15 Aws Connect Jobs

Location : Bestech Towers (Sector 66-Mohali) Position : System Engineer- Amazon connect Experience : 3 years Position Overview : We are looking for a highly motivated and enthusiastic individual for the role of System Engineer for our US clients infrastructure management. The Engineers provide frontline support for incident resolution, ticket triage, call routing issues, IVR updates, and MACD (Move, Add, Change, Delete) tasks. Operating in a 24x7 environment, they ensure seamless service operations and user support. Required skills: • Monitor and manage Amazon Connect environments for performance issues, alerts, and service degradations. • Handle ticket triage, initial troubleshooting, and resolution of standard incidents. • Manage IVR updates, call routing configurations, and number provisioning to optimize contact flows. • Execute MACD tasks, including user provisioning, permission management, and skill group adjustments. • Escalate complex issues to the NOC Lead (L3 Engineer) or Cloud & Security Engineer when necessary. • Provide real-time support to resolve technical and operational challenges efficiently. • Maintain and update knowledge base documentation, SOPs, and best practices. • Collaborate with automation teams to streamline routine operational tasks. • Technical support, contact center operations, or IT service management. • Understanding of Amazon Connect, call flows, IVR systems, and cloud telephony fundamentals. • Familiarity with ITIL processes, ticketing tools (ServiceNow, Jira, Zendesk), and incident management workflows. • Basic knowledge of VoIP, SIP protocols, and network troubleshooting. Education and/or Experience: • Any Technical qualifications (BCA, B.Tech, B.Sc.-IT). • AWS or ITIL certifications are advantageous. Client Service: • Provide outstanding client service, responding promptly and professionally across communication channels. • Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: • Night shifts and Rotational shifts • 5 Days working in a week

Job Title: Amazon Connect Specialist (AWS)– BPO Contact Center Experience : 5-8 years Mandatory skill - Amazon connect, AWS Lambda Amazon Web service, Amazon Connect, Service Cloud Voice Architect with 8 -15 years’ experience. Experience with Amazon Connect (Contact flows, queues, routing profile) Integration experience with Salesforce (Service Cloud Voice) Hands-on with AWS services AWS Lambda (for backend logic) Programming language Java or Python Amazon Lex (Voice/chat bots) Amazon Kinesis (for call analytics and streaming) Amazon S3 (Storage) Amazon DynamoDB CloudWatch IAM Lead the end-to-end implementation and configuration of Amazon Connect Proficiency in programming scripting Java Script, Nodejs Familiarity with CRM integrations especially Salesforce Service Cloud Voice. Experience to design develop and implement scalable and reliable cloud based contact center solutions using Amazon Connect and AWS ecosystem services. Design and deployments of contact center setup using CI/CD pipelines or Terraform. Design and deployment experience in REST APIs and integration frameworks. Experience of telephony concepts SIP DID ACD IVR CTI AWS Certified Solutions Architect or Amazon Connect certification Job Summary:We are seeking a skilled AWS Connect Specialist to design, implement, and optimize cloud-based contact center solutions using Amazon Connect for our BPO operations. The ideal candidate will have a strong background in cloud telephony, contact center workflows, and customer experience technologies. Key Responsibilities: Design and deploy Amazon Connect contact center solutions tailored to BPO requirements. Configure routing profiles, queues, contact flows, and integrations with CRM and ticketing systems. Collaborate with operations and IT teams to ensure seamless agent onboarding and performance monitoring. Implement real-time and historical reporting dashboards using AWS tools (e.g., CloudWatch, Lambda, S3). Optimize call flows and IVR systems to improve customer satisfaction and reduce handling time. Ensure compliance with data security and privacy standards across all voice and chat channels. Required Skills: 3+ years of experience with Amazon Connect or similar CCaaS platforms. Strong understanding of AWS services like Lambda, S3, DynamoDB, and CloudFormation. Experience in BPO or customer service environments. Familiarity with contact center KPIs and workforce management tools. Excellent problem-solving and communication skills. Preferred Qualifications: AWS Certified Solutions Architect or equivalent certification. Experience integrating Amazon Connect with CRMs like Salesforce or ServiceNow. Knowledge of AI/ML features in Connect (e.g., Contact Lens, Lex bots).

Role Overview: The L3 Engineer and MS Team Lead is responsible for overseeing day-to-day operations, managing escalations, and driving automation within the Amazon Connect Managed Services framework. This role ensures optimal service availability, operational efficiency, and continuous improvements aligned with business objectives. Key Responsibilities: Lead and manage end-to-end operations of Amazon Connect, ensuring high availability, performance, and SLA compliance. Serve as the primary escalation point for critical incidents and complex technical challenges. Drive automation and process improvements to enhance service delivery and operational efficiency. Implement proactive monitoring, alerting, and reporting to mitigate risks and optimize service performance. Collaborate with L1/L2 engineers, security teams, and cloud architects for effective issue resolution and service enhancements. Interface with AWS Support and third-party vendors for troubleshooting and continuous service improvement. Establish and maintain Standard Operating Procedures (SOPs) and best practices for NOC operations. Support service transition planning for onboarding new customers and managing evolving operational requirements. Provide on-call support for escalations , ensuring critical issues are addressed promptly. Required Skills & Qualifications: 5+ years of experience in NOC operations, L3 support, or cloud-based contact center management . Expertise in Amazon Connect, AWS cloud services, networking, and VoIP technologies . Proficiency in incident, problem, and change management processes within an ITIL framework. Hands-on experience with automation, scripting, and Infrastructure-as-Code (IaC) . Familiarity with monitoring and observability tools (e.g., AWS CloudWatch, Splunk, Datadog). Strong troubleshooting skills in SIP, IVR flows, call routing, and cloud telephony integrations . AWS certifications (e.g., AWS Certified Advanced Networking, AWS Certified Solutions Architect) preferred. Client Service: • Provide outstanding client service, responding promptly and professionally across communication channels. • Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: • Night shifts /EST • Monday to Friday Fixed working days Benefits and compensation : Group Health insurance and other benefits. The Best working culture and growth opportunities. • Learning opportunities in leading technologies • Compensation as per Market Standard

Role Overview: The L3 Engineer and MS Team Lead is responsible for overseeing day-to-day operations, managing escalations, and driving automation within the Amazon Connect Managed Services framework. This role ensures optimal service availability, operational efficiency, and continuous improvements aligned with business objectives. Key Responsibilities: Lead and manage end-to-end operations of Amazon Connect, ensuring high availability, performance, and SLA compliance. Serve as the primary escalation point for critical incidents and complex technical challenges. Drive automation and process improvements to enhance service delivery and operational efficiency. Implement proactive monitoring, alerting, and reporting to mitigate risks and optimize service performance. Collaborate with L1/L2 engineers, security teams, and cloud architects for effective issue resolution and service enhancements. Interface with AWS Support and third-party vendors for troubleshooting and continuous service improvement. Establish and maintain Standard Operating Procedures (SOPs) and best practices for NOC operations. Support service transition planning for onboarding new customers and managing evolving operational requirements. Provide on-call support for escalations , ensuring critical issues are addressed promptly. Required Skills & Qualifications: 5+ years of experience in NOC operations, L3 support, or cloud-based contact center management . Expertise in Amazon Connect, AWS cloud services, networking, and VoIP technologies . Proficiency in incident, problem, and change management processes within an ITIL framework. Hands-on experience with automation, scripting, and Infrastructure-as-Code (IaC) . Familiarity with monitoring and observability tools (e.g., AWS CloudWatch, Splunk, Datadog). Strong troubleshooting skills in SIP, IVR flows, call routing, and cloud telephony integrations . AWS certifications (e.g., AWS Certified Advanced Networking, AWS Certified Solutions Architect) preferred. Client Service: • Provide outstanding client service, responding promptly and professionally across communication channels. • Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: • Night shifts /EST • Monday to Friday Fixed working days Benefits and compensation : Group Health insurance and other benefits. The Best working culture and growth opportunities. • Learning opportunities in leading technologies • Compensation as per Market Standard

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: Bestech Towers -Mohali( Punjab) Position: AWS Cloud Engineer Experience: Minimum 5 years of experience. Why to Join ALARIC VENTURES? Known as career builders and paymasters. Best and unbeatable benefits for the employees. Effective career and financial progression system. Most organic and friendly work environment. Plethora of success and growth stories. Position Overview: Results-driven Cloud & Solutions Architect with five years of deep technical expertise in architecting, implementing, and securing scalable, resilient cloud environments, primarily on Amazon Web Services (AWS). AWS certifications, including specialties in Security, Advanced Networking, DevOps and strategic mindset to designing high- impact cloud solutions that align with business objectives. The candidate should be passionate for continuous learning, strong foundation in cloud security, governance, and a proven ability to lead transformation initiatives across customer engagement platforms, including Amazon Connect The candidate should have technical acumen with leadership to deliver secure, customer-centric, and innovative cloud-native solutions. Core competencies: Cloud Solution Design & Architecture: Expertise in designing end-to-end cloud solutions leveraging a wide array of AWS services such as EC2, S3, VPC, Lambda, IAM, and CloudFormation. Contact Centre Modernization: Proven experience in designing and deploying intelligent customer experience solutions using Amazon Connect. Security & Compliance: Architecting secure, compliant, and well-governed environments with specialization in AWS Security practices. Infrastructure as Code & DevOps: Skilled in automating cloud infrastructure using CloudFormation and enabling CI/CD pipelines for efficient delivery. Data & Analytics: Building scalable data pipelines and insightful dashboards using Amazon QuickSight and related AWS analytics tools. Thought Leadership & Mentoring: Active contributor to the cloud community; passionate about mentoring, particularly supporting women in technology. Technical Toolkit: - Languages & Tools: Python, AWS CLI, CloudFormation, Terraform Cloud Services: Amazon Connect, EC2, S3, Lambda, RDS, IAM, VPC, SQS Architectural Models: Public Cloud, Hybrid Cloud, Serverless Computing Domains: Cloud Security, Cloud-native Application Development, Infrastructure Automation Leadership Strengths: Cross-functional collaboration, stakeholder engagement, solution evangelism, team mentoring Certifications: - AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Advanced Networking Specialty AWS Certified Security Specialty AWS Certified Database Specialty AWS Certified Solutions Architect Associate AWS Certified Developer Associate AWS Certified SysOps Administrator Associate AWS Certified Cloud Practitioner AWS Partner: Generative AI Essentials Client Service: Provide outstanding client service, responding promptly and professionally across communication channels. Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: Night shifts /EST Monday to Friday Fixed working days Benefits and compensation: Group Health insurance and other benefits. The Best working culture and growth opportunities. Learning opportunities in leading technologies Compensation as per Market Standard

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: Bestech Towers -Mohali( Punjab) Position: AWS Cloud Engineer Experience: Minimum 5 years of experience. Why to Join ALARIC VENTURES? Known as career builders and paymasters. Best and unbeatable benefits for the employees. Effective career and financial progression system. Most organic and friendly work environment. Plethora of success and growth stories. Position Overview: Results-driven Cloud & Solutions Architect with five years of deep technical expertise in architecting, implementing, and securing scalable, resilient cloud environments, primarily on Amazon Web Services (AWS). AWS certifications, including specialties in Security, Advanced Networking, DevOps and strategic mindset to designing high- impact cloud solutions that align with business objectives. The candidate should be passionate for continuous learning, strong foundation in cloud security, governance, and a proven ability to lead transformation initiatives across customer engagement platforms, including Amazon Connect The candidate should have technical acumen with leadership to deliver secure, customer-centric, and innovative cloud-native solutions. Core competencies: Cloud Solution Design & Architecture: Expertise in designing end-to-end cloud solutions leveraging a wide array of AWS services such as EC2, S3, VPC, Lambda, IAM, and CloudFormation. Contact Centre Modernization: Proven experience in designing and deploying intelligent customer experience solutions using Amazon Connect. Security & Compliance: Architecting secure, compliant, and well-governed environments with specialization in AWS Security practices. Infrastructure as Code & DevOps: Skilled in automating cloud infrastructure using CloudFormation and enabling CI/CD pipelines for efficient delivery. Data & Analytics: Building scalable data pipelines and insightful dashboards using Amazon QuickSight and related AWS analytics tools. Thought Leadership & Mentoring: Active contributor to the cloud community; passionate about mentoring, particularly supporting women in technology. Technical Toolkit: - Languages & Tools: Python, AWS CLI, CloudFormation, Terraform Cloud Services: Amazon Connect, EC2, S3, Lambda, RDS, IAM, VPC, SQS Architectural Models: Public Cloud, Hybrid Cloud, Serverless Computing Domains: Cloud Security, Cloud-native Application Development, Infrastructure Automation Leadership Strengths: Cross-functional collaboration, stakeholder engagement, solution evangelism, team mentoring Certifications: - AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Advanced Networking Specialty AWS Certified Security Specialty AWS Certified Database Specialty AWS Certified Solutions Architect Associate AWS Certified Developer Associate AWS Certified SysOps Administrator Associate AWS Certified Cloud Practitioner AWS Partner: Generative AI Essentials Client Service: Provide outstanding client service, responding promptly and professionally across communication channels. Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: Night shifts /EST Monday to Friday Fixed working days Benefits and compensation: Group Health insurance and other benefits. The Best working culture and growth opportunities. Learning opportunities in leading technologies Compensation as per Market Standard

Role & responsibilities Design and develop end-to-end contact center solutions using Salesforce and Amazon Connect. Collaborate with business stakeholders to understand their contact center requirements and translate them into technical solutions. Lead the architecture and design of complex contact center systems, ensuring they meet business needs and align with industry best practices. Provide technical leadership and guidance to development teams throughout the project lifecycle. Ensure the scalability, security, and performance of contact center solutions. Stay updated with the latest trends and technologies in Salesforce, Amazon Connect and contact center solutions Preferred candidate profile Extensive experience with Salesforce and Amazon Connect. Strong understanding of cloud computing, data integration, and API management. Proven experience in using Agile approach for development with frequent sprints for business benefits realization. Experience in leading the design and/or development of solutions with a virtual team in remote locations. Strong appreciation and proven achievement in selecting appropriate tools for platform delivery. Proficiency in Salesforce development and customization (Apex, Visualforce, Lightning Components). Expertise in Amazon Connect configuration and integration. Expertise in configuring and maintaining Amazon Connect contact center environments. Experience to Develop and implement call flows, routing strategies, and IVR configurations. Handson in development and implementation of call flows, routing strategies, and IVR configurations. Integrate Amazon Connect with AWS services such as Lambda, RDS, DynamoDB, S3, Polly, CloudWatch, Lex, GenAI services like Bedrock , Sage maker etc.. Troubleshoot and resolve issues related to Amazon Connect, telephony, and system integrations. Can assist in scripting and automation to improve system efficiency. Work with business stakeholders to understand requirements and deliver technical solutions. Familiarity with and enthusiasm for DevOps, CI/CD, and SRE best practices Familiarity with API management and development (REST, SOAP, GraphQL). Excellent communication and presentation skills, able to engage conversations at all levels of senior management

Key Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Required Skills and Qualifications: Bachelors or master’s degree in computer science, Data Science, AI/ML, or a related field. 3+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect AWS Bedrock experience with Sage maker will have added advantage Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills in English, both written and verbal. Preferred Qualifications: Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector.

We seek a highly skilled Salesforce Integration Developer to design, build, and support complex integrations with the Salesforce Platform. The Integration Developer will create robust, scalable data and application interfaces between Salesforce and AWS Connect Contact Center, Lex Chatbots, and other systems. This critical role requires hands-on Salesforce integration architecture experience, expert-level coding abilities, and consistently delivering high-quality solutions. Responsibilities: Define and architect enterprise application integration methodology and patterns leveraging Salesforce Lead development of real-time, API-based interfaces using tools like Mulesoft, Jitterbit, Dell Boomi Create secure, fault-tolerant interfaces robust enough for high transaction volumes Produce technically advanced but user-friendly integration solutions on-time and on-budget Guide developers and administrators on standards for infrastructure, DevOps, and CI/CD Troubleshoot mission-critical production issues across integrated components Drive automation testing strategy and implementation for integrations Support transition plans from development through to sustained production operations Required Skillset: 5+ years of hands-on Salesforce API integration development experience Highly proficient with inbound/outbound REST API and SOAP web services Expertise in mapping complex data models across integrated systems Experience coding bespoke apps, components, and triggers using Apex and Visualforce Managed end-to-end delivery lifecycles for multi-party integration projects Passion for translating business needs into pioneering technical solutions Location : India (Remote) Work Timings : 2:30 PM - 11:30 PM

• 8+ years of experience in Contact Center technology • Solution design and implementation experience in Genesys Contact Center • At least one year experience in Genesys Cloud Contact Center

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Requirements: Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field. 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services. Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect. AWS Bedrock experience with Sage maker will have added advantage. Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills, both written and verbal. Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Requirements: Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field. 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services. Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect. AWS Bedrock experience with Sage maker will have added advantage. Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills, both written and verbal. Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.

Amazon Connect Tech Lead with 6 -8 years experience. Experience with Amazon Connect (Contact flows, queues, routing profile, agent hierarchies) Integration experience with Salesforce (Service Cloud Voice) Hands-on with AWS services AWS Lambda (for backend logic) Programming language Java or Python Amazon Lex (Voice/chat bots) CloudWatch IAM Proficiency in programming scripting Java Script, Nodejs Familiarity with CICD pipelines DevOps and infrastructure as code Terraform CloudFormation Solid experience in REST APIs and integration frameworks. Experience working in Agile Scrum environments Experience in Automating deployments of contact center setup using CI/CD pipelines or Terraform

Role & responsibilities Teqfocus is seeking a highly skilled Senior AWS Engineer to join our growing cloud engineering team. This role requires a deep understanding of AWS services , strong experience in API integrations, virtual machine (VM) orchestration, and expertise in AWS Connect . The ideal candidate will have a strong development background and a passion for scalable, automated cloud solutions. Preferred candidate profile Education : Bachelors degree in Computer Science, Information Technology, or a related field. Experience : 6+ years of experience in cloud infrastructure and solutions engineering, with a strong focus on AWS. Technical Skills : RESTful API development and integration Amazon Connect (flows, queues, routing, Contact Lens) AWS services: EC2, Lambda, IAM, CloudWatch, S3, CloudFormation Proficiency in scripting for automation and orchestration (Python, Node.js, or Shell) Version control with Git Familiarity with Agile development methodologies Communication : Excellent written and verbal communication skills Certifications (Preferred) : AWS Certified Solutions Architect Associate/Professional AWS Certified DevOps Engineer AWS Certified Advanced Networking or Security Specialty Let me know if you'd like this adapted for a resume, job description, or LinkedIn post.

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: Bestech Towers -Mohali( Punjab) Position: AWS Cloud Engineer Experience: Minimum 5 years of experience. Why to Join ALARIC VENTURES? Known as career builders and paymasters. Best and unbeatable benefits for the employees. Effective career and financial progression system. Most organic and friendly work environment. Plethora of success and growth stories. Position Overview: Results-driven Cloud & Solutions Architect with five years of deep technical expertise in architecting, implementing, and securing scalable, resilient cloud environments, primarily on Amazon Web Services (AWS). AWS certifications, including specialties in Security, Advanced Networking, DevOps and strategic mindset to designing high- impact cloud solutions that align with business objectives. The candidate should be passionate for continuous learning, strong foundation in cloud security, governance, and a proven ability to lead transformation initiatives across customer engagement platforms, including Amazon Connect The candidate should have technical acumen with leadership to deliver secure, customer-centric, and innovative cloud-native solutions. Core competencies: Cloud Solution Design & Architecture: Expertise in designing end-to-end cloud solutions leveraging a wide array of AWS services such as EC2, S3, VPC, Lambda, IAM, and CloudFormation. Contact Centre Modernization: Proven experience in designing and deploying intelligent customer experience solutions using Amazon Connect. Security & Compliance: Architecting secure, compliant, and well-governed environments with specialization in AWS Security practices. Infrastructure as Code & DevOps: Skilled in automating cloud infrastructure using CloudFormation and enabling CI/CD pipelines for efficient delivery. Data & Analytics: Building scalable data pipelines and insightful dashboards using Amazon QuickSight and related AWS analytics tools. Thought Leadership & Mentoring: Active contributor to the cloud community; passionate about mentoring, particularly supporting women in technology. Technical Toolkit: - Languages & Tools: Python, AWS CLI, CloudFormation, Terraform Cloud Services: Amazon Connect, EC2, S3, Lambda, RDS, IAM, VPC, SQS Architectural Models: Public Cloud, Hybrid Cloud, Serverless Computing Domains: Cloud Security, Cloud-native Application Development, Infrastructure Automation Leadership Strengths: Cross-functional collaboration, stakeholder engagement, solution evangelism, team mentoring Certifications: - AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Advanced Networking Specialty AWS Certified Security Specialty AWS Certified Database Specialty AWS Certified Solutions Architect Associate AWS Certified Developer Associate AWS Certified SysOps Administrator Associate AWS Certified Cloud Practitioner AWS Partner: Generative AI Essentials Client Service: Provide outstanding client service, responding promptly and professionally across communication channels. Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: Night shifts /EST Monday to Friday Fixed working days Benefits and compensation: Group Health insurance and other benefits. The Best working culture and growth opportunities. Learning opportunities in leading technologies Compensation as per Market Standard