AWS Pre-Sales Solution Consultant Location: Bangalore, Mumbai, Pune, Delhi, Chennai, and Hyderabad Experience: 2 - 6 Years Role Overview We are looking for an experienced AWS Pre-Sales Solution Consultant to support enterprise cloud sales by designing technical solutions, developing winning proposals, and advising customers on cloud transformation strategies. This role serves as the bridge between Sales, Solution Architecture, and Delivery teams, helping customers realize business value through AWS. The ideal candidate combines strong AWS technical expertise with commercial acumen and excellent customer engagement skills. Key Responsibilities Lead technical pre-sales engagements including discovery workshops, customer presentations, and solution discussions. Develop solution proposals for: Cloud migration Modernization Managed services AI/ML Generative AI initiatives Prepare customer proposals, RFP/RFI responses, Statements of Work (SOW), Bills of Materials (BoM), and financial business cases. Build Total Cost of Ownership (TCO), ROI, and cloud adoption business cases. Collaborate with AWS teams on co-sell opportunities, funding programs, and joint go-to-market initiatives. Manage the complete technical bid lifecycle from qualification to commercial closure. Conduct competitive positioning against Azure, GCP, and other cloud platforms. Develop reusable proposal assets, solution playbooks, and sales enablement material. Monitor deal pipeline, win/loss trends, and technical success metrics. Required Technical Skills AWS Technologies: Compute, Storage, Networking, Security Cloud Migration Tools AWS Pricing Models Migration Funding Programs Managed Services Amazon Bedrock Amazon SageMaker Amazon Q Cloud & Modernization: Cloud Migration VMware Modernization Kubernetes DevOps Modern Application Architecture Infrastructure Automation Commercial & Pre-Sales: RFP/RFI Response Proposal Development TCO & ROI Modelling Pricing Strategy Commercial Structuring Executive Presentations Experience Required 2 - 6 years in Cloud Pre-Sales, Solution Consulting, or Cloud Architecture. Minimum 2 years working with AWS. AWS Solutions Architect – Associate Certification (Mandatory). Experience supporting enterprise cloud transformation opportunities. Strong proposal writing and executive communication skills. Ability to influence technical and commercial decision-making. Preferred Qualifications AWS Solutions Architect – Professional. Experience with AWS Marketplace and Partner Programs. Exposure to Azure and GCP. Consulting or customer-facing experience. Experience with enterprise managed services and cloud modernization. Core Competencies Technical Solution Consulting Enterprise Cloud Architecture Business Case Development Customer Advisory Executive Communication Proposal & Bid Management AWS Partner Collaboration Strategic Solution Selling Key Projects Enterprise Cloud Transformation AWS Migration & Modernization Managed Services AI/ML & Generative AI Solutions Cloud Cost Optimization Cloud Adoption Roadmaps Multi-Cloud Assessments Digital Transformation Programs

Business Manager – AWS Migration & Modernization Location: Bangalore Experience: 8–14 Years Role Overview We are looking for a commercially driven Business Manager to lead the growth of AWS Migration & Modernization services. This is a hunter-farmer role focused on acquiring new enterprise customers while expanding existing accounts by driving cloud migration and modernization initiatives. The ideal candidate will work closely with AWS teams, Solution Architects, Pre-Sales, and Delivery teams to build and close migration opportunities, helping organizations transition from on-premises or multi-cloud environments to AWS. Key Responsibilities Business Development & Sales Own revenue targets for AWS Migration & Modernization services. Identify and acquire enterprise customers with cloud migration opportunities. Drive the complete sales lifecycle: Lead generation and qualification Proposal development Commercial negotiation Deal closure Build and manage a strong pipeline of enterprise migration opportunities. Develop compelling commercial proposals, including: Total Cost of Ownership (TCO) analysis Return on Investment (ROI) business cases AWS pricing models Migration funding opportunities AWS Partner Engagement Collaborate with AWS account teams and partner ecosystem to generate and accelerate opportunities. Leverage AWS migration programs, funding initiatives, and co-sell opportunities to strengthen customer proposals. Maintain pipeline visibility and support joint go-to-market initiatives. Coordinate technical validation and executive engagement with AWS stakeholders. Customer & Stakeholder Management Build relationships with CXOs, IT Leaders, Cloud Centers of Excellence, and business stakeholders. Conduct discovery workshops, migration assessments, cloud readiness evaluations, and executive presentations. Manage customer relationships throughout the engagement lifecycle, ensuring long-term growth and account expansion. Practice Development Work with Delivery and Pre-Sales teams to create reusable migration playbooks, proposal templates, and solution accelerators. Track market trends in cloud migration, modernization, FinOps, AI, and cloud transformation. Represent the organization at customer meetings, cloud events, and industry forums. Required Qualifications 8–14 years of experience in IT Services Sales, Cloud Sales, or Business Development. Minimum 3–4 years of experience selling cloud migration or managed cloud services. Proven success in closing enterprise cloud transformation and migration engagements. Strong understanding of AWS infrastructure services, migration tools, and modernization frameworks. Experience with AWS commercial programs, pricing models, funding mechanisms, and partner ecosystem. Ability to present business cases, TCO, ROI analysis, and migration strategies to executive stakeholders. Good understanding of Azure and GCP to position AWS migration opportunities effectively. Excellent consultative selling, negotiation, and executive communication skills. Preferred Qualifications AWS Certified Cloud Practitioner or Solutions Architect. Experience working with AWS Consulting or Technology Partners. Knowledge of FinOps, cloud cost optimization, and commercial governance. Exposure to migration programs across BFSI, Retail, Manufacturing, Technology, or other enterprise sectors. Core Competencies Enterprise Cloud Sales AWS Migration & Modernization Business Development & Pipeline Management Executive Stakeholder Management Consultative Selling Commercial Negotiation & Deal Structuring AWS Partner & Alliance Management Cloud Transformation Strategy Key Projects Enterprise Cloud Migration Programs Application Modernization Initiatives Data Center Migration & Cloud Adoption Multi-Cloud to AWS Migration Cloud Cost Optimization & FinOps Migration Assessments & Readiness Workshops Large Enterprise Digital Transformation Programs AWS Co-Sell & Migration Funding Initiatives

AWS Business Manager – Platforms & Managed Services Location: Bangalore Experience: 10–15 Years Role Overview We are seeking an experienced AWS Business Manager to drive the growth of AWS cloud platforms and managed services. This is a client-facing, revenue-generating role focused on building strategic customer relationships, identifying new business opportunities, and expanding cloud transformation engagements. The ideal candidate combines strong AWS ecosystem knowledge with consultative enterprise sales experience and a proven track record of delivering revenue growth. Key Responsibilities Business Development & Sales Drive end-to-end sales of AWS cloud platforms, managed services, and digital transformation solutions. Develop and execute go-to-market strategies to achieve quarterly and annual revenue targets. Identify, qualify, and close new enterprise and mid-market opportunities. Build and manage a healthy sales pipeline with accurate forecasting. Customer Engagement Partner with CXOs and IT decision-makers to define cloud transformation strategies. Conduct discovery workshops, business value assessments, and executive presentations. Structure and negotiate enterprise cloud, managed services, and commercial agreements. Drive account growth through upselling, cross-selling, and long-term customer relationships. AWS Ecosystem Management Collaborate with AWS Partner Development Managers, Account Managers, and channel partners. Leverage AWS partner programs, migration initiatives, and co-sell opportunities to maximize business growth. Stay updated on AWS services, pricing models, and competitive market trends. Solution Selling Position AWS managed services including cloud operations, DevOps, security, FinOps, cost optimization, and 24x7 support. Present value-driven solutions across compute, storage, databases, analytics, AI/ML, serverless, and modern application platforms. Work closely with Solution Architects and Pre-Sales teams to develop customized proposals and Statements of Work (SOWs). Business Strategy & Leadership Contribute to business growth strategy and market expansion initiatives. Provide customer insights and competitive intelligence to internal stakeholders. Mentor junior sales professionals and support business development initiatives. Represent the organization at customer meetings, partner events, and industry conferences. Required Qualifications 10–15 years of experience in IT, Cloud, or Digital Transformation sales. Minimum 5 years of experience selling AWS cloud services or managed services. Strong record of achieving enterprise sales and revenue targets. Deep understanding of AWS services, commercial models, pricing structures, and partner ecosystem. Excellent consultative selling, negotiation, and executive stakeholder management skills. Strong network within enterprise accounts and cloud ecosystem. Preferred Qualifications AWS Certifications (Cloud Practitioner, Solutions Architect, or Business Professional). Experience working with AWS Marketplace and partner channels. Knowledge of ITIL, Managed Services, and FinOps. Experience working with AWS Consulting or Technology Partners. Core Competencies Strategic Business Development Enterprise Sales & Account Management Executive Relationship Management Cloud & Digital Transformation Consulting Commercial Negotiation & Deal Structuring Revenue Growth & Pipeline Management Cross-functional Collaboration Customer Success & Value Selling What You'll Work On Enterprise Cloud Transformation Programs AWS Managed Services Migration & Modernization Initiatives Cloud Cost Optimization & FinOps AI/ML and Data Platform Opportunities DevOps & Cloud Operations Strategic Enterprise Accounts Long-term Customer Growth & Expansion

AWS AI Architect Location In office – 5 days work from office / Bangalore Experience Range 10 to 12 years Competency Area AWS AI / ML / GenAI Role Summary The AWS AI Architect will design enterprise AI, ML, and GenAI architectures using Bedrock, SageMaker, RAG, agentic AI, foundation models, and vector database patterns. Key Responsibilities Define AI / ML / GenAI architecture and reference patterns. Design RAG, model orchestration, evaluation, and integration approaches. Guide model selection, data readiness, security, and responsible AI principles. Lead discovery, solution planning, and architecture reviews. Provide technical leadership to AI leads and engineers. Specific Expertise Required Primary Skills Amazon Bedrock Amazon SageMaker AI architecture RAG Foundation models Model evaluation Ability to technically orient and handhold teams of 10-15 people Secondary Skills Vector databases LangChain / LlamaIndex MLOps Responsible AI guardrails Architecture governance Technical / Functional Skills Amazon Bedrock, SageMaker, foundation models, and AWS AI services RAG, embeddings, vector databases, and AI orchestration frameworks MLOps, model monitoring, guardrails, and evaluation approaches Architecture governance, security, and stakeholder consulting Preferred Certifications AWS Certified AI Practitioner AWS Certified Machine Learning Engineer - Associate AWS Certified Solutions Architect - Associate AWS Certified Solutions Architect - Professional Expected Deliverables AI / GenAI reference architecture Solution blueprint and architecture decisions Model evaluation and responsible AI guidance Implementation roadmap Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering, or related discipline Hands-on delivery experience aligned to the stated experience range and role scope Good to Have AWS certification or active AWS certification plan Experience in reusable assets, accelerators, cloud competency building, customer workshops, or proposal support

AWS Technical Lead Location In office 5 days’ work from office / Bangalore Experience Range 6 to 8 years Competency Area AWS Application team Role Summary The AWS Technical Lead will lead development teams, define coding and CI/CD practices, coordinate with architecture and DevOps teams, and ensure technical delivery quality. Key Responsibilities Lead developers through design, build, code reviews, testing, and release readiness. Define coding standards, branching practices, and CI/CD expectations. Coordinate with architects, DevOps, QA, security, and business stakeholders. Track technical risks, dependencies, and quality issues. Ensure components are secure, maintainable, and documented. Specific Expertise Required Primary Skills AWS application development Microservices REST APIs CI/CD Code reviews Agile delivery Secondary Skills Lambda API Gateway ECS / EKS DynamoDB / RDS Security standards Technical / Functional Skills AWS application development with Lambda, API Gateway, ECS / EKS or managed services Java, .NET, Node.js, Python or relevant enterprise stack REST APIs, microservices, and integration patterns CI/CD, Git, automated testing, and code quality practices Preferred Certifications AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate AWS Certified DevOps Engineer - Professional Expected Deliverables Implementation plan Code review and quality records Release readiness checklist Technical risk tracker Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering or related discipline. Hands-on delivery experience aligned to the stated experience range and role scope. Good to Have AWS certification or active AWS certification plan. Experience in reusable assets, accelerators, cloud competency building, customer workshops, or proposal support.

AWS Gen AI Engineer Location In office 5 days work from office / Bangalore Experience Range 4 to 6 years Competency Area AWS AI / ML / GenAI Role Summary The AWS Gen AI Engineer will build AI-powered applications, RAG workflows, prompt frameworks, Bedrock integrations, and reusable GenAI accelerators. Key Responsibilities Build GenAI application components and integrations. Implement RAG pipelines, embeddings, and knowledge retrieval workflows. Develop prompts, evaluation logic, guardrails, and response quality checks. Integrate Amazon Bedrock and foundation models with business applications. Create reusable GenAI templates and accelerators. Specific Expertise Required Primary Skills Amazon Bedrock RAG Prompt engineering Python Embeddings Model evaluation Secondary Skills Vector stores Semantic search Lambda Step Functions API integration Technical / Functional Skills Amazon Bedrock, foundation models, embeddings, and RAG Prompt engineering, evaluation, guardrails, and response-quality checks Python, API development, Lambda, and Step Functions basics Vector stores, semantic search, and orchestration frameworks Preferred Certifications AWS Certified AI Practitioner AWS Certified Machine Learning Engineer - Associate AWS Certified Solutions Architect - Associate AWS Certified Developer - Associate Expected Deliverables GenAI application components RAG pipelines and prompt templates Evaluation and guardrail documentation Reusable GenAI accelerators Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering, or related discipline. Hands-on delivery experience aligned to the stated experience range and role scope. Good to Have AWS certification or active AWS certification plan. Experience in reusable assets, accelerators, cloud competency building, customer workshops, or proposal support.

AWS Data Lead Location In office - 5 days / Bangalore Experience Range 6 to 10 years Competency Area AWS Data & Analytics Role Summary The AWS Data Lead will lead the design and delivery of AWS data engineering and analytics solutions, guide data engineers and analytics engineers, and ensure that data platforms are scalable, secure, governed, reliable, and aligned to business outcomes. The role bridges architecture and hands-on delivery across data ingestion, transformation, storage, analytics, governance, operational readiness, and AI / GenAI data foundations. Job Role & Responsibilities Lead discovery sessions and translate business, analytics, and AI requirements into an executable AWS data platform backlog. Own technical delivery of data ingestion, ETL / ELT, data lake, warehouse, analytics, and streaming workstreams. Define solution standards for pipeline design, data modeling, coding, testing, orchestration, monitoring, and deployment. Guide and mentor data engineers and analytics engineers through design reviews, code reviews, and production-readiness checkpoints. Collaborate with the AWS Data Architect on target architecture, service selection, scalability, resilience, security, and cost optimization. Establish data quality rules, reconciliation controls, metadata, cataloging, lineage, and governance practices. Coordinate with AI / ML and GenAI teams to prepare trusted datasets, feature pipelines, knowledge repositories, and RAG-ready data assets. Manage technical risks, dependencies, defects, performance issues, and production incidents through root-cause analysis and corrective actions. Support estimations, proposals, proof-of-concepts, customer demonstrations, and reusable AWS data accelerators when required. Ensure documentation, knowledge transfer, and operational handover are complete for each release. Specific Expertise Required Should have worked on at least 1 project on AWS data migration. Should have AWS certification relevant to the role. Should be hands-on with ETL, Reporting, and Pipelines. Should be able to propose/use solutions, approaches, and required tools for AWS data migration. Required Primary Skills AWS data platform delivery using Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, and AWS Lake Formation. Strong SQL, Python, and PySpark skills for data ingestion, transformation, validation, and optimization. ETL / ELT pipeline design, data lake and lakehouse implementation, data warehousing, and dimensional modeling. Technical leadership for data engineering teams, solution reviews, sprint planning, and delivery governance. Data quality, metadata, lineage, cataloging, security, privacy, and access-control implementation. Secondary Skills Amazon EMR, Amazon Kinesis, AWS DMS, AWS DataSync, and Amazon OpenSearch. Streaming and event-driven data processing using Kinesis, Kafka, or equivalent technologies. Infrastructure as Code using Terraform or AWS CloudFormation and CI/CD for data workloads. Amazon QuickSight, Power BI, or Tableau integration for analytics consumption. AI / GenAI data foundations including feature stores, embeddings, vector-ready datasets, and RAG data pipelines. Technical / Functional Skills AWS services: Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, AWS Lake Formation, Amazon Kinesis, AWS DMS, AWS DataSync, and Amazon OpenSearch. Programming and data processing: SQL, Python, PySpark, Apache Spark, shell scripting, and Scala as an advantage. Data architecture: data lakes, lakehouse patterns, enterprise data warehouses, batch and streaming pipelines, CDC, data marts, and semantic layers. Databases: Amazon RDS, Aurora, DynamoDB, PostgreSQL, MySQL, and NoSQL platforms. Engineering practices: Git, CI/CD, automated testing, monitoring, logging, performance tuning, cost optimization, and operational support. Governance and security: IAM, encryption, Lake Formation permissions, data classification, lineage, auditability, and compliance controls. Preferred Certifications AWS Certified Data Engineer - Associate. Databricks Data Engineer certification or equivalent data-platform certification (desirable). Expected Deliverables AWS data solution design and delivery plan. Data ingestion, ETL / ELT, streaming, and orchestration pipelines. Curated data lake, lakehouse, warehouse, and analytics-ready datasets. Data models, interface specifications, mappings, and transformation rules. Data quality, reconciliation, lineage, security, and governance documentation. Code-review records, test evidence, performance tuning results, and release-readiness checklist. Monitoring dashboards, operational runbooks, incident RCA, and handover documentation. Reusable templates, reference patterns, accelerators, and lessons learned for the AWS competency. Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Data Engineering, Analytics, or a related discipline. 6 to 10 years of overall experience in data engineering or analytics, including hands-on AWS data-platform delivery and team leadership responsibilities. Demonstrated experience delivering production-grade data pipelines, data lakes, warehouses, or analytics platforms. Good to Have Experience with migration from on-premises, Azure, GCP, Hadoop, Snowflake, or legacy warehouse platforms to AWS. Exposure to AWS Well-Architected reviews, FinOps, data mesh, lakehouse, and domain-oriented data-product practices. Experience building data foundations for SageMaker, Bedrock, recommendation systems, predictive analytics, or GenAI / RAG use cases. Customer-facing consulting experience across discovery workshops, architecture reviews, estimations, proposals, and technical presentations. Experience creating competency assets such as reference architectures, playbooks, reusable frameworks, and proof-of-concepts.

AWS Data Architect Job Role & Responsibilities Define enterprise data platform architecture on AWS using Redshift, Glue, EMR, Athena, Lake Formation, and S3. Work on AWS data migration projects. Propose and utilize solutions, approaches, and required tools for AWS data migration. Orient and handhold teams of 10-15 people. Design AWS data lake, data warehouse, and analytics architectures. Define ingestion, transformation, governance, consumption, and security patterns. Guide data engineers and analytics engineers on implementation standards. Establish data quality, lineage, cataloging, and access control designs. Support workshops, architecture reviews, estimation, and solution governance. Specific Expertise Required Primary Skills Amazon Redshift AWS Glue Amazon S3 Athena Lake Formation Data architecture AWS Data migration ETL, Reporting Secondary Skills EMR Data modeling Data quality Power BI / QuickSight Data governance Technical / Functional Skills Redshift, Glue, EMR, Athena, Lake Formation, and S3 SQL, PySpark, Python, and distributed data processing concepts Data lake, data warehouse, and lakehouse architecture Data governance, cataloging, lineage, quality, and security Preferred Certifications AWS Certified Data Engineer - Associate AWS Certified Solutions Architect - Associate AWS Certified Solutions Architect - Professional Expected Deliverables Data platform reference architecture Logical and physical data architecture Data governance and security model Architecture review documentation Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering, or related discipline. Hands-on delivery experience aligned to the stated experience range and role scope. Good to Have AWS certification or active AWS certification plan. Any other cloud experiences will be an added advantage. Experience in reusable assets, accelerators, cloud competency building, customer workshops, or proposal support.

AWS Application Architect Job Role & Responsibilities Define AWS application architecture and design patterns. Design microservices, APIs, serverless, and event-driven architecture. Review security, reliability, scalability, and performance requirements. Guide modernization of legacy applications into AWS-native designs. Support technical leads and developers through design reviews. Manage a team of 10-15 people. Specific Expertise Required Primary Skills: AWS Lambda API Gateway Microservices REST APIs EventBridge ECS / EKS Secondary Skills: SQS / SNS Step Functions DynamoDB / RDS OAuth / IAM CI/CD design Technical / Functional Skills AWS Lambda, API Gateway, ECS / EKS, EventBridge, SQS, SNS, and Step Functions Microservices, REST APIs, serverless, and event-driven architecture Application modernization, domain decomposition, and integration patterns Security, resilience, performance, and observability design Preferred Certifications AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate AWS Certified Solutions Architect - Professional Expected Deliverables Application architecture blueprint API and microservices design documents Modernization roadmap Architecture review records Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering, or related discipline. Hands-on delivery experience aligned to the stated experience range and role scope. Good to Have AWS certification or active AWS certification plan. Experience in reusable assets, accelerators, cloud competency building, customer workshops, or proposal support.

AWS AIML Engineer Location In office 5 days’ work from office / Bangalore Experience Range 2 to 5 years Competency Area AWS AI / ML / GenAI Role Summary The AWS AIML Engineer will develop predictive models, machine learning workflows, SageMaker / Bedrock solution components, and production-ready AI services. Key Responsibilities Develop ML models for prediction, classification, recommendation, and analytics use cases. Build feature engineering, training, evaluation, and deployment workflows. Implement SageMaker and Bedrock-based components. Deploy AI models and support monitoring and improvement. Collaborate with data, AI architecture, and application teams. Specific Expertise Required Primary Skills SageMaker Bedrock Python Feature engineering Model evaluation ML algorithms Secondary Skills PyTorch / TensorFlow / scikit-learn MLOps Model monitoring CI/CD basics Technical / Functional Skills Amazon SageMaker, Bedrock, feature engineering, and model deployment Python, scikit-learn, XGBoost, PyTorch, or TensorFlow SQL, data preparation, and model evaluation MLOps concepts, model monitoring, and CI/CD basics Preferred Certifications AWS Certified AI Practitioner AWS Certified Machine Learning Engineer - Associate AWS Certified Solutions Architect - Associate Expected Deliverables ML models and training pipelines Model evaluation reports Deployment and monitoring artifacts AI solution handover documentation Qualification B.E. / B.Tech / M.Tech / MCA or equivalent degree in Computer Science, Information Technology, Engineering, or related discipline. Hands-on delivery experience aligned to the stated experience range and role scope. Good to Have AWS certification or active AWS certification plan. Experience in reusable assets, accelerators, cloud competency building, customer workshops, or proposal support.