Cloud Platform Engineer Consultant/Senior Consultant

Allstate India Private Limited; Bengaluru, Pune District; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Allstate India Private Limited is seeking a Platform Engineer Senior Consultant II to build and operate cloud platform development and hosting platforms. The role focuses on owning, implementing, and running Allstate cloud platforms, while developing self‑service tools for developers to build and deploy cloud‑native apps.

The position emphasizes paired programming, test‑driven development, and continuous delivery within a collaborative team.

Qualifications

• 5+ years of relevant experience in platform engineering or cloud platform management.
• Knowledge of prompt engineering and AI open‑source ecosystem.
• Experience with Azure and AWS AI services.
• Experience with Terraform development.
• Understanding of LLM/Foundational model APIs.

Responsibilities

• Own and operate cloud platform infrastructure and self‑service tooling for developers.
• Lead automation and infrastructure as code initiatives using Terraform.
• Collaborate with product and engineering teams to deliver scalable AI-enabled cloud solutions.
• Coach junior team members and promote paired programming and TDD practices.
• Engage with customers and internal teams to ensure effective platform adoption.

Skills

Cloud platforms

Generative AI

Agentic AI

Python

Tools

Terraform

Job description

Job Summary

The Platform Engineer is a full stack engineer who builds and operates the cloud application development and hosting platforms for Allstate. This role will have the primary accountability of owning, developing, implementing and operating Allstates Cloud platforms. This role will also encompass developing, building, administering, and deploying self-service tools that enable Allstate developers to build, deploy and operate cloud native applications. As a Platform Engineer Senior Consultant II, they will be part of an engineering team primarily working in a paired programming team, collaborating with different team members. They will split time evenly in executing operational tasks to maintain the platform and servicing customer requests; and engineering new solutions to automate the build and operational tasks. They will serve as pair anchors being advocates of paired programming, test driven development, infrastructure engineering, and continuous delivery on the team.

Key Responsibilities

• Provide in-depth expertise in GenAI on Azure and AWS cloud platforms to support and enhance technical relationships with clients. This includes delivering product and solution briefings, creating demos, executing proof-of-concept projects, and collaborating directly with product management to prioritize solutions that drive consumer adoption of Azure AI Foundry, Azure AI Services, OpenAI, Agentic AI, Vertex AI, AWS Bedrock, AWS Sagemaker.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Azure/AWS/GCP AI.
• Be a trusted advisor to our consumers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture.
• Leverage a strong understanding of product, design and business priorities to solve high impact, highly complex problems.
• Provide thought leadership, innovative ideas, and deliver cutting edge technical solutions across engineering/product teams
• Engages in conversation with consumers and collaborates with account and partner teams to drive and qualify new opportunities, understand key technical objections, and resolve technical blockers.
• Champions the engineering practices and helping teams define and setup frameworks using Terraform and automation
• Maintain and enhance existing Terraform codebase.
• Coaches junior team members.
• Ability to present ideas and solutions.

Experience

• 5 or more years of experience (Preferred)
• Knowledge of Prompt Engineering and AI open-source ecosystem.
• Experience and skills with Azure Application and AI services.
• Experience with AWS bedrock(Preferred)
• Experience with Vertex AI (Preferred)
• Knowledge of consuming large language model (LLM) and Foundational model APIs.
• Experience in Terraform development.

Skills

• Cloud Platforms: Azure, AWS, Google
• Generative AI
• Agentic AI
• Programming Languages: Python
• Infrastructure as Code (IaC): Terraform (including Tofu/Env0 tools)