Sr Manager, Cloud Engineering & Operations

Posted 14 Days Ago
Be an Early Applicant
San Jose, CA
In-Office
175K-205K
Senior level
Artificial Intelligence • Cloud • Robotics • Software
The Role
Responsible for leading cloud engineering teams, managing infrastructure for AI workloads, driving automation, optimization, governance, and collaboration with cross-functional teams.
Summary Generated by Built In

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 with substantial experience in cloud infrastructure and a passion for generative AI technologies. This role will be responsible for the architecture, deployment, management, and continuous improvement of our cloud infrastructure. This role bridges cloud operations excellence with next-gen AI innovation, driving scalable, secure, and cost-efficient AI infrastructure. The ideal candidate will possess in-depth expertise in cloud platforms (AWS/GCP, Azure), strong leadership capabilities, and a passion for driving operational excellence, automation, security, and cost optimization.

Who you’ll report to: VP Cloud Engineering

Location:  San Jose, California – Bay Area /   hybrid, two days in the office

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, everywhere.  Join us and discover the many ways that you can have an impact, achieve your potential, and Go be Great!

Job Segment OR Key Words: SaaS, Cloud Engineer, Cloud Operations, DevOps, Intelligent Automation, AI Agents, Agentic AI, Agentic Process Automation, APA

#LI-JS1

Benefits and perks you’ll appreciate:

  • Flexible work schedule / remote roles
  • Unlimited Personal Time Off
  • 12 holidays off per year
  • 4 days volunteer time off per year
  • Eligible for 4 company Achievement days off per year
  • Variety of health care and well-being benefits
  • Paid family/parental leave
  • We are a designated “Best Place to Work” for 2 years in a row! Learn more here
  • Newsweek’s Top 100 Most Loved Workplaces in America 2023 – Learn more here

Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].

At this time, we typically do not offer visa sponsorship for this position. Candidates should generally be authorized to work in the United States without the need for current or future sponsorship.

All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

Top Skills

AWS
Azure
CloudFormation
GCP
Gitlab
Hugging Face Transformers
Jenkins
PyTorch
TensorFlow
Terraform
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The Company
HQ: San Jose, CA
6,564 Employees
Year Founded: 2003

What We Do

Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.

With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies.

Industry Awards and highlights:

· Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation

· Named a Leader in Forrester Wave

· Named a Leader and Star Performer in Everest Peak Matrix

· Named a Leader in Nelson Hall NEAT Intelligent Automation Report

· G2 Crowd 2020 Best Software Company

· First Cloud-native digital workforce platform

· 850+ pre-built, intelligent automation solutions

· Bot security and IP protection

· SaaS packages

· Over 1.4M courses completed in Automation Anywhere University

· Free AI-powered Community edition

Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday

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