Staff Platform Engineer

Talentify; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Talentify is seeking a Staff Platform Engineer to join our team in Plano/Frisco, TX (Draper, UT | Columbus, OH | Chadds Ford, PA | Wilmington, DE | NYC/Manhattan options also considered). This contract-to-hire role focuses on backend-centric platform engineering with frontend exposure and AI-enabled development.

The right candidate will design scalable systems, build APIs/SDKs, automate releases, and drive SDLC improvements while leading architecture and technical decisions.

Qualifications

• Strong software engineering fundamentals.
• Solid backend development experience.
• Experience with multiple languages listed (Java, Python, Go, JS/TS).
• Experience building APIs, SDKs, reusable components or shared services.

Responsibilities

• Develop and maintain scalable backend and full-stack applications.
• Work across backend and frontend technologies with emphasis on backend engineering.
• Design and develop APIs, SDKs, reusable frameworks, shared services, and web components.
• Contribute to platform engineering and software architecture.
• Automate software releases and improve the SDLC.
• Drive improvements in engineering productivity and operational efficiency.
• Apply AI tools and AI-enabled engineering practices to development and automation.
• Collaborate on architecture, technical design, and engineering best practices.
• Work with Cloud technologies, preferably AWS; Azure or GCP acceptable.
• Implement and improve DevOps and CI/CD processes.

Skills

Backend development

Frontend development

Java

Python

Go

JavaScript

TypeScript

APIs

SDKs

CI/CD

DevOps

Tools

AWS

Azure

GCP

Docker

CI/CD tooling

Job description

Title: Staff Platform Engineer
Platform Engineer
Employment: Contract-to-Hire (C2H)
Location: Plano/Frisco, TX preferred (Draper, UT | Columbus, OH | Chadds Ford, PA | Wilmington, DE | NYC/Manhattan.) candidates near other client locations may also be considered
Role Overview
We are looking for strong Software/Platform Engineers at multiple levels who have a solid software engineering background with a primary focus on backend development (approximately 70%), along with frontend development and experience working with AI-enabled engineering solutions.
This is not a Cloud Infrastructure or Terraform-focused role. The ideal candidate will be a hands-on engineer who can design and build scalable applications, improve engineering and operational efficiency, automate software releases, and contribute to platform architecture.

Key Responsibilities

• Develop and maintain scalable backend and full-stack applications.
• Work across backend and frontend technologies, with a strong emphasis on backend engineering.
• Design and develop APIs, SDKs, reusable frameworks, shared services, and web components.
• Contribute to platform engineering and software architecture at the appropriate level.
• Automate software releases and improve the overall SDLC.
• Drive improvements in engineering productivity and operational efficiency.
• Apply AI tools and AI-enabled engineering practices to development and automation.
• Work with AIDLC (AI Development Life Cycle) and modern AI engineering approaches.
• Collaborate on architecture, technical design, development, and engineering best practices.
• Work with Cloud technologies, preferably AWS, although Azure or GCP experience is also acceptable.
• Implement and improve DevOps and CI/CD processes.

Required / Preferred Skills
Software Engineering

• Strong programming and software engineering fundamentals.
• Strong backend development experience.
• Full-stack development experience with frontend exposure.
• Experience with one or more languages such as Java, Python, Go/Golang, JavaScript, or TypeScript.
• Experience building APIs, SDKs, reusable components, or shared services.

Platform & Architecture

• Platform Engineering experience.
• Software architecture and technical design experience.
• Experience developing scalable and reusable engineering solutions.
• Staff-level candidates should have strong architecture and technical leadership experience.

AI

• Experience using AI tools in software development or engineering.
• Experience with AI-enabled development, automation, GenAI, LLMs, AI agents, agentic workflows, RAG, MCP, or similar technologies is a plus.
• Any relevant hands-on AI tool experience can be considered.

Cloud / DevOps

• Cloud experience with AWS preferred; Azure or GCP is also acceptable.
• DevOps and CI/CD experience.
• Experience automating releases and improving development/release processes.

Certification

A Cloud Certification is required for conversion to FTE.
Preferred certifications include:

• AWS Cloud Practitioner
• Microsoft Azure Fundamentals (AZ-900)
• Google Cloud Digital Leader