Deployment engineer at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

GCPAzureAWSDeploymentInfrastructure as CodeMonitoringTroubleshootingAutomationSaaSSecurityScalabilityComplianceLog AnalysisAlerting

Questions & Answers

Common questions about this position

What is the work location or remote policy for this role?

The position is hybrid, requiring 3 days in the office.

What is the salary for this Deployment Engineer position?

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include hands-on expertise with cloud platforms like GCP, Azure, or AWS, familiarity with infrastructure-as-code tools such as Terraform and Ansible, and proficiency in CI/CD tools like GitLab CI or Jenkins. Experience with monitoring tools like Prometheus, Grafana, Datadog, or Splunk is also needed.

What experience and soft skills are needed for this position?

Candidates need 2+ years in DevOps, Infrastructure Setup, or Deployment Engineering roles, strong problem-solving and troubleshooting skills, plus excellent communication and collaboration skills.

What makes a strong candidate for the Deployment Engineer role at Ema?

A strong candidate has 2+ years of relevant experience in DevOps or deployment engineering, hands-on expertise in major cloud platforms and IaC tools, proficiency in CI/CD and monitoring, and strong troubleshooting plus communication skills.

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.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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