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Key Responsibilities :

1. Engineering Leadership & Team Development :

- Lead, mentor, and grow a team of backend and frontend engineers (6 - 10 members).
- Foster a culture of ownership, high performance, and continuous improvement.
- Drive sprint predictability, engineering quality, and delivery excellence.

2. Technical Strategy & Architecture :

- Define and evolve the architecture for scalable, high-performance search systems.
- Drive design decisions across indexing pipelines, query processing, and ranking frameworks.
- Ensure systems are resilient, observable, and cost-effective.
- Guide adoption of modern search paradigms including semantic search and vector-based retrieval.

3. Product & Search Experience Ownership :

- Own key search metrics: relevance, latency, CTR, and conversion.
- Collaborate with Product, UX, and Data teams to define and execute the search roadmap.
- Translate user behavior and analytics into actionable improvements in discovery experience.
- Champion experimentation culture (A/B testing, offline evaluation frameworks).

4. Delivery & Execution :

- Oversee end-to-end delivery of search platform enhancementsfrom design to production.
- Ensure high-quality releases, minimizing gaps between product requirements and engineering output.
- Manage dependencies across teams and proactively mitigate risks.
- Drive continuous improvements in development processes, CI/CD, and observability.

5. Stakeholder Management :

- Communicate effectively with product, business, and senior leadership.




- Provide clarity on trade-offs, timelines, and technical risks.
- Partner with analytics and marketplace teams to align on business outcomes.

Must Have :

- 9 - 11 years of software engineering experience with 2 - 4 years in engineering management.
- Strong experience with search and retrieval systems (e.g., Elasticsearch/OpenSearch).
- Proven track record in eCommerce or large-scale product discovery platforms.
- Hands-on experience with Java or Python and modern backend architectures.
- Deep understanding of search relevance tuning, indexing pipelines, and query optimization.
- Experience with Agile execution, sprint predictability, and engineering metrics.
- Strong system design skills for high-scale, low-latency systems.
- Experience with cloud platforms (AWS/GCP), Kubernetes, and CI/CD pipelines.
- Excellent communication, stakeholder management, and mentoring skills.

Good to Have :

- Exposure to vector search, embeddings, or LLM-powered discovery.
- Experience with personalization or recommendation systems.
- Prior experience scaling or migrating search infrastructure.

Success Metrics :

- Measurable improvement in search relevance (CTR, conversion rate, engagement).
- Reduction in search latency and system bottlenecks.
- Increased user satisfaction and faster product discovery journeys.
- Improved team velocity, predictability, and retention.
- Establishment of a robust experimentation and metrics-driven culture.

📌 Engineering Manager - Search Infrastructure (India)
🏢 Human Touch
📍 India