• Build reliable backend services in Go across the backup and restore pipeline • Implement SaaS connectors that integrate with M365, Google Workspace, and Salesforce APIs — handling authentication, pagination, delta sync, and error recovery • Write thorough unit and integration tests; treat correctness as a first-class requirement • Participate in code reviews and design discussions • Debug and resolve production issues within your area of ownership • Collaborate with DevOps on deployment, monitoring, and on-call support

Role Description We are seeking an experienced Senior Backend Engineer to design, develop, and maintain scalable backend services. The ideal candidate will have strong expertise in: - Node.js - API design - Modern cloud-based architecture Focus on: - Performance - Reliability - Scalability Qualifications - Experience in backend development - Strong knowledge of Node.js - Expertise in API design - Familiarity with cloud-based architectures Requirements - Proven experience in developing scalable backend services - Ability to work collaboratively in a team environment - Strong problem-solving skills Benefits - Inclusive workplace culture - Opportunities for personal and professional growth - Commitment to well-being and work-life balance

Role Description You'll be a core member of a small, high-ownership engineering team building and evolving the distributed microservices backend that powers Routescanner. You'll work across a complex domain – route optimization, schedule ingestion, geo-routing, and carrier data – at real scale, on AWS. This is not a role for someone who waits for specs to land in their inbox. You'll take full ownership of services from design through production, make architectural decisions, and proactively identify and fix problems before they become incidents. What You'll Work On - Design, build, and maintain JVM-based microservices (Java / Kotlin) running on AWS ECS, App Runner, and Lambda - Work with a rich data layer: PostgreSQL, DynamoDB, RedShift, Redis, and S3 - Build and consume event-driven integrations via RabbitMQ and SNS - Collaborate on API design across REST (API Gateway) and BFF patterns - Instrument services with OpenTelemetry, Tempo, Prometheus, and Grafana - Ship via GitHub Actions CI/CD pipelines with Docker and ECR - Work with external integrations including Auth0, GraphHopper, PostHog, and Sentry - Leverage AI-assisted development tools (Claude) as part of your daily workflow - Participate in architecture decisions and technical direction – your opinion will carry weight Qualifications - 5+ years of professional backend development in Java and/or Kotlin - Fluent in Polish and English - Solid understanding of distributed systems design, microservice patterns, and event-driven architecture - Hands-on production experience with AWS (ECS, Lambda, S3, RDS or DynamoDB) - Experience with relational databases (PostgreSQL) and NoSQL (DynamoDB or similar) - Strong command of Docker and containerized deployments - Experience with CI/CD pipelines – we use GitHub Actions - Clean code as a practice, not a talking point – you write code that your colleagues can confidently extend - Genuine ability to self-direct: you can take a loosely defined problem, break it down, make decisions, and deliver Requirements - Kotlin specifically (greenfield services are Kotlin-first) - Experience with message brokers (RabbitMQ, SQS/SNS) - Familiarity with observability tooling (OpenTelemetry, Prometheus/Grafana stacks) - Background in logistics, routing, geospatial, or supply chain domains - Experience integrating third-party APIs (auth providers, mapping/routing engines, analytics) - Familiarity with AI-assisted development tools Benefits - Competitive salary benchmarked to your market - Remote-friendly setup (we care about output, not location) - Direct impact on a product used by global logistics professionals every day - Work in a genuinely interesting domain – intermodal routing is hard, and the problems are real - A lean, senior team where your architecture decisions actually ship - AI tooling as a first-class part of the workflow – not an afterthought

• Own end-to-end backend architecture for the AI platform • Architect and evolve AI pipelines • Enhance and harden the unified LLM provider layer • Design the distributed worker system for heavy pipeline execution • Lead the AWS deployment architecture • Define and enforce API design standards • Own the PostgreSQL schema for extraction metadata • Implement secure service-to-service communication • Instrument the platform with structured logging and alarms • Mentor senior engineers and conduct architecture reviews