DevOps Engineer - Bay Area at Ema

San Francisco, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise Software, CybersecurityIndustries

Skills

Key technologies and capabilities for this role

KubernetesHelmTerraformIstioTerraformAnsibleKubernetesGitHub ActionsCloud BuildPrometheusGrafanaSelenium

Questions & Answers

Common questions about this position

What is the salary for the DevOps Engineer position?

This information is not specified in the job description.

Is this a remote role, or do I need to come into the office?

This is a hybrid role based in Silicon Valley and Bangalore, India, where employees are expected to work from the office three days a week.

What key skills are required for this DevOps Engineer role?

Required skills include experience as a DevOps Engineer, expertise in designing and building platform and infrastructure, proficiency with Kubernetes, Helm, Terraform, and Istio, and experience with multi-tenant SaaS solutions.

What is the company culture like at Ema?

Ema has a powerhouse team of talent from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase, with members from top-tier institutions such as Stanford, MIT, UC Berkeley, CMU, and IIT; the company is well-funded by top investors and emphasizes high-caliber engineering.

What makes a strong candidate for this DevOps Engineer position?

A strong candidate will have prior experience as a DevOps Engineer, expertise in infrastructure design for multi-tenant SaaS on cloud platforms like AWS, Azure, and GCP, and hands-on proficiency with tools like Kubernetes, Terraform, Ansible, CI/CD pipelines, and observability solutions.

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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