Staff Devops Engineer

Hillview Consulting Solutions; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Hillview Consulting Solutions is seeking a Staff DevOps Engineer to lead the architecture and evolution of our cloud infrastructure, DevOps, and platform engineering capabilities. You will operate at Staff/Architect level and drive large-scale cloud and CI/CD initiatives.

You will explore AI-driven infrastructure automation, establish IaC and platform standards, mentor engineers, and partner with leadership to translate business goals into scalable infrastructure roadmaps.

Qualifications

• 12+ years of experience in infrastructure, DevOps, platform, cloud, SRE, or software engineering.
• Experience architecting and delivering large-scale cloud infrastructure and CI/CD platforms.
• Strong knowledge of Infrastructure as Code, CI/CD, security, observability, and platform engineering.

Responsibilities

• Own the technical architecture for cross-team infrastructure and platform initiatives spanning cloud, CI/CD, security, and observability.
• Design, build, and maintain scalable, resilient cloud-native infrastructure supporting enterprise applications and AI platforms.
• Architect and integrate AI/LLM and agentic AI workflows into DevOps and platform operations, including automated incident triage and self-healing infrastructure.
• Establish and drive best practices for IaC, CI/CD, security, observability, and platform engineering.
• Lead technical design reviews and provide architectural guidance to engineering and platform teams.
• Partner with engineering, product, security, and leadership to translate business requirements into scalable infrastructure roadmaps.
• Identify and resolve complex performance, reliability, scalability, and availability issues across cloud infrastructure and deployment pipelines.
• Lead incident response, disaster recovery, root-cause analysis, and blameless postmortems.
• Mentor senior and mid-level engineers and help raise the organization's technical standards.
• Evaluate emerging technologies and identify opportunities to improve automation and system resilience.

Skills

Staff/Architect level

Infrastructure as Code

CI/CD engineering

Mentoring

Technical leadership

Cross-functional collaboration

Incident response

Tools

Terraform

Bicep

GitHub Actions

Azure DevOps

Jenkins

Kubernetes

Azure

AWS

GCP

Job description

Our Client is looking for a Staff DevOps Engineer to lead the architecture and evolution of our cloud infrastructure, DevOps, and platform engineering capabilities.

This is a highly technical, cross-functional role for an experienced infrastructure engineer who can operate at Staff/Architect level, drive large-scale cloud and CI/CD initiatives, and establish engineering standards across multiple teams.

A key focus of this role will be exploring and implementing AI-driven infrastructure automation and agentic AI capabilities to improve reliability, operational efficiency, and developer productivity.

What You'll Do

• Own the technical architecture for complex, cross-team infrastructure and platform initiatives spanning cloud, CI/CD, security, and observability.
• Design, build, and maintain scalable, resilient cloud-native infrastructure supporting enterprise applications, AI platforms, and core business systems.
• Architect and integrate AI/LLM and agentic AI workflows into DevOps and platform operations, including automated incident triage, AI-assisted change management, self-healing infrastructure, and operational copilots.
• Establish and drive best practices for Infrastructure as Code, CI/CD, security, observability, and platform engineering.
• Lead technical design reviews and provide architectural guidance to engineering and platform teams.
• Partner with engineering, product, security, and technology leadership to translate business requirements into scalable infrastructure strategies and roadmaps.
• Identify and resolve complex performance, reliability, scalability, and availability issues across cloud infrastructure and deployment pipelines.
• Lead incident response, disaster recovery, root-cause analysis, and blameless postmortems.
• Mentor senior and mid-level engineers and help raise the organization's technical standards.
• Evaluate emerging technologies and identify opportunities to improve infrastructure automation, developer experience, and system resilience.

What We're Looking For

• 12+ years of experience in infrastructure, DevOps, platform, cloud, SRE, or software engineering.
• Proven experience architecting and delivering large-scale cloud infrastructure and CI/CD platforms.
• Expert-level experience with Infrastructure as Code, particularly Terraform, Bicep, or similar technologies.
• Strong experience with CI/CD platforms such as GitHub Actions, Azure DevOps, Jenkins, or equivalent.
• Deep knowledge of Kubernetes, containers, distributed systems, and cloud-native architecture.
• Strong hands-on experience with Azure, AWS, or GCP.
• Strong understanding of observability, including metrics, logging, tracing, monitoring, and production reliability.
• Experience with incident response, disaster recovery, performance engineering, and systemic problem solving.
• Strong understanding of enterprise security practices, including identity/IAM, Zero Trust, secrets management, audit controls, and change management.
• Experience working in regulated or enterprise environments, including SOX or similar compliance frameworks, is highly valuable.
• Demonstrated ability to lead technical initiatives across multiple teams and influence engineering direction without direct authority.
• Strong mentoring, communication, and technical leadership skills.

Preferred Experience

• Experience with agentic AI, LLM-powered infrastructure automation, or AI-driven DevOps.
• Experience designing multi-agent systems, tool-calling architectures, or RAG pipelines.
• Hands-on experience with LangChain, AutoGen, Semantic Kernel, MCP, or similar AI orchestration technologies.
• Experience integrating AI agents or LLM-powered tooling into DevOps, SRE, or infrastructure workflows.
• Experience with event-driven architectures and real-time platforms such as Kafka, Azure Event Hubs, or Kinesis.
• Familiarity with Databricks or modern data platforms.
• Experience in commercial real estate, fintech, financial services, or transaction/operations platforms.
• Technical thought leadership through conference presentations, technical writing, or open-source contributions.

Why This Role

This is an opportunity to have a significant impact on how a large enterprise builds and operates its cloud, platform, and AI infrastructure.

You'll have the opportunity to shape modern DevOps practices while helping define how AI and autonomous automation can transform infrastructure operations across the organization.