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Aws Managed Services Jobs in Riverside, CA (NOW HIRING)

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Experience with AWS AI services such as Amazon SageMaker, Bedrock, or Amazon OpenSearch is preferred. Preferred Qualifications: * Experience with Apache Airflow or AWS Managed Workflows (MWAA)

ICEYE US-SkyFi

Full Stack Engineer

Irvine, CA · On-site

$125 - $140/hr

Working knowledge of IAM policies, API Gateway, Lambda, DynamoDB, and other AWS managed services. Pay Range and Compensation Package * The estimated base salary range for this role is $125,000 - $140 ...

Staffingine LLC

Sr. AWS Developer / Engineer

Irvine, CA · On-site

Strong expertise in AWS services: Lambda, API Gateway, EC2, S3, RDS, CloudFormation. * Proficiency ... Manage infrastructure using Terraform or AWS CloudFormation. * Monitor and optimize application ...

3B Staffing LLC

AWS or Security Architect

Irvine, CA · On-site

$69.50 - $91.25/hr

... cryptography, key management, identity and access management, network security * 5+ years ... services and supporting them in production * 2 years working with common and industry standard ...

New

3B Staffing LLC

AWS or Security Architect

Irvine, CA · On-site

$69.50 - $91.25/hr

... cryptography, key management, identity and access management, network security * 5+ years ... services and supporting them in production * 2 years working with common and industry standard ...

New

ClifyX

Sr. AWS Cloud Engineer

Irvine, CA · On-site

$59.25 - $79/hr

... services. The role involves deploying and configuring EC2, EKS, and other AWS components while ... state management. • Familiarity with Java/.NET apps, TIBCO ESB, and infra dependencies during ...

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Aws Managed Services information

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$80

How much do aws managed services jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for aws managed services in Riverside, CA is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $67.21 per hour, depending on experience, location, and employer.

What is AWS Managed Services?

AWS Managed Services (AMS) is a suite of services offered by Amazon Web Services that helps businesses manage their AWS infrastructure more efficiently. AMS automates common activities such as monitoring, patch management, security, and backup, allowing organizations to focus on their core activities instead of day-to-day infrastructure management. It also provides operational best practices, compliance, and ongoing cost optimization. By leveraging AMS, companies can accelerate their migration to the cloud and ensure their environments remain secure and up-to-date.

What are the key skills and qualifications needed to thrive as an AWS Managed Services specialist, and why are they important?

To excel in AWS Managed Services, you need a strong understanding of cloud computing concepts, AWS infrastructure, and experience with IT operations or systems administration, often supported by AWS certifications like AWS Certified Solutions Architect or SysOps Administrator. Familiarity with AWS Management Console, CloudFormation, CloudWatch, and automation tools such as Terraform or Ansible is typically required. Strong problem-solving skills, attention to detail, and effective communication help in managing complex cloud environments and collaborating with teams. These competencies ensure reliable, secure, and scalable cloud solutions that align with business objectives.

What are some common challenges faced by professionals working in AWS Managed Services, and how can they be addressed?

Professionals in AWS Managed Services often encounter challenges such as managing complex cloud migrations, ensuring compliance with security standards, and optimizing cloud costs for clients. To address these, teams typically rely on well-defined processes, automation tools, and regular training to stay updated on AWS best practices. Collaboration with client IT teams and AWS support specialists is crucial for troubleshooting and continuous improvement. Adapting quickly to changes and proactively identifying optimization opportunities are key to success in this dynamic environment.

What is the difference between Aws Managed Services vs Cloud Support Engineer?

AspectAws Managed ServicesCloud Support Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified SysOps AdministratorAWS certifications, often Solutions Architect or SysOps
Work EnvironmentManaged service providers, cloud service teams, enterprise environmentsTechnical support teams, cloud service providers, enterprise IT
ResponsibilitiesManaging AWS infrastructure, monitoring, automation, securityTroubleshooting, technical support, issue resolution for cloud services
Industry UsageCloud service providers, MSPs, large enterprisesCloud vendors, IT support firms, enterprise IT teams

While Aws Managed Services focus on managing and maintaining AWS infrastructure for clients, Cloud Support Engineers provide technical support and troubleshooting for cloud environments. Both roles require AWS certifications and work in cloud-centric environments, but their core responsibilities differ: one manages infrastructure proactively, the other resolves technical issues reactively.

Are AWS Managed Services jobs still in demand?

AWS Managed Services jobs remain in demand due to the ongoing growth of cloud computing and the need for organizations to manage and optimize their AWS environments. These roles often require skills in cloud architecture, automation, and certifications like AWS Certified Solutions Architect, making them valuable in the current job market.

What are popular job titles related to Aws Managed Services jobs in Riverside, CA?

For Aws Managed Services jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Aws Managed Services jobs in Riverside, CA look for?

The top searched job categories for Aws Managed Services jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Aws Managed Services jobs?

Cities near Riverside, CA with the most Aws Managed Services job openings:

Aws Managed Services jobs near you

Sr. Data Engineer (AI + AWS)

IT America Inc

Irvine, CA • On-site

$122K - $147K/yr

Contractor

Re-posted 20 days ago

Job description

Position: Sr. Data Engineer (AI + AWS)

Location: Irvine/LA, CA  (Onsite)

Duration: Long term contract

Job Summary:

We are seeking a highly skilled Data Engineer with expertise in AI-enabled data platforms, AWS cloud services, Python, PySpark, and Kubernetes to design, develop, and optimize scalable data pipelines and machine learning data infrastructure. The ideal candidate will have experience building cloud-native data solutions, processing large-scale datasets, and supporting AI/ML workloads in AWS environments.

Key Responsibilities:

  • Design, build, and maintain scalable ETL/ELT data pipelines using Python and PySpark.
  • Develop cloud-native data solutions utilizing AWS services such as S3, EMR, Glue, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, and Step Functions.
  • Build and optimize data ingestion frameworks for structured, semi-structured, and streaming data.
  • Collaborate with Data Scientists and AI Engineers to prepare, transform, and deliver high-quality datasets for AI/ML model training and inference.
  • Deploy and manage containerized data applications using Kubernetes (EKS) and Docker.
  • Develop data processing workflows using Spark and optimize performance for large-scale distributed processing.
  • Design data lakes and modern data architectures following AWS best practices.
  • Implement data quality checks, monitoring, logging, and alerting mechanisms.
  • Optimize SQL queries and data models for analytical workloads.
  • Build CI/CD pipelines for automated deployment of data engineering solutions.
  • Ensure data governance, security, compliance, and access controls across cloud environments.
  • Troubleshoot production issues and provide performance tuning for distributed data systems.
  • Work closely with cross-functional teams in Agile/Scrum environments.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
  • 10+ years of Data Engineering experience.
  • Strong programming experience in Python.
  • Hands-on expertise with PySpark and Apache Spark.
  • Strong experience with AWS Cloud services.
  • Experience with Kubernetes (EKS) and Docker.
  • Strong SQL skills and experience with relational databases.
  • Experience building scalable ETL/ELT pipelines.
  • Familiarity with Git and CI/CD practices.
  • Excellent analytical, debugging, and problem-solving skills.

Required Technical Skills:

  • Cloud: AWS (S3, Glue, EMR, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, Step Functions)
  • Programming: Python
  • Big Data: PySpark, Apache Spark
  • Containers: Kubernetes, Docker
  • Databases: PostgreSQL, MySQL, SQL Server, Redshift
  • Data Storage: Data Lake, Data Warehouse
  • Version Control: Git
  • Operating Systems: Linux
  • Methodology: Agile/Scrum

AI/ML Experience:

  • Support AI/ML data pipelines and feature engineering.
  • Prepare datasets for model training and inference.
  • Experience integrating ML workflows into cloud-based data platforms.
  • Familiarity with LLMs, Generative AI, Vector Databases, or Retrieval-Augmented Generation (RAG) is a plus.
  • Experience with AWS AI services such as Amazon SageMaker, Bedrock, or Amazon OpenSearch is preferred.

Preferred Qualifications:

  • Experience with Apache Airflow or AWS Managed Workflows (MWAA).
  • Knowledge of Kafka or Kinesis for streaming data.
  • Experience with Delta Lake, Iceberg, or Apache Hudi.
  • Infrastructure-as-Code experience using Terraform or CloudFormation.
  • AWS certifications (Solutions Architect, Data Engineer, or Machine Learning Specialty) are highly desirable.