Software Engineer, Platform AI at Glia

The role supports hybrid or remote work with optimized processes, but for colleagues in Estonia, working from the office more often than not is highly preferred. Engineering teams with remote members meet in person at least twice a year, and you should be able to travel for these gatherings.

Key requirements include ownership of tasks, system design for scalable systems, commitment to code quality and testing, AI proficiency with tools like Copilot and Gemini, technical foundation in web security, RESTful APIs and microservices, cloud proficiency especially AWS, CI/CD knowledge, and at least 3 years of professional software development experience.

The tech stack includes Backend: Elixir, Ruby; Frontend: React, JavaScript, TypeScript; Infrastructure: AWS, Kubernetes (EKS), Docker, Terraform, Ansible, Istio; Databases: PostgreSQL (RDS), DynamoDB, Redis/Valkey, Apache Druid; Event Streaming: Apache Kafka, RabbitMQ; AI: Amazon Bedrock, Github CoPilot, Google Gemini; plus CI/CD tools.

Strong candidates are driven, self-motivated, take ownership, passionate about mastering their craft, life-long learners, curious, and not afraid to ask questions or challenge ideas. Even if you miss a few qualifications, apply if you're interested in learning them.

You will join the Platform AI Group, with a mission to use AI and LLM innovations to boost customer efficiency. The culture values combining human abilities with technology, in-person connections, collaboration, and team gatherings twice a year.