Sr. D&T System Reliability Engineer

Position Title Sr. D&T System Reliability Engineer Function/Group Digital & Technology Location Mumbai/Pune Shift Timing Regular Role Reports to Manager –SRE Remote/Hybrid/in-Office Hybrid ABOUT GENERAL MILLS We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. JOB OVERVIEW KEY ACCOUNTABILITIES · Provide technical expertise and guidance across the SRE team, acting as a subject matter expert and leading the best practice techniques in implementing SRE practices. · To help the SRE team in ensuring technical assurance in significant projects, for the delivery of quality technical deliverables, which may involve several teams or technologies. · Help delivering SRE objectives/ priorities like implementing strategic framework of Monitoring and Observability scaling across multiple stakeholders. · Collaborate with tech leads and application architects to build new infrastructure in cloud and ensure the stability and scalability of our internal systems. · Help teams in Observability, eliminating Tech Debts, Tech Resilience and Automation and AI capabilities · Ensure SLOs with SLIs for services so that the organizations can ensure that their operational objectives are closely aligned · Implement new technologies to build the future of Application Hosting capabilities and how applications are built and delivered.  · Investigate and resolve complex and multi-faceted issues, spanning the entire technology stack, which require working across teams and technology boundaries. · Proactively improve site reliability and key metrics, such as up-time, application performance, time to issue resolution, time spent resolving incidents and other key operational SLAs  Primary Experience and Expertise A total of 6-8 years of experience in designing, automation, solution deployment (infrastructure/ platforms/ applications) on hybrid cloud, preferably an AI native approach. 3+ years of experience in GCP and Infrastructure as a code (IaC) tool like Terraform , Ansible, Google Cloud Deployment Manager, Azure Resource Manager, designing cloud solutions etc. In-depth understanding of Monitoring and Observability Tools like Datadog, GCP/Azure Cloud Monitoring/ Grafana/ Splunk/ Instatus. Experience in Open Telemetry. Expertise in CI/CD pipelines, GitOps .Hands-on experience with GitHub, GitHub Actions, HashiCorp Vault and other DevOps toolchains.  Experience in operating AIOps (Moogsoft, BigPanda, etc) Experience in Gen AI & Agents/Agentic AI driven observability, Auto-remediations. Experience in Intelligent DevOps/CI-CD toolchains infused by Cloud-native AI agents /framework. Proficiency in scripting and automation using Python, Bash, or similar languages. Experience in troubleshooting and debugging deployment pipelines and DevOps toolset. Strong knowledge of containerization, Kubernetes, and cloud platforms (GCP, Azure) and deployment pipelines using GitHub Actions workflow. Proven Track Record of improving system reliability, performance, and scalability in complex systems. Good knowledge of Linux and/or Windows Administration and troubleshooting. Strong Problem-Solving Skills and the ability to make decisions under pressure. Experience working in Agile teams, defining SLO’s and SLI’s for products. Excellent Communication Skills to effectively collaborate with cross-functional teams. Desired knowledge in multiple areas: Deployment, building, scanning, and monitoring of the applications in Cloud (GCP) Traffic load balancers such as GCP Load balancers, F5, etc. Networking protocols and topography, Firewalls, DNS, TCP/IP, HTTP  Kafka and Elastic.  Debugging tools Server configuration and hardening SRE practices and cloud solutioning and ways of working through multi-disciplinary teams, business frameworks and culture. Preferred Qualification Master’s Degree in Computer Science, Engineering, Information Technology, or a related field. GCP (or equivalent cloud provider) Certifications such as – DevOps / Engineer / Professional Cloud Architect certification.