IAM & Cloud Migration Consultant

Job Description

Company: Intracruit Solutions

Location: Dallas, US

Job Title: IAM & Cloud Migration Consultant (AWS → GCP) — Python / Terraform

Locations: Dallas, TX (Onsite) and San Francisco, CA (Onsite)

Interview: In-person interviews – need local candidates only

Overview

We are seeking experienced IAM and cloud migration consultants to lead AWS-to-GCP migration efforts, design secure identity architectures, and automate infrastructure using Terraform and Python. Candidates will work onsite with engineering and security teams to deliver production-grade platform migration, IAM design/implementation, and automation for enterprise workloads.

Key Responsibilities
• Lead and execute AWS to GCP migration activities for application and platform workloads.
• Design, implement, and operate GCP IAM solutions: roles, permissions, service accounts, conditions, and security policies.
• Build and maintain infrastructure as code using Terraform: reusable modules, remote state, environments/workspaces, and CI/CD integrations.
• Develop Python automation for provisioning, deployment, IAM management, monitoring, and incident remediation.
• Deploy and operate GKE clusters, containerized workloads, and related networking/load-balancer configurations.
• Create and maintain CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Cloud Build) for infrastructure and application deployments.
• Implement monitoring, logging, and observability for migrated applications and infrastructure.
• Collaborate with architects, application teams, security, and operations to ensure secure, compliant migrations.
• Troubleshoot production incidents, do root-cause analysis, and implement long-term fixes.
• Document designs, runbooks, and standard operating procedures.

Required Qualifications — Advanced (Senior) (80–85/hr)
• 5+ years cloud infrastructure experience; 3+ years specifically with GCP.
• Proven experience leading AWS-to-GCP migrations, including replatforming or lift-and-shift strategies.
• Deep hands-on GCP experience (Compute Engine, GKE, Cloud Storage, VPC, Pub/Sub, Cloud Build, Monitoring & Logging).
• Strong Terraform expertise: writing reusable modules, state management, workspaces, CI/CD automation, and IaC best practices.
• Advanced Python scripting experience for automation and integrations (GCP SDK, requests, REST APIs).
• Solid Kubernetes experience (GKE operations, helm, pod troubleshooting).
• Hands-on with CI/CD tools and containerization workflows (GitHub Actions, Jenkins, Cloud Build, Docker).
• Strong Linux administration and networking fundamentals (DNS, TCP/IP, VPNs, firewall rules).
• Experience designing and implementing IAM (roles, policies, service accounts) at scale.
• Excellent communication skills; experience working onsite with cross-functional teams.

Required Qualifications — Intermediate (70–75/hr)
• 2–4 years of GCP experience and 2+ years Terraform and Python experience.
• Practical experience with GCP core services (Compute Engine, GKE, Cloud Storage, VPC, IAM).
• Comfortable writing Terraform modules, managing remote state, and applying IaC best practices.
• Python scripting for automation, SDK usage, and basic REST integrations.
• Familiar with CI/CD pipelines and basic container/Kubernetes operations.
• Strong troubleshooting skills for cloud infrastructure and production support.
• Good collaboration and communication skills.

Technical Must-Haves (both levels)
• GCP: Compute Engine, GKE, Cloud Storage, VPC, IAM, Pub/Sub, Cloud Build, Monitoring/Logging.
• Terraform: reusable modules, remote state, workspaces/environments, plan/apply discipline.
• Python: scripting, GCP SDK usage, automation tasks.
• CI/CD & DevOps: GitHub Actions/Jenkins/GitLab CI/Cloud Build, Docker.
• Kubernetes: Docker images, K8s manifests, Helm basics, GKE troubleshooting.
• Linux & Networking fundamentals.

Nice-to-Have
• Vertex AI / MLOps exposure
• Ansible or other configuration management tools
• Observability: Prometheus, Grafana, Datadog
• Cloud security/compliance experience (CIS, IAM policy hardening)
• Multi-cloud experience (AWS/Azure) and migration tools
• FinOps / cost optimization experience
• Terraform Enterprise / Sentinel experience

Behavioral & Soft Skills
• Proven ability to work onsite with engineering and security stakeholders.
• Strong documentation and runbook creation skills.
• Self-starter, able to work independently and mentor junior engineers.
• Comfortable in an Agile/Scrum environment and on-call rotation.

Interview & Hiring Logistics
• Interview type: In-person technical interviews (hands-on whiteboard or laptop), followed by behavioral panel.
• Dallas & San Francisco: candidate must be able to work onsite full-time for the contract duration.
• Expected start: immediate to 4 weeks.
• Contract length: typical 6–12 months with possible extensions.

Source: LinkedIn