Design, build, and operate scalable backend, search, or data engineering systems for an e-commerce personalization platform. Responsibilities include developing high-throughput services, improving search relevance, optimizing analytical database queries, designing distributed systems and data pipelines, maintaining reliability and observability, driving architecture and engineering standards, reviewing code, and mentoring engineers and interns. The role partners with technical leadership on roadmap planning and delivery.
Role: Senior Software Engineer - Backend/Search
Team: Commerce - Recommendations & Merchandising
Experience: 3-6 years building production systems at scale
Location: Remote (India)
Employment type: Full-time
We are looking for experienced Senior Software Engineers who can independently own the design, development, and delivery of scalable software solutions with minimal guidance.
We're hiring for two complementary tracks to strengthen different parts of our engineering platform. While both roles require strong software engineering fundamentals and technical leadership, each focuses on a distinct area:
- Track A – Backend & Search Engineering: Build and optimize high-throughput backend services using Go and Python, improve search relevance, and work with large-scale data systems powered by ClickHouse.
- Track B – Data Engineering: Design and maintain robust data pipelines using Airflow and dbt/Dataform, working with BigQuery and ClickHouse to enable reliable, scalable data processing.
In either track, you'll drive technical design decisions, establish engineering best practices, mentor fellow engineers, and help scale our platform while maintaining a high bar for quality, performance, and reliability.
About the Commerce Team
The Commerce (Recommendations & Merchandising) team builds and scales our enterprise-grade e-commerce personalization platform, powering intelligent product recommendations, merchandising, search, and the data infrastructure behind them.
Our platform processes large-scale data and serves high-throughput workloads using modern technologies, including Python, Go, React, TypeScript, and a Google Cloud-based data platform built on Airflow, dbt/Dataform, BigQuery, and ClickHouse.
As part of this team, you'll help design, build, and evolve highly scalable systems that directly impact customer experiences across our platform.
What You'll Do
We're hiring for two complementary Senior Software Engineer tracks. Both roles involve technical ownership, mentoring, and building production-grade systems at scale.
Across Both Tracks
- Own the design, implementation, and delivery of complex features and distributed systems.
- Drive architectural decisions and establish engineering best practices.
- Lead code reviews and maintain high standards for code quality, reliability, and maintainability.
- Mentor software engineers and interns through technical guidance and feedback.
- Improve system performance, scalability, observability, and security.
- Partner closely with the Tech Lead and Engineering Manager on roadmap planning and technical execution.
Track A — Senior Backend / Search Engineer
Focus Areas:
- Build high-throughput, low-latency backend services using Go and Python.
- Design and improve search relevance, ranking, and recommendation services.
- Optimize ClickHouse queries and improve backend performance.
- Build reliable, observable, and fault-tolerant distributed APIs.
Track B — Senior Data Engineer
Focus Areas:
- Design, build, and maintain scalable ETL/ELT pipelines.
- Develop reusable workflows using Airflow and transformation frameworks such as dbt or Dataform.
- Own data quality, lineage, governance, and multi-tenant data architecture.
- Optimize warehouse performance, pipeline reliability, and cloud infrastructure costs.
- 3–6 years of experience building and operating production software at scale.
- Strong understanding of software design, distributed systems, and engineering best practices.
- Experience with automated testing, CI/CD pipelines, monitoring, observability, and code reviews.
- Passion for mentoring engineers and driving technical excellence.
Experience with most of the following:
- Go and/or Python
- Search platforms such as Meilisearch, Elasticsearch, OpenSearch, Solr, or Vespa
- Analytical databases such as ClickHouse, BigQuery, or Apache Druid
- SQL and API design
- High-performance distributed systems
Experience with most of the following:
- Advanced SQL and data modeling
- Workflow orchestration tools such as Airflow, Prefect, or Dagster
- Data transformation frameworks including dbt, Dataform, or Apache Spark
- Cloud data warehouses such as BigQuery, Snowflake, ClickHouse, or Redshift
- Python
- Cloud platforms (GCP, AWS, or Azure)
- Kafka / Pub/Sub, Bigtable / Cassandra, Redis, Kubernetes / Docker / Helm, GraphQL.
- Semantic / vector search, ranking, recommendations, or ML pipelines.
- E-commerce / personalization domain experience.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Equivalent experience counts
We don't hire based solely on experience with a specific technology. If you've worked with comparable tools and can demonstrate strong engineering fundamentals, we'd love to hear from you.
- Languages: Python / Go ↔ Java, Node.js / TypeScript, Scala, C++, Rust (strong fundamentals transfer)
- Search engines: Meilisearch ↔ Elasticsearch, OpenSearch, Solr / Lucene, Vespa, Typesense, Azure Cognitive Search
- Analytical / columnar stores: ClickHouse / BigQuery ↔ Snowflake, Redshift, Apache Druid, Apache Pinot
- Orchestration: Airflow ↔ Prefect, Dagster, Luigi, Temporal, AWS Step Functions
- Transformation: dbt / Dataform ↔ Apache Spark, SQLMesh
- Messaging / streaming: Pub/Sub ↔ Apache Kafka, RabbitMQ, AWS SQS / Kinesis, Pulsar
- Wide-column / KV stores: Bigtable ↔ Cassandra, DynamoDB, HBase, ScyllaDB; Redis ↔ Memcached, Aerospike
- Cloud: GCP ↔ AWS, Azure
Our Commerce tech stack
- Backend: Python (FastAPI, Strawberry GraphQL, SQLAlchemy), Go
- Frontend: React, TypeScript, Vite, GraphQL
- Data & storage: PostgreSQL, Redis, ClickHouse, BigQuery, Bigtable, Google Cloud Storage
- Search: Meilisearch
- Data engineering: Apache Airflow (Cloud Composer), dbt, Dataform
- Platform & DevOps: Google Cloud (GKE / Kubernetes), Docker, Helm, GitLab CI, Sentry, Prometheus / Grafana
What we offer
- Remote-first work culture within India
- Flexible working hours
- Competitive compensation
- Opportunity to build and scale a modern, high-impact commerce platform
- Ownership of technically challenging problems with real business impact
- Collaborative engineering culture with strong mentorship
- Learning and development support through courses, certifications, and conferences
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