
Building Scalable Cloud Architectures
2 days ago
We are seeking a highly skilled Senior Cloud Engineer to lead our cloud infrastructure initiatives.
Job DescriptionThis role involves designing, deploying, and maintaining scalable cloud architectures on AWS, ensuring high availability, fault tolerance, and cost efficiency.
The ideal candidate will be responsible for architecting and maintaining cloud infrastructure, implementing and optimizing CI/CD pipelines, automation and infrastructure-as-code, security, auditing, and compliance.
Main Responsibilities:
- Design, deploy, and manage cloud infrastructure on AWS, including networking, IAM, compute resources, containerization, databases, and storage solutions.
- Establish and refine continuous integration and deployment processes to facilitate rapid, reliable software deployments using services like CodePipeline, GitHub Actions, ECS, ECR, and SageMaker.
- Use infrastructure-as-code tools extensively to create reproducible, version-controlled environments. Automate operational tasks, monitoring, and self-healing mechanisms.
- Ensure infrastructure adheres to best practices for security, encryption (KMS), access control, and compliance. Implement comprehensive logging, monitoring (CloudWatch, CloudTrail), auditing, and alerting frameworks.
- Collaborate closely with data engineering and machine learning teams to ensure infrastructure and services perform optimally, are cost-effective, and scale efficiently.
- Develop robust backup, disaster recovery, and business continuity plans, regularly testing failover mechanisms and data recovery scenarios.
Required Skills & Experience:
- Strong ownership mindset (end-to-end accountability)
- Passionate about continuous learning and improvement
- 5+ years in cloud operations, DevOps, or infrastructure engineering roles
- Deep expertise with AWS: Networking (VPC, VPN), Compute (EC2, ECS, Lambda), Storage (S3, EBS), Security (IAM, KMS), Monitoring (CloudWatch, CloudTrail)
- Strong skills in infrastructure-as-code (Pulumi preferred, Terraform acceptable)
- Proficiency in Python, Bash scripting, and automation tools
- Experience in CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins)
- Solid understanding of container orchestration (Docker, ECS, Kubernetes)
- Demonstrated knowledge of secure cloud architectures and data anonymization best practices
Nice to Have:
- Experience with event-driven architectures (Kafka, EventBridge)
- Familiarity with AWS SageMaker, including Feature Store and Pipelines
- Previous experience in fintech, financial services, or mobile money ecosystems
- Interest in ethical AI, responsible data practices, and financial inclusion
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