Senior Staff Engineer DevOps - GCP [T500-20658]

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.

Position Title : Senior Staff Engineer DevOps

Job Description :

Roles & responsibilities :

Cloud Infrastructure & Platform Engineering

Architect and manage resilient, cost-efficient infrastructure on Microsoft Azure and Google Cloud Platform (GCP).

Design and implement workflows using :

Cloud Composer for orchestration.

Dataflow for real-time and batch data processing.

Dataproc for scalable Spark / Hadoop workloads.

Expertise with Data bricks and ADF

Vertex AI for integrating ML models into production pipelines.

Implement secure access control and policy enforcement using GCP IAM and Azure RBAC.

Integrate NoSQL databases (e.g., Cosmos DB, Fire store, Bigtable) for scalable, low-latency data storage.

Containerization & Orchestration :

Lead deployment and lifecycle management of containerized applications using Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE).

Implement autoscaling, ingress controllers, and service mesh technologies (e.g., Istio) to enhance microservices performance and security.

CI / CD & DevSecOps

Architect enterprise-grade CI / CD pipelines using GitHub Actions, enabling secure, automated, and repeatable deployments across cloud environments.

Champion DevSecOps by embedding security, compliance, and quality gates into the software delivery lifecycle.

Promote GitOps and policy-as-code practices for consistent, auditable infrastructure changes.

Streaming & Messaging Infrastructure

Architect and manage Apache Kafka and Confluent Kafka for real-time data streaming and distributed messaging.

Integrate Cloud Pub / Sub for scalable, event-driven communication across services.

Observability & Reliability Engineering

Define and implement observability strategies using Azure Monitor, Prometheus, Grafana, ELK Stack, and GCP Operations Suite.

Establish and enforce SLAs, SLOs, and SLIs to ensure system reliability and performance.

Lead incident response, root cause analysis, and resilience engineering efforts.

Infrastructure Automation & IaC

Drive adoption of Infrastructure-as-Code (IaC) using Terraform, Bicep, and ARM templates.

Automate infrastructure provisioning and operational workflows using Python, Bash, PowerShell, and Cloud Functions.

Experience Required :

Required Qualifications :

12+ years of experience in DevOps, SRE, or Cloud Infrastructure roles, with 3+ years in a senior technical leadership or staff-level capacity.

Deep expertise in :

Microsoft Azure and Google Cloud Platform (GCP) services and architecture.

AKS, GKE, and container orchestration.

Apache Kafka, Confluent Kafka, and Cloud Pub / Sub.

CI / CD pipeline development using GitHub Actions or equivalent.

Observability tools : Azure Monitor, Prometheus, Grafana, ELK, GCP Monitoring.

Scripting and automation (Python, Bash, PowerShell).

Infrastructure-as-Code (Terraform, Bicep, ARM templates).

Cloud Composer, Dataflow, Dataproc, Vertex AI, and NoSQL databases.

Proven experience in system design, incident management, and cross-functional collaboration.

Preferred Qualifications :

Experience with Develops, GitOps, and service mesh technologies.

Exposure to multi-cloud or hybrid cloud environments.

Experience with chaos engineering, disaster recovery, and cost optimization.

Strong communication, stakeholder engagement, and mentoring skills.

Competencies :

Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.

Foster innovation through creativity to get to a workable solution. Use analytical thinking through issues using logic and reason

Show integrity in what is done and how it is done - without sacrificing personal / business ethics.

Embrace an inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions

Team-oriented, positively contributing to team morale and willing to help.

Learning-Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally

Think strategically and proactively anticipate future problems, needs or changes in the work

Delighting our customers and maintaining customer relationships are top priority and they work to always deliver solutions through this lens

Skills Required :

Cloud Infrastructure & Platform Engineering – Azure / Google Cloud Platform (GCP) / Cloud Composer / Dataflow / Dataproc / Vertex AI / GCP IAM / Azure RBAC / Cosmos DB / Firestore / Bigtable

Containerization & Orchestration – Azure Kubernetes Service (AKS) / Google Kubernetes Engine (GKE) / Autoscaling / Ingress Controllers / Istio (Service Mesh)

CI / CD & DevSecOps – GitHub Actions / CI / CD pipeline development / GitOps / Policy-as-Code / DevSecOps (security, compliance, quality gates)

Streaming & Observability Engineering – Apache Kafka / Confluent Kafka / Cloud Pub / Sub / Azure Monitor / Prometheus / Grafana / ELK Stack / GCP Operations Suite / SLA-SLO-SLI management

Infrastructure Automation & Scripting – Terraform / Bicep / ARM Templates / Python / Bash / PowerShell / Cloud Functions / Infrastructure-as-Code (IaC) / Automation workflows