Job Description

Design, implement, and manage secure, scalable cloud architectures (public, private, hybrid) to meet business needs and improve overall system performance. Lead cloud migration initiatives, refactoring legacy systems into cloud-native solutions using best practices, ensuring minimal disruption to business operations. Automate infrastructure provisioning and deployments using tools like Terraform, CloudFormation, or ARM Templates, driving efficiency and reducing manual errors. Build and maintain CI/CD pipelines (Jenkins, GitLab CI, AWS CodePipeline) for seamless application delivery. Implement cloud security controls (IAM, encryption, VPCs) and ensure compliance with industry standards (GDPR, HIPAA), collaborating closely with security teams. Optimize cloud costs through resource monitoring, rightsizing, and leveraging reserved instances/spot instances, driving significant cost savings and improving operational efficiency. Troubleshoot complex cloud infrastructure issues and improve system reliability using monitoring tools (CloudWatch, Datadog, Prometheus), minimizing downtime. Mentor junior engineers and collaborate with cross-functional teams to align cloud strategies with business goals, fostering a culture of innovation and knowledge sharing. Here s What You ll Bring with You : Bachelor s/master s degree in computer science, IT, or a related field. 6-7+ years of hands-on experience in cloud engineering, with deep expertise in AWS, Azure, or GCP. Certifications such as AWS Certified Solutions Architect Pro, Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect are highly preferred. Proficiency in Infrastructure as Code (Terraform, Ansible) and scripting languages (Python, Bash, PowerShell). Strong knowledge of cloud networking concepts (VPCs, subnets, routing, load balancing). Strong knowledge of containerization (Docker, Kubernetes) and serverless computing (Lambda, Azure Functions). Proven track record of implementing robust security controls and adhering to compliance standards. Experience with DevOps tools (Jenkins, GitOps, ArgoCD) and version control systems (Git). Familiarity with monitoring/logging tools (ELK Stack, Splunk, Grafana) and disaster recovery strategies. Ability to design multi-cloud architectures and resolve performance bottlenecks. Excellent communication skills and a track record of leading cloud projects from concept to production. Experience with AI/MLOps or big data platforms (Spark, Hadoop) is a plus.