Cloud Engineer

About the Role

In this role, you will report to the Manager – Cloud Operations. As a Cloud Engineer, you will lead operations, architecture and engineering across multiple cloud providers (Azure, AWS, GCP), defining and operating secure, scalable, and cost‑effective cloud platforms and reference architectures for the Corporate division. You will partner closely with infrastructure and development teams to accelerate delivery through AI‑enabled capabilities and automation, while ensuring strong GRCSP (governance, risk, compliance, security, and privacy) by design.

You will be part of a global team distributed across India, USA, Mexico, and Europe - providing 24/7 cloud services.

• Own and evolve multi‑cloud operations and collaborate in architecture (Azure, AWS, GCP), including target‑state designs, reference architectures, and platform standards.
• Drive cloud engineering decisions across providers: landing zones, networking, identity, compute, storage, observability, resiliency, and service catalog patterns.
• Collaborate with other Cloud Operations team members to handle deploying and managing cloud resources in a multi‑cloud environment.
• Act as a business liaison for cloud: translate business objectives into technical roadmaps, and align stakeholders across infrastructure, application development, and security teams.
• Enable AI and modern platform capabilities (e.g., data/AI services, MLOps patterns, secure access to foundation models) in collaboration with product and engineering teams.
• Lead automation strategy and implementation for Cloud Operations using Infrastructure as Code and CI/CD (e.g., Terraform/Cloud Formation/Bicep), policy‑as‑code, and self‑service workflows.
• Design and enforce GRCSP guardrails: governance frameworks, risk management, compliance requirements, security baselines, and privacy controls across all cloud platforms.
• Establish cloud security architecture patterns (identity, encryption, network segmentation, secrets management) and partner with SOC/GRC teams to remediate findings.
• Collaborate in architecture reviews for new initiatives and major changes; ensure designs meet non‑functional requirements (availability, performance, security, compliance, operability, and cost).
• Drive cost management and Fin Ops practices: tagging/chargeback models, unit economics, rightsizing, commitment programs, and architectural tradeoffs.
• Partner with IT Operations on reliability and incident learnings (post‑incident reviews, problem management), driving platform improvements and preventive controls.
• Create and maintain cloud standards, blueprints, and documentation; provide guidance, workshops, and coaching to engineering teams to accelerate adoption.
• Collaborate in defining and tracking a cloud architecture roadmap and key outcomes (security posture, compliance adherence, automation coverage, platform reliability, and cost efficiency) across the Corporate division.
• Evaluate cloud services, security tooling, and automation platforms; make recommendations and guide implementation with a focus on standardization and reuse.
• Build and report cloud posture metrics (GRCSP controls, audit readiness, security remediation progress, cost optimization, and automation maturity) to support decision‑making.
• Collaborate with a diverse, globally distributed team and communicate architecture decisions clearly to technical and non‑technical audiences.

• Master's degree or Bachelor's degree with relevant experience in Computer Science, Information Technology, Engineering, or a related field.
• 7+ years of experience in cloud engineering and architecture, with proven delivery on at least two major cloud platforms (Azure, AWS, GCP).
• Strong knowledge of cloud and platform architecture fundamentals: networking, DNS, load balancing, identity and access management, compute/container platforms, storage, and resilience patterns.
• Hands‑on experience designing for GRCSP: governance and policy controls, risk management, security architecture, privacy‑by‑design, and audit/compliance readiness in cloud environments.
• Proficiency with AI integration with automation and Infrastructure as Code (e.g.,…