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IC

Technical Lead

Infinite Computer Solutions
🇮🇳 India
On-site
Staff / Principal
1 week ago
  • AWS
  • Amazon Connect
  • AI
  • SQL
  • Machine Learning
  • calibration
  • ServiceNow
  • Active Directory
  • AWS Lambda
  • Athena
  • Trino
  • Amazon EventBridge
  • SNS
  • Power BI
  • Change Management
  • Python
  • Node.js
  • IAM
  • Amazon SES
  • AWS Glue
  • Microsoft Power BI
  • Excel
  • CloudFormation
  • Terraform
  • Kinesis
  • Cloud Practitioner
  • ITIL
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Job description

AWS Connect EngineerRole Summary:
We are looking for an AWS Connect Engineer who can both design and operate the Amazon Connect contact center and build the reporting and analytics that leadership relies on. The ideal candidate is equally comfortable building IVR/contact flows and AI-assisted quality evaluation as they are writing SQL against the analytics data lake and standing up automated daily reports. You will own the Connect platform end-to-end — configuration, routing, integrations, quality, and metrics — for a multi-tower service desk operating across queues such as TSD-L1, TSD-L2, Clinical Service Desk, and Enhanced/C-Suite support. 

What makes this role different 
This is not a config-only role. You will also produce the numbers leadership acts on — calls offered/answered, ASA, AHT, service levels, and a defensible true-abandonment figure — using Connect metrics, the analytics data lake, and automated reporting. Strong SQL and AWS reporting skills are as important as Connect configuration. 

Key Responsibilities 
A. Amazon Connect – Design & Configuration 
Contact flows & IVR: design, build, and maintain inbound flows, IVR menus, prompts (S3 / TTS / SSML), hours of operation, holidays, and error handling 
Routing: configure queues, routing profiles, quick connects, and multi-queue fallback/overflow logic (e.g., mutual fallback between towers) 
Agent experience: manage security profiles, users, agent hierarchies, and the Contact Control Panel / agent workspace 
Data Tables & dynamic config: use Amazon Connect Data Tables for no-code operational changes such as outage announcements, holiday flags, and dynamic prompts 
Telephony: claim and manage DIDs / toll-free numbers; coordinate carrier and number porting where required 

B. Quality, AI & Contact Lens 
Contact Lens: enable and configure conversational analytics (post-call), category rules, sentiment, and redaction 
Evaluation forms: build and maintain agent evaluation forms, including generative-AI (automated) scoring and rule-based automation 
QA operations: support calibration between AI and human reviewers; tune evaluation logic and thresholds

C. Integrations 
ITSM: integrate Connect with ServiceNow (screen-pop, ticket create/update, resolver-group routing) 
Identity & collaboration: work with Active Directory / Entra ID and Microsoft Teams as applicable 
Serverless glue: build and maintain AWS Lambda functions used within flows and for automation 

D. Reporting, Metrics & Analytics  (equal priority) 
Built-in reporting: create, schedule, and maintain historical & real-time metrics reports; configure S3 export and scheduled delivery 
Metrics APIs: use GetMetricDataV2 to programmatically pull queue/agent metrics (service level thresholds, ASA, AHT, abandonment) at custom intervals and time zones 
Analytics Data Lake / Athena: enable the Connect analytics data lake; write Athena (Presto/Trino) SQL against contact_record / contact_statistic_record for contact-level accuracy — including true-abandonment logic using Agent Connection Attempts 
Automated distribution: build serverless pipelines (EventBridge → Lambda → SES / SNS) to compute KPIs and email daily/weekly reports; land data in S3 
BI dashboards: prepare data for and support Amazon QuickSight and/or Power BI dashboards; ensure clean, model-ready datasets 
Metric integrity: understand nuanced Connect metric behavior (e.g., contacts handled vs. queued, agent non-response vs. customer abandon) and produce numbers that reconcile and are defensible to leadership 

E. Operations & Governance 
Stabilization & go-live: support go-live ramp-up, monitoring, and post-go-live stabilization 
Change management: follow least-privilege and change-control practices; document configurations and runbooks 
Stakeholder support: translate business/operational needs into Connect configuration and reporting; present results clearly to PMO and C-level stakeholders 

Required Skills & Experience 
Amazon Connect (must-have) 
Hands-on building Amazon Connect contact flows, routing profiles, queues, and IVR 
Contact Lens, evaluation forms, and quality-management configuration 
Amazon Connect Data Tables, prompts (SSML/TTS), hours of operation, and quick connects 
Experience with queue fallback/overflow and multi-tower routing designs 
AWS platform & reporting (must-have) 
Strong SQL — able to write and optimize analytical queries (Athena / Presto-Trino preferred) 
AWS Lambda (Python or Node.js), IAM (least-privilege policies), Amazon S3 
Amazon Connect metrics: GetMetricDataV2 / historical & real-time reports; metric definitions 
Amazon EventBridge (scheduling) and Amazon SES/SNS for automated report delivery 
Amazon Connect analytics data lake / AWS Glue / Lake Formation exposure 
BI tooling — Amazon QuickSight and/or Microsoft Power BI 
Comfortable in advanced Excel for data validation and ad-hoc analysis 
Integrations & tooling (strong plus) 
ServiceNow integration with Connect (CTI, screen-pop, incident automation) 
AWS CLI / CloudFormation or Terraform for repeatable deployments 
Amazon Lex (chatbot) and Kinesis (CTR streaming) exposure 
Active Directory / Entra ID, Microsoft Teams 

Soft skills 
Clear communicator who can explain metrics and trade-offs to non-technical leadership 
Detail-oriented and accuracy-driven; validates numbers before they are reported 
Comfortable working across locations and time zones with PMO governance 

Preferred Qualifications 
Certifications:AWS Certified Cloud Practitioner or Solutions Architect – Associate; any Amazon Connect specialty training 
Domain:prior work in IT Service Desk / ITIL environments or healthcare contact centers 
Education: Bachelor's in computer science, IT, or equivalent practical experience 

What Success Looks Like (First 90 Days) 
Owns and documents the existing Connect configuration (flows, queues, routing, evaluation forms) 
Delivers a reliable daily/weekly KPI report (offered, answered, ASA, AHT, true-abandon %) that reconciles and is trusted by leadership 
Stands up or stabilizes the automated reporting pipeline (data lake / Lambda / scheduled delivery) 
Implements at least one operational improvement (e.g., outage-announcement via Data Tables, routing optimization, or AI evaluation tuning) 

How to evaluate candidates (for the hiring panel) 
•  Ask them to whiteboard a contact flow with multi-queue fallback and an outage announcement. 
•  Give a SQL scenario: compute true abandonment (customer disconnected in queue, no agent connected) from contact records. 
•  Probe metric nuance: why can ‘contacts handled’ exceed ‘contacts queued’, and how they’d report a defensible abandon rate. 
•  Ask how they’d schedule and email a daily report without manual effort (EventBridge → Lambda → SES).
  • Qualifications: Graduation
  • Range of Year Experience-Min Year: 8
  • Range of Year Experience-Max Year: 10

Technical Lead · Infinite Computer Solutions

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