TELECOMMUTE Lead Cloud Engineer

Propertyvalue Quantum Technologies Llc

Chicago, IL, United States

7 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$176,800.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Storage Code Review Information Systems Extract Transform Load (ETL) Data Retention Python (Programming Language) Cloudbees S3 Bucket

+5 more

Virtual Agents Cloudwatch Terraform Data Pipelines Programming Languages

Job description

Assists in designing and implementing cloud-based information systems on AWS infrastructure by defining system scope, conducting research and feasibility studies, creating technical documentation and flow charts, and building AI solutions using MCP Services and developing Agentic AI solutions under guidance from senior engineers
Implements and maintains cloud infrastructure as code using Terraform and configures CI/CD pipelines with CloudBees, while monitoring resource utilization, performance metrics, and supporting security and compliance initiatives following established procedures
Develops and maintains data engineering solutions including data pipelines, ETL/ELT processes, and analytics components using Python or Java for automation scripts, while designing and managing cloud storage architectures including S3 bucket configurations, storage lifecycle policies, and data retention strategies to ensure systems meet analytical and reporting requirements
Creates and maintains comprehensive technical documentation including system specifications, user guides, operational procedures, and troubleshooting steps to support knowledge sharing and ongoing system operations Investigates and troubleshoots routine system issues, participates in code reviews, analyzes system performance for improvement opportunities, and escalates complex problems appropriately to senior team members
Provides user support by developing training materials, delivering training sessions, creating knowledge base articles, and gathering feedback to enhance user adoption and system effectiveness during implementation and post-deployment phases
Monitors application operations using AWS CloudWatch and monitoring tools, participates in incident response and on-call rotation, and actively develops professional skills in AWS cloud technologies, Terraform, CloudBees, storage services, and programming languages to support continuous improvement initiatives