Senior Software Engineer - Conversational AI (TypeScript) at Glia

Estonia

Glia Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Conversational AIIndustries

Requirements

  • 5+ years of experience as a Software Engineer
  • Great team player contributing to create good team culture
  • Experience with TypeScript, Node.js, Express, and other related technologies
  • Strong experience with REST API design and implementation
  • Results-oriented with a high attention to detail and quality
  • Strong organizational and planning skills
  • Self-starter with the energy, drive and determination to accomplish goals
  • Proficient verbal and technical writing skills
  • Ability to work with 4-hour overlap from 9 AM to 1 PM Pacific Time (PT)

Responsibilities

  • Lead the design, development, and deployment of complex software solutions
  • Collaborate with cross-functional teams to define, design, and ship new features
  • Maintain and improve existing codebases, identifying areas for enhancements
  • Mentor junior software engineers, providing guidance and support through code reviews, design discussions, and troubleshooting sessions
  • Stay updated on new technologies and propose ways to incorporate them into future projects

Skills

Key technologies and capabilities for this role

TypeScriptNode.jsPythonKubernetesmicroservices

Questions & Answers

Common questions about this position

What is the work arrangement or location policy for this role?

The team is optimized for remote collaboration but requires a 4-hour overlap from 9 AM to 1 PM Pacific Time (PT), which is 7 PM to 11 PM Eastern European Summer Time (CEST) for real-time communication.

What are the key skills required for this Senior Software Engineer role?

Candidates need 5+ years of experience as a Software Engineer, proficiency in TypeScript and Node.js for leading microservices development, plus experience with technologies like Kubernetes, AWS, PostgreSQL, and Redis. Great team player skills are essential, along with the ability to mentor juniors and work autonomously.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the team structure like for Team Synapse?

Team Synapse uses Node.js, TypeScript, and k8s to build Conversational AI services; all software engineers report to a dedicated Engineering Manager, and the team operates with high autonomy, planning, leading, and executing projects directly.

What makes a strong candidate for this role?

A strong candidate is a visionary engineer with 5+ years of experience who thrives on autonomy, acts as a true owner of their work, excels as a great team player, and can lead design, mentor juniors, and propose new technologies.

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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