Cloud Infrastructure & Platform Specialist (Databricks + AWS + Azure) (Mid-Level

About Irth Solutions

Irth Solutions is a leading provider of cloud-based SaaS software for damage prevention, asset integrity, stakeholder engagement and land management, helping energy, utility, telecom, and infrastructure companies protect their critical network infrastructure. With nearly three decades of industry experience, Irth serves customers across North America and continues to expand its platform with new data-driven and AI-powered capabilities.

Cloud Infrastructure & Platform Specialist – Insights (AI/ML)

Location: Remote – India
Department: Insights (AI/ML) – Platform Engineering
Reports to: Data Platform & Analytics Manager
Experience: 3–5 years

About the Role

Irth is building a governed, multi-cloud data estate on Databricks to power cross-product insights across Damage Prevention, Asset Integrity Pipeline, Land Management, and Stakeholder Management.

We are looking for a Cloud Infrastructure & Platform Specialist to own and operate the underlying cloud and Databricks infrastructure that enables our Data Engineering, Data Science, and MLOps teams to build and deliver data and AI solutions.

You will be the go-to engineer for infrastructure provisioning, identity and access management, Databricks administration, networking, security, and platform onboarding. You will help provision workspaces and catalogs, manage IAM roles and administrative access, establish secure platform guardrails, and resolve infrastructure bottlenecks so engineering teams can onboard and ship efficiently.

This role is ideal for a mid-level cloud/platform engineer who enjoys solving infrastructure problems, automating repetitive tasks, and serving as the technical enabler for other engineering teams.

Key Responsibilities

1. Cloud Infrastructure Provisioning & Management

• Provision, configure, and manage core cloud infrastructure across AWS and Azure supporting Irth’s Databricks-based data estate.
• Manage infrastructure components including:
• • VPCs / VNets
  • Subnets
  • Route tables and network connectivity
  • S3 buckets / Azure Storage Accounts
  • Compute resources
  • Private endpoints and related networking services
• Establish and maintain secure DEV, QA, and PROD environments with appropriate isolation and platform guardrails.
• Support cloud landing-zone implementation and ensure environments follow established security, governance, and cost policies.
• Use Infrastructure-as-Code (IaC) technologies such as:
• • Terraform
  • Azure ARM/Bicep
  • AWS CloudFormation
• Version, review, test, and deploy infrastructure changes through controlled engineering workflows.
• Troubleshoot infrastructure, networking, and cloud-service issues affecting data and ML workloads.

1. Identity & Access Management (IAM)

• Provision and manage IAM roles, service principals, managed identities, groups, and access policies across AWS, Azure, and Databricks.
• Implement least-privilege access and role-based access control (RBAC) aligned with enterprise security standards.
• Configure and support identity federation and automated identity lifecycle management using technologies such as:
• • SSO
  • SCIM
  • SAML
  • OAuth
• Manage access across cloud resources, Databricks workspaces, Unity Catalog, storage, compute, and other platform services.
• Review and process elevated or administrative access requests through controlled and auditable procedures.
• Balance engineering-team productivity with security, compliance, and least-privilege requirements.
• Participate in periodic access reviews and remediation of excessive or inappropriate permissions.

1. Databricks Platform Administration & Team Onboarding

• Create, configure, and administer Databricks workspaces and associated platform resources.
• Configure and manage Unity Catalog metastores, catalogs, schemas, storage credentials, external locations, and permissions.
• Support onboarding of Data Engineering, Data Science, and MLOps projects by establishing the appropriate platform resources and access.
• Troubleshoot onboarding blockers, including:
• • Missing administrative privileges
  • Cluster-policy conflicts
  • Workspace configuration issues
  • Catalog and schema permission problems
  • Storage-access failures
  • Identity and authentication issues
• Define and maintain Databricks cluster policies to control compute configurations, security, and cost.
• Configure instance profiles, managed id…