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Backend Developer Lead - AI Platform Services

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Onsite

Backend Developer Lead - AI Platform Services

Hucon Solutions

Backend Developer Lead - AI Platform Services

Skills

Google Cloud PlatformPythonDevOpsMicroservicesAIGitHubKubernetesFastAPIComplianceTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Your responsibilities:

Design and develop high-performance REST APIs and microservice components for the Agent Hub platform using Python and FastAPI.

Implement identity, authentication, and routing services supporting our Split-Identity Model (OAuth user tokens, service accounts) in compliance with DORA and ISO 27001 requirements.

Build and maintain CI/CD pipelines using GitHub Actions to ensure automated testing, security scanning, and reliable deployments.

Deploy, monitor, and scale backend services on Kubernetes clusters running on GCP, ensuring high availability for enterprise-grade workloads.

Collaborate closely with the Germany-based Agent Chain team to integrate backend services with the event-driven, multi-agent orchestration layer (LangGraph, MCP).

Contribute to DevSecOps practices by embedding security checks, structured logging, and observability into every service from day one.

Your profile:

Bachelor's degree in Computer Science, Engineering, or a related field, with solid experience building production-grade backend systems.

Strong programming skills in Python with hands-on experience in FastAPI or comparable async web frameworks and RESTful API design patterns.

Proven experience designing and operating microservice architectures, including service discovery, API gateway patterns, and inter-service communication.

Working knowledge of Kubernetes, GCP, and CI/CD tooling (GitHub Actions,Terraform) with a foundational understanding of DevSecOps principles.

Familiarity with OAuth 2.0 / OpenID Connect flows and secure identity

management in regulated or enterprise environments.

Nice-to-have: Experience with event-driven architectures, containerized AI workloads, familiarity with financial market infrastructure regulations (EU AI Act,DORA, NIS2),

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