Backend Engineer Senior/Mid

About the Position

Senior Backend Engineer

Location: Remote

This role is for a senior backend engineer who can design and own the trust layer of an AI-native claims operation.

We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve. Expect real ownership from system design through production - especially around multi-tenancy, access control, and regulated data.

You solve ambiguous problems by shaping the right architectural approach, then ship, iterate, and keep it healthy in production.

We build AI-native. Our agents handle claim logic; you own the system underneath - secure by design, multi-tenant, and compliant. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration.

This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission.

Location - Remote. International team; main office in Berlin. Expect async-first collaboration across time zones and occasional travel for onsites.

Responsibilities

• Design and ship backend services, APIs, data flows, and background processing for the claims platform
• Own the canonical data model for claims, stakeholders, policies, and documents
• Implement multi-tenancy and access control so every customer, partner, and user sees only what they should
• Build secure, stable integrations to CRM/core systems and external partner APIs
• Ensure GDPR-compliant data handling, isolation, and auditability across the stack
• Turn vague requirements into concrete technical plans, trade-offs, and execution
• Own services after launch: reliability, observability, performance, and incident follow-through
• Instrument what you ship and use production signal to iterate - not just to keep the lights on
• Design and maintain developer tooling, automated tests, and CI/CD pipelines
• Work closely with AI, frontend, product, and ops to deliver end-to-end outcomes
• Improve engineering leverage with AI tooling and automation, not AI as a gimmick
• Raise the quality bar through code review, design review, and pragmatic technical leadership

Requirements

• Strong senior-level backend (or full-stack with deep backend ownership) experience in production systems - typically 3+ years with real product ownership
• Strong Python and/or TypeScript skills; ability to design clean, maintainable backend code
• Experience building or operating multi-tenant SaaS
• Experience with authentication, authorization, and permissions models
• Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure)
• Comfort with database schema design and performance tuning for real-time / high-throughput scenarios
• A security-conscious approach: enterprise-grade requirements, careful handling of sensitive data, and clear thinking about the security implications of systems and AI workflows
• You design clean, stable APIs and know how to keep them backwards-compatible
• You are used to CI/CD, automated testing, and shipping iteratively
• Ability to go from problem statement to design to production rollout with real ownership
• Clear written and verbal communication in English - you explain systems, trade-offs, and incidents without hiding behind jargon
• Comfortable working remote in an international team: strong written communication, async habits, and proactive ownership without constant oversight
• AI-native working style: you already use AI tools in your daily workflow, and you want to improve how the team builds - better tooling, workflows, and engineering leverage

We Offer

• Competitive salary: 35 - 45 EUR per month
• Remote work options
• Opportunity to work with an international team
• Professional development budget

About the Company

Vectoryx GmbH is a Berlin-based, internationally distributed technology company building an AI-native platform for claims operations. It serves an ecosystem that includes insurers, property managers, and restoration companies, using AI agents to support claims logic and real-time collaboration. The company operates in a regulated, data-sensitive environment and emphasizes secure-by-design, multi-tenant, GDPR-compliant systems, strong access controls, auditability, and reliable partner integrations. Vectoryx appears to be a small, senior, high-growth team with a remote-first, async culture. Its distinguishing approach is an AI-native engineering model that invests in developer tooling, automation, observability, and practical use of AI to improve how products are built. Its culture stresses ownership, clear communication, sound judgment, continuous learning, and high engineering standards.