Qualifications Experience Minimum 8 years of experience in cloud infrastructure, SRE, DevOps, or platform engineering, with a robust solutioning and productization background. Minimum 5 years of hands-on experience with AWS and/or GCP infrastructure services, including compute, networking, storage, observability, and cost management domains. Minimum 3 years of experience designing and operating infrastructure for AI/ML workloads including foundation models, agent runtimes, vector databases, and GPU-based compute. Minimum 3 years of experience designing and packaging reusable infrastructure accelerators, landing zones, observability stacks, or automation templates. Minimum 3–5 years of Solution Planning and Deal Shaping experience, including RFP responses, staffing models, pricing inputs, solution estimations, and executive presentations. Proven hands-on experience with Infrastructure as Code (Terraform, CloudFormation, CDK, Deployment Manager) and Policy as Code (OPA, Sentinel). Proven experience leading reliability workshops, SRE reviews, discovery engagements, and value realization discussions with CTOs and infrastructure leaders. Demonstrated ability to translate business and reliability requirements into executable, packaged infrastructure architecture. Experience developing proof-of-concepts, pilot solutions, reusable accelerators, and innovation assets. Experience supporting cloud transformation, business modernization, and digital reinvention initiatives. Experience working across implementation, managed services, and transformation programs. Education Bachelor's degree or equivalent (minimum 12 years of work experience). Associate's degree with at least 6 years of relevant work experience.



Preferred Skills Deep understanding of cloud infrastructure operations across AWS and GCP, including reliability engineering, observability, autoscaling, cost governance, and incident response. Strong knowledge of AWS operations services (CloudWatch, X-Ray, Systems Manager, Auto Scaling, Cost Explorer, Budgets, Compute Optimizer, Control Tower, Config). Strong knowledge of GCP operations services (Cloud Monitoring, Cloud Logging, Cloud Trace, Autoscaler, Recommender, Billing Reports, Cost Management, Anthos Service Mesh). Hands-on expertise with Terraform, CloudFormation, CDK, and modular IaC design for reusable infrastructure patterns. Experience with observability platforms (Datadog, New Relic, Grafana, Prometheus, OpenTelemetry) and log management (ELK, Splunk). Experience with self-healing automation, SRE golden signals, error budgets, SLIs/SLOs, and chaos engineering. Experience with agentic AI infrastructure patterns: agent runtimes, foundation model inference (Bedrock, Vertex AI), vector databases (Pinecone, OpenSearch, Vertex Vector Search), and GPU orchestration. Familiarity with FinOps practices, cost allocation, chargeback/showback, and cloud spend optimization. Understanding of cloud-native architecture principles, containerization (Kubernetes, EKS, GKE), and microservices patterns. Experience with CI/CD pipelines for infrastructure assets (GitHub Actions, GitLab CI, CodePipeline, Cloud Build). Strong communication, storytelling, and executive presentation skills. Ability to lead complex, multi-stakeholder sales cycles and infrastructure discussions. Strong analytical, estimation, and solution planning capabilities. Expertise in Microsoft Office products including Excel, PowerPoint, and collaboration platforms. The candidate should have PE/VC mentality.

📌 RIS Agentic Infra Ops Accelerator Solution Architect Sr Manager (Bengaluru)
🏢 Accenture in India
📍 Bengaluru