Senior Engineering Leader (Cloud Engineer)

We are seeking an experienced Senior Engineering Leader – Cloud Engineering

to drive cloud strategy, architecture, foundational services, security,

optimization, and multi-cloud adoption across the enterprise. This role requires

deep expertise in consulting, talent development, and solution architecture, with

a focus on multi-tenant cloud environments, IAM, service control policies, cloud

migration strategies, DevOps in cloud, FinOps, resource optimization, cloud

observability, and data platforms.

As a strategic leader, you will work closely with Agile, Info Sec, DevOps, Quality,

and SRE teams to define and implement cloud best practices, automation, and Engineering Leader governance models that ensure scalability, security, and operational efficiency.

Key Responsibilities

• Cloud Strategy & Solution Architecture
  
  

Define and execute cloud engineering strategies that align with business and technology goals. Architect and implement multi-cloud, hybrid-cloud, and cloud-native solutions. Establish best practices for workload segmentation, cloud service catalog, and cloud adoption frameworks. Develop enterprise-wide cloud blueprints, ensuring standardization and security-first design.

Lead cloud migration strategies, including rehosting, re-platforming, and re-

architecting workloads.

Provide consulting on cloud-native application development, serverless

computing, and containerization.

• Multi-Tenant Cloud Foundation & Governance Architect multi-tenant cloud environments, enabling secure, scalable, and policy-driven cloud consumption.
  
  

Design and implement org/account/subscription models in AWS Organizations, Azure Management Groups, and GCP Folders.

Establish and enforce service control policies (SCPs), IAM roles, and access policies across cloud platforms.

Define cloud resource hierarchy strategies, ensuring proper segmentation for

security, cost, and compliance.

Implement policy-as-code frameworks to enforce security and compliance

controls across cloud environments.

• Identity & Access Management (IAM) & Security
  
  

Define enterprise IAM strategy, including federated identity, SSO, MFA, role-

based and attribute-based access control.

Implement least privilege access models, zero-trust architectures, and

identity governance frameworks.

Automate identity lifecycle management using tools like AWS IAM, Azure AD,

GCP IAM, Okta.

Establish cloud-native security frameworks, integrating CSPM, CWPP,

CNAPP, and SIEM solutions.

Ensure compliance with industry security standards (SOC 2, NIST, ISO

27001, PCI-DSS, FedRAMP).

• Cloud Service Catalog & Engineering Best Practices
  
  

Develop a self-service cloud service catalog, enabling teams to provision

pre-approved cloud resources.

Establish cloud engineering best practices, standardizing infrastructure

provisioning, tagging, and compliance.

Drive adoption of Infrastructure as Code (IaC) using Terraform, Pulumi, AWS

CDK, and CloudFormation.

Define patterns for workload segmentation, ensuring separation of concerns across environments.

Champion Cloud Smart Adoption frameworks, balancing agility, security, and

cost optimization.

• Cloud Migration & Application Modernization
  
  

Lead enterprise-wide cloud migration efforts, applying 6R migration

strategies (Rehost, Re-platform, Refactor, etc.).

Optimize application architectures for cloud-native deployment, leveraging

serverless, Kubernetes, and microservices.

Develop cloud workload placement strategies, ensuring resilience,

performance, and cost-effectiveness.

Enable data platform migrations, ensuring smooth transition of databases,

data lakes, and streaming architectures.

Partner with engineering teams to modernize legacy workloads using

containerization, event-driven architectures, and AI/ML services.

• DevOps and Automation in Cloud
  
  

Define and implement DevOps best practices in cloud environments, ensuring

scalable CI/CD pipelines.

Develop cloud-native automation frameworks using GitOps, Kubernetes

operators, and serverless automation.

Drive AI/ML-based cloud automation, enabling self-healing infrastructure

and intelligent scaling.

Standardize release automation workflows, improving deployment speed and

reducing change failure rates.

Collaborate with platform teams to build developer-friendly cloud

environments with embedded security controls.

• Cloud Security, Resilience & Compliance
  
  

Implement cloud security frameworks, ensuring end-to-end data protection,

encryption, and compliance.

Define resilience engineering principles, ensuring high availability, failover

mechanisms, and disaster recovery strategies.

Conduct cloud risk assessments, ensuring adherence to cloud security

posture management (CSPM) best practices.

Integrate zero-trust security models, identity-aware proxies, and runtime

security solutions.

Partner with InfoSec teams to embed security within DevOps (DevSecOps)

and cloud-native security tooling.

• Cloud Optimization with FinOps & Resource Optimization
  
  

Drive cloud cost optimization strategies, ensuring maximum ROI for cloud

investments.

Establish FinOps best practices, enabling real-time visibility into cloud spend

and usage patterns.

Implement automated cost governance policies, ensuring adherence to

budget and forecasting models.

Optimize resource allocation, autoscaling policies, and workload scheduling

to reduce cloud waste.

Educate teams on cost-conscious cloud engineering, implementing reserved

instances, spot instances, and savings plans.

• Cloud & Data Platform Observability & Monitoring
  
  

Define cloud observability strategies, ensuring real-time visibility across

infrastructure and applications.

Implement centralized logging, tracing, and monitoring using Datadog, New

Relic, Prometheus, OpenTelemetry.

Build AI-driven predictive analytics models for proactive incident prevention

and anomaly detection.

Establish SLOs, SLIs, and error budgets to track cloud service reliability and

performance.

Develop end-to-end cloud monitoring frameworks, integrating network,

compute, database, and API observability.

• Talent Development & Thought Leadership
  
  

Mentor and coach cloud engineering teams, fostering a culture of innovation

and excellence.

Define career progression frameworks, enabling skill development for

engineers at all levels.

Lead cloud training initiatives, including certification programs, workshops,

and hands-on labs.

Stay ahead of emerging cloud trends, engaging in industry forums,

conferences, and open-source contributions.

Drive a collaborative, security-first, and automation-driven cloud culture

across the organization.

Required Qualifications & Experience

Technical Expertise

15+ years of experience in cloud engineering, architecture, and DevOps.

Strong expertise in AWS, Azure, GCP, and multi-cloud architectures.

Deep knowledge of cloud identity, access management, and security.

Hands-on experience with Infrastructure as Code (Terraform, Pulumi,

CloudFormation, Ansible).

Proficiency in FinOps, cloud cost management, and cloud governance.

Strong background in DevOps automation, CI/CD, Kubernetes, and

serverless.

Experience in cloud monitoring, observability, and AI-driven operations.

Leadership & Consulting Skills

Proven experience in leading large-scale cloud transformations.

Ability to influence executive leadership and shape technology roadmaps.

Experience mentoring and growing high-performing cloud engineering

teams.

Excellent problem-solving, communication, and stakeholder management

skills.

Skills: cloud applications,data platforms,cloud governance,devops,cloud observability,ai/ml services,devops practices,iam,serverless computing,cloud migration,solution architecture,multi-cloud environments,finops,terraform,ci/cd,infrastructure as code (iac),cloud migration strategies,containerization,devsecops,resource optimization,kubernetes,automation,cloud engineering,engineering leadership