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Contract Aws Ecs Jobs (NOW HIRING)

System One

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146K/yr

... AWS services including ECS, S3, SQS, Lambda, IAM, VPC, and CloudWatch * Build Terraform modules and root module compositions for multi-service applications * Define YAML-based application contracts ...

Tunabear

Senior AWS Developer

Riverside, CA · Remote

Contract Duration: 6 months Start Date: August 2026 Location: Remote Work Hours : 8AM-5PM Pacific ... ECS/Fargate. * Proficiency in Python and Java * Experience with Docker and container-based ...

Staffingine LLC

AWS Cloud Architect

Seattle, WA · On-site

$73.75 - $96.75/hr

Contract Cloud Architecture & Design * Design and deploy highly available, fault-tolerant, and ... EC2, S3, RDS, Lambda, API Gateway, CloudFront, VPC, Route 53, ECS, ELB, and CloudWatch. * Expertise ...

System One

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146K/yr

... AWS services including ECS, S3, SQS, Lambda, IAM, VPC, and CloudWatch * Build Terraform modules and root module compositions for multi-service applications * Define YAML-based application contracts ...

System One

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146K/yr

... AWS services including ECS, S3, SQS, Lambda, IAM, VPC, and CloudWatch * Build Terraform modules and root module compositions for multi-service applications * Define YAML-based application contracts ...

ECS

Sr. Databricks Consultant - TS/SCI-CI Poly

Fairfax, VA · On-site

$175K - $250K/yr

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office . Please Note: This ... Integrate Databricks with cloud platforms (AWS, Azure, or GCP). * Implement data governance ...

QTS Data Centers

Senior DevOps Engineer-1

Ashburn, VA · On-site

$132K - $170K/yr

Responsibilities : • Manage AWS ECS and EKS • Create infrastructure/pipelines for new services ... contracts Preferred : • AWS Solutions Architect Professional Certification • AWS DevOps ...

QTS Data Centers

Senior DevOps Engineer-1

Phoenix, AZ · On-site

$129K - $165K/yr

Responsibilities : • Manage AWS ECS and EKS • Create infrastructure/pipelines for new services ... contracts Preferred : • AWS Solutions Architect Professional Certification • AWS DevOps ...

Saksoft

AWS platform engineer

West Des Moines, IA · On-site

$52 - $71.25/hr

Contract 4 Days On-Site Required Qualifications Senior-level AWS platform engineering experience: IAM (roles, policies, OIDC federation), ECR, ECS/Fargate, Secrets Manager / SSM, S3, VPC networking ...

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Contract Aws Ecs information

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How much do contract aws ecs jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for contract aws ecs in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is the difference between Contract Aws Ecs vs Cloud Engineer?

AspectContract Aws EcsCloud Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified DevOps EngineerAWS certifications, cloud platform certifications (Azure, GCP)
Work EnvironmentProject-based, short-term contracts, cloud infrastructure managementFull-time or contract, designing and maintaining cloud solutions
Industry UsageTech, e-commerce, startups, enterprises using AWSVarious industries adopting cloud technology
Search & Comparison IntentContract Aws Ecs vs Cloud EngineerRelated cloud roles, cloud engineering jobs

Contract Aws Ecs roles focus on deploying and managing containerized applications using AWS Elastic Container Service, often in short-term projects. Cloud Engineers have broader responsibilities, including designing, implementing, and maintaining cloud infrastructure across platforms. While both roles require AWS knowledge and certifications, Contract Aws Ecs positions are more specialized in container orchestration, whereas Cloud Engineers work on comprehensive cloud solutions.

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Contract Aws Ecs jobs near you
Infographic showing various Contract Aws Ecs job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

AWS Generative AI Expert

Pyramid Consulting, Inc

Jersey City, NJ • On-site

$71 - $93/hr

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Pyramid Consulting, Inc. is seeking a talented AWS Generative AI Expert for a contract position. The role involves designing and implementing end-to-end Generative AI solutions using AWS technologies, optimizing AI applications, and managing secure and scalable architectures.
Responsibilities:
• Design and implement end-to-end GenAI solutions using AWS Bedrock, incorporating foundation models like Claude and Titan, etc.
• Develop and optimize prompt engineering strategies for various use cases and business requirements.
• Create and maintain vector search solutions using AWS OpenSearch and other vector databases.
• Implement and manage knowledge bases using Amazon Kendra for enterprise search solutions.
• Design and deploy serverless architectures using AWS Lambda and ECS for AI applications.
• Develop and maintain Infrastructure as Code using CloudFormation.
• Implement secure and scalable database solutions using RDS PostgreSQL.
• Configure and manage IAM roles and permissions for secure AI service access.
• Build RESTful APIs and microservices for AI application integration.
• Design and implement NLP pipelines using AWS Comprehend & Guardrails.
• Create automated testing frameworks for AI applications.
• Develop cost optimization strategies for AI service usage.
• Lead proof-of-concept development for innovative AI solutions.
• Implement automated model evaluation frameworks.
• Design and maintain model serving architectures.
• Create model monitoring and alerting systems.
• Develop custom metrics for AI system performance.
• Implement model governance frameworks.
Qualifications:
Required:
• Generative AI
• AWS
• Machine Learning Artificial intelligence
• 5+ years of experience in software development with Python
• 3+ years of hands-on experience with AWS services
• Deep expertise in: AWS Bedrock and foundation models (Claude, Titan, etc.)
• Vector databases and embedding models
• Amazon Kendra implementation and optimization
• OpenSearch configuration and management
• AWS CloudFormation and Infrastructure as Code
• Serverless architectures (Lambda, ECS)
• IAM security and best practices
• RDS PostgreSQL database design and optimization
• AWS Step Functions for AI workflows
• AWS API Gateway configuration
• AWS Secrets Manager and Parameter Store
• AWS Comprehend and Guardrails
• Amazon CloudWatch for monitoring AI applications
• Container orchestration with ECS/EKS
• AWS Glue for ETL processes
• Amazon Athena for data analysis
• AWS Auto Scaling configurations
• Amazon ECR for container registry
• Advanced understanding of prompt engineering techniques and best practices
• Comprehensive knowledge of LLM capabilities, limitations, and optimal use cases
• Experience with RAG (Retrieval-Augmented Generation) implementations
• Expertise in vector similarity search and semantic search concepts
• Strong understanding of AI/ML deployment patterns and architectures
• Knowledge of AI security best practices and responsible AI principles
• Expertise in AI model evaluation and performance metrics
• Understanding of AI model governance and compliance requirements
• Knowledge of AI/ML cost optimization techniques
• Understanding of AI data privacy and security considerations
• Experience with AI model monitoring and debugging
• Expertise in model serving architectures
• Knowledge of PII detection and redaction
• Expertise in implementing AI Guardrails
• Knowledge of model performance optimization
• Expertise in data preprocessing pipelines
• Understanding of model evaluation metrics
• Understanding of model governance frameworks
• Proven track record of successfully delivered GenAI projects
• Experience with enterprise-scale AI implementations
• Background in creating production-ready AI solutions
• History of optimizing AI model performance and cost
• Experience with real-time AI inference systems
• Track record of successful AI system architecture design
• Experience with AI system performance tuning
• Background in AI project estimation and planning
• History of successful stakeholder management in AI projects
• Experience with AI system troubleshooting and debugging
• Track record of successful model deployments
• Experience with model monitoring systems
• Background in model governance implementation
• History of successful model optimization
• Track record of successful data pipeline design
• Background in model experiment design
• Background in model performance optimization
• Background in model governance frameworks
• Strong problem-solving and analytical abilities
• Excellent communication skills for explaining technical concepts to non-technical stakeholders
• Ability to lead technical discussions and mentor team members
• Strong documentation and technical writing skills
• Experience working in Agile environments
• Leadership skills for guiding AI initiatives
• Ability to influence and drive technical decisions
• Strong presentation skills for executive-level communications
• Excellent project management capabilities
• Capacity to work effectively in cross-functional teams
• Ability to mentor and guide junior AI developers
• Skills in facilitating technical design sessions
• Experience in conducting technical interviews
• Conflict resolution abilities
• Strategic thinking capabilities
• Change management skills
• Risk assessment abilities
• Decision-making capabilities
• Time management skills
• Team building abilities
• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
• Ability to work in a fast-paced environment with rapidly evolving technologies
• Willingness to stay current with AWS AI service updates and new features
• Availability for occasional off-hours support during critical deployments
• Ability to work across different time zones if necessary
• Commitment to continuous learning and professional development
• Willingness to contribute to technical blogs and knowledge sharing
Company:
Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Founded in 1996, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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