Sr Manager, Cloud Engineering & Operations

About Us:

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Our Opportunity:

We are seeking a dynamic Senior Manager of Cloud Engineering & Operations to join Automation Anywhere, a global leader in Agentic Process Automation (APA). In this role, you’ll lead the architecture, deployment, and continuous optimization of our cloud infrastructure that powers cutting-edge generative AI and APA solutions. You’ll drive scalability, security, and efficiency across our platforms, combining cloud operations excellence with next-generation AI innovation. The ideal candidate brings deep expertise in AWS, GCP, or Azure, strong leadership and automation skills, and a passion for building secure, cost-optimized, and high-performing cloud environments that enable the future of intelligent automation.

Who you’ll report to:

This role reports to our VP Cloud Engineering

Location: 

Hybrid role with regular onsite workdays in our San Jose, CA office required.

You'll make an impact by being responsible for:

• Lead and grow a high-performing cloud engineering team focused on building and maintaining scalable cloud infrastructure for AI workloads, including generative AI models.
• Mentor the Cloud Operations team, fostering a culture of collaboration, accountability, and continuous improvement.
• Oversee the design, implementation, and maintenance of scalable, secure, and highly available cloud infrastructure.
• Develop and enforce cloud governance, operational best practices, and compliance policies.
• Drive automation across deployment pipelines, monitoring, and infrastructure management (IaC, CI/CD).
• Manage cloud cost optimization strategies to ensure efficient usage of cloud resources.
• Collaborate with DevOps, Security, Development, and Product teams to align cloud operations with business objectives.
• Implement robust monitoring, alerting, and incident management processes to ensure high service uptime and reliability.
• Ensure robust security, compliance, and monitoring frameworks for AI infrastructure.
• Stay up to date with generative AI advancements and translate new capabilities into infrastructure improvements.
• Lead capacity planning, disaster recovery planning, and performance tuning initiatives.
• Stay current on emerging cloud technologies, trends, and best practices to continuously improve architecture and operations.
• Define and report KPIs and metrics for system performance, uptime, security, and operational efficiency.

You will be a great fit if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in IT infrastructure or cloud operations, with 3–5 years in a leadership role.
• Proven experience managing AWS/ GCP, Azure environments in a large-scale production setting.
• Strong understanding of DevOps practices, Infrastructure-as-Code (IaC) tools (Terraform, CloudFormation, etc.), and CI/CD tools (Jenkins, GitLab, etc.).
• Deep knowledge of cloud security, compliance, cost management, and performance optimization.
• Experience managing GPU/TPU clusters or similar accelerators for AI workloads.
• Knowledge of frameworks and tools like TensorFlow, PyTorch, Hugging Face Transformers, or equivalent.
• Hands-on experience leading high-performing engineering teams in 24x7 production environments, with a strong focus on incident management, root cause analysis (RCA), and continuous service reliability improvement.
• Excellent communication and stakeholder management skills.

The base salary range for this position is $195,000 – $205,000. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.

Ready to Revolutionize Work? Join Us.

This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, e