AWS Cloud Administrator

Bright Vision Technologies; Pine Township, Wexford (Allegheny County, Allegheny County); Remote; USD 140,000 - 190,000; Full time

Job summary

Bright Vision Technologies is seeking a Senior AWS Cloud Administrator to join our remote-enabled team. The role focuses on design, administration, monitoring, and optimization of MWAA environments for enterprise data workflows across AWS.

You will collaborate with Cloud, Data Engineering, DevOps, Security, and Applications teams to ensure reliable, scalable, and cost-efficient workflow operations within AWS.

Qualifications

• 12+ years of experience in AWS cloud administration and related data engineering or DevOps roles.
• Strong knowledge of MWAA, Airflow, and AWS services within enterprise environments.
• Experience designing scalable, secure cloud architectures and cost management.

Responsibilities

• Deploy, configure, and manage MWAA environments and Airflow components.
• Support onboarding and deployment of Airflow DAGs across environments (Dev/Test/UAT/Prod).
• Engineer secure, scalable AWS cloud integration with S3, Glue, Lambda, RDS/PostgreSQL, Redshift, EMR, Step Functions, ECS/EKS.
• Monitor MWAA with CloudWatch, set up dashboards and alerting, perform root-cause analysis of failures.

Skills

MWAA

Airflow

AWS

CI/CD

Tools

Terraform

CloudFormation

Job description

Senior AWS Cloud Administrator - Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: AWS Cloud Administrator

Location: 100% Remote (U.S.)

Experience Required: 12+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

The AWS MWAA Administrator / Engineer with 12+ years is responsible for the design, administration, monitoring, optimization, and support of Amazon Managed Workflows for Apache Airflow (MWAA) environments used for enterprise data integration, data engineering, analytics, and workflow orchestration. The role partners closely with Cloud, Data Engineering, DevOps, Security, and Application teams to ensure reliable, scalable, secure, and cost-effective workflow operations across AWS cloud platforms.

Key Responsibilities

MWAA Platform Administration

• Deploy, configure, and administer AWS MWAA environments.
• Manage Airflow versions, upgrades, patches, and environment lifecycle activities.
• Configure worker scaling, schedulers, plugins, and environment settings.
• Manage Airflow connections, variables, pools, and secrets.
• Perform capacity planning and performance tuning.

Workflow s DAG Operations

• Support development teams in onboarding and deployment of Airflow DAGs.
• Troubleshoot DAG failures, scheduling issues, and dependency conflicts.
• Implement workflow standards, coding best practices, and operational procedures.
• Manage DAG promotion between Development, Test, UAT, and Production environments.
• Optimize workflow execution performance and resource utilization.

AWS Cloud Engineering

• Integrate Airflow workflows with:
• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon RDS/PostgreSQL
• Amazon Redshift
• Amazon EMR
• Amazon SNS/SQS
• AWS Step Functions
• Amazon EKS/ECS
• Design secure connectivity patterns using VPCs, subnets, security groups, and IAM roles.

Monitoring s Reliability

• Monitor MWAA environments using:
• Amazon CloudWatch
• CloudWatch Logs
• CloudWatch Metrics
• Airflow UI
• Create operational dashboards and alerting.
• Perform root-cause analysis of workflow failures.
• Establish SLAs, operational runbooks, and recovery procedures.

Security s Governance

• Implement least-privilege IAM policies.
• Ensure compliance with enterprise security requirements.
• Manage encryption using AWS KMS.
• Support audit and compliance initiatives.
• Secure access to Airflow web interfaces and AWS resources.

DevOps s Automation

• Build CI/CD pipelines for Airflow DAG deployments.
• Automate environment provisioning using:
• Terraform
• CloudFormation
• AWS CDK
• Use Git-based deployment models and release management processes.
• Develop operational automation for maintenance activities.

Documentation s Operational Support

• Create architecture diagrams and operational procedures.
• Maintain support documentation and knowledge articles.
• Participate in incident response and production support rotations.
• Provide mentoring and technical guidance to platform and application teams.

Bright Vision Technologies is an Equal Opportunity Employer.

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.