Sr Software Engineer - Search Platform (Data Ingestion)

Innovate in Charlotte Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply! Your Impact We are seeking a Senior Software Engineer to build and enhance Lowe's core Search Platform that powers enterprise search experiences across digital and store channels.

This role is responsible for designing, developing, and operating scalable OpenSearch/Elasticsearch solutions, cloud-native services, and batch and near real-time data ingestion pipelines while driving platform performance, reliability, scalability, and modernization.

The Search Platform team develops the foundational infrastructure supporting Search, Ranking, AI, and other downstream applications, enabling new business capabilities through resilient, high-performing search technologies. Work with a Winning Team As part of a Fortune 50 company and retail leader, your work can change an entire industry.

Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you’ll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you.

Our teams are structured around the engineer, giving you the support you need to do your best work. Since we’ve been in business for over 100 years, we’ve built an excellent track record of growth and success. There’s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges.

And as you solve these challenges, know you’ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work. What You Will Do 1. Search Platform Engineering 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 support modernization initiatives. 2. Data Pipeline Engineering 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. 3. Platform Operations Implement monitoring, logging, alerting, automation, and CI/CD practices.

Troubleshoot production issues to ensure platform stability, availability, and performance. 4. Architecture & Technical Leadership Participate in architecture, engineering design, and code reviews. Mentor engineers and promote engineering best practices. 5.

Cross-Functional Collaboration Collaborate across Agile engineering, platform, and product teams to deliver scalable Search Platform solutions. Primary Skills: Expertise in OpenSearch/Elasticsearch, including high-volume ingestion, indexing, document synchronization, and performance optimization.

Strong Python programming skills. Java experience is a plus. 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.

Minimum Qualifications Bachelor’s degree in computer science, computer information systems (CIS), or related field or equivalent years of experience in lieu of education requirement, if applicable 5 years of experience in software development or a related field 4 years of experience in any of following competencies: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) through iterative agile development Preferred Skills/Education Master’s degree in computer science, CIS, or related field 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 (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 are a plus. Benefits 401k with up to 4.25% match Discounted Employee Stock Purchase Plan (15% discount of strike price) Tuition-Free Education 10-week Maternity/Parental Leave 10% Associate Discount For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion.

Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need.

For more information, visit Lowes.com . Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.