Executive Search & Recruitment Mandate Fulfilment in Gurgaon

Tech Lead Location: Gurgaon / Noida Experience: 7+ years Employment Type: Full-time Reports To: Founders Role Overview We are looking for a hands-on Tech Lead to own the architecture and technical delivery of a multi-tenant SaaS platform. The role requires strong system-design capability, pragmatic technical decision-making, and the ability to lead a small engineering team while remaining actively involved in production code. Key Responsibilities Own technical architecture across the multi-tenant platform, APIs, integration framework, operational database, intelligence services, and customer-facing applications. Define architecture standards for: Tenant isolation Authorization Security Auditability Observability Reliability Data retention Deployment Establish engineering practices across: Code reviews Testing Environments Releases Incident response Architecture documentation Make technical decisions around: APIs Asynchronous/event-driven processing Data stores Queues Cloud services Monitoring Work closely with AI, backend, and integration engineers to ensure seamless platform operations. Lead technical-risk and release-readiness reviews. Recruit, mentor, and guide a small, high-performing engineering team. Remain hands-on with architecture, code reviews, and production development. Required Skills & Experience 7+ years of software engineering experience, including 2+ years in architecture ownership or technical leadership. Strong backend/platform engineering experience with multi-tenant SaaS, APIs, data-intensive, or integration-heavy systems. Hands-on knowledge of: Security and authentication/authorization Asynchronous processing Observability and monitoring Production service operations Strong system-design and architecture skills. Ability to manage complex, ambiguous technical problems and prioritize delivery effectively. Strong communication skills and willingness to write, review, and own production code. Preferred Experience Exposure to any of the following would be advantageous: Graph databases Event-driven architectures AI/ML systems in production ERP/WMS integrations Supply chain software Cloud-native platforms Candidates with a GitHub profile, technical portfolio, architecture document, or relevant technical work sample may share it as part of their application.

Integration Engineer Location: Gurgaon Experience: 2+ years Employment Type: Full-time Reports To: Tech Lead Role Overview We are looking for an Integration Engineer to build and manage integrations between customer ERP/WMS systems and a supply chain intelligence platform. The role will focus on creating reliable connectors, data mappings, validation routines, and scalable integration workflows. Key Responsibilities Build and maintain reusable connectors for ERP, accounting, and WMS platforms. Work with systems such as Tally/TallyPrime, ERPNext, Zoho Inventory, and WMS platforms. Map source masters and transactions including: SKUs Warehouses Inventory Orders GRNs Transfers Batches Movements Implement integrations using APIs, webhooks, polling, and file-based ingestion. Handle incremental sync, retries, idempotency, conflict resolution, rate limits, and secure credential management. Develop validation and reconciliation routines for master and transactional data. Monitor connector health, sync status, errors, failed records, and data freshness. Maintain integration documentation, mappings, edge cases, and operational runbooks. Support discovery, mapping workshops, test loads, UAT, cutover, and customer onboarding. Required Skills & Experience 2+ years of experience in Integration Engineering, Data Engineering, ETL/ELT, Implementation Engineering, or ERP/WMS integration. Strong SQL and data-mapping fundamentals. Understanding of data lineage, entity resolution, and reconciliation. Hands-on experience with REST/SOAP APIs, webhooks, CSV/Excel feeds, authentication mechanisms, and scheduled/incremental synchronization. Ability to troubleshoot complex or inconsistent source data. Experience working with customer IT and Operations teams. Working knowledge of Python, JavaScript/TypeScript, or another scripting language. Strong documentation and problem-solving skills. Preferred Experience Exposure to any of the following would be an advantage: Tally / TallyPrime Busy Zoho ERPNext WMS platforms GST / e-invoicing Supply chain operations Queues / streams Cloud data services Candidates with a GitHub profile, technical portfolio, connector/data-mapping project, or relevant work sample may share it as part of their application.

AI Engineer Location: Gurgaon / Noida Experience: 0–2 years Employment Type: Full-time Reports To: Tech Lead Role Overview We are looking for an AI Engineer to build the intelligence and conversational layer of a supply chain technology platform. The role involves developing trusted answers, alerts, recommendations, and workflows using a combination of deterministic logic, statistical models, and Large Language Models. Key Responsibilities Contribute to and evolve the product’s agentic AI architecture. Build AI capabilities that convert operational data into reliable answers, alerts, recommendations, and workflows. Work closely with data science and engineering teams to develop explainable and dependable AI services. Build conversational experiences across web and messaging platforms. Establish practices around AI evaluation, observability, testing, and continuous improvement. Determine the right use of deterministic logic, statistical models, and Generative AI for different product requirements. Build production-ready APIs, data pipelines, and AI services. Specific Expertise Required 0–2 years of experience or strong hands-on exposure in AI/ML Engineering, backend engineering for AI products, graph systems, or data systems. Strong proficiency in Python. Experience building APIs, data pipelines, and production services. Hands-on understanding of LLM applications including: RAG / Retrieval Embeddings Function / Tool Calling Structured Outputs Agent Workflows AI Evaluation Strong software engineering fundamentals including modular coding, testing, version control, observability, and documentation. Ability to work with ambiguous problems and convert them into reliable, testable AI systems. Preferred Skills Exposure to any of the following would be an advantage: Graph databases LangGraph or similar agent orchestration frameworks Conversational AI systems AI observability Supply chain or enterprise workflows Candidates with a GitHub profile, technical portfolio, or relevant AI project/work sample are encouraged to share it.

Marketing & Project Coordinator Job Role & Responsibilities Coordinate multiple projects and ensure activities progress as per agreed timelines. Work closely with founders, internal teams, vendors, and external stakeholders. Coordinate execution of marketing campaigns and related activities. Manage vendor coordination, content requirements, approvals, and timelines. Support events and other marketing initiatives. Track deliverables, dependencies, pending actions, and project progress. Follow up proactively with stakeholders to ensure timely closure of tasks. Maintain project documentation, trackers, and regular status updates. Identify delays or bottlenecks and escalate them appropriately. Specific Expertise Required Strong project coordination and execution capabilities. Excellent organisational and follow-up skills. Ability to manage multiple projects and stakeholders simultaneously. Strong communication and stakeholder coordination skills. High level of ownership, attention to detail, and execution discipline. Comfortable working in a fast-moving environment with multiple priorities. Exposure to marketing operations, campaigns, events, or vendor management preferred. Technical / Functional Skills Relevant backgrounds may include: Project Coordination Marketing Coordination Marketing Operations Founder’s Office Client Servicing Executive Assistance with strong project coordination experience

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.