Platform Engineer at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

DockerKubernetesGolangPythonGCPAzureAWSMicroservicesData IngestionKnowledge Base IndexingApplication ConnectivityWorkflow AutomationML OperationsMonitoringObservabilityDevOpsCI/CD

Questions & Answers

Common questions about this position

What is the salary for the Platform Engineer position?

Salary information not provided.

Is this a remote role, or do I need to work in an office?

This is a hybrid role requiring presence in Silicon Valley or Bangalore, India.

What skills are required for this Platform Engineer role?

Candidates need 2-8 years of Platform Engineering experience, proficiency in Docker, Kubernetes, Golang, and Python, plus experience with GCP, Azure, and AWS. A Bachelor’s degree in Computer Science or related field is also required.

What is the team like at Ema?

The team consists of engineers from top tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase, with members from elite schools including Stanford, MIT, UC Berkeley, CMU, and IIT.

What experience makes a strong candidate for this role?

Strong candidates will have 2-8 years in Platform Engineering, hands-on experience with Docker, Kubernetes, Golang, Python, and major cloud platforms like GCP, Azure, and AWS.

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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