Amazon Connect Developer

Posted:
6/26/2026, 6:49:35 PM

Location(s):
Hyderabad, Telangana, India ⋅ Telangana, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
On-site

Pay:
$127k/yr

IND Staff Software Engineer - GCC011

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Role Summary

We are seeking a highly skilled Agile Software Engineer for our Contact Center teams with expertise in AWS cloud services, CI/CD automation, and modern contact center platforms. This role will design, build, and support scalable solutions within a cloud-based, omni-channel customer experience platform (e.g., Amazon Connect).

The ideal candidate combines strong hands-on engineering experience (Python, DevOps, cloud-native architectures) with experience in contact center technologies (Amazon Connect, Genesys Cloud, NICE, or Five9). We have a strong AI-first engineering mindset and are seeking engineers experienced with — or eager to adopt — AI-driven development practices and tooling.

Key Responsibilities

Software Engineering & Development

  • Develop, test, and maintain Contact Center solutions within Amazon Connect with Amazon Flow builder, Lambda, and Dynamo
  • Support:
    • IVR/contact flow development
    • Routing logic and telephony integrations
    • Voice, chat, and email channel capabilities
  • Contribute to contact center migration and modernization efforts
  • Design integrations across contact center platforms and enterprise systems
  • 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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