Principal Search Engineer - Java, Elastic Search, Solr

Hyderabad, India, (Hybrid - 3 Days Onsite / 2 Days Remote)

Nasuni is a profitable, growing SaaS data infrastructure company reinventing enterprise file storage and data management in an AI-driven world. We power the data infrastructure of the world's most innovative enterprises. Backed by Vista Equity Partners and Goldman Sachs, our engineers are building what's next with AI. Our platform lets businesses seamlessly store, access, protect, and unlock AI-driven insights from exploding volumes of unstructured file data. As an engineer here, you'll help build AI-powered infrastructure trusted by 900+ global customers, including Dow, Mattel, and Autodesk.

We have a hybrid work culture. 3 days a week working from the Hyderabad office during core working hours and 2 days working from home.

Principal Search Engineer – Distributed Search & SaaS Platforms

Nasuni is building the future of AI-powered enterprise file data infrastructure, and search is a foundational capability of that platform.

This role is designed for a senior individual contributor who thrives at the intersection of deep technical execution and long-term platform strategy.

Technology selection, architecture patterns, performance strategies

Multi-tenant, petabyte-scale unstructured data

Cross-team influence across product and platform engineering

Mentors engineers through design reviews and code quality leadership

Lead performance optimization efforts to meet strict SLOs for latency, throughput, and availability

Partner with Product and Engineering leadership on multi-year technical roadmaps

10+ years of overall software engineering experience, with 7+ years focused on search systems

Hands-on experience with OpenSearch, Elasticsearch, or Solr in production environments
Proven ownership of large-scale, multi-tenant search platforms (terabytes of indexed data or more)
Deep expertise in Java, including high-performance, low-latency services
Strong understanding of distributed systems, fault tolerance, and data consistency
Experience operating search systems in cloud environments (AWS and/or Azure)
Production experience with Kubernetes-based deployments

Advanced relevance tuning experience (custom analyzers, tokenization, scoring models)

Experience designing search ingestion pipelines for unstructured data

Operational ownership of on-call, incident response, and reliability metrics

Working knowledge of Python for scripting, tooling, or data pipelines

Ideal Experience

Experience with Learning to Rank (LTR) or ML-based relevance models

Experience modernizing or replacing legacy search architectures

Competitive compensation programs

Flexible time off and leave policies

Comprehensive health and wellness coverage

Hybrid and flexible work arrangements

Employee referral and recognition programs

Professional development and learning support

Modern office spaces with team events and perks

Retirement and statutory benefits as per Indian regulations

All qualified applicants will receive consideration for employment without regard to race, religion, caste, color, sex, gender identity or expression, sexual orientation, disability, age, national origin, or any other status protected by applicable laws in India or the country of employment. We celebrate individuality and are committed to building a workplace that reflects the diversity of the communities we serve. If you require accommodation during the recruitment process, please let us know.

This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, 'Nasuni') from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.

Principal Java Engineer - Remote

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