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# Senior Backend Software Engineer (Python / API Integrations & AI Agents)

- **Company:** INFOBAHN SOFTWORLD INC
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Programming, Databases, Continuous Integration, Data Integration, Extract Transform Load (ETL), Data Structures, Relational Databases, Software Debugging, DevOps, Django Web Framework, Python (Programming Language), PostgreSQL, Linux System Administration, Enterprise Messaging Systems, Node.Js, OAuth, OpenID, Performance Tuning, Software Architecture, Role-Based Access Control, JSON Web Token, SAP (Applications), SQL Databases, Systems Integration, Enterprise Data Management, Data Logging, Enterprise Software Applications, ReactJS, Flask (Web Framework), Large Language Models, Backend, Agentic-AI, Git, Fastapi, Containerization, Kubernetes, Data Analytics, Apache Kafka, Front End Software Development, Api Design, Restful APIs, Model Context Protocol, Splunk, Data Pipelines, Api Management, Engineering Base, Docker, Databricks, Web Api, Microservices
- **Published:** October 20, 2026
- **Apply:** https://www.dice.com/job-detail/2bea75ca-fe10-409e-9847-a75a7373f827

## About the Role

Required:

 * Programming & Architecture: Strong, hands-on experience in Python and modern backend application/microservices architecture.
 * API Development: Proven track record in designing, building, and documenting production-grade REST APIs.
 * Databases: Advanced proficiency with relational databases, specifically PostgreSQL, schema design, and complex SQL query optimization.
 * System Integration: Solid background in data integration, event handling, and data pipeline design between disparate enterprise applications.
 * Security & Environments: Strong command of authentication/authorization patterns (RBAC, API keys, tokens), Git, CI/CD, and development within Linux environments.
 * Troubleshooting: Deep experience in backend profiling, monitoring, debugging, and performance optimization.

Preferred / Nice-to-Have:

 * Framework experience in FastAPI, Flask, or Django.
 * Hands-on exposure to MCP (Model Context Protocol) servers or integrating backend APIs with AI/Agentic systems.
 * Experience with Databricks, AWS, or enterprise messaging systems like Apache Kafka.
 * Prior integrations with enterprise systems like SAP or shop floor control (SFC)/manufacturing execution systems.
 * Containerization and orchestration experience using Docker and Kubernetes.
 * Familiarity with Splunk logging/telemetry and basic frontend technologies (React / Node.js).

## Description

We are looking for a skilled Backend Software Engineer to build and scale robust backend services, microservices, enterprise integrations, and automation workflows. In this role, you will power mission-critical engineering applications (including Mission Control, CAE platforms, and SPT Hub), orchestrating high-volume data movement between enterprise systems (SAP, Databricks, Splunk) and creating modern API/MCP interfaces to support traditional apps as well as autonomous AI-agent workflows., * Backend Architecture & APIs: Design, build, and optimize scalable microservices and RESTful APIs connecting web frontends, databases, and enterprise platforms.

 * Enterprise & Data Integration: Build robust pipelines and connectors integrating complex systems including SAP, SFC, Databricks, Splunk, and distributed engineering data sources.
 * AI & Agent Enablement: Design API endpoints and Model Context Protocol (MCP) server interfaces to expose platform capabilities and enterprise data to autonomous AI agents and modern LLM workflows.
 * Database & Performance Engineering: Design relational schemas, write optimized SQL queries, and manage data structures in PostgreSQL while tuning latency, throughput, and system resource utilization.
 * Security & Governance: Implement secure authentication/authorization protocols (OAuth2, OIDC, JWT, RBAC) across all service endpoints and inter-service communications.
 * Automation & DevOps: Develop event-driven automation for data movement and system synchronization; maintain containerized deployments (Docker, Kubernetes) and CI/CD pipelines in Linux environments.
 * Cross-Functional Collaboration: Partner closely with UI developers (React), database administrators, data analytics teams, and Power Platform engineers to ship unified solutions.