Senior Software Engineer (Team Lead)

Job description

About Glia Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win against megabanks and fintechs. Glia's Banking AI Operating System is a central intelligence layer on top of existing tech stacks, activating an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record. These banking-trained agents automate workflows across voice and digital–from front office to back office–resulting in decreased operational costs and the Universal Banker model. Trusted by 700+ banks and credit unions for its ironclad security and reliability, Glia delivers the industry’s first contractual no-hallucination guarantee. It’s why Glia customers quickly and confidently put Banking AI to work with measurable results from day one. More information about Glia can be found at glia.com http://glia.com. The Mission and The Work This role is for a deeply technical engineer ready to multiply their impact through leadership without losing their hands-on edge. You will lead the Nexus team, shaping the systems and features that orchestrate interactions—specifically text-based connectors and data flow—across Glia. You will manage a distributed, 6-person team of staff, senior, and entry-to-mid-level engineers operating across Tartu, Estonia, and Poland (EET/EEST). You'll work alongside some of Glia's earliest engineers, the people who built these systems and still run them. The Ramp-Up (First 3 Months) You will start as a hands-on Senior Engineer to build a strong foundation. You will: - Ship production code and learn the Interaction Core systems end-to-end. - Understand the mechanics of the interaction engine and text-based connectors. - Get to know the team, the codebase, and Glia’s project delivery methodologies. The Team Lead Role (Post Ramp-Up) Once you step up, your time will shift to ~60% leadership and ~40% hands-on coding. You will own: - Delivery & Architecture: Translate ambiguous goals into prioritized work, unblock the team, set the technical direction, and drive long-term architectural decisions. - People & Mentorship: Run 1:1s, manage performance, and coach project leads to sharpen their communication and decision-making. - AI Leverage & Quality: Establish workflows for AI-assisted coding, setting the review standards and guardrails so the team's output scales without compromising quality. - Hands-on Contribution: Lead by example by staying close to the code and taking on high-leverage technical work. Our tech stack - Coding languages: Elixir, Ruby, Javascript (React) - Current Persistence Solutions: Amazon RDS for PostgreSQL, DynamoDB, S3 - Infrastructure: AWS - Monitoring: DataDog - CI/CD: Jenkins, Argo CD - AI: Gemini, CoPilot, Claude Code - Infrastructure as Code: Terraform - Other: Kafka, GitHub, Kubernetes, Docker What We’re Looking For - Architecture & Technical Judgment: You own the design of complex components, make sound tradeoffs, and spot risk. When AI builds the code, system design becomes the scarce, highly valued skill. - Trusted Delivery: You have a track record of shipping reliable outcomes, de-risking projects, and owning quality—including verifying and standing behind agent-generated code. - Project Leadership Through Others: You have partnered with PMs to lead projects from idea to delivery, and you know how to grow that capability in your team's project leads rather than owning every initiative directly. - Applied AI Fluency: A core requirement. You actively use tools like Claude to design, build, review, and ship. You can direct agents, verify their output, and understand exactly where they do and do not help. - Drive & Learning Velocity: You run at problems, absorb new tools and practices quickly, and naturally mentor those around you. - Leadership Instincts: You set direction, unblock people, and raise the bar without micromanaging. Ideally, you bring prior tech lead, team lead, or mentorship experience, along with a background in performance management. Glia is an equal-opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. The Glia Talent Acquisition team uses @glia.com http://glia.com and @ darina.danchenko@gliatalent.comgliatalent.com http://gliatalent.com email addresses for coordinating interviews, providing updates, and sending documents. Our hiring process involves an introduction, practical and team interviews, and a decision and offer. For more information, visit our Recruitment Privacy Notice page https://www.glia.com/eu-recruitment-privacy-notice or contact our talent team via talent@glia.com