DevOps Engineering Lead

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have significant experience in DevOps engineering with a strong background in designing and deploying SaaS solutions. Proficiency in public cloud platforms such as AWS, Azure, and GCP is required, along with expertise in tools like Kubernetes, Terraform, and Ansible. A solid understanding of CI/CD processes and observability tools like Prometheus and Grafana is essential.

Responsibilities

The DevOps Engineering Lead will collaborate with product teams and the India-based DevOps team to design and develop core infrastructure for Ema's products. They will manage product deployments in various environments, drive automation of infrastructure tasks, and work closely with the software development team to enhance CI/CD pipelines. Additionally, they will architect observability solutions to ensure system health and performance.

Skills

Kubernetes

Helm

Terraform

Istio

Terraform

Ansible

Kubernetes

Prometheus

Grafana

CI/CD

GitHub Actions

Cloud Build

SaaS

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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