Elastic: Consulting Architect - Observability — India

About Elastic

Elastic builds search and analytics software. Its Elasticsearch engine stores and indexes large volumes of data for fast retrieval, and the company provides solutions for enterprise search, observability of applications and infrastructure, and security analytics, with vector search support used in AI applications. It is headquartered in Amsterdam in the Netherlands. Its employer feed covers engineering, support and commercial roles around its search and analytics platform.

The position and its setting

Elastic lists Consulting Architect - Observability in India, under reference 7447246. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Consulting - Global - COE
• Employer listing date: 5 December 2025

Responsibilities and work described

• As a member of our professional services team you will deliver Elastic solutions and Elastic stack expertise to drive customer business value from our products
• Work: with clients to facilitate strategy, roadmap, design, and sizing in workshops
• Apply your soft skills to advocate for your customers, build relationships and exhibit communications skills
• Comfortability working remotely or on-site in a highly distributed team
• Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of proof-of-concepts that highlight the value of the Elastic Stack and its solutions
• Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale
• Daily tasks include driving and handling the objectives, requirements gathering, project tasks, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting and exceeding the customer objectives
• Your goal is to make your customers love Elastic and achieve amazing value from the platform!
• Work: across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects
• Facilitate feedback from the field back to the product
• Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns
• Be a mentor to your team members, while also learning from them to accelerate your skills

Essential requirements and candidate background

• Elastic Certification: Required – Active Elastic Observability Engineer certification is mandatory
• Minimum of 7 years as a Consulting Architect or senior IT functional leadership experience
• Consulting History: A history of working as a Consultant delivering professional services engagements in complex enterprise environments
• Domain Expertise: experience in deploying solutions using Elastic core domain: Enterprise Observability
• Fleet and agent installation policies, and scalability considerations
• Knowledge in deploying enterprise observability (Metrics and Logs) solutions at scale (Application performance monitoring (APM), User experience monitoring (UEM), Infrastructure optimization, Network visibility and monitoring)
• Experience leading observability projects at both the architectural and program level
• Experience working with monitoring tools that integrate into service management
• Deep understanding of distributed architecture including application, database and systems
• Cloud & Infrastructure: Hands-on experience with on-prem systems and/or major public/private cloud platforms (AWS, Azure, GCP)
• Technical Depth: Hands-on experience in Linux, networking, security, containerization (Docker/Kubernetes), and infrastructure automation
• Programming/Scripting: Experience utilizing programming or scripting languages in a corporate environment (e.g., Python, Javascript, Go)
• Communication: customer advocacy, relationship-building, and soft skills including whiteboarding and driving architectural conversations
• Ability to lead and articulate technical solutions to stakeholders
• Experience contributing to an open-source project or documentation
• Travel: Ability and willingness to travel to client sites periodically as required for project success (up to 20%)

Preferred experience and additional strengths

• Any cloud service provider's - Gen AI certification
• Additional Elastic Certifications
• Comfortable with Ansible, JavaScript, Terraform
• Experience working closely with a pre-sales organization in scoping customer needs and delivering against a Statement of Work (SOW)
• Experience as a technical instructor or public speaker on enterprise infrastructure software
• #LI-DS1

Location, schedule and contract conditions

• Advertised location: India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Consulting Architect - Observability vacancy is not an offer for reference 7447246; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Elastic

Applications follow the official employer page linked below.

Open the official Elastic posting below and match the title and reference 7447246.

Compare your qualifications and experience with the essential conditions for the India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• JavaScript
• Kubernetes
• Docker
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Linux