Cloud infrastructure engineer building scalable systems for Safari AI, which uses computer vision to automate enterprise operations. Setting technical direction and delivering production services for a venture - funded startup.
About the role
- AWS Cloud Engineer designing secure, scalable AWS environments for AllCloud’s AI-led cloud services. Delivering migrations, Kubernetes platforms, infrastructure-as-code, automation, and customer-facing cloud projects.
Responsibilities
- Architect, design, deploy, and maintain scalable, highly available, and secure AWS infrastructure for project needs, including compute, storage, networking, and databases
- Lead or participate in cloud migrations, including lifting and shifting on-premises workloads and re-architecting to cloud-native services
- Build and maintain Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK
- Implement CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, Jenkins, or GitLab CI
- Implement serverless solutions using AWS Lambda and Step Functions, including event-driven architectures
- Containerize applications with Docker and orchestrate microservices using Amazon EKS, ECS, and Fargate
- Ensure monitoring, logging, alerting, and tracing of AWS resources and applications using CloudWatch, X-Ray, Prometheus, Grafana, and ELK/EFK
- Apply AWS security best practices involving IAM, encryption, VPCs, subnets, WAF, GuardDuty, and AWS Shield
- Implement backup, disaster recovery, high availability, data redundancy, snapshots, and multi-AZ/multi-region architectures
- Optimize cloud cost and performance through resource right-sizing and waste reduction
- Troubleshoot, debug, resolve cloud infrastructure and service issues, and conduct root cause analyses
- Maintain architecture, configuration, standard operating procedure, and runbook documentation
- Engage developers, QA, operations, security/compliance, and project managers for successful delivery
- Communicate with clients to understand technical needs, provide progress updates, and explain complex solutions
- Evaluate trade-offs, identify root causes, and design robust cloud architectures
- Stay current with AWS services and industry best practices and recommend improvements
- Perform OS-level troubleshooting and system administration across Linux and Windows cloud environments
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology or relevant field (or equivalent work experience)
- 3-5+ years of hands-on experience working with AWS in an engineering or infrastructure role (seniority adjustable)
- Strong knowledge of core AWS services: EC2, S3, VPC, RDS / Aurora, Lambda, API Gateway, IAM, CloudWatch, etc.
- Proven experience with Infrastructure as Code (IaC) tools: Terraform, AWS CloudFormation, or AWS CDK
- Hands-on experience with containerization and orchestration using Docker, Kubernetes / Amazon EKS, ECS, and Fargate
- Proven ability to debug and troubleshoot complex container workload issues in Kubernetes, Amazon EKS, and AWS ECS environments
- Experience building CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, AWS CodePipeline, GitHub Actions
- Solid scripting skills (Python, Bash, NodeJS, PowerShell, or similar) for automating tasks
- Working familiarity with monitoring, logging, tracing tools (e.g. CloudWatch, X-Ray, ELK stack, Prometheus, Grafana)
- Strong understanding of cloud networking, security, and compliance (VPCs, subnets, security groups, network ACLs, encryption, identity management)
- Experience in project delivery: working in agile or scrum environments, estimating work, delivering against milestones
- Excellent analytical, problem-solving skills and attention to detail
- Good communication skills—able to explain complex technical concepts to both technical and non-technical stakeholders
- Deep technical knowledge and hands-on experience with OS-level administration, configuration, and advanced troubleshooting for both Linux and Windows Server platforms
- Strong client-facing communication skills with a proven track record of building trust and managing technical discussions with stakeholders
- Exceptional critical thinking, analytical reasoning, and decisive problem-solving capabilities under complex or ambiguous scenario conditions
Benefits
- Learning and personal development opportunities
- Work with leaders who promote learning and personal development
- Equal Opportunity Employer
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