Senior Software Engineer - Backend & Search

Role Overview

• 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.

About the Commerce Team

What You'll Do

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

• 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

• 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.

What We're Looking For

Required Qualifications

• 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.

Track A – Backend/Search

• 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

Track B – Data Engineering

• 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)

Good to have

• 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

• 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