Platform Software Engineer

Role: Platform Software Engineer

Location: Frisco, TX Hybrid (1 or 2 day onsite in week)

Contract/ Fulltime

Core Capabilities: AIDLC (AI Software Development Lifecycle) and Agentic AI development, including building reusable platform tools, full-stack solutions, and AI agents

Technical Stack: Strong coding and problem-solving skills, backend/frontend development, API integration, CI/CD pipeline orchestration, and hands-on experience with AI models/gateways (e.g., GitHub Copilot, GPT, Claude, Bedrock)

Key Responsibilities:

Software Engineering

• Build and maintain backend and frontend applications

Preferred profile:

• 70% Backend
• 30% Frontend
• Full-stack engineers are highly welcome
• Any modern programming language is acceptable (Java, Python, Golang.. etc.)

Platform Engineering:

Develop internal platforms and tools for engineering teams, including:

• Self-service platforms
• Reusable APIs
• SDKs
• Shared services
• Engineering frameworks
• Developer productivity tools
• Operational efficiency improvements
• Guardrails and engineering standards

Automation:

• Automate SDLC processes
• Release automation
• Engineering workflow automation
• Improve developer experience across the enterprise

AI Engineering:

Experience with:

• AI-assisted development
• AI agents (Agentic AI)
• AI-driven engineering solutions
• RAG (Retrieval-Augmented Generation) systems
• MCP integrations
• AI development frameworks and tools

Required Skills:

Must Have

• Strong software engineering fundamentals
• Strong coding ability
• Backend engineering expertise
• System design and architecture understanding
• Experience building reusable components and platforms
• Ability to work across multiple technology stacks

Preferred:

• Full-stack development experience
• Angular or React experience (preferred but not mandatory)
• AI/LLM application development
• Agentic AI experience
• RAG architectures
• Cloud knowledge and concepts

Cloud Requirements:

• AWS preferred
• Azure or GCP acceptable
• Cloud knowledge is beneficial due to ongoing cloud modernization efforts
• Not looking for cloud-only engineers
• Not looking for Terraform/infrastructure-focused candidates

What They Are Looking For:

Ideal Candidate

A strong engineer who:

• Can quickly learn new technologies
• Has an engineering mindset rather than being tied to one language/tool
• Can collaborate with architecture, DevOps, and product teams
• Is comfortable building platform products for internal engineering customers
• Can leverage AI technologies to improve engineering productivity

A cloud certification is required:

AWS certification preferred

Other cloud certifications may be acceptable

Certification can be:

• Already completed, or
• In progress at hiring time

Must be completed before conversion to full-time employment