Build and maintain APIs, microservices, and serverless solutions
Ensure solutions meet performance, scalability, and security standards
AWS & Cloud Engineering
Implement solutions using AWS services, including
IAM (Identity & Access Management)
Lambda / serverless compute
API Gateway
S3, DynamoDB, or RDS
AI-First Engineering (Preferred)
Leverage AI tools to accelerate development productivity and quality
Apply AI-assisted approaches for
Code generation and refactoring
Test case generation and defect analysis
Documentation and knowledge sharing
Experience with or interest in AI development tools used within the enterprise environment (e.g., Copilot-style tools, internal AI accelerators, or similar platforms)
Contribute to building and integrating AI-enabled capabilities within customer experience platforms (e.g., routing intelligence, automation, insights)
Agile Delivery
Collaborate with Product Owners and Agile teams to refine user stories and deliver sprint commitments
Participate in Agile ceremonies (planning, stand-ups, retrospectives, demos)
Deliver working, production-ready software each sprint
Quality & Engineering Excellence
Develop and maintain automated unit and integration tests
Participate in code reviews and enforce standards
Troubleshoot defects and perform root cause analysis
Ensure adherence to definition of done and quality benchmarks
Required Skills & Experience
CCaaS / Telephony Platforms
Hands-on experience with
Amazon Connect (preferred)
OR similar platforms (Genesys Cloud, NICE, Five9)
Knowledge of
IVR/contact flows
Routing logic and telephony integrations
Omni-channel customer experience solutions
AWS & Cloud
Hands-on experience with AWS services
IAM (roles, policies, access control)
Lambda, API Gateway
Data services (DynamoDB, S3, RDS)
DevOps & CI/CD
Experience with
Jenkins
AWS CodePipeline (CodeBuild / CodeDeploy preferred)
Strong understanding of CI/CD, automation, and version control (Git)
Agile & SDLC
Experience working in Agile (Scrum/Kanban) environments
Familiarity with tools such as
Jira, Rally, or equivalent
Strong understanding of iterative delivery and backlog refinement
Professional Skills
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Ability to thrive in a fast-paced, Agile environment
Preferred Qualifications
Experience with
Event-driven architectures (Kafka, SNS/SQS)
Observability tools (CloudWatch, Splunk)
Infrastructure as Code (Terraform, CloudFormation)
AWS certifications (Developer, Solutions Architect)
Experience in large-scale cloud or contact center transformations
Success Profile
Delivers high-quality solutions aligned to sprint goals
Demonstrates ownership from design through production support
Actively adopts and champions AI-first development practices
Team player who will step into any gap to create momentum, and challenge/advance team capability and engagement
Contributes to engineering innovation, speed, and quality
Balances delivery velocity with long-term architectural integrity
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