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Lead Cloud Contact Center Architect

Lead Cloud Contact Center Architect

Blue Spire IncHyderabad, Republic Of India, IN
4 days ago
Job description

Blue Spire is seeking an experienced Lead / Senior Manager – AWS Connect Engineering & API Solutions to spearhead large-scale AWS Connect migration and modernization programs for our BFSI enterprise clients. This role requires deep hands-on expertise in AWS Connect, cloud architecture, IVR migrations , and API engineering , along with strong leadership capabilities to drive multi-workstream delivery.

You will lead solution architecture, oversee engineering teams, collaborate with product & business leaders, and ensure successful end-to-end delivery of cloud-based contact center transformation initiatives.

Key Responsibilities

Leadership & Program Ownership

  • Drive and oversee large-scale Cisco-to-AWS Connect migration initiatives across multiple business units.
  • Lead cross-functional engineering teams (AWS, API, UI, QA, Infra, Security) to deliver complex cloud contact center solutions.
  • Define, manage, and track program roadmaps, delivery milestones, risks, and KPIs .
  • Serve as the primary technology leader and escalation point for AWS Connect solutioning, integrations, and performance.
  • Collaborate with senior stakeholders, product owners, and AWS account teams to align technical outcomes with business objectives.

Architecture & Solution Design

  • Architect and validate end-to-end solutions involving Amazon Connect, Lambda, Lex, S3, DynamoDB, API Gateway, and IAM .
  • Provide thought leadership on IVR design, contact flows, call routing, queue management, and agent experience optimization .
  • Own the design and optimization of IVR workflows, Lex bots, customer journeys, and omni-channel experiences.
  • Review and guide technical solutions across integrations, APIs, UI, backend, and cloud infrastructure.
  • Engineering Delivery & Technical Oversight

  • Oversee technical delivery of configuration, call flows, IVR logic, CTI integrations, and chatbot development.
  • Provide hands-on support and mentorship in AWS Connect implementation, AWS Lambda, serverless architectures, and microservices-based APIs.
  • Ensure adherence to security, compliance, cloud governance, and BFSI regulatory requirements .
  • Lead performance tuning, monitoring, incident management, and environment optimization.
  • Stakeholder & Team Management

  • Manage and mentor engineers across AWS Connect, backend APIs, cloud, and UI development.
  • Act as the liaison among business teams, engineering leads, cloud architects, and vendor teams.
  • Drive documentation standards, knowledge-sharing, and best practices across the organization.
  • Required Skills & Experience

    Technical Expertise

  • 12+ years of IT experience with at least 5+ years in AWS Connect and cloud contact center architectures .
  • Proven leadership in Cisco-to-AWS migration programs , IVR modernization, and chatbot / voicebot transformation.
  • Strong hands-on knowledge of :
  • Amazon Connect (Contact flows, routing profiles, queues, telephony)
  • AWS Lambda, Lex, S3, CloudWatch, DynamoDB, IAM, API Gateway
  • Event-driven and serverless architectures
  • Deep understanding of IVR systems, telephony, SIP, call flows , and BFSI customer service journeys.
  • Engineering & Architecture Skills

  • Experience designing and integrating microservices / APIs (Java, Node.Js preferred).
  • Exposure to front-end frameworks (React / Angular) for custom agent desktop / UI integrations.
  • Solid understanding of DevOps (CI / CD), CloudFormation / Terraform , monitoring, and security controls.
  • Leadership & Delivery Skills

  • Experience leading large engineering teams and managing multi-stream delivery programs.
  • Strong communication, stakeholder management, and ability to influence senior leadership.
  • Proven experience in BFSI enterprise environments and secure cloud migration programs.
  • Nice to Have

  • AWS Certification : AWS Solutions Architect / Developer / DevOps Engineer .
  • Experience with containerization (Docker / Kubernetes).
  • Exposure to analytics platforms, voice analytics, chatbot / NLP enhancements.
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