
Mountain View, CaliforniaHeadquarters
2023Year Founded
$59.3MTotal Funding
SERIES_ACompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees