Software Engineer_Backend_Python

Innovate in Bengaluru

This position is based at our on-site office in Bengaluru. Lowe's offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience. 

 

 

 

About Lowe’s Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week, with total fiscal year 2024 sales of more than $83 billion. Lowe's employs approximately 300,000 associates and operates over 1,700 home improvement stores, 530 branches and 130 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.

At Lowe's India, we are the enablers who help create an engaging customer experience for our $90+ billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market. To know more about Lowe's India, visit Lowes.co.in

Job Summary We are seeking a Software Engineer to build and scale next-generation Search and discovery systems powered by machine learning. This role focuses on developing high-impact, data-driven capabilities that improve relevance, personalization, and overall search experience at scale.

As a hands-on engineer, you will work across backend systems, data pipelines, and ML-driven workflows to bring models into production and keep them running reliably. The role involves building and operating large-scale systems, solving production issues, and continuously improving performance, scalability, and cost efficiency. You will partner closely with engineers and data scientists to turn ideas into production-ready solutions that directly impact customer experience.   Core Responsibilities

•  Work with product managers, data scientists, and engineers to understand requirements and translate them into scalable system designs
•  Design and build backend systems, including data pipelines and ML-driven workflows
•  Develop and maintain microservices and APIs for data processing and model serving
•  Build and maintain CI CD pipelines for application and ML workflows
•  Deploy and manage applications and ML models using cloud and containerized environments such as Kubernetes and GKE
•  Implement monitoring, logging, and alerting for services, data pipelines, and model performance
•  Troubleshoot and resolve production issues across services, pipelines, and deployed models
•  Own services end to end including development, deployment, monitoring, and production support
•  Improve system performance, scalability, and cost efficiency
•  Collaborate with cross-functional teams to productionize data and ML use cases
•  Support and guide junior engineers on implementation and engineering best practices
•  Stay updated with new tools and technologies in backend, data, and cloud ecosystems
•  Work effectively in a collaborative team environment

Years of Experience •2+ years of software engineering experience. •Experience developing enterprise applications using Java and/or Python. •Experience building REST APIs and microservices. •Experience working with cloud-native applications and Agile software development. •Exposure to enterprise search platforms or retail/e-commerce applications is preferred.

Education Qualification & Certifications Required Minimum Qualifications •Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.

Primary Skills (must have) Strong programming skills in Python and SQL Experience building backend systems, APIs, and microservices Experience working with distributed systems and scalable system design Experience building and operating data pipelines and large-scale data processing systems Experience with CI CD, monitoring, and production system operations Experience deploying and managing applications using Docker and Kubernetes Hands-on experience with Google Cloud Platform services such as Vertex AI, BigQuery, Dataflow, Pub Sub, Cloud Storage, and GKE Experience working with machine learning frameworks such as TensorFlow or PyTorch in production environments Experience with model deployment, model monitoring, and model evaluation Experience with feature engineering, feature stores, and experiment tracking using tools such as MLflow or Kubeflow Understanding of cloud architecture, scalability, and reliability Experience in performance tuning and cost optimization Ability to design and build end-to-end systems from data ingestion to serving 

Secondary Skill

• Experience in retail or e-commerce domain
• Familiarity with real-time data processing and event-driven systems
• Knowledge of data governance and model explainability
• GCP certifications such as Professional ML Engineer or Cloud Architect
• Experience working with multiple cloud platforms such as AWS or Azure
• Exposure to workflow orchestration tools

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.