Principal Java Engineer - Remote in Rāniganj, India is listed on Jobeax. Browse 30,000+ vacancies available.
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.
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