Cloud Solutions Architect (Remote | Upto 30LPA)

Job Description: AWS Certified Solutions Architect
Location: Remote
Experience Level: Senior (7+ Years)
About the company
DataSleek is a leading contact centre solutions provider. We cater to businesses with actionable intelligence that enhances customer interactions. It helps organisations focus on data-driven decision-making, find room for better customer interactions, and a multitude of loyal customers is the icing on cake.
Our services and solutions help businesses in significant cost-cutting in many ways. We promote usage-based billing model which makes clients pay only for the volume of subscription which they can upscale and downscale based on their fluctuating call volumes. Integration of AI, ML, and NLP helps businesses to reduce workforce, and it also enables remote working without compromising with the quality.
About the Role
We thrive on turning complex data challenges into elegant, scalable solutions. We are looking for a high-calibre AWS Solutions Architect who bridges deep backend engineering and high-level cloud architecture.
In this role, you will design and oversee the implementation of enterprise-grade backends, ensuring they are resilient, secure, and future-proof. You will also lead our charge into the next frontier of technology: Generative AI and Agentic AI workflows.
Key Responsibilities
Architectural Leadership: Design end-to-end backend architectures for enterprise applications, focusing on scalability, security, and high availability.
Cloud Infrastructure: Build and optimise serverless, containerized, and Amazon Connect environments using AWS best practices.
Data Modelling: Design robust schemas for both SQL and NoSQL databases, ensuring optimal performance for data-heavy applications.
AI Innovation: Develop and integrate Gen AI and Agentic AI solutions, utilizing the Model Context Protocol (MCP) to enhance chatbot, voice bot, and Amazon Connect intelligence.
Network Design: Configure VPCs, subnets, and connectivity strategies to ensure secure and efficient data flow.
Technical Requirements:
Backend Engineering (5+ Years)
Extensive hands-on experience in at least one of the following: Python, Java, or Node.js.
Proven track record of building production-ready, distributed backend systems.
Amazon Connect & Contact Center Engineering (Mandatory)
Amazon Connect Expertise: Extensive hands-on experience designing, deploying, and managing enterprise Amazon Connect instances.
CX Integration: Deep technical proficiency integrating Amazon Connect with AWS Lambda, CRM platforms (e.g., Salesforce), and databases.
Bots & Conversational AI: Hands-on experience building and deploying interactive voice response (IVR) flows, chatbots, and voice bots using Amazon Lex.
Deep expertise in core AWS services: Amazon Connect, Lambda, API Gateway, S3, and Kinesis.
Strong background in Solution Architecture, specifically designing backends for enterprise-scale environments.
Solid understanding of cloud networking (VPC, Route53, CloudFront).
Data & Modern Tech Stack
Databases: Proficiency in SQL (PostgreSQL/MySQL) and NoSQL (DynamoDB/MongoDB).
AI/ML: Direct experience with Generative AI frameworks, Agentic AI architectures, and MCP.
Nice to Have
Certifications: AWS Certified Solutions Architect – Associate or Professional.
Domain Expertise: Experience in the CX (Customer Experience) space, including Contact Centers, Chatbots, or Voice Bots.
DevOps: Familiarity with IaC tools like Terraform or AWS CDK.
What We’re Looking For
The Bridge: Someone who can talk "big picture" with stakeholders and "code" with developers.
The Problem Solver: You don’t just find bugs; you find architectural flaws and fix them at the root.
The AI Enthusiast: You are actively following the evolution of LLMs and Agentic workflows.

Work arrangement
No