In this role, you will lead the design, build, and maintenance of scalable, production-ready systems for one of our innovative products.
Working alongside high-performing engineers, you will take full ownership of features end-to-end: from database architecture and high-performance backend microservices to modern frontend applications.
This is a high-impact position for a seasoned engineer looking to influence product direction and solve complex technical challenges in a fast-paced, global environment.
Our stack is React/TypeScript and NodeJS microservices on Kubernetes in AWS, with PostgreSQL, MySQL, ClickHouse, Redis, Grafana, and GitLab CI/CD – alongside a legacy Vue.js and C#/.NET platform running on Azure.
We embrace AI-assisted development – engineers work daily with tools like Claude Code across coding, code review, and system design.
What Youll Do
Design and develop and maintain new and existing features across the full stack (backend services and frontend web applications).
Collaborate with Product Managers and Designers to define product specifications and translate them into high-quality technical solutions.
Promote best practices in testing, performance, and security.
Participate in the on-call rotation and support production issue investigations and validations.
What Were Looking For:
Education: Bachelor's degree in Computer Science, Software Engineering,BA or BsC from a recognized university – A Must
Core Technical Skills: +7 years of experience, advanced knowledge n NodeJS and React/Vue (an advantages: backend ecosystem: C# or Java as well).
Cloud Exposure: Solid foundational understanding of cloud environments (AWS, GCP, or Azure)
Database experience – worked with both relational and non relational databases. Can be SQL, Oracle and for noSQK – MongoDB, Couchbase, DocumentDB or DynamoDB.
AI-First Mindset & Execution: Throughout your work experience in the last 2 years – you consistently apply an AI-first approach to problem-solving. (not treating AI as a simple autocomplete tool but leverages modern AI tooling, across the entire software development lifecycle) from rapid prototyping and architecture design to automated unit test generation and debugging.
Adaptability & Drive: Strong autodidact with a proven ability to learn complex concepts quickly and independently
Work Ethic: Highly passionate about technology, results-driven, proactive, and committed to delivering high-quality work.
Collaboration: Excellent team player with strong communication skills and a collaborative mindset
