Senior Cloud Engineering & Operations Manager, Automation Anywhere

$195-205k

This position is also eligible for a discretionary bonus and equity

AWS

GCP

Tensorflow

Terraform

Jenkins

Azure

PyTorch

Expert level

San Francisco Bay Area

More information about location

2 days a week in office (San Jose, CA)

Enterprise AI agents for business processes

Be an early applicant

Enterprise AI agents for business processes

1001+ employees

B2BArtificial IntelligenceInternal toolsSaaSAutomation

Be an early applicant

$195-205k

This position is also eligible for a discretionary bonus and equity

AWS

GCP

Tensorflow

Terraform

Jenkins

Azure

PyTorch

Expert level

San Francisco Bay Area

More information about location

2 days a week in office (San Jose, CA)

1001+ employees

B2BArtificial IntelligenceInternal toolsSaaSAutomation

Company 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.

Job

Company

Role

Who you are

We are seeking a dynamic Senior Manager of Cloud Engineering & Operations with substantial experience in cloud infrastructure and a passion for generative AI technologies
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
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

What the job involves

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
Who you’ll report to: VP Cloud Engineering
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

Our take

Although technology is supposed to save labor, often it doesn't feel like it, with the average desk worker stuck carrying out an increasing number of repetitive manual tasks just to make their growing software stack function. Enter Automation Anywhere, a provider of robotic process automation (RPA) software designed to handle tedious repetitive functions, freeing teams for more productive work.

RPA is a highly competitive field, with firms like Celonis attracting vast amounts of funding and Microsoft beginning to bundle RPA functionality with its business packages. What helps Automation Anywhere stand out is its use of AI to discover the processes that can be automated within a company, a task that is usually carried out by expensive consultancy firms. This has allowed Automation Anywhere to grow a huge client base, including the likes of the NHS, Dell and Staley Black & Decker.

Fueled by partnerships with Microsoft, AWS, and PwC India, Automation Anywhere is accelerating its leadership in AI-powered automation. These collaborations allow the company to deliver cutting-edge solutions and aid in its continued growth.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

13% employee growth in 12 months

Glassdoor (3.5)

Company

Company HQ

North San Jose, San Jose, CA

Leadership

Mihir Shukla

(Co-Founder & CEO)

Previously the Director of Engineering at E2Open and Infoseek, and a Consultant at Netscape.

Neeti Mehta Shukla

(Co-Founder & Social Impact Officer)

Previously a Marketing Research Consultant for Intuit. They are also a Limited Partner at Kalaari Capital and CXXO Champion for CXXO.

Rushabh Parmani

(Co-Founder & Chief Customer Officer)

Before co-founding Automation Anywhere they were a Software Engineer at Siebel Systems.

Ankur Kothari

(Co-Founder & COO)

Previously a member of the Core Group in Siebel Systems. Since co-founding Automation Anywhere, they have been a CRO, COO, CSO and Chief Customer & Strategy Officer before becoming COO in 2023.

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