AWS - Cloud Engineer

IND Staff Software Engineer - GCC011
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AWS - Cloud Engineer
Tier – 7A
6-9 Years
Customer Experience Platform Engineering
Role Summary
We are seeking an AWS Cloud Engineer to design, build, integrate, and support cloud-native customer experience capabilities within an Amazon Connect-powered contact center ecosystem. This role uses AWS services, APIs, serverless computing, event-driven architecture, and Infrastructure as Code to extend Amazon Connect and deliver seamless experiences across voice, chat, email, messaging, self-service, agent workflows, analytics, and enterprise systems. The ideal candidate combines hands-on AWS engineering expertise with experience in contact center technologies, customer journey design, and the operational needs of a large-scale customer experience platform. We operate with an AI-first engineering mindset and expect engineers to use AI-assisted practices responsibly to improve speed, quality, and innovation.
Technical Skills Framework
Primary skills are the tools and capabilities used by the team to perform the role. Each definition describes the core skill and its application within the Amazon Connect contact center ecosystem. Comparable skillsets represent adjacent experience that may transfer and accelerate onboarding, but are not technically aligned to the team’s current way of working.
Primary Skills
Skill
Definition
Comparable skillset
Lambda
Build scalable serverless applications, APIs, routing extensions, workflow services, and event-driven integrations that enhance Amazon Connect and support customer and agent experiences.
Azure Functions; Google Cloud Functions
TypeScript
Develop maintainable, strongly typed services and integrations that support customer journeys, contact center workflows, and enterprise connectivity.
Python; JavaScript
AWS Services
Engineer cloud-native capabilities using S3, DynamoDB, KMS, EventBridge, IAM, SQS, SNS, Secrets Manager, CloudWatch, and related services to support interaction processing, notifications, orchestration, analytics, and secure integration with Amazon Connect.
Comparable Azure or Google Cloud services
CDK
Implement Infrastructure as Code using AWS CDK to automate consistent, secure deployment and management of Amazon Connect supporting services and customer experience capabilities.
CloudFormation; Terraform
API Gateway
Design, secure, and manage REST and HTTP APIs that connect Amazon Connect, agent experiences, enterprise systems, and third-party contact center technologies.
APIGEE; APIC
Secondary Skills
Skill
Definition
Comparable skillset
Flows
Understand Amazon Connect contact flow design, customer journeys, routing strategies, integration points, and troubleshooting so cloud services work effectively within end-to-end contact center experiences.
Genesys Architect; NICE Studio; Five9 Studio; Cisco CVP
Connect Desktop
Understand Amazon Connect agent desktop configuration, routing profiles, agent workflows, and operational processes so cloud-native capabilities integrate seamlessly into the agent experience.
Genesys Cloud administration; NICE CXone administration; Five9 administration
Key Responsibilities
Customer Experience Platform Engineering
Design and develop cloud-native capabilities that extend Amazon Connect functionality and improve customer and agent experiences.
Build services that enable customer self-service, routing enhancements, agent productivity, interaction processing, workflow orchestration, notifications, authentication, analytics, and experience optimization.
Partner with Connect Engineers, Product Owners, architects, and business stakeholders to implement end-to-end customer journeys using Amazon Connect and supporting AWS services.
Translate contact center and customer experience needs into scalable, reusable, and supportable technical capabilities.
Contact Center Ecosystem Integration
Develop APIs, event-driven services, and integration patterns that connect Amazon Connect with enterprise systems and third-party contact center technologies.
Build integrations supporting voice, chat, email, messaging, customer authentication, outbound communications, workforce processes, analytics, and customer engagement capabilities.
Integrate contact center workflows with customer, policy, claims, knowledge, workforce, communication, reporting, and other enterprise platforms.
Contribute to migration and modernization initiatives that improve customer experience, operational efficiency, and platform scalability.
Cloud-Native Application Development
Design, develop, test, and support serverless applications, APIs, microservices, and reusable platform services using Lambda, TypeScript, and related AWS technologies.
Use event-driven and asynchronous patterns to process contact events, coordinate workflows, and decouple Amazon Connect from downstream systems.
Design for resilience, scalability, performance, recoverability, security, and cost efficiency across the customer interaction lifecycle.
Infrastructure as Code and DevSecOps
Implement Amazon Connect supporting infrastructure and AWS services using CDK and repeatable deployment patterns.
Build and maintain CI/CD automation, testing, quality gates, security scanning, and environment promotion processes.
Apply least-privilege access, encryption, secrets management, logging, monitoring, and enterprise cloud governance standards.
API and Integration Engineering
Design, secure, version, document, and operate APIs used by contact flows, agent applications, customer channels, and enterprise systems.
Apply authentication, authorization, throttling, error handling, observability, and governance standards.
Evaluate integration alternatives and document architectural decisions and tradeoffs based on customer experience, operational, and technical requirements.
Platform Operations and Optimization
Monitor production services and end-to-end contact center integrations, respond to incidents, and restore customer and agent capabilities.
Use telemetry to identify customer journey failures, integration issues, performance constraints, and improvement opportunities.
Perform root cause analysis and implement preventative improvements that increase reliability, recoverability, and operational supportability.
Optimize cloud consumption while protecting customer experience, platform performance, and service resilience.
AI-First Engineering
Use AI-assisted engineering tools to accelerate coding, testing, troubleshooting, documentation, and knowledge sharing.
Validate AI-generated outputs for accuracy, security, performance, maintainability, and compliance.
Identify opportunities to apply AI and automation to routing, self-service, agent support, analytics, and engineering productivity.
Agile Delivery and Product Ownership
Co