We are looking for a Senior Engineer to join a project focused on building and scaling the enterprise part of a production-grade platform that improves code review workflows through applied AI. The main focus of this project is enterprise feature development, including self-hosted deployments, backend scalability, compliance, and security-related capabilities, and integrations with existing enterprise tools and workflows. Design, develop, and maintain enterprise features and systems for the platform; Build scalable, secure, and highly available backend systems to support large enterprise customers; Maintain and extend the self-hosted (Docker-based) deployment used in customer environments; Develop and support integrations with multiple code hosting providers and other enterprise tools; Work with customer-hosted LLM gateways; Collaborate with product managers, designers, and engineers to deliver features aligned with enterprise needs; Participate in design and code reviews to ensure performance, quality, and adherence to best practices; Interface with customers and internal stakeholders to gather requirements, provide technical support, and ensure the successful deployment of enterprise features; Follow release and deployment processes to ensure system stability, data integrity, and compliance. Classic EU schedule (9-18 CET/EET); 1 weekly sync with partial PT time zone overlap (typically 17–19 CET). Short Bytex HR introductory discussion 1-2h Bytex technical discussion with one of our senior engineers 3 interviews with the customer: Short introductory conversation with Director of Engineering (15–20 minutes); Algorithm & data structures interview (1h); Hands-on/live coding interview (1h). Offer presentation If you want to apply to one of the open positions, please fill in the form or send us an email at *******.
5+ years of experience building backend systems in production environments, preferably SaaS or enterprise software, in Node;
Proficiency in one or more modern backend languages (TypeScript, Node, Go, Java, or similar);
Experience designing and maintaining APIs (REST and/or GraphQL);
Solid experience with distributed systems, including microservices, async job processing, and event-driven architectures;
Experience with relational databases (PostgreSQL, MySQL);
Experience working with Docker and containerized environments, including self-hosted deployments;
Familiarity with cloud platforms (AWS or GCP), CI/CD pipelines, and production observability;
Strong understanding of software engineering best practices (testing, code reviews, version control);
Product-oriented mindset with the ability to understand customer needs and make thoughtful technical trade-offs;
Ability to work independently and take ownership in a fast-moving, feature-heavy environment;
Familiarity with code search, static analysis tools, code graph systems, AI/LLM-based integrations, open-source contributions, or agent-based systems is considered a plus.
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