pWe are looking for an experienced Software Engineer to build, operate, and scale the backend infrastructure powering innovative AI-driven developer tools. In this role, you will take ownership of production services, including infrastructure supporting AI agents, developer assistants, and Model Context Protocol (MCP) integrations. You will focus on ensuring reliability, security, performance, and observability in an environment where AI-driven traffic introduces unique infrastructure challenges. Working closely with platform, security, and infrastructure teams, you will help shape scalable architectures and improve operational excellence. This is a hands‑on engineering position offering significant ownership over systems running in production. You will join a globally distributed, asynchronous engineering environment that values autonomy, open‑source development, and continuous improvement. /p h3Accountabilities: /h3 ul liBuild, deploy, operate, and scale production backend services supporting AI-powered developer tools, including MCP servers, agent skills, and AI assistants. /li liOwn service architecture and infrastructure decisions, improving system reliability, maintainability, scalability, and deployment processes. /li liDefine and monitor service reliability objectives (SLOs), track error budgets, and prioritize improvements in collaboration with Site Reliability Engineering (SRE) teams. /li liParticipate in the team's on-call rotation, investigate production incidents, coordinate resolutions, and develop incident reports, runbooks, and preventive solutions. /li liManage operational support requests and identify recurring issues that can be addressed through long‑term engineering improvements. /li liDesign and maintain authentication and authorization systems for AI agents and machine clients, including OAuth applications, scoped tokens, permissions, and secure access management. /li liEstablish and maintain comprehensive observability through metrics, distributed tracing, logging, dashboards, and alerting systems. /li liManage AI agent traffic, implementing rate limits, capacity controls, cost safeguards, and mechanisms to handle dependency failures and unexpected traffic spikes. /li liCollaborate with Platform, SRE, Authentication, Billing,



and Edge Functions teams to improve shared infrastructure, release processes, security, and operational practices. /li liContribute to the development of AI tooling infrastructure, ensuring that reliability, security, and performance remain central to engineering decisions. /li /ul h3Requirements: /h3 ul liAt least 5 years of experience building, deploying, and operating production backend services, including participation in on-call rotations. /li liStrong programming skills in TypeScript or Go, with practical working knowledge of the other language. /li liProven experience designing and maintaining APIs, including versioning, error handling, rate limiting, and backward compatibility. /li liStrong understanding of OAuth, OpenID Connect (OIDC), JWT, and API authorization, with the ability to troubleshoot authentication and permission issues in production environments. /li liGood knowledge of PostgreSQL and relational database systems. /li liExperience with CI/CD pipelines, Docker, containerized deployments, and Infrastructure as Code (IaC). /li liAbility to troubleshoot distributed systems using metrics, logs, and traces to identify performance bottlenecks and service failures. /li liStrong written and verbal communication skills, with the ability to collaborate across teams and work effectively in globally distributed, asynchronous environments. /li liAdaptability, ownership, and the ability to navigate ambiguity while delivering solutions in fast‑paced engineering environments. /li liDeep expertise in at least one of the following areas: ul libAPIs and Authentication: /b Experience designing permission models, token scopes, and OAuth flows for third‑party integrations or machine clients, including safely migrating authentication systems without disrupting existing users. /li libProduction Operations: /b Hands‑on experience managing production services, participating in on-call rotations,



developing alerts and runbooks, implementing SLOs, and improving system reliability. /li libGateways and Distributed Systems: /b Experience building or operating proxies, gateways, or distributed services, troubleshooting retries, partial failures, upstream outages, and making appropriate fail‑open or fail‑closed decisions under degraded conditions. /li /ul /li /ul h3Nice to have: /h3 ul liExperience with AI agent tooling, Model Context Protocol (MCP), or infrastructure serving AI agents and LLM clients. /li liExperience extracting services from larger codebases while maintaining compatibility with existing integrations. /li liFamiliarity with observability platforms such as Grafana, OpenTelemetry, or Logflare, along with practical experience implementing SLOs. /li liContributions to open‑source projects, particularly within the Node.js, Go, TypeScript, or API tooling ecosystems. /li /ul h3Benefits: /h3 ul libFully Remote: /b Work from anywhere in the world, with no office attendance requirements. /li libCo‑working Allowance: /b Access to a WeWork membership or co‑working budget to support your preferred working environment. /li libEquity Ownership: /b Employee Stock Option Plan (ESOP), giving every team member an opportunity to share in the company's long‑term growth. /li libTechnology Allowance: /b Dedicated budget for professional equipment, including laptops, monitors, headphones, and other work essentials. /li libHealth Insurance: /b 100% health insurance coverage for employees and 80% coverage for dependents, regardless of location. /li libAnnual Company Off‑sites: /b Opportunities to connect and collaborate with colleagues during a company‑wide gathering in a different city each year. /li libFlexible Working Arrangements: /b Asynchronous work culture with flexibility to organize your schedule and manage your responsibilities independently. /li libProfessional Development: /b Annual learning and education allowance for courses, books, conferences, and other career development opportunities. /li libGlobal Collaboration: /b Join an international, remote‑first engineering team working across more than 60 countries and 20 languages. /li /ul #J-18808-Ljbffr

📌 Software Engineer - AI Tooling Infrastructure (Italia)
🏢 Jobgether
📍 Italia