Sr Software Engineer - Search Platform (Data Ingestion)

Lowe's Companies, Inc.•Charlotte, NC

About The Position

The Senior Software Engineer will build and enhance Lowe’s core Search Platform, which supports enterprise search experiences across digital and store channels. The role designs, develops, and operates scalable OpenSearch/Elasticsearch solutions, cloud-native services, and batch and near real-time data ingestion pipelines. It focuses on platform performance, reliability, scalability, and modernization. The Search Platform provides foundational infrastructure for Search, Ranking, AI, and other downstream applications. The engineer will develop search platform capabilities and APIs, build and optimize data ingestion and ETL pipelines using Google Cloud Platform technologies, and implement operational practices such as monitoring, logging, alerting, automation, and CI/CD. The position also contributes to architecture and design reviews, mentors engineers, and collaborates with Agile engineering, platform, and product teams. Lowe’s describes an inclusive, supportive engineering culture at a Fortune 50 retailer, with company resources and opportunities for learning and growth.

Requirements

Bachelor’s degree in computer science, computer information systems (CIS), or a related field, or equivalent years of experience in lieu of the education requirement, if applicable.
5 years of experience in software development or a related field.
4 years of experience in one or more of these competencies: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps.
4 years of experience working on projects implementing solutions through development life cycles (SDLC) using iterative Agile development.
Expertise in OpenSearch/Elasticsearch, including high-volume ingestion, indexing, document synchronization, and performance optimization.
Strong Python programming skills.
Experience building batch and near real-time data ingestion and ETL pipelines.
Hands-on experience with Google Cloud Platform technologies, including Apache Beam, Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage, and Cloud Composer.
Experience developing cloud-native applications, REST APIs, microservices, and distributed systems.
Experience with CI/CD, Git, monitoring, logging, and production support.
Strong analytical, troubleshooting, collaboration, and communication skills.

Nice To Haves

Master’s degree in computer science, CIS, or a related field.
Java experience.
Experience with AI/ML data pipelines and AI-enabled search platforms.
Experience with Apache Spark and large-scale distributed computing.
Experience optimizing OpenSearch/Elasticsearch clusters for scalability and resiliency.
Familiarity with Infrastructure as Code, such as Terraform or similar.
Experience with observability platforms such as Prometheus, Grafana, or Cloud Monitoring.
Experience working in retail, e-commerce, or search domains.
Google Cloud certifications.

Responsibilities

Design, develop, and maintain scalable Search Platform capabilities using OpenSearch/Elasticsearch.
Build cloud-native services and APIs supporting Search Platform functionality.
Improve platform scalability, reliability, search performance, and modernization.
Build and maintain scalable batch and near real-time data ingestion and ETL pipelines.
Ingest, transform, validate, and publish enterprise data for Search Platform consumers.
Optimize indexing, document synchronization, and search data performance using Google Cloud Platform technologies.
Implement monitoring, logging, alerting, automation, and CI/CD practices.
Troubleshoot production issues to ensure platform stability, availability, and performance.
Participate in architecture, engineering design, and code reviews.
Mentor engineers and promote engineering best practices.
Collaborate with Agile engineering, platform, and product teams to deliver scalable Search Platform solutions.