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# Software Engineer

- **Company:** Kforce Inc.
- **Location:** Pittsburgh, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Cloud Computing, Computer Programming, Continuous Integration, Data Integration, Extract Transform Load (ETL), Database Design, Django Web Framework, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Redis, Tensorflow, Standard Sql, Software Engineering, Systems Integration, TypeScript, Web Applications, Web Application Frameworks, Data Logging, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Caching, Indexer, Backend, Fastapi, Event Driven Architecture, Pytest, Containerization, Git Flow, Performance Monitor, Front End Software Development, Docker
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-pittsburgh-pa-usa-58895391

## About the Role

a Redis, pgvector) focusing on schema, indexing, and optimization * Deploy and manage cloud-native solutions on AWS with Docker, ECS/EKS, Lambda, S3, RDS * Implement CI/CD pipelines, automated testing, staged deployments, and rollback strategies * Monitor performance via logging, metrics, tracing, alerting, and production troubleshooting * Own and improve reusable platform components used across client solutions * Convert prototypes into secure, scalable, production-ready applications Tasks * 3+ years of production software experience in agile teams * Strong Python proficiency including async programming, type hints, PyTest, packaging, and performance tuning * Frontend experience with React and modern JavaScript/TypeScript, API integration, and state management * Solid SQL skills with database design, data modeling, caching, and background processing * Experience deploying, monitoring, securing, and maintaining apps in AWS and containerized environments * Exposure to AI/ML solutions aaaa
aaaC_ LLM integrations, vector databases, APIs, and ML frameworks * Proficient with Git workflows, peer reviews, and CI/CD best practices * Self-starter with ownership of requirements to deployment * Strong written communication and collaboration across distributed teams * Comfort in a rapidly evolving environment with shifting priorities Key requirements *

## Description

Experteer Overview In this role, you will help build scalable, AI-enabled technology platforms for high-impact client engagements within the Strategic Solutions Team. You will work across backend, frontend, data, and cloud domains to deliver production-ready applications. You'll shape architecture, implement AI-powered capabilities, and ensure reliable releases in a fast-paced environment. This is a hands-on role that blends software engineering with data and cloud technologies to drive measurable client outcomes. Compensation / Benefits * Develop and maintain backend APIs and services using Python frameworks (FastAPI, Django, Flask) * Build modern web apps and dashboards with React and TypeScript for client-facing tools * Create AI-powered capabilities including LLM integrations, prompt engineering, and agent workflows * Design ETL processes and data integrations, event-driven architectures, and connections to external platforms * Work with relational and vector databases (PostgreSQL, Redis, pgvector) focusing on schema, indexing, and optimization * Deploy and manage cloud-native solutions on AWS with Docker, ECS/EKS, Lambda, S3, RDS * Implement CI/CD pipelines, automated testing, staged deployments, and rollback strategies * Monitor performance via logging, metrics, tracing, alerting, and production troubleshooting * Own and improve reusable platform components used across client solutions * Convert prototypes into secure, scalable, production-ready applications Tasks * 3+ years of production software experience in agile teams * Strong Python proficiency including async programming, type hints, PyTest, packaging, and performance tuning * Frontend experience with React and modern JavaScript/TypeScript, API integration, and state management * Solid SQL skills with database design, data modeling, caching, and background processing * Experience deploying, monitoring, securing, and maintaining apps in AWS and containerized environments * Exposure to AI/ML solutions including LLM integrations, vector databases, APIs, and ML frameworks * Proficient with Git workflows, peer reviews, and CI/CD best practices * Self-starter with ownership of requirements to deployment * Strong written communication and collaboration across distributed teams * Comfort in a rapidly evolving environment with shifting priorities Key requirements *


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