Elastic Stack Developer

About the role

The Indian Army Internship Program offers a structured pathway for technical talent to contribute within a secure defense environment. As an Elastic Stack Developer, you will own the design and implementation of search and observability solutions tailored for classified environments. You will be responsible for configuring and tuning the platform to meet stringent operational requirements without external network dependencies. The role demands a disciplined approach to building reliable data ingestion and querying mechanisms using modern Elastic technologies. You will work closely with cross-functional evaluators to validate system behavior and improve overall robustness. Documentation and knowledge transfer will form a critical part of your deliverables to ensure continuity beyond the internship period. You will also act as a technical communicator, translating complex platform changes into clear narratives for both technical and non-technical audiences.

Key facts

Location: Delhi

Engagement: internship

Compensation: stipend of up to ₹75000

Compensation contributes 15 credits toward academic progression

The engagement duration is 75 days

The start date is 17-Aug-2026

The application submission deadline is 03-Aug-2026

The posting date is 21-Jul-2026

What you'll do

• Analyze enterprise search requirements for isolated network environments and define functional specifications.
• Architect search infrastructure that remains fully operational without external connectivity and supports air-gapped constraints.
• Configure and manage Elastic Stack components, including ingestion pipelines, index patterns, and cluster settings.
• Implement advanced retrieval strategies using text embeddings and analytical models to enhance document discoverability.
• Collaborate with evaluation teams to refine search workflows, tune ranking logic, and validate relevance outcomes.
• Prepare comprehensive technical packages containing installation guides, configuration templates, and operational procedures.
• Present proposed solutions and explain functional modifications to stakeholders using clear and structured communication.
• Provide ongoing support by monitoring system performance metrics and addressing post-deployment anomalies.
• Conduct testing of search and analytics features, documenting results and recommending improvements based on observed behavior.
• Assist in the integration of security controls and access policies to ensure data protection within the platform.
• Optimize query performance and resource utilization to meet operational standards within constrained environments.
• Support the migration of existing search artifacts into the Elastic platform while maintaining data integrity and consistency.
• Guide users on best practices for content ingestion, mapping design, and index lifecycle management.
• Facilitate knowledge-sharing sessions to upskill team members on Elastic Stack capabilities and troubleshooting techniques.

Requirements

• Hold a Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or Information Technology.
• Be available for the complete 75-day duration of the internship without scheduling conflicts.
• Demonstrate a strong interest in search technologies and platform engineering concepts.
• Pass security screening procedures and adhere to all institutional rules governing defense-related projects.
• Maintain a professional demeanor and comply with the code of conduct throughout the engagement period.
• Commit to a daily work schedule from 9:30 AM to 5:30 PM as mandated for this role.
• Exhibit reliability in attending all assigned sessions, with attendance below 75 percent leading to disqualification.
• Show proficiency in scripting and automation using Python to streamline repetitive tasks and improve efficiency.
• Possess familiarity with search platforms, data processing pipelines, and associated ecosystem tools.
• Comfortably manage complex data structures, indexing strategies, and schema design principles.
• Display a keen desire to learn about search relevance, experimentation, and the adoption of modern tooling.
• Willingness to work within isolated environments and adapt to strict operational protocols.
• Ability to follow detailed instructions and produce high-quality technical artifacts under supervision.

Nice to have

• Experience with advanced data structures that support similarity matching and vector search operations.
• Understanding of machine learning operations within search contexts, including model integration and inference workflows.
• Prior exposure to Elastic Stack deployments in constrained or offline environments.
• Familiarity with relevance tuning, A/B testing, and evaluation methodologies for search systems.
• Knowledge of secure coding practices and defensive programming techniques for defense applications.

Practical notes

• The workday is fixed from 9:30 AM to 5:30 PM on all working days.
• The stipend is disbursed only after successful completion of the internship requirements.
• Attendance below 75 percent during the engagement period results in automatic disqualification.
• Security verification is mandatory prior to induction and must be completed without delay.
• Personal electronic devices such as smartphones and laptops are not permitted on site.
• All necessary workstations will be supplied by the organization for the duration of the internship.
• The posting location is listed as Delhi, India, and candidates must confirm any remote work policies directly with the recruiter.
• Ensure that your application aligns precisely with the timeline and prerequisites outlined in this notice.

About the company

On 1 April 1895, a land force came into being, joining earlier presidency armies under one structure. A civilian leader holds ultimate command, while a chief of staff guides operations. Older regional forces joined this formation, creating a unified ground component for the empire. That force saw action across many regions, collecting battle honours. Its legacy continues through merged units and regiments with distinct histories, shaping a shared institutional memory.