Duration: 6-Month Contract (Temp to Hire)
Location: Candidates must reside within a 60-mile radius of any Client office location listed below: Draper, UT | Columbus, OH | Plano, TX | Chadds Ford, PA | Wilmington, DE | NYC/Manhattan. (Hybrid Role: 1-2 Times A Week In Office)
Certification Requirement
Candidate must have at least one of the following certifications:
Must-Have Qualifications
- Bachelor's degree in IT, Computer Science, CIS, Software Engineering, Mathematics, Statistics, or related field, or equivalent experience.
- 3-10 years of experience in Platform Engineering, Software Engineering, Cloud Engineering, DevOps, Automation Engineering, or related technical disciplines.
- Experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms.
- Experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.
- Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.
Key Skills
- Enterprise Platform Engineering Strategy & Architecture
- Platform Products, Shared Services & Engineering Ecosystems
- Platform Governance, Standards & Reference Architectures
- Developer Experience (DevEx) & Self-Service Platforms
- AI-Powered Engineering & Agentic Systems
- AI Agents, Agent Orchestration & Autonomous Workflows
- Cloud-Native Architecture & Platform Modernization
- DevOps, CI/CD & Engineering Productivity Platforms
- SRE & Operational Excellence
- Monitoring, Observability & Platform Intelligence
- Security, Governance & Compliance
- Technical Strategy, Cross-Functional Leadership & Influence
Preferred Qualifications
- Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.
- Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.
- Certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, or data engineering.