Software Engineer - AI Tooling Infrastructure

New

JobgetherAI developer tools

Listing location: India; Structured job location: IndiaFull-TimeSenior

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Experience: At least 5 years of experience building, deploying, and operating production backend services, including participation in on-call rotations.
Required Skills: DockerPostgreSQLOAuthTypeScriptGoCI/CDRESTful APIs

At least 5 years of experience building, deploying, and operating production backend services, including participation in on-call rotations.
Strong programming skills in TypeScript or Go, with practical working knowledge of the other language.
Experience designing and maintaining APIs, including versioning, error handling, rate limiting, and backward compatibility.
Strong understanding of OAuth, OpenID Connect (OIDC), JWT, and API authorization, including troubleshooting authentication and permission issues in production.
Good knowledge of PostgreSQL and relational database systems.
Experience with CI/CD pipelines, Docker, containerized deployments, and Infrastructure as Code (IaC).
Ability to troubleshoot distributed systems using metrics, logs, and traces to identify performance bottlenecks and service failures.
Deep expertise in at least one area: APIs and authentication; production operations; or gateways and distributed systems.
Experience designing permission models, token scopes, and OAuth flows for third-party integrations or machine clients, or relevant production operations or gateway experience.
Strong written and verbal communication skills and ability to collaborate across teams in globally distributed, asynchronous environments.

Build, deploy, operate, and scale production backend services for AI-powered developer tools, including MCP servers, agent skills, and AI assistants.
Own service architecture and infrastructure decisions to improve reliability, maintainability, scalability, and deployment processes.
Define and monitor SLOs, track error budgets, and prioritize improvements with SRE teams.
Participate in the on-call rotation, investigate incidents, coordinate resolutions, and develop incident reports, runbooks, and preventive solutions.
Manage operational support requests and address recurring issues through long-term engineering improvements.
Design and maintain authentication and authorization for AI agents and machine clients, including OAuth applications, scoped tokens, permissions, and secure access management.
Establish observability using metrics, distributed tracing, logging, dashboards, and alerting.
Manage AI agent traffic with rate limits, capacity controls, cost safeguards, and mechanisms for dependency failures and traffic spikes.
Collaborate with Platform, SRE, Authentication, Billing, and Edge Functions teams on shared infrastructure, releases, security, and operational practices.

View Full Description & ApplyYou'll be redirected to the employer's site