Lead Cloud Engineer

Role & responsibilities:

1. Cloud Architecture & Design

• Lead design and implementation of scalable, secure, and highly available cloud solutions.
• Develop multi-cloud or hybrid cloud strategies when needed.
• Optimize cloud infrastructure for cost, performance, and reliability.

2. Infrastructure Management

• Manage infrastructure as code (Terraform, CloudFormation, ARM templates).
• Ensure deployment automation, CI/CD pipelines, and robust monitoring systems.
• Oversee cloud networking, storage, compute, and security configurations.

3. Team Leadership & Mentoring

• Lead a team of cloud engineers, DevOps engineers, or SREs.
• Mentor junior and mid-level engineers, conduct code and architecture reviews.
• Allocate resources and manage project timelines.

4. Collaboration & Stakeholder Management

• Work closely with product, development, and security teams to define cloud requirements.
• Communicate technical concepts clearly to non-technical stakeholders.
• Participate in strategic planning for cloud adoption and digital transformation.

5. Security & Compliance

• Implement security best practices: IAM policies, encryption, compliance standards (ISO, SOC2, GDPR where applicable).
• Conduct regular cloud audits and ensure data protection.

6. Monitoring, Performance & Cost Optimization

• Set up monitoring, logging, alerting, and incident response processes.
• Analyze cloud resource usage and optimize costs.
• Identify and resolve performance bottlenecks.

Preferred candidate profile:

1. Experience & Background

• 5 to 10 years of experience in cloud engineering, DevOps, or systems architecture.
• Proven experience leading cloud projects and/or teams.
• Strong background in AWS, Azure, or GCP; multi-cloud experience is a plus.

2. Technical Skills

• Proficiency in IaC (Terraform, CloudFormation, ARM Templates).
• Containerization & orchestration: Docker, Kubernetes, OpenShift.
• CI/CD pipelines: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Cloud security & compliance knowledge (IAM, encryption, SOC2, ISO 27001).
• Scripting and automation: Python, Bash, PowerShell.

3. Education & Certifications

• Bachelors degree in Computer Science, IT, or related field (Master’s optional).
• Certifications highly preferred: AWS Solutions Architect (Professional), Azure Solutions Architect Expert, GCP Professional Cloud Architect.

4. Soft Skills

• Leadership and mentoring ability.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently in a remote environment.

5. Additional Preferences

• Experience with hybrid or multi-cloud architectures.
• Exposure to ML/AI cloud services or data engineering pipelines.
• Knowledge of enterprise architecture frameworks (TOGAF, AWS Well-Architected Framework).