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

Santa Clara, CA, US • Posted 14 hours ago • Updated 19 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • RESTful
  • Interfaces
  • Workflow
  • Performance Engineering
  • Management
  • Data Structure
  • OAuth
  • OIDC
  • DevOps
  • Collaboration
  • UI
  • Data Analysis
  • Python
  • Microservices
  • Database
  • Relational Databases
  • PostgreSQL
  • SQL
  • Optimization
  • System Integration
  • Data Integration
  • Extract
  • Transform
  • Load
  • Authentication
  • Authorization
  • RBAC
  • API
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Linux
  • Debugging
  • Performance Tuning
  • Flask
  • Django
  • Microsoft Certified Professional
  • Servers
  • Artificial Intelligence
  • Databricks
  • Amazon Web Services
  • Messaging
  • Apache Kafka
  • SAP
  • SFC
  • Manufacturing Execution System
  • Orchestration
  • Docker
  • Kubernetes
  • Splunk
  • React.js
  • Node.js

Summary

Job Title: Senior Backend Software Engineer (Python / API Integrations & AI Agents)

Santa Clara, CA

12+ Months Contract

Position Overview

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.

Key Responsibilities
  • 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.

Qualifications

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).

Thanks

Sri Vardhan Chilakamukku
Infobahn SoftWorld Inc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: infobahn
  • Position Id: 2026-63214
  • Posted 14 hours ago
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