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PreSales Lead​/Solution Architect – Cloud Transformation & Managed Services

Job in 201301, Noida, Uttar Pradesh, India
Listing for: Programmers.io
Full Time position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Job Description & How to Apply Below
Position: PreSales Lead / Solution Architect – Cloud Transformation & Managed Services
Job Description Presales Lead / Solution Architect – Cloud Transformation & Managed Services

Lead pre‑sales solutioning for Cloud Engineering, Migration & Modernization, and Managed Services. Partner with Sales, Delivery, and Practice leadership to qualify opportunities, architect hybrid/multi‑cloud solutions, build credible estimates and proposals, and ensure clean handover to delivery via strong governance, risk controls, and commercial clarity.

Position Details
Reporting to:
Head of Practice
Scope:
Cloud Transformation (Migration & Modernization) + Managed Services
Ecosystem:
Hybrid / Public / Multi-Cloud (AWS, Azure, IBM, GCP, OCI) + Private Cloud

Experience:

14+ years total; 8–10+ years in pre‑sales solutioning / cloud architecture for M&M and/or managed services

Key Responsibilities
1)  Pre‑Sales Deal Shaping
Run discovery and workshops; capture business outcomes, current state, NFRs, constraints, and success criteria.
Define target architecture, delivery approach, timeline, resourcing, assumptions/exclusions, dependencies, and risk plan.
Own estimation and proposal/SOW technical sections; support client presentations up to CXO level.
Drive bid governance and go/no‑go with clear scope boundaries, quality gates, and handover checklist.

2) Cloud Architecture & Standards
Create reference architectures (landing zone, IAM, network segmentation, security controls, governance guardrails).
Select fit‑for‑purpose patterns/services for compute, containers/serverless, data, integration, observability, resilience, DR/BCP.
Set standards for IaC, CI/CD, environment strategy, release governance, and SRE/operations practices.
Ensure security/compliance alignment (encryption, keys, logging/audit, least privilege).

3) Migration & Modernization Solutioning

· Define strategy using the 6R approach; recommend waves based on app/data assessment and dependencies.

· Build wave plan, cutover/rollback, test strategy, and data migration approach; define modernization roadmap (apps/MW/DB).

· Promote accelerators for discovery, assessment, migration execution/validation, and operational readiness.

4) Managed Services Design (Annual TCV / Run Model)

· Define operating model (L1/L2/L3, on‑call, incident/problem/change, service requests, release governance).

· Define observability & reliability (SLO/SLI, monitoring/alerting/logs/traces, capacity, DR/BCP, hyper care → steady state).

· Produce MS artifacts: service catalog, SLA/OLA, RACI, runbooks, KB approach, continuous improvement cadence.

5) Commercials, Estimation & Risk Controls

· Create WBS‑based estimates and pricing inputs (T&M/fixed/outcome/MS) with explicit assumptions and exclusions.

· Build cost models (cloud consumption, licensing, tools, support costs) and optimization levers (Fin Ops).

· Maintain risk register and dependency log; enforce sign‑offs and scope/change control fundamentals.

AI/ML‑Enabled Solutioning & AIOps
Use Amazon Bedrock & Sage Maker AI, and Azure OpenAI (Foundry Models) + Azure Machine Learning to speed discovery, rationalization, and migration wave planning using governed enterprise data.
Apply AIOps practices via Amazon Dev Ops Guru/Cloud Watch and Azure Monitor (App Insights/Log Analytics) to improve anomaly detection, RCA speed, and SLA/SLO reliability outcomes in MS solutioning.
Use Azure AI Search and Bedrock Knowledge Bases to securely ground proposals, runbooks, and solution artifacts on private enterprise content (RAG/agentic retrieval).

Stakeholder Management & Practice Contribution
Partner with Sales/Accounts/Delivery/Partners to shape pipeline, build joint offerings, and align partner programs.
Coach pre‑sales engineers/architects; build reusable templates, reference architectures, and accelerators.
Contribute to practice growth via case studies, IP, and internal enablement.
Deliverables
Architecture deck + target state diagrams; discovery pack (requirements, NFRs, assumptions, constraints).
Migration factory approach + wave plan; modernization roadmap; cutover/testing strategy.
Managed services pack service catalog, SLA/OLA, RACI, runbooks, monitoring strategy, transition plan.
Estimate/WBS/resourcing/timeline; proposal/SOW technical sections; risk register &…
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