We are seeking a Senior Cloud Engineer to design, implement, and optimize cloud environments across AWS, Azure, and GCP. The role will focus on migration, modernization, and GenAI-ready infrastructures, ensuring security, scalability, and performance. You will collaborate with architects, DevOps, MIR, and customer success teams to deliver enterprise-grade cloud solutions.
Design and implement secure, scalable, and high-availability cloud solutions.
Build cloud-native environments using serverless, managed services, and Kubernetes.
Develop Infrastructure as Code (Terraform, CloudFormation, Pulumi, Ansible) for repeatable deployments.
Lead cloud migration projects for applications, databases, and workloads.
Re-architect legacy systems into cloud-native and microservices-based models.
Modernize workloads with serverless, Kubernetes, managed databases, and event-driven patterns.
Design infrastructures optimized for GenAI and ML services (pipelines, vector databases, AI integrations).
Collaborate with the MIR team to implement monitoring, logging, and proactive alerting.
Work with DevOps to integrate IaC templates into CI/CD pipelines.
Optimize performance, availability, and cost of cloud workloads.
Enforce best practices for IAM, encryption, backup, disaster recovery, and compliance (ISO, SOC, GDPR, etc.).
Design secure data architectures for AI-driven and analytics workloads.
Mentor junior engineers and guide them on cloud best practices.
Support architects and pre-sales teams in solution design and proposals.
Ensure smooth onboarding and lifecycle management of customer environments.
3+ years of experience in cloud engineering/architecture roles.
Expertise in one major cloud (AWS, Azure, or GCP); multi-cloud exposure preferred.
Proven experience in cloud migration and application modernization.
Strong hands-on knowledge of IaC (Terraform, CloudFormation, Pulumi, Ansible).
Proficiency in containers and orchestration (Kubernetes, EKS, AKS, GKE) and serverless.
Familiarity with cloud AI/ML services (AWS Bedrock, Azure OpenAI, Google Vertex AI).
Solid understanding of networking, VPC design, and hybrid connectivity.
Strong problem-solving and troubleshooting abilities.
Excellent communication and client-facing skills.
Ability to lead projects and mentor team members.
AWS Solutions Architect – Professional / DevOps Engineer – Professional
Azure Solutions Architect Expert / Google Cloud Professional Architect
Kubernetes CKA/CKAD
Cloud AI/ML certifications (preferred)
Lead high-impact cloud migration and modernization projects.
Work on GenAI-ready architectures at the forefront of innovation.
Collaborative culture with opportunities for leadership and growth.
Competitive compensation, benefits, and certification support.
