Platform engineer • plano tx
Job Title: Staff Platform Engineer.Job Location: Plano Texas 75024 .Job Duration: 6 months with possible ext.ONE OF THESE CERTIFICATIONS IS REQUIRED FOR ANY CANDIDATE SUBMITTED (PLEASE OBTAIN A COP... Show more
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As an Software Engineer III in the Collaboration and Communication Product Line, you will design and implement cloud contact center infrastructure and application components using Amazon Web Servic... Show more
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MLOps Platform Engineer (SageMaker) Duration: 12 Months Location: Plano, TX Pay Rate: $90/hr - $102/hr on W2 What you’ll be doing Set up SageMaker Unified Studio platform — domain configuration, pr... Show more
Provide engineering support in quality, design control, risk management, and statistical techniques.Support design assurance activities, including feasibility testing, design verification, validati... Show more
Domicile Information </strong></p><p>This is a hybrid position in Plano, TX (first preference), Memphis, TN, or Pittsburgh, PA.Candidates residing within 50 miles of a FedEx campu... Show more
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The average salary range is between $ 112,845 and $ 185,188 year , with the average salary hovering around $ 139,741 year .
Job Title: Staff Platform Engineer
Job Location: Plano Texas 75024
Job Duration: 6 months with possible ext
Priority
ONE OF THESE CERTIFICATIONS IS REQUIRED FOR ANY CANDIDATE SUBMITTED (PLEASE OBTAIN A COPY TO PROVIDE):
Minimum Qualifications
Preferred Qualifications
Skills
Role Summary
The Staff Platform Engineer drives the strategy, architecture, and evolution of enterprise platform engineering capabilities that enable scalable, secure, and efficient software delivery. This role leads the design of platform products, intelligent automation solutions, self-service capabilities, shared services, and cloud-native engineering ecosystems that improve developer productivity and operational excellence at scale. Working across engineering, architecture, security, product, and technology leadership teams, the Staff Platform Engineer establishes platform standards, accelerates adoption of modern engineering practices, and advances organizational maturity across the AI-Driven Development Lifecycle (AIDLC).
This role specializes in SDLC automation and intelligent engineering, defining the strategic direction for reusable platform products, shared services, frameworks, and self-service capabilities. Engineers drive enterprise adoption of platform engineering, automation-first practices, AI-powered solutions, and agentic workflows to improve software delivery efficiency, operational resilience, developer productivity, and organizational scalability across the AIDLC.
Essential Job Functions
Platform Engineering & Platform Capabilities
Define the strategic direction and roadmap for platform engineering capabilities. Lead architecture and design of enterprise platforms, products, and shared services. Establish platform standards, reference architectures, and reusable patterns. Drive platform modernization and cloud-native adoption. Oversee reusable APIs, SDKs, frameworks, and self-service capabilities. Align platform investments with business goals to improve scalability and developer productivity.
Intelligent Automation, AI Enabled Engineering
Define enterprise automation strategies that accelerate the AI-Driven Development Lifecycle. Lead development of intelligent automation platforms, AI-powered capabilities, and autonomous workflows. Establish standards and governance for automation-first engineering practices. Drive adoption of AI agents and agentic workflows across engineering organizations. Improve productivity through automation, orchestration, and AI technologies. Partner with engineering and architecture leaders to scale automation enterprise-wide.
AI Engineering & Agent Platforms
Define the vision for AI-enabled engineering platforms and agent ecosystems. Lead adoption of LLMs, agent orchestration frameworks, MCP, RAG, and emerging AI technologies. Establish standards and patterns for scalable AI-powered solutions. Evaluate emerging technologies and provide strategic recommendations. Guide intelligent developer experiences and autonomous engineering capabilities. Promote readiness for AI-native engineering practices.
Developer Experience & Self-Service Engineering
Define and drive the vision for developer experience across engineering platforms. Lead design of self-service ecosystems that improve speed, consistency, and autonomy. Establish standards for onboarding, development, testing, deployment, and support. Sponsor reusable accelerators, templates, and platform capabilities. Drive platform adoption through enablement, advocacy, and feedback. Champion a developer-first culture across engineering organizations.
Platform Operations, Reliability & Delivery Enablement
Define strategies for platform reliability, resilience, scalability, and performance. Lead delivery enablement, CI/CD platforms, observability, and operational intelligence capabilities. Establish standards for IaC, deployment automation, and cloud operations. Drive monitoring, anomaly detection, automated remediation, and intelligent workflows. Use metrics and platform intelligence to improve delivery and operations. Guide teams in reliability engineering and operational maturity.
Security, Governance & Engineering Controls
Define platform-wide governance, security, compliance, and risk management strategies. Establish enterprise guardrails, policy frameworks, and secure-by-design principles. Drive automated compliance, governance, and security capabilities across platform ecosystems. Partner with security, risk, architecture, and compliance stakeholders. Enable engineering agility through scalable governance frameworks and policy automation. Improve security posture through platform-driven controls and automation.
