About the role

SDE-3 leading a talented team to improve product discovery at ZAGENO. Collaborative role focused on AI-driven search systems and exceptional customer experiences.

Responsibilities

Lead and grow a team of backend,and FE engineers focused on Search, Ranking, and Product Discovery.
Collaborate with Product, Data Engineering, and UX teams to define the long-term search roadmap.
Drive architecture and design discussions for scalable and intelligent search systems.
Foster a culture of high performance, collaboration, and continuous improvement.
Oversee end-to-end design, development, and optimization of search pipelines (indexing, query processing, ranking).
Own search KPIs — including relevance, latency, clickthrough rate, and conversion metrics.
Implement experimentation frameworks (A/B testing, offline evaluation) to measure search quality improvements.
Guide migration or scaling of Elasticsearch/OpenSearch infrastructure and ensure data freshness, accuracy, and resilience.
Collaborate cross-functionally with product managers, UX designers, and marketplace stakeholders.
Communicate technical trade-offs, project risks, and roadmap progress effectively to business leadership.
Partner with analytics teams to translate user behavior data into actionable search insights.

6-8 years of total engineering experience, including some technical lead role
Strong technical foundation in search, ranking, and retrieval systems (Elasticsearch, OpenSearch, or similar).
Proven experience in eCommerce search or large-scale catalog discovery systems.
Proven experience in tracking sprint health, predictability, and delivery.
Hands-on experience with Python/Java and modern backend frameworks.
Experience designing data pipelines for indexing, enrichment, and query understanding.
Understanding of search relevance tuning, synonyms, embeddings, re-ranking, and personalization.
Strong architectural skills — ability to design scalable, high-availability search systems.
Excellent communication, mentoring, and stakeholder management skills.
Exposure to LLMs or vector search (semantic/embedding search) for product discovery.
Experience with GCP, AWS, Kubernetes, and CI/CD for production-grade deployments.

Working for a mission-driven business with a meaningful challenge with a positive impact on the scientific community
A clear growth perspective
A learning and development budget to enable your ambitions to grow professionally in your field
A professional and dynamic team with a global vision and mindset
An exciting, international working environment - we have more than 40 nationalities!
We’ve got your health benefits (medical, dental, and vision)
Hybrid Work with 3 days work from office in our Marathahalli, Bangalore office
Staying healthy and fit is essential - we cover a part of your gym membership!
Holidays and flexible PTO
Paid family leave
A budget to improve your home office environment