Sr Manager, Cloud Engineering & Operations
Sr Manager, Cloud Engineering & Operations
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$ 195000 - 205000
1 Vacancy
Job Description
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 industrys first Process Reasoning Engine (PRE) and specialized AI agents combines process discovery RPA end-to-end orchestration document processing and analyticsall 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 youll report to: VP Cloud Engineering
Location: San Jose California Bay Area / hybrid two days in the office
Youll 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:
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 10 years of experience in IT infrastructure or cloud operations with 35 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 in California New York and Washington is $195000 $205000 and outside of those locations is $175000 $185000 a year. 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 thats 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
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Benefits and perks youll 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 morehere
- Newsweeks Top 100 Most Loved Workplaces in America 2023 Learn morehere
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 .
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 @ email address whether submitted by an individual or by an agency will not be eligible for an agency fee.
Required Experience:
Manager
Employment Type
Full-Time
