{"id":3600204,"url":"https://alion.io/job/lowes-software-engineer-4","title":"Software Engineer","company":{"id":1753694,"name":"Lowe's","domain":"lowes.com","url":"https://alion.io/company/lowes-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Druid","optional":false},{"name":"GCP","optional":false},{"name":"Great Expectations","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Presto","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Time Series","optional":false},{"name":"Trino","optional":false},{"name":"Vertex AI","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T08:03:23Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-06T20:22:36Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Innovate in Bengaluru\nThis 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.\nAbout Lowe's:\nLowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. 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.\nAbout Lowe's India:\nLowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India\nAbout The Team:\nLowe’s Demand Forecasting team, commonly known through its Lowe’s Internal Forecast Tool (LIFT), develops and operates data-driven forecasting capabilities that improve demand-planning accuracy and reduce manual intervention. The team applies time-series analysis and AI/ML models to support supply-chain efficiency, inventory optimization, and fulfillment decisions. Its forecasts span weekly item-location demand across Lowe’s stores, store-level sales for labor planning, new-store sales estimates, truck arrivals, and transportation shipment volumes. The team’s work is central to inventory ordering, allocation, replenishment, and exception management. By incorporating trends, seasonality, and market intelligence, it creates demand and sales forecasts that support planning partners across supply chain, merchandising, inventory fulfillment, and transportation.\nJOB SUMMARY\nThe primary purpose of this role is to design, build, and operate scalable software and machine learning solutions that enable Data & AI-driven products. The role combines strong software engineering fundamentals with ML/MLOps, data engineering, cloud-native development, and AI-enabled engineering practices.\nThe engineer will contribute across the full Software Development Lifecycle (SDLC), from solution design and development through testing, deployment, production support, and continuous improvement. Key responsibilities include building robust data and feature pipelines, productionizing and scaling ML models, optimizing model training and inference, and implementing model monitoring and lifecycle management.\nThe ideal candidate will apply software engineering rigor to ML workloads, leverage AI/ML platforms and automation to accelerate experimentation and deployment, and partner with Data Science, Data Engineering, Product, and Engineering teams to deliver reliable solutions that enable faster, data-driven business decisions.\nKey Responsibilities\nDesign, develop, test, deploy, and support scalable, secure, and maintainable software and ML solutions, including backend services, APIs, cloud-native applications, data integrations, and ML-enabled services supporting Forecasting and AI products.\nTranslate business and functional requirements into technical designs and high-quality implementations, contributing across the full Software Development Lifecycle (SDLC).\nBuild and maintain data ingestion, transformation, preprocessing, feature engineering, and post-processing pipelines to support ML model training, experimentation, and inference.\nPartner with Data Scientists and Data Engineers to translate model requirements into production-ready engineering solutions and ensure high-quality, reliable data is available for model development and execution.\nSupport the end-to-end ML lifecycle, including experimentation, model registration and versioning, testing, deployment, orchestration, inference, and ongoing model management using enterprise AI/ML platforms.\nDevelop and maintain CI/CD and automation pipelines for software, data pipelines, and ML models to enable reliable and repeatable testing and deployments.\nImplement monitoring and observability for applications, data pipelines, and ML models, including system health, data quality, model performance and drift, and operational metrics.\nOptimize software, ML workloads, and data pipelines for performance, scalability, reliability, and cost efficiency across cloud and enterprise platforms.\nApply engineering best practices including secure coding, code reviews, automated testing, documentation, performance optimization, data governance, security, and compliance.\nSupport production systems through monitoring, incident resolution, root-cause analysis, troubleshooting, and continuous reliability improvements.\nCollaborate with Product, Data Science, Data Engineering, Architecture, Security, Infrastructure, and business teams to deliver reliable Forecasting and AI capabilities that support business decision-making.\nParticipate in technical design discussions and code reviews, contribute to engineering standards, share knowledge with team members, and evaluate modern technologies, AI-enabled development tools, and automation to continuously improve software quality and engineering productivity.\nEDUCATION QUALIFICATIONS\nRequired\nBachelor’s degree in computer science, computer information systems, or related field or equivalent years of experience in lieu of education requirement, if applicable\nPreferred\nMaster’s degreein computer science, CIS, or related field\nWork Experience\nRequired\n2 years of experience in software development or a related field\n2 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) through iterative agile development\n2 years experience working with any of the following: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps.\nMinimum 2 years of experience in applications powered by AI/ML with large dataset and Data Engineering.\n2 years experience working with any of the following: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps.\nMinimum 2 years of experience in applications powered by AI/ML with large dataset and Data Engineering.\nHand-on experience (real-time) & proficiency in building robust, reliable & scalable data/ML pipelines for Analytics & AI/ML systems, working with large sets of structured and unstructured data from disparate sources.\nMLOps tools and frameworks such as MLflow, Kubeflow or Vertex AI.\nFoundational understanding of ML models\nStrong understanding of cloud platforms (GCP, AWS or Azure).\nExperience managing model registry and implementing versioning best practices.\nModel Serving Frameworks\nSQL\nPython\nPySpark\nBig Data systems - Hadoop Ecosystem (HDFS, Hive, MapReduce) or Cloud\nAnalytics database like Druid, Data visualisation/exploration tools like Superset.\nCICD\nGIT\nPreferred\n 2 years of experience writing technical documentation in a software environment and developing and implementing business systems within an organization\nApache Airflow, Cloud Composer\nGCP cloud experience, Big Query\nTrino/Presto\nExperience working on Data Quality/Integrity theme, Tools like Great Expectations.\nDomain experience on retail forecasting or any other business forecast predictions/time series forecasting.\nLowe'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.","description_format":"text","description_chars":8473,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems","Tools & DIY Supplies","Kitchens, Bathrooms & Home Improvement"],"lifecycle":[{"event":"open","at":"2026-11-02T08:03:23Z"}],"visa":[],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.812,"p_room":0.75,"age_days":3,"expected_fill_days":5,"reasons":["conf:1","velocity","win:late","comp:junior,brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/lowes-software-engineer-4","json_url":"https://alion.io/job/lowes-software-engineer-4.json","meta":{"generated_at":"2026-11-06T23:28:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3039,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1753694},"rest":"https://alion.io/mcp/rest/get_company?id=1753694"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flowes-software-engineer-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flowes-software-engineer-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flowes-software-engineer-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lowes-software-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flowes-software-engineer-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3600204}},{"tool":"search_jobs","arguments":{"company":"lowes.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3600204},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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