Solutions Architect - Presales | Elastic

Ingram Micro; Mumbai; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Ingram Micro is seeking a Presales Solution Architect to act as a trusted technical advisor on Elastic platform offerings, including Enterprise Search, Observability, and Security. You will drive discovery, architecture discussions, demonstrations, and PoCs while supporting adoption of Elastic technologies across customers and partners.

You will design scalable Elastic solutions, lead technical workshops, and collaborate with cross-functional teams to translate business problems into technical

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum experience in presales/solution consulting or customer-facing architecture roles.

Responsibilities

• Serve as SME for Elastic Enterprise Solutions covering Search, Observability, and Security.
• Engage with customers, partners, and sales teams to capture requirements and define architecture.
• Design and architect Elastic solutions aligned to use cases including Enterprise Search, observability, and security.
• Lead PoCs, product demonstrations, and technical validations.
• Respond to RFPs/RFIs with technically sound and business-aligned proposals.
• Collaborate with Sales, Product, Marketing, and Engineering to drive pipeline and outcomes.

Skills

Elastic Stack

Elasticsearch

Kibana

OpenTelemetry

Kubernetes

AWS

Azure

GCP

CI/CD

Java

Node.js

NoSQL

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Kubernetes

CI/CD

Job description

Job Role: As a Presales Solution Architect, you will act as a trusted technical advisor to customers, partners, sales teams, and internal stakeholders. The role requires strong expertise across the Elastic platform, including Enterprise Search, Observability, and Security solutions.
You will be responsible for translating customer business challenges into scalable Elastic-based solutions, leading technical discovery, architecture discussions, demonstrations, proof-of-concepts (PoCs), and supporting successful adoption of Elastic technologies.
Responsibilities:

• Serve as the technical Subject Matter Expert (SME) for Elastic Enterprise Solutions covering Search, Observability, and Security.
• Engage with customers, partners, and sales teams to understand business requirements, technical challenges, and solution objectives.
• Design and architect Elastic solutions aligned to customer use cases, including:
  • Enterprise Search and AI-powered search experiences
  • Application, infrastructure, and cloud observability
  • Logging, monitoring, APM, tracing, metrics, and OpenTelemetry-based solutions.
  • SIEM, threat detection, security analytics, endpoint security, and incident investigation workflows
• Conduct technical discovery workshops, solution presentations, whiteboarding sessions, and executive briefings.
• Develop solution architectures, technical proposals, sizing recommendations, and implementation approaches.
• Lead Proof-of-Concepts (PoCs), product demonstrations, and technical validations.
• Respond to RFPs/RFIs by providing accurate technical and business-aligned responses.
• Collaborate with Sales, Product, Marketing, and Engineering teams to drive pipeline growth and successful customer outcomes.
• Build competitive positioning against alternative search, monitoring, observability, and security platforms.
• Support partner enablement activities, technical training, and knowledge-sharing programs.
• Mentor junior architects and presales engineers on Elastic technologies and consultative selling practices.
• Support partner to Secure, maintain, and upgrade Elasticsearch clusters.
• Design and implement strategies for Elasticsearch performance optimization, scalability, and efficient data utilization.
• Strong expertise in data onboarding, indexing lifecycle/tier management, and performance tuning.
• Can develop and optimize ingestion pipelines, including advanced Grok parsing, event processing, and indexing strategies.
• Support partner to build geospatial search, aggregation, and visualization solutions.
• Manage structured and unstructured data ingestion workflows.
  

Technical Skills:

• Strong hands-on experience with Elastic Stack components:
  • Elasticsearch
  • Kibana
  • Elastic Agent / Beats
  • Logstash
  • Fleet Management
• Experience designing and implementing enterprise-scale Elastic deployments.
• Strong understanding of:
  • Data ingestion, indexing, querying, dashboards, visualization, and analytics
  • Search architecture and relevance tuning
  • Observability concepts including logs, metrics, traces, APM, SRE practices
  • Security operations, SIEM workflows, threat hunting, detection rules, and security analytics
• Knowledge of cloud platforms (AWS, Azure, GCP), Kubernetes, containers, DevOps and CI/CD practices.
• Experience with OpenTelemetry and modern observability architectures is preferred.
• Understanding of data architecture, performance sizing, scalability, and high availability concepts.
• Hands-on experience with AI-powered search, vector databases, semantic search, GenAI applications, and MLOps.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines for LLM-based applications.
• Integrate LLMs with Elasticsearch search pipelines and enterprise knowledge retrieval systems.
• Can define and measure RAG quality metrics and retrieval effectiveness.
• Design vector indexing and embedding strategies.
• Experience with Elastic Learned Sparse Encoder (ELSER) and Model Context Protocol (MCP).
• Build intelligent search assistants and enterprise search platforms.
• Develop and deploy ML solutions for Classification, Anomaly Detection, Recommendation Systems & Forecasting.
• Create evaluation frameworks to measure retrieval accuracy and search relevance.
• Must have skill to Build AI observability dashboards and monitoring frameworks.
• Define and manage SLI/SLO frameworks.
• Hands on experiences with rules & connectors.
• Experience in backend/frontend development using Java , Node.js, NoSQL query & painless scripting.
• Develop predictive alerting and anomaly detection mechanisms for proactive system monitoring,
  

Presales Skills:

• Proven experience in enterprise presales, solution consulting, or customer-facing architecture roles.
• Ability to conduct technical discovery and map customer challenges to business outcomes.
• Strong presentation, communication, and stakeholder management skills.
• Ability to explain complex technical solutions to both technical and business audiences.
• Experience creating solution documents, HLD/LLD, proposals, and architecture diagrams.
• Strong analytical thinking and problem-solving capability.
• Ability to work independently in a fast-paced and evolving environment.
  

Certifications:

• Elastic Certified Analyst
• Elastic Certified Observability Engineer
• Elastic Certified SIEM Analyst
• Elastic Certified Engineer

Education: Bachelor’s degree or higher in Computer Science, Information Technology, or related field.