Senior Platform Engineer: AI & Automation

Talentify

Plano (TX)

Hybrid

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Talentify is seeking Senior Associate Platform Engineer to lead the design and evolution of scalable engineering platforms, with strong backend/frontend capabilities and AI-enabled practices. The role focuses on automation, reusable components, and developer experience to accelerate software delivery in a hybrid, multi-location environment.

You will guide platform modernization using cloud-native architectures, IaC, and AI agents while collaborating across engineering, product, and platform

Qualifications

  • Bachelor’s degree in information technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics or related field of study or equivalent, relevant work experience
  • 3-5+ years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related disciplines.
  • Strong hands-on experience with modern programming languages, cloud-native technologies, automation frameworks, and engineering platforms.
  • Proven experience designing and delivering scalable platform solutions, shared services, automation frameworks, reusable components, developer tools, and self-service capabilities.
  • Demonstrated experience leading technical initiatives and driving adoption of engineering best practices across teams.

Responsibilities

  • Lead the design and evolution of scalable engineering platforms, products, and shared services.
  • Architect reusable APIs, SDKs, frameworks, and self-service capabilities.
  • Establish platform standards and drive modernization and cloud-native adoption.
  • Implement governance guardrails for secure, compliant software delivery.
  • Partner with teams to deliver enterprise solutions and improve developer experience.
  • Lead development of intelligent automation solutions across the AI-Driven Development Lifecycle.
  • Architect scalable automation frameworks, AI services, and platform capabilities.
  • Drive adoption of automation-first and AI-assisted engineering practices.
  • Define standards for AI agents and intelligent workflows.
  • Collaborate with teams to embed automation across engineering ecosystems.
  • Lead development of AI-powered engineering capabilities, autonomous workflows, and developer experiences.
  • Architect and implement AI agents, orchestration frameworks, and agent-based solutions.
  • Integrate LLMs, prompt engineering, context engineering, MCP, and RAG capabilities.
  • Define standards and best practices for AI-enabled engineering.
  • Evaluate emerging AI technologies and establish scalable adoption patterns.
  • Lead initiatives that improve developer experience through self-service platforms and enablement capabilities.
  • Define standards for developer workflows and reusable templates.
  • Drive platform adoption through technical leadership and enablement.
  • Enhance engineering workflows using feedback and operational insights.
  • Advocate developer-centric platform design and engineering excellence.
  • Lead integration of platform capabilities into engineering workflows, CI/CD pipelines, and operations.
  • Design highly available, resilient, scalable, and observable platform solutions.
  • Define deployment standards, governance controls, and reliability practices.
  • Implement observability, operational intelligence, anomaly detection, and automated remediation.
  • Drive adoption of IaC and cloud-native architectures.
  • Use operational metrics to improve platform performance.
  • Design and implement platform-wide security controls and governance capabilities.
  • Establish secure-by-design practices and automated compliance controls.

Skills

Platform Architecture
Platform Products
DevEx & Self-Service
APIs/SDKs/Frameworks
Intelligent Automation
AI-enabled Engineering
Cloud-Native
IaC
DevOps & CI/CD
SRE & Reliability
Observability & Monitoring
Security & Governance

Education

Bachelor’s degree in a related field

Tools

AWS
Azure
Google Cloud

Job description

Talentify is seeking Senior Associate Platform Engineer to lead the design and evolution of scalable engineering platforms, with strong backend/frontend capabilities and AI-enabled practices. The role focuses on automation, reusable components, and developer experience to accelerate software delivery in a hybrid, multi-location environment.

You will guide platform modernization using cloud-native architectures, IaC, and AI agents while collaborating across engineering, product, and platform

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