Platform and Infrastructure Team leader

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, AI & Machine LearningIndustries

Requirements

Candidates should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. They must possess at least 10 years of relevant work experience in system design and architecting enterprise platforms. Proven experience in building scalable platforms and enterprise-level applications is essential, along with expertise in cloud platforms like Azure, GCP, or AWS and a strong understanding of cloud architecture. Solid experience with document and knowledge management systems is also required.

Responsibilities

The Platform and Infrastructure Team Leader will lead the design and architecture of complex, scalable platforms involving diverse data ingestion and integration pipelines. They will collaborate across back-end, front-end, and platform teams to ensure a cohesive architecture that supports enterprise-level functionality. The leader will build and maintain highly scalable back-end systems using appropriate technologies such as Python and Go, develop and integrate APIs, and ensure data architecture supports multiple formats and use cases. They will oversee the deployment of solutions in a multi-tenant SaaS environment, ensure the architecture meets non-functional requirements, provide technical leadership, and continuously monitor and improve architecture to align with emerging trends in AI and SaaS platforms.

Skills

System Design

Cloud Architecture

Azure

GCP

AWS

Python

API Development

Data Integration

SaaS

User Experience

System Security

Document Management

Knowledge Management

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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