Infrastructure Engineer, Conversational AI

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Conversational AI, Biotechnology, SaaSIndustries

Requirements

Candidates must have strong experience in AWS, EKS, and Jenkins or similar tools, along with experience in building and maintaining reliable and highly available systems. Required experience includes cloud networking, internet security, identity and access management, commonly used automation languages, and a background as an Automation/DevOps or Infrastructure Engineer. Proficiency in coding beyond scripting and strong verbal and technical writing skills are also necessary.

Responsibilities

The Infrastructure Engineer will develop and manage internal technology infrastructures and customer deployments, monitor infrastructure for performance, cost, and security, and develop and maintain automation tools. Responsibilities include maintaining parity across development and production environments, managing the organization's internal accounts, network infrastructure, and system access, and participating in policy, design, and tool selection. The role involves participating in compliance audit related projects such as SOC2, GDPR, and PCI-DSS, discussing architecture design and impact, and producing documentation on code, system design, architecture, and solutions.

Skills

AWS

Kubernetes

EKS

Linkerd

Nginx

EFK

RDS

PostgreSQL

Aurora Serverless

RabbitMQ

ElastiCache

Automation

Infrastructure Management

Cloud-native

Monitoring

Security

Compliance

SOC2

GDPR

PCI-DSS

Documentation

System Design

Architecture

Glia

Digital customer service solutions for banks

About Glia

Glia provides digital customer service solutions specifically designed for financial institutions like banks and credit unions. Their platform includes various tools such as messaging, video, voice, and CoBrowsing, which allows customer service agents to interact with a customer's web browser in real-time. This technology enables financial institutions to engage with customers across multiple digital channels, allowing seamless transitions between chat, video calls, and voice calls without losing context. Glia's goal is to enhance customer service efficiency and user experience, ultimately improving customer satisfaction and loyalty. Unlike competitors, Glia focuses on the financial services sector, offering a tailored service that helps institutions modernize their customer interactions and increase online loan applications. By providing these tools as a service, Glia aims to help financial institutions deliver personalized support and boost customer retention.

New York City, New YorkHeadquarters

2012Year Founded

$147.8MTotal Funding

SERIES_DCompany Stage

AI & Machine Learning, Financial ServicesIndustries

201-500Employees

Infrastructure Engineer, Conversational AI

Requirements

Responsibilities

Skills

Glia

About Glia

Benefits

Stock Options

Professional Development Budget

Risks

Rapid AI adoption could lead to increased competition from new entrants.

Financial institutions may develop in-house digital customer service solutions.

Increasing regulatory scrutiny on AI and data privacy could raise compliance costs.

Differentiation

Glia's ChannelLess® architecture allows seamless transitions between communication channels.

Quality AnalystGPT provides real-time insights into customer needs and trends.

Glia's AI-driven solutions enhance customer experience and operational efficiency.

Upsides

Increased demand for AI-driven customer service in the financial sector.

Growing trend of integrating AI with customer service platforms.

Expansion of digital banking services boosts demand for Glia's solutions.