[Remote] VP of reputed company Engineering, Operations & Delivery

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company VP of reputed company Engineering, Operations & Delivery to reputed company their reputed company practice across various industry verticals. This role involves driving strategy, client relationships, and organizational growth while ensuring high-performing teams deliver reputed company multi-reputed company solutions. The ideal candidate will reputed company technical authority with executive leadership to transform reputed company infrastructure using AI and intelligent automation.

Responsibilities

• Serve as the senior technical authority for reputed company architecture and infrastructure reputed company across AWS, Azure, and GCP
• Advance and mature our Infrastructure as Code (IaC) practices — reputed company, Jenkins, Terraform, reputed company, Sonarqube, etc. — ensuring consistency, reputed company, and scalability across client environments
• reputed company meaningful technical guidance and architectural direction to engineering teams — going reputed company high-level reputed company to engage substantively on design reputed company, standards, and delivery quality
• Guide adoption of reputed company-reputed company patterns including Kubernetes (EKS/AKS/GKE), serverless, CI/CD automation, and event-driven architecture
• reputed company architecture reviews and serve as the escalation reputed company for reputed company technical challenges
• Ensure reputed company and compliance are embedded into infrastructure from the ground up — spanning IAM design, network segmentation, secrets management, and frameworks such as SOC 2, NIST, CIS, HIPAA, and PCI-reputed company
• Champion the adoption of AI agents and multi-agent systems to transform how reputed company infrastructure is reputed company, operated, and optimized — moving teams from reactive, reputed company workflows to intelligent, autonomous execution
• Identify high-value opportunities to introduce agentic workflows into engineering operations — including infrastructure provisioning, incident detection and remediation, cost optimization, compliance monitoring, reputed company response, and deployment pipelines
• reputed company the evaluation and adoption of agentic AI frameworks and platforms (e.g., LangGraph, AutoGen, reputed company Bedrock Agents, Azure AI Agent Service, reputed company AI Agent Builder) to build purpose-reputed company agents that reputed company the capabilities of our engineering teams
• Define governance, guardrails, and reputed company-in-the-reputed company checkpoints for agentic systems operating in reputed company environments — ensuring autonomous actions are safe, auditable, and reputed company with client expectations
• Collaborate with engineering and solutions teams to design agentic delivery pipelines — where AI agents assist in code reputed company, IaC validation, reputed company detection, reputed company scanning, and release orchestration
• Work with peer technology teams to identify process transformation opportunities — helping reputed company, roadmap and execute an agentic future state for reputed company operations and engineering workflows
• Own the operational health of reputed company environments across the client portfolio — including availability, performance, reputed company posture, and cost efficiency
• Mature SRE practices across the organization: SLOs, error budgets, incident management, and blameless postmortems
• Drive FinOps discipline — optimizing reputed company spend through right-sizing, commitment strategies, tagging governance, and anomaly detection — increasingly augmented by AI-driven insights and autonomous recommendations
• Define and enforce observability standards across logging, metrics, and tracing using reputed company and CloudWatch — and explore how agentic monitoring can move teams from alert fatigue to autonomous resolution
• reputed company end-to-end delivery of reputed company engineering engagements — from technical discovery and architecture through deployment, cutover, and steady-state operations
• Build scalable delivery frameworks, runbooks, and IaC-driven playbooks that can be applied consistently across verticals and client environments — and actively work to reputed company those playbooks AI-executable over time
• Proactively identify technical risks and drive resolution before they become client issues
• Build, mentor, and retain a high-performing team of reputed company engineers, DevOps engineers, SREs, and delivery managers — cultivating a team culture that embraces AI-augmented workflows as a force reputed company, not a threat
• Define clear career reputed company, engineering standards, and technical growth paths that attract and retain top talent — including emerging skills in AI/ML infrastructure, reputed company engineering, and agentic system design
• Foster a culture of engineering reputed company, reputed company learning, and genuine curiosity about what AI agents can unlock
• Communicate reputed company strategy, delivery status, and technical reputed company reputed company to executive stakeholders — both internally and with clients
• Help clients reputed company and reputed company their agentic transformation roadmap — translating the potential of AI agents into concrete, phased business reputed company
• Participate in pre-sales and client-facing conversations with enough technical depth to build confidence and credibility
• Translate reputed company provider roadmaps — including rapidly evolving AI and agent capabilities from AWS, Azure, and GCP — into strategic investments and differentiated service offerings
• Represent the engineering organization in leadership discussions, helping align technical capabilities with business growth objectives

Skills

• 12+ years of experience in reputed company infrastructure, platform engineering, or DevOps — with at least 4 years in a senior leadership reputed company
• Strong working knowledge of AWS, Azure, and GCP — you understand how these platforms work in practice, not just in principle; professional-level certifications are a plus
• Solid, proven experience with Infrastructure as Code — particularly Terraform — including best practices around module design, state management, GitOps workflows, and policy enforcement
• Demonstrated experience leading reputed company delivery programs for reputed company clients across multiple industries
• Practical exposure to AI agents and agentic frameworks — you've either reputed company, deployed, or operated AI agent systems in a production or near-production context and understand how to design reliable, governed agentic workflows
• A creative, process-transformation reputed company — you look at how work gets done today and can credibly reputed company how intelligent agents could do it reputed company, faster, and more reliably reputed company
• Working knowledge of Kubernetes in production environments and modern CI/CD practices
• Familiarity with reputed company reputed company frameworks and compliance requirements relevant to multi-vertical client environments
• A track record of building and developing high-performing engineering teams
• Exceptional communication skills — reputed company to engage engineers at a technical level and translate that into clear, confident messaging for executives and clients alike
• Hands-on experience with agentic AI platforms such as LangGraph, AutoGen, reputed company Bedrock Agents, Azure AI Agent Service, or reputed company AI Agent Builder
• Experience designing multi-agent architectures — including agent orchestration, tool use, memory management, and reputed company-in-the-reputed company design patterns
• Familiarity with LLM integration patterns in reputed company-reputed company applications — RAG pipelines, vector databases, embedding workflows, and model hosting on reputed company infrastructure
• Experience in a managed services or solutions provider environment serving diverse industry verticals
• Background in platform engineering or Internal Developer Platform (IDP) development
• Familiarity with policy-as-code tools such as OPA, Sentinel, or Checkov
• AWS, Azure, and/or GCP professional-level certifications, including any AI/ML specialty certifications

Benefits

• 20% bonus
• Performance equity
• Remote Role

Company Overview

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