Senior Engineer Cloud

About Albertsons Companies Inc.:

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.

Senior Engineer Cloud:

KEY RESPONSIBILITIES:

• Design and manage relational and non-relational data stores for observability workloads.
• Optimize database performance, indexing, query plans, and storage efficiency.
• Support data modeling for logs, metrics, traces, events, and platform metadata.
• Implement backup, recovery, replication, high availability, and disaster recovery strategies.
• Partner with platform, SRE, and data teams to support ingestion and query performance at scale.
• Monitor database health, capacity, and reliability in production environments.
• Contribute to security, access control, compliance, and operational governance.

REQUIRED QUALIFICATIONS:

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8+ years of database engineering or database administration experience.
• Strong SQL expertise with Postgres in production environments.
• Hands-on experience with NoSQL platforms such as MongoDB or CosmosDB and Neo4j.
• Experience with performance tuning, troubleshooting, and capacity planning.
• Proven ability to support mission-critical systems with high availability requirements.

MANDATORY SKILLS:

• SQL database engineering with Postgres in enterprise environments
• NoSQL database engineering with MongoDB or CosmosDB
• Working experience on Neo4j graph database
• Experience working on Azure and GCP
• Query optimization, indexing, schema design, and performance troubleshooting
• Backup, recovery, replication, high availability, and disaster recovery planning
• Capacity planning, data security, access control, and operational governance
• Support for observability-scale data workloads and production reliability
• Scripting experience using shell-script or Python

PREFERRED QUALIFICATIONS:

• Experience supporting observability platforms or telemetry data stores.
• Good-to-have experience with Grafana Loki, Mimir, Tempo, and Pyroscope.
• Exposure to cloud-managed databases and hybrid enterprise deployments.
• Experience with automation, infrastructure as code, and operational monitoring.
• Familiarity with data retention, partitioning, archiving, and lifecycle management.

KEY SKILLS:

• SQL, Postgres, MySQL, MongoDB, CosmosDB, Neo4j
• Performance tuning, HA/DR, backup and recovery, capacity planning
• Observability data stores, reliability, scalability, security, automation
• GooNGd-to-have: Grafana Loki, Mimir, Tempo, Pyroscope