Software Engineer- W2

Hi

Hope you are doing well!

Im Shikha Dixit Lead Recruiter at Siri Info Solutions. Ive been reviewing your background in AI MongoDB Atlas Search APIs REST services Java and/or Python etc. and your profile stands out as an excellent match for a Software Engineer opening I have in Irving TX. This is a high-priority 5-day onsite role with one of our key clients. Given your experience Id love to discuss the details and see if this aligns with your career goals. Are you open to a quick 5-minute chat

Role: Software Engineer (W2)

Duration: 6 months

Location: Irving TX (5-day onsite)

Job Description:

About This Opportunity

• As a Software Engineer AI Search Platform you will help evaluate and build the next-generation keyword search platform for a high-scale retail and digital commerce environment.
• The initial focus will be a MongoDB Atlas Search POC because product availability and regional data already live close to MongoDB. You will validate whether MongoDB Atlas Search can meet current production search expectations while also helping compare other Lucene-based options such as AWS OpenSearch Elasticsearch or similar technologies if needed.
• The ideal candidate is a senior or strong mid-level engineer with hands-on experience building or tuning Apache Lucene-based search platforms such as MongoDB Atlas Search AWS OpenSearch Elasticsearch or similar technologies. They can independently drive a search migration POC evaluate relevance quality design indexing and comparison flows and partner across Product Analytics and Engineering to recommend a production migration path.

Responsibilities

• Build and evaluate search platform capabilities for keyword search migration relevance tuning indexing ranking and search-quality measurement.
• Design MongoDB Atlas Search indexes analyzers schemas ranking signals and query patterns for product search use cases.
• Develop backend APIs and services using Java and Python to support search workflows indexing evaluation and observability.
• Design a production-safe shadow evaluation flow that samples a small percentage of search traffic captures query context and production baseline results and compares candidate search output outside the customer-facing request path.
• Evaluate autocomplete query suggestions popular searches top results zero-result behavior fuzzy matching synonym handling regional ranking merchandising behavior and availability-aware ranking.
• Partner with Product Analytics and business stakeholders to define and measure search migration KPIs including relevance quality latency add-to-cart impact conversion impact and regional availability behavior.
• Build and tune BM25/Lucene-based search indexes analyzers ranking signals and retrieval pipelines.
• Contribute to the longer-term search platform roadmap including automated chunking indexing BM25-based retrieval hybrid search and search-driven AI workflows.
• Write maintainable code tests documentation and operational notes that help the platform scale beyond the POC.

Required Qualifications

• 4 years of professional software engineering experience.
• Hands-on experience designing tuning and evaluating keyword-search relevance using Lucene/BM25-style retrieval analyzers tokenization synonyms fuzzy matching boosts ranking signals and result-quality evaluation.
• Experience building backend APIs REST services and service-to-service workflows using Java and/or Python.
• Experience designing search schemas indexes incremental indexing flows and query/relevance evaluation pipelines.
• Working knowledge of MongoDB or similar document/database systems.
• Experience with production observability including logs metrics traces latency measurement and quality comparison dashboards.
• Familiarity with Docker CI/CD Git automated testing and modern software delivery practices.
• Ability to work with ambiguous requirements and translate business search goals into practical engineering plans.

Preferred Qualifications

• Experience with Lucene-based search platforms is preferred including MongoDB Atlas Search AWS OpenSearch Elasticsearch or similar technologies. The initial POC will focus on MongoDB Atlas Search. Elasticsearch experience is helpful but not required.
• Experience with retail e-commerce marketplace or product-search systems is strongly preferred.
• Experience with product availability regional/store context ranking experiments merchandising signals autocomplete query suggestions or conversion-focused search optimization.
• Experience with AWS services cloud-native deployment queues event-driven workflows and data pipelines.
• Experience with Python frameworks such as FastAPI Java frameworks such as Spring Boot or API development.
• Experience with hybrid search embeddings automated chunking retrieval workflows or search-driven AI systems is a plus.

Best Regards

Shikha Dixit Email: or LinkedIn:

Lead Recruiter