Senior Platform Engineer

Talentify

Plano (TX)

On-site

USD 110,000 - 160,000

Full time

14 days+
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Job summary

Talentify is seeking a Platform Engineer in Plano/Frisco, TX for a contract-to-hire role. The ideal candidate will focus on backend development while contributing to frontend work and AI-enabled engineering solutions.

Responsibilities include building scalable APIs and SDKs, advancing platform engineering and architecture, and automating releases with strong DevOps practices. Cloud experience with AWS is preferred, with Azure/GCP also acceptable.

Qualifications

  • Strong backend development experience with API design.
  • Full-stack capabilities with frontend exposure.
  • Experience applying AI in software development and automation.
  • Proficiency in cloud and DevOps practices, including CI/CD.

Responsibilities

  • Develop and maintain scalable backend and full-stack applications.
  • Design APIs, SDKs, and reusable components for platform use.
  • Drive platform engineering and overall software architecture.
  • Automate releases and improve SDLC efficiency.
  • Apply AI tools and AI-enabled engineering practices.

Skills

Backend development
Frontend exposure
APIs and SDKs
Platform engineering
AI-enabled development
DevOps / CI-CD
Cloud (AWS)
Software architecture

Job description

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
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