More jobs:
Cloud Ops Lead
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-07
Listing for:
Apolis
Full Time
position Listed on 2026-01-07
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing
Job Description & How to Apply Below
Location:
New York, New York
JOB DESCRIPTION:
Architect AWS Solutions – Infrastructure Services
Experience:
12+ Years
Primary Skills: AWS Cloud Solutions and Operations, Architecting and Automation of Cloud Infrastructure, AI/ML Integration
Secondary Skills: Good experience in automation scripts such as Power Shell, AWS CLI, Python, JSON, and familiarity with AI/ML frameworks and tools.
Responsibilities:
- Architect, design, and implement scalable, secure, and cost-optimized cloud solutions leveraging the latest AWS offerings, including generative AI services (e.g., Amazon Bedrock, Sage Maker, Amazon Q, Code Whisperer).
- Deep, hands-on technical expertise in AWS, including new services such as Lambda Snap Start, Graviton-based compute, and advanced analytics (e.g., Amazon Quick Sight, Redshift Serverless).
- Support and administration of AWS IaaS and PaaS, including RDS, Athena, Dynamo
DB, EFS, Elasti Cache, Kinesis Firehose, S3, Route
53, SNS, Lambda, Data Pipeline, and new AI/ML services. - Implement and manage monitoring, analytics, and optimization tools (AWS Cloud Watch, AWS Cloud Trail, AWS Cost Explorer, and AI-driven observability tools).
- Operational understanding of securing cloud instances, including AI-powered security tools (e.g., Amazon Guard Duty, Macie, Inspector).
- Expertise in Linux administration, AWS VPC, subnet management, and troubleshooting.
- Develop and maintain cloud automation scripts/code (Perl, JSON, Power Shell, Terraform, AWS Cloud Formation, CDK), including integration with AI/ML pipelines.
- Identify and resolve cloud performance bottlenecks using architectural and AI-driven performance analytics.
- Analyze AWS Cloud Trail logs and aggregated log files for advanced troubleshooting, leveraging AI-based log analysis where appropriate.
- Identify and implement cost-saving strategies using AWS’s latest cost management and AI-powered optimization tools.
- Understanding of Cloud Platform Engineering, SRE, and AI/ML Ops best practices.
- Good knowledge of application build/release processes, CI/CD pipelines (Jenkins, Chef/Puppet, AWS Code Pipeline, Code Build, and integration with AI-powered Dev Ops tools).
- Familiarity with Agile processes and ability to collaborate with cross-functional teams (Development, Infrastructure, Security, Testing, QA, and Data Science/AI teams).
- Analyze customer business and technical requirements, assess environments for cloud and AI enablement, and advise on cloud and AI/ML solutions and risk management.
- Participate in customer cloud and AI/ML pre-sales responses and projects.
- Strong passion for technology exploration, AI/ML development, and continuous learning.
- Excellent written and verbal communication, presentation, and collaboration skills.
- Team leadership skills.
Assist with backups and recovery, including AI-driven backup optimization.
Deploy applications, performance tuning, troubleshooting, maintain security, and automate routine procedures through scripting and AI-based automation.
Integrate 3rd party tools, APIs, and AI/ML services in AWS environments.
Knowledge of Service Now and its integration with AWS and AI/ML workflows is recommended
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