Space Inch continues to grow! Following a string of successful hires, we’re expanding our engineering team once again. We’re currently looking for a Senior Full-stack Engineer to contribute to one of our longest-running and most successful projects. You’ll be part of an established Space Inch engineering team while also collaborating closely with our client’s team - a major global FinTech corporation in the field of investment management with multiple long-term initiatives underway. Are you a seasoned engineer with deep Vue.js expertise and a strong interest (or background) in Python? If you’re passionate about shipping high-quality, refined applications, we’d love to hear from you! Our Mission, Vision, and Values At Space Inch, we prioritize alignment with our clients and team, ensuring a deep understanding of their needs. We are committed to delivering exceptional work while supporting the personal and professional growth of our team members. About Working at Space Inch - Our team is around 80 people, primarily based in Croatia, but also with members in South America, Serbia, and the US; the product team mostly being in the US, and engineering in Croatia and Brazil - We are remote-first, but occasional travel may be required, e.g. for our annual company retreats in Croatia - We work on end-to-end projects with a long-term vision - We strongly support work-life balance for our team members, even though we work in different time zones

• Own frontend architecture, coding standards, and best practices • Build scalable, high-quality Vue.js applications • Collaborate with designers, PMs, and backend engineers • Conduct code reviews and mentor developers • Stay current with frontend trends and propose improvements • Getting up to speed and learning Python for occasional BE work

• Engineer Agentic Deployments: Design, build, and ship multi-step, multi-modal agentic workflows (voice, SMS, video, chat, web) tailored to specific customer use cases. Own these systems end-to-end from requirements through production monitoring. • Solve Hard Problems Creatively: Each deployment surfaces novel challenges: complex scheduling logic, real-time EHR data flows, multi-outcome conversations, adaptive patient journeys. You are expected to think independently and build solutions that go beyond existing patterns. • Translate Requirements into Technical Designs: Partner with Customer Success and stakeholders to understand operational needs, then architect agentic workflows that address them. Push back when requirements don't make sense. Propose better approaches when you see them. • Ship to Production with High Standards: Deploy and operate customer-facing systems with strict reliability, compliance, and quality requirements. Instrument thoroughly, monitor outcomes, and iterate based on real-world performance. • Contribute to the Platform: Identify reusable patterns across deployments and contribute them back as platform capabilities. Improve shared tooling, workflow primitives, and infrastructure based on what you learn in the field. • Cross-Functional Collaboration: Work with product, data, engineering, and clinical teams to align deployment work with broader platform direction and company goals.

• Design, develop, and operate backend services that power Arbiter's core platform, with an emphasis on reliability, modularity, and clean system boundaries. • Build and maintain robust connections to third-party systems (e.g. cloud APIs, AI services, data exchange services, EHRs, telephony platforms). Own the abstractions that make these integrations reusable and adaptable across customers with minimal rework. • Design and operate high-scale APIs (REST, gRPC, webhooks) and manage complex data flows including real-time streaming, batch processing, file-based exchange (e.g. SFTP, HL7, EDI), and event-driven pipelines. • Ensure high throughput, low latency, and fault tolerance across backend services through strong system design, monitoring, alerting, and operational best practices. Handle vendor failures, retries, idempotency, and graceful degradation. • Build and maintain ETL/ELT pipelines, manage schema evolution, and ensure data quality and integrity across systems with varying formats, standards, and reliability. • Implement and uphold best practices for CI/CD, testing, observability, and deployment of backend systems in production cloud environments. • Partner closely with AI engineers, product managers, implementation teams, and customer stakeholders to translate ambiguous, high-impact problems into scalable technical solutions. • Mentor engineers, contribute to internal documentation and standards, influence technical direction, and raise the overall engineering bar. • Take end-to-end ownership of critical systems, including participating in on-call rotations and leading incident resolution when production issues arise.