TELECOMMUTE Lead Software Engineer - Python / Django

The Search Solutions, LLC

United States

15 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Logic Software Quality Code Review Database Queries Django Web Framework Electronic Data Interchange (EDI) Python (Programming Language) PostgreSQL Microsoft SQL Server

+19 more

OAuth Performance Tuning Systems Development Life Cycle Openid Connect Service Discovery Software Engineering TypeScript Openapi Google Cloud Large Language Models Backend Fastapi AngularJS Integration Frameworks Front End Software Development Virtual Agents Restful APIs Webhooks Microservices

Job description

As the Lead Software Engineer you will be part of the new Product Engineering team tasked with designing and building the next generation of Agentic AI-powered products. Acting as the Technical Lead and Primary Architect, you will be a hands-on leader responsible for the teams overall delivery. You will lead a small team by decomposing complex product requirements into actionable tasks, providing technical mentorship, and guiding the architectural direction while remaining deeply embedded in the codebase., Technical Execution: Lead technical delivery by translating high-level product roadmaps into actionable development cycles. Partner with Product Owners to define scope and ensure high-quality output through rigorous code reviews and technical mentorship

Transactional Microservices: Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core business logic, including shopping carts, order processing, and complex transactional workflows

Tool Engineering for Agents : Design and implement “Agent-Ready” APIs using Pydantic for strict type enforcement and OpenAPI/MCP for autonomous service discovery, allowing agents to execute business actions (like placing an order) with 100% reliability.

Integration Frameworks: Build and maintain secure, scalable integration layers (OAuth2, Webhooks) to connect the platform with diverse customer ERP and procurement systems

Observation-Friendly APIs: Implement advanced error-handling and “hinting” within API responses to allow autonomous agents to self-diagnose and correct invalid requests during complex multi-step tasks

AI-Native SDLC: Actively utilize autonomous coding agents to plan, generate, and test backend code, maintaining high velocity while ensuring code quality through agent-assisted peer reviews.

Security & Auth: Own the implementation of secure authorization protocols (JWT, OpenID Connect) to ensure that both humans and AI agents operate within strict permission boundaries

Performance Optimization: Monitor and optimize API latency and database query performance (PostgreSQL/MS SQL) to support real-time interaction for both web/mobile apps and high-frequency agent calls.

Requirements

Experience: 10 years of Software Engineering experience, with a proven history of leading technical squads, architecting, and building complex transactional backend systems.

Expert mastery of Python (FastAPI, Django) and proficiency in modern Front-end frameworks (Angular/Typescript).

Deep mastery of RESTful API design, specialized in Tool-Calling patterns and structured data exchange for LLMs.

Strong SQL skills (PostgreSQL/MS SQL) and production experience with OAuth2/JWT for secure service-to-service communication.

Experienced in working with cloud platforms (Google Cloud Platform, AWS) and deploying containerized services that are secure and scalable.

Demonstrated proficiency in using coding agents to accelerate the SDLC