Infrastructure Engineer
Remote
Long Term
Contract
Must have financial domain Exp
AI Infrastructure Engineer works directly with infrastructure teams to identify automation opportunities, modernize platforms, and deploy AI assisted engineering solutions. This role embeds within technical teams to build AI workflows, agents, and automation that improve productivity, accelerate cloud migration, and enhance security operations.
Responsibilities
• Embed within infrastructure teams to understand workflows, pain points, and automation opportunities.
• Independently identify areas where AI, automation, or modernization can reduce manual effort.
• Build AI assisted engineering solutions using tools such as GitHub Copilot and Cursor AI.
• Develop infrastructure automation and AI driven workflows to streamline operations.
• Build and deploy AI agents that support engineering tasks and platform operations.
• Modernize infrastructure platforms and improve cloud migration efficiency.
• Create automation for vulnerability remediation and security processes.
• Mentor engineering teams on AI assisted development and best practices.
• Promote AI adoption across the organization through hands on support and enablement.
• Deliver measurable productivity improvements through automation and AI integration.
• Rapidly develop proof of concepts to validate new ideas and demonstrate value.
Required Skills
• Strong Python development skills.
• Infrastructure engineering experience.
• Cloud platforms (AWS preferred).
• Infrastructure as Code (IaC).
• GitHub Copilot proficiency.
• Cursor AI proficiency.
• Prompt engineering expertise.
• LLM based software development.
• AI assisted coding.
• DevOps practices and automation.
• API development and integration.
• Scripting and workflow automation.
• Strong problem solving ability.
• Self starter mindset with ability to work independently.
• Excellent communication skills.
Preferred Skills
• Agentic AI workflows.
• AI orchestration.
• Infrastructure modernization.
• Security automation.
• Vulnerability management.
• FinOps.
• Observability.
• Platform engineering.
• Cloud migration experience.
Success Measures
• Reduction of manual engineering effort by 50–70%.
• Increased AI adoption across infrastructure teams.
• Delivery of meaningful infrastructure automation.
• Faster project execution and improved delivery velocity.
• Measurable improvements in engineering productivity.
• Positive influence on engineering culture and AI readiness.
Munesh
770-838-3829,
CYBER SPHERE LLC
