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Remote Amazon Aws Connect Jobs in Riverside, CA (NOW HIRING)

Wayvia

Customer Success Manager

Irvine, CA · Remote

We help global brands connect with their shoppers in ways that are relevant, respectful, and real ... Experience with major retailers (e.g., Amazon, Best Buy, Walmart) is a plus. * Strong multitasking ...

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FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

All JobsAmazon Aws Connect JobsRemote Amazon Aws Connect JobsRemote Amazon Aws Connect Jobs in Riverside, CA

Remote Amazon Aws Connect information

See Riverside, CA salary details

$37

$67

$88

How much do remote amazon aws connect jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote amazon aws connect in Riverside, CA is $67.21, according to ZipRecruiter salary data. Most workers in this role earn between $59.95 and $73.75 per hour, depending on experience, location, and employer.

What is a Remote Amazon AWS Connect?

A Remote Amazon AWS Connect job typically involves managing, configuring, or supporting Amazon Connect—a cloud-based contact center solution—while working from a remote location. Professionals in this role may be responsible for setting up call flows, integrating AWS services, troubleshooting issues, and optimizing customer experience. These jobs can be technical, such as cloud engineers or solution architects, or support-focused, like customer support specialists. Working remotely allows flexibility, as all tasks can be performed online via AWS's cloud platform. Knowledge of AWS services and customer service best practices is often required.

What are the key skills and qualifications needed to thrive as a Remote Amazon AWS Connect specialist?

To thrive as a Remote Amazon AWS Connect Specialist, you need expertise in cloud-based contact center solutions, AWS services (especially Amazon Connect), and experience with telephony or customer service platforms, often supported by AWS certifications. Familiarity with technical tools like AWS Lambda, S3, CloudWatch, and CRM integrations is typically required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and client support. These competencies are vital for delivering scalable, reliable solutions and ensuring seamless customer experiences in a remote environment.

What are some common challenges faced by Remote Amazon AWS Connect specialists, and how can they be addressed?

Remote Amazon AWS Connect specialists often encounter challenges such as ensuring seamless integration with existing systems, managing secure access for distributed teams, and troubleshooting connectivity issues without on-site support. To address these, it's important to stay updated with AWS documentation, collaborate closely with IT teams, and leverage AWS support resources. Regular communication with stakeholders and proactive monitoring of system performance also help minimize disruptions and maintain high service quality.

What is the difference between Remote Amazon Aws Connect vs Remote Amazon Aws Cloud Practitioner?

AspectRemote Amazon Aws ConnectRemote Amazon Aws Cloud Practitioner
CertificationsAWS Certified Connect Specialist or relevant certificationsAWS Certified Cloud Practitioner
Work EnvironmentCustomer support, contact center, or communication-focused rolesCloud fundamentals, sales, or marketing roles
Industry UsageCustomer service, contact centers, communication servicesCloud services, sales, and marketing teams
Job FocusManaging AWS Connect contact centers and customer interactionsUnderstanding AWS cloud basics and promoting AWS services

Remote Amazon Aws Connect roles focus on managing AWS contact center solutions and customer interactions, requiring specialized certifications. In contrast, Remote Amazon Aws Cloud Practitioner positions involve understanding AWS cloud fundamentals, suitable for sales or marketing roles. Both are in the AWS ecosystem but serve different functions and skill sets.

What are popular job titles related to Remote Amazon Aws Connect jobs in Riverside, CA?

For Remote Amazon Aws Connect jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Aws Connect jobs in Riverside, CA look for?

The top searched job categories for Remote Amazon Aws Connect jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Amazon Aws Connect jobs?

Cities near Riverside, CA with the most Remote Amazon Aws Connect job openings:

Remote Amazon Aws Connect jobs near you
Infographic showing various Remote Amazon Aws Connect job openings in Riverside, CA as of August 2026, with employment types broken down into 67% Full Time, 25% Part Time, and 8% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $139,797 per year, or $67.2 per hour.

Senior Datadog Architect & Implementation Engineer

Redlands, CA • Remote

iShare Inc
See more jobs at iShare Incexternal

$70 - $75/hr

Part-time

Posted 14 days ago

Job description

Locations: India (Offshore) and United States (Onsite)
Compensation:


Role Overview
We are seeking a hands-on Senior Datadog Architect & Implementation Engineer to lead the Datadog implementation for a multi-account AWS observability rollout across Development, UAT, and Production environments.
The platform supports a portfolio of AI agent solutions built using Amazon Bedrock, Bedrock AgentCore, AWS Lambda, and Amazon ECS. This is an implementation-focused position—not an advisory or dashboard-only role.
The successful candidate will deliver a fully operational observability solution, including live dashboards, correctly configured alerts, centralized logs, metrics, distributed traces, and production-ready notification routing.
Key Responsibilities
  • Design and deploy an organization-wide Datadog AWS integration across Dev, UAT, and Prod environments.
  • Implement the integration using AWS CloudFormation StackSets, AWS Organizations, and secure cross-account IAM roles.
  • Build and maintain the CloudWatch Logs-to-Datadog pipeline using the Datadog Forwarder Lambda and CloudWatch subscription filters.
  • Configure Datadog AWS metrics polling across multiple AWS accounts.
  • Enable CloudWatch Transaction Search and configure the Datadog AWS X-Ray integration.
  • Ensure AgentCore trace and span data is visible and searchable within Datadog.
  • Implement distributed tracing and telemetry using AWS X-Ray and OpenTelemetry.
  • Create tag-driven dashboards organized by environment, AWS account, application, and AI solution.
  • Build dashboards for AI token consumption, platform usage, performance, reliability, and cost monitoring.
  • Define, configure, and tune Datadog monitors and alert thresholds.
  • Establish notification routing, escalation paths, and production-support procedures.
  • Troubleshoot issues involving missing logs, metrics, traces, permissions, tags, and cross-account integrations.
  • Work with security, cloud infrastructure, platform, and application teams to complete IAM and compliance reviews.
  • Provide production support and maintain the implemented Datadog platform.
Required Qualifications
  • Strong hands-on experience implementing Datadog in multi-account AWS environments.
  • Proven experience configuring Datadog AWS metrics polling.
  • Hands-on experience deploying and supporting the Datadog Forwarder Lambda.
  • Experience configuring CloudWatch Logs subscription filters and centralized log forwarding.
  • Strong knowledge of AWS Organizations and organization-wide cloud deployments.
  • Hands-on experience with CloudFormation and CloudFormation StackSets.
  • Strong understanding of cross-account IAM roles, trust policies, permissions, and security controls.
  • Experience with AWS X-Ray, OpenTelemetry, distributed tracing, metrics, logs, and spans.
  • Hands-on experience supporting AWS Lambda, Amazon ECS/Fargate, CloudWatch Logs, and CloudWatch Metrics.
  • Experience building production Datadog dashboards, monitors, alerts, and notification workflows.
  • Ability to implement solutions against an existing enterprise architecture.
  • Experience working through security, compliance, and IAM approval processes.
  • Strong troubleshooting, cross-team delivery, and production-support skills.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience monitoring AI or generative AI solutions built with Amazon Bedrock or Bedrock AgentCore.
  • Experience creating token-usage and cost-monitoring dashboards for AI workloads.
  • Knowledge of Datadog tagging strategies and AWS tag taxonomies.
  • Datadog or AWS professional certifications.
  • Experience delivering observability solutions in regulated enterprise environments.
Expected Deliverables
By the end of the engagement, the engineer will be expected to deliver:
  • Working Datadog integrations across all required AWS accounts and environments.
  • Operational CloudWatch log-forwarding and metrics-polling pipelines.
  • Visible and searchable AgentCore traces and spans.
  • Live, tag-driven operational and cost dashboards.
  • Correctly firing and tuned monitors and alerts.
  • Production-ready notification routing and support documentation.
Important Candidate Requirement
Priority will be given to candidates who have personally designed and implemented Datadog across multiple AWS accounts.
Candidates whose experience is limited to using existing Datadog dashboards, reviewing logs, or managing monitors without implementing the underlying AWS integration, Forwarder Lambda, StackSets, cross-account IAM roles, and tracing pipeline will not be considered a strong match.

This is a remote position.