Senior Software Engineer (Search Backend)
Help empower our global customers to connect to culture through their passions.
Job Description: Senior Software Engineer (Search Backend)
Why you’ll love this role
StockX is an established global startup headquartered in the USA with development offices in Bangalore India.
In the Search & Recommendation ML team, we work together to productionalize custom machine-learning models that can drive product vision and customer impact at scale. We are looking for a Sr Software Engineer who is sophisticated in large-scale search systems. This member will be responsible for the health of the Search Backend system and working with other ML engineers for productionizing ML innovations in the Search Domains. If you’re passionate about search performance, ranking pipelines, and search index maintenance, this role is for you.
What you’ll do
- Design and maintain the infrastructure behind our core search stack.
- Build scalable, fault-tolerant indexing pipelines for real-time and batch data ingestion.
- Partner with ML engineers and relevance teams to support offline/online ranking experimentation.
- Optimize search latency, throughput, and uptime using observability tooling and performance profiling.
- Collaborate with product and data teams to understand query patterns and evolve system design accordingly.
- Drive migration to more modern indexing and vector search frameworks.
- Implement safeguards and autoscaling policies to ensure SLAs under traffic spikes and failovers.
About you
- 6+ years of experience building scalable backend systems; ideally in search, recommendation, or large-scale data retrieval.
- Strong experience with search engines
- Solid grasp of distributed systems (e.g., Kafka, Kubernetes, microservices architecture).
- Proficiency in Go and Python.
- Comfort with performance tuning and profiling low-latency systems.
- Experience deploying and operating production systems in cloud environments (AWS, GCP, Azure).
- Familiarity with Databricks, Unity Catalog, or Lakehouse architecture is highly desirable.
- Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.
Nice to have skills
- Familiarity with MLOps, vector databases (e.g., Faiss, Milvus, Weaviate), or ANN algorithms
- Experience with Kubernetes and Docker for productionalizing models
- Experience in building machine learning systems at scale.
- Experience in using AWS Cloud Platform, Databricks and/or OpenSearch or Elastic Search.
- Experience in LLM serving / Open AI or equivalent / Langchain / Agents / RAG Apps.
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
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