[Remote] Infrastructure Engineer, Conversational AI at Glia

Canada

Glia Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Conversational AI, Biotechnology, SaaSIndustries

Skills

Key technologies and capabilities for this role

AWSKubernetesEKSLinkerdNginxEFKRDSPostgreSQLAurora ServerlessRabbitMQElastiCacheAutomationInfrastructure ManagementCloud-nativeMonitoringSecurityComplianceSOC2GDPRPCI-DSSDocumentationSystem DesignArchitecture

Questions & Answers

Common questions about this position

Is this position remote-friendly?

The role supports remote work with processes optimized for remote collaboration, accepting candidates from anywhere in Canada. Team members are primarily located in Vancouver and Toronto and work in the Pacific Time zone.

What key skills are required for the Infrastructure Engineer role?

Candidates need strong experience in AWS, EKS, Jenkins or similar tools, experience building reliable systems, cloud networking, security, IAM, automation, and coding beyond scripting, plus proficient verbal and technical writing skills.

What is the team structure like for Infrastructure Engineers?

All Infrastructure Engineers report to a dedicated Engineering Manager, with work driven by quarterly Objectives and Key Results set with the Director of Engineering. Projects are planned, led, and executed by the engineers themselves.

What is the tech stack used by the Infrastructure team?

The stack includes AWS, Kubernetes (AWS EKS), Linkerd, Nginx, EFK for infrastructure; Amazon RDS, Aurora, RabbitMQ for persistence; ElastiCache Redis for cache; Prometheus/Grafana for monitoring; Jenkins, Spinnaker, Helm for CI/CD; and Terraform for IaC.

What makes a strong candidate for this role even if they don't meet every requirement?

Glia encourages curious and knowledge-hungry candidates to apply even if they don’t meet all requirements exactly, valuing strong experience in core areas like AWS, EKS, automation, and reliable systems.

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

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.

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