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# Software Engineer

- **Company:** Kforce Inc.
- **Location:** Pittsburgh, PA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Application Performance Management, Automation of Tests, Big Data, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Django Web Framework, Python (Programming Language), PostgreSQL, Machine Learning, Enterprise Messaging Systems, Package Management Systems, Performance Tuning, Query Optimization, Queueing Systems, Redis, Tensorflow, Software Engineering, SQL Databases, Systems Integration, TypeScript, Web Applications, Web Application Frameworks, Data Logging, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Caching, Indexer, Backend, Fastapi, Event Driven Architecture, Amazon Relational Database Service, Pytest, Containerization, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Virtual Agents, Asynchronous Programming, Terraform, Webhooks, Serverless Computing, Docker
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/72eaf758-04b2-4ab4-a6f5-460734db9998

## About the Role

* 3+ years of experience designing, developing, and supporting production software, preferably within agile, fast-paced teams
 * Strong proficiency in Python, including asynchronous programming, type hinting, testing frameworks (PyTest), package management, and application performance tuning
 * Experience building frontend applications with React and modern JavaScript/TypeScript, including API integration and state management
 * Solid understanding of SQL, database design, data modeling, caching strategies, and background processing
 * Hands-on experience deploying, monitoring, securing, and maintaining applications in AWS and containerized environments
 * Exposure to AI/ML solutions, including LLM integrations, automation tools, vector databases, APIs, and machine learning frameworks
 * Proficient with Git-based workflows, peer code reviews, and CI/CD best practices
 * Self-starter mentality with the ability to take ownership of projects from requirements through deployment with minimal oversight
 * Strong written communication skills and the ability to collaborate effectively across distributed teams and time zones
 * Comfortable working in a rapidly evolving environment where priorities can shift and autonomy is expected

Preferred Experience:

 * Multi-tenant applications and scalable product architecture
 * Infrastructure-as-Code and cloud-native technologies such as Terraform, Kubernetes, or serverless platforms
 * Data engineering experience, including data warehouses, dbt, streaming pipelines, or large-scale data processing
 * LLM observability, model evaluation, and AI agent frameworks
 * Customer experience, contact center, sales, or related business technology platforms

## Description

Kforce's client in Pittsburgh, PA is looking for a Software Engineer to join its Strategic Solutions Team, responsible for developing and supporting technology platforms for high-impact client engagements. This position combines software engineering, cloud technologies, AI, automation, and data solutions to deliver scalable applications that solve complex business problems., * Develop and maintain backend applications and APIs using Python frameworks such as FastAPI, Django, and Flask

 * Build modern web applications, dashboards, and client-facing tools with React and TypeScript
 * Create and enhance AI-powered capabilities, including LLM integrations, prompt engineering, agent workflows, embeddings, RAG solutions, model evaluation, and performance optimization
 * Design and support ETL processes, data integrations, webhooks, event-driven architectures, message queues, and connections to external platforms such as CRM, ERP, telephony, and messaging systems
 * Work with relational and vector databases, including PostgreSQL, Redis, pgvector, and similar technologies, focusing on schema design, indexing, and query optimization
 * Deploy and manage cloud-native solutions within AWS using Docker, ECS/EKS, Lambda, S3, RDS, and infrastructure-as-code tools such as Terraform or CDK
 * Implement CI/CD pipelines, automated testing, staged deployments, and rollback strategies to ensure reliable releases
 * Monitor application performance through logging, metrics, tracing, alerting, and production troubleshooting
 * Own and improve reusable platform components utilized across multiple client solutions
 * Convert prototypes and proof-of-concepts into secure, scalable, production-ready applications


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