About the Role
We’re building cloud foundations that scale with purpose. As a Cloud Engineer, you’ll be part of a high-impact team helping global clients modernize their infrastructure and deliver high-performance systems in the cloud.
You’ll design, build, and support secure, highly available environments that power mission-critical transformation initiatives. Working within cross-functional delivery teams, you’ll apply best-practice automation—including infrastructure as code (IaC), CI/CD, and DevSecOps—to migrate, optimize, and manage workloads on AWS, Azure, and/or Google Cloud, all while meeting demanding performance, security, and cost-efficiency targets.
Key Responsibilities
- Implement landing zones, VPC/VNet networking, IAM, and security baselines.
- Provision and configure compute, storage, and database services using IaC I
- Develop and maintain pipeline automation for app and infrastructure deployments.
- Design and package applications with latest containerization and orchestration.
- Configure logging, metrics, tracing, and alerting - apply SRE practices.
- Produce cost-and-capacity reports with FinOps tooling.
- Produce well-structured design documents, diagrams, and hand-over guides.
Qualifications
- 3–6 years experience in cloud solutions on at least one CSP (AWS, Azure, GCP).
- Bachelor’s degree in Computer Science, or similar.
- Proficiency with Terraform or equivalent IaC tool and a one scripting language.
- Working knowledge of container runtime fundamentals.
- Experience building CI/CD pipelines and integrating DevSecOps controls
- Familiarity with monitoring/observability stacks and incident-management processes.
- Strong troubleshooting, documentation, and customer-facing communication skills.
- Cloud certifications on at least one CSP (AWS, Azure, GCP).
- Experience with serverless services (Lambda, Cloud Functions), event-driven architectures (SNS/SQS, Event Hub, Pub/Sub), and microservice patterns.
- Knowledge of compliance frameworks (SOC 2, HIPAA, PCI) and security hardening.
- Exposure to data-platform services and AI/ML tooling.
