DevOps Engineer at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

KubernetesHelmTerraformIstioTerraformAnsibleShellPythonSaaS

Questions & Answers

Common questions about this position

What is the work location and arrangement for this DevOps Engineer 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 this position?

This information is not specified in the job description.

What key skills are required for the DevOps Engineer position?

Required skills include experience as a DevOps Engineer, knowledge of Kubernetes, Helm, Terraform, and Istio, proficiency in infrastructure automation with Terraform, Ansible, and Kubernetes, and scripting in Shell and Python.

What is the company culture like at Ema?

Ema has a dynamic early-stage startup environment that demands agility in technology decision-making, adaptability in work methodologies, and the ability to build infrastructure at rapid velocity; the team comprises talent from top tech companies like Google, Microsoft, and Facebook, and elite institutions like Stanford and MIT.

What makes a strong candidate for this DevOps Engineer role?

Strong candidates have experience architecting foundational infrastructure, building multi-tenant SaaS solutions, and expertise in tools like Kubernetes, Terraform, Ansible, and Istio, with the ability to thrive in a fast-paced startup by automating infrastructure and refining CI/CD pipelines.

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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