Advanced Engineer Software (Analytics) [T500-28175]

Albertsons Companies India; Bengaluru; On-site; INR 3,800,000 - 5,400,000; Full time

Job summary

Albertsons Companies India seeks a senior engineer to lead data platforms within the Supply Chain Intelligence and Inventory Visibility portfolio. You will own architecture, APIs, and data processing for high-volume supply chain datasets.

You will implement GenAI-enabled automation, monitor reliability, and collaborate with global teams to deliver production-ready solutions and insights across Retail Operations and enterprises.

Qualifications

• Hands-on experience designing, building, and supporting cloud-native analytics and data platforms.
• Strong backend and full-stack capabilities with Java, Spring Boot, Python, and REST/GraphQL APIs.
• Experience with cloud analytics stacks including GCP, BigQuery, Dataflow, Kafka, and Data pipelines.

Responsibilities

• Provide senior technical ownership for supply chain data platforms and APIs end-to-end.
• Design, build, and maintain batch, streaming, and event-driven data processes at scale.
• Mentor engineers, collaborate with product, architecture, security, and analytics teams.

Skills

Java

Spring Boot

Python

REST APIs

GraphQL

BigQuery

Dataflow

Kafka

CI/CD

Docker

Kubernetes

GCP

SQL

Power BI

Looker

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

Databricks

Snowflake

Power BI

Looker

Kafka

Dataflow

BigQuery

Job description

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers' problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India:

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Why choose us:

Join the Supply Chain Intelligence and Inventory Visibility team to build, modernize, and support the platforms that help teams understand inventory health, supply chain movement, operational exceptions, and enterprise data consumption patterns. This role is for a hands-on senior engineer who wants to deliver practical business value through data engineering, cloud platforms, full-stack applications, APIs, observability, and AI-enabled automation.

Bring your flavor:

Bring a strong ownership mindset, engineering curiosity, and the ability to connect technical decisions to business outcomes. The right candidate will be comfortable operating across ambiguous problems, working with business and technology partners, mentoring engineers, and moving between platform support, solution design, development, deployment, and production troubleshooting.

What you will be doing:

• This individual contributor role has hands-on engineering responsibilities and senior technical ownership within the Supply Chain Intelligence and Inventory Visibility portfolio. The engineer will work closely with the Sr. Technology Director, product owners, architects, peer developers, business stakeholders, security, infrastructure, data engineering, BI, and distributed delivery teams to deliver reliable solutions for Retail Operations and Supply Chain business functions.
• The role supports a broad engineering footprint that includes data pipelines, data platforms, reusable APIs, full-stack user experiences, GenAI and agentic workflow solutions, monitoring, cloud cost optimization, production stability, release support, and cross-team enablement.

Main responsibilities:

• Hands-on technical leadership: Provide senior engineering guidance for architecture, design, development, deployment, monitoring, and production support of Supply Chain Intelligence and Inventory Visibility solutions.
• Platform ownership: Support and enhance platforms such as IMPACT, mVIEW, PI data services, Nexus, BOL/GenAI document extraction, barcode scanning capabilities, and enterprise reporting/data integrations.
• Software engineering: Design, build, and maintain batch, micro-batch, streaming, and event-driven processes for high-volume supply chain, inventory, transportation, merchandising, warehouse, store, and enterprise datasets.
• APIs and microservices: Build reusable APIs, backend services, and integration patterns that expose inventory and supply chain data to applications, dashboards, analytics, eCommerce, BI, Data Science, In-Stock, Catalog, ROAR, HERO, Smart Markdown, and other enterprise consumers.
• Full-stack development: Develop and support modern web applications, user workflows, admin screens, operational dashboards, barcode scanning experiences, alert interfaces, and reporting integrations with strong usability and performance.
• AI and automation: Design and deliver GenAI, RAG, document extraction, and agentic workflow solutions that improve productivity, automate manual processes, and unlock data from structured, semi-structured, and unstructured sources.
• Reliability and observability: Implement monitoring, Grafana dashboards, email alerts, logs, runbooks, data lineage, UI-to-API-to-data mappings, RCA tracking, and proactive support processes for critical data and application platforms.
• Cloud optimization: Improve cost, latency, scalability, and performance through BigQuery optimization, compute right-sizing, caching, Dataflow/DAG tuning, data retention policies, API reuse, and pragmatic architecture decisions.
• Enterprise standards: Develop and deploy applications using company software design, security, DevOps, infrastructure, API gateway, network, access, and production readiness standards.
• Modernization and migrations: Support upgrades and transitions across cloud platforms, orchestration tools, source systems, API management, Kafka integrations, Dataflow SDKs, Composer/Airflow versions, and enterprise data platforms.
• Collaboration and mentorship: Partner with business, product, architecture, security, infrastructure, analytics, and distributed engineering teams while mentoring engineers, contractors, and analysts through design reviews, troubleshooting, onboarding, and knowledge transfer.
• Leadership communication: Develop technical documentation, operational plans, architecture diagrams, recommendations, status updates, and leadership-facing presentations as needed.

We are looking for candidates who possess the following:

• 3+ years of hands-on experience in math/functional software engineering, cloud application development, platform engineering, or supply chain technology.
• Experience supporting supply chain, inventory, retail operations, merchandising, warehouse, transportation, replenishment, store operations, eCommerce, or enterprise operational data domains.
• Strong experience designing, building, and supporting production-grade analytical transformations, APIs, microservices, and cloud-native applications.
• Backend development experience using Java, Spring Boot, Spring Batch, Python, FastAPI, REST APIs, GraphQL, or similar technologies.
• Hands-on experience with cloud and analytics technologies such as GCP, BigQuery, Dataflow, Kafka, Cloud Composer/Airflow, Databricks, Snowflake, Azure Data Factory, GCS, SQL, or similar tools.
• Experience with databases and analytics platforms such as BigQuery, SQL Server, MongoDB, MySQL, DB2, Azure SQL, Power BI, Looker, or similar tools.
• Experience with messaging, event streaming, and integration patterns using Kafka, MQ, Pub/Sub, API gateways, RESTful APIs, ETL/ELT, or similar technologies.
• Experience with CI/CD, DevOps, containers, monitoring, and deployment tools such as GitHub, GitHub Actions, Jenkins, Docker, Kubernetes, GKE, AKS, Maven, SonarQube, Grafana, or equivalent tooling.
• Understanding of secure enterprise deployment patterns, including load balancers, APIM, network approvals, firewalls, certificates, service accounts, role-based access, external access patterns, and production readiness reviews.
• Strong ability to analyze complex issues where data, systems, business processes, and technical dependencies require in-depth evaluation of variable factors.
• Result-oriented mindset with the ability to work independently, lead through ambiguity, collaborate in Agile teams, and support production systems when issues arise.

Preferred qualifications:

• Experience with Inventory Visibility, Perpetual Inventory, Supply Chain Intelligence, Control Tower, Cost-to-Serve, Transportation, Warehouse, Replenishment, Merchandising, Retail BI, or enterprise inventory data consumption platforms.
• Experience building GenAI solutions such as document extraction, RAG assistants, LLM orchestration, AI agents, prompt workflows, Vertex AI/Gemini applications, LangChain/LangGraph workflows, Google ADK, A2A protocol, or conversational assistants.
• Experience modernizing legacy systems, migrating pipelines or source systems, upgrading orchestration platforms, and reducing latency for high-volume data flows.
• Experience designing reusable enterprise data/API consumption patterns for multiple downstream applications, dashboards, and analytics consumers.
• Experience optimizing cloud spend, query performance, application latency, data freshness, monitoring coverage, and production uptime.
• Experience mentoring engineers, contractors, and analysts across onshore, offshore, and nearshore teams.