DevOps Engineering Lead at Ema

San Francisco, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

KubernetesHelmTerraformIstioTerraformAnsibleKubernetesPrometheusGrafanaCI/CDGitHub ActionsCloud BuildSaaS

Questions & Answers

Common questions about this position

What is the work location and arrangement for this role?

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 is the salary for the DevOps Engineering Lead position?

This information is not specified in the job description.

What key skills and experiences are required for this role?

Required experience includes DevOps engineering, designing scalable infrastructure, multi-tenant SaaS solutions, and proficiency with Kubernetes, Helm, Terraform, and Istio. Additional needs cover CI/CD pipelines, observability tools like Prometheus and Grafana, and understanding of distributed systems, ML infrastructure, security, and authentication.

What is the company culture and team like at Ema?

Ema's team is a powerhouse of talent from top tech companies like Google, Microsoft, Facebook, and Coinbase, with members from elite institutions such as Stanford, MIT, and IIT. The company is well-funded by prominent investors and features collaboration between Silicon Valley and India-based teams.

What makes a strong candidate for this DevOps Engineering Lead role?

Strong candidates will have hands-on experience as a DevOps Engineer scaling infrastructure for multi-tenant SaaS, expertise in Kubernetes, Terraform, Helm, Istio, CI/CD, and observability, plus knowledge of distributed systems and deployments across AWS, Azure, GCP, and air-gapped environments.

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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