We are looking for a (Senior) AWS Engineer to support the design, build, automation, and operations of a modern AWS cloud environment. This role will focus on multi-account AWS architecture, infrastructure automation, event-driven services, cloud governance, and operational reliability across enterprise cloud platforms.
The ideal candidate has strong hands-on experience with AWS services such as Organizations, Control Tower, IAM, CloudFormation, Lambda, Step Functions, VPC networking, EventBridge, S3, DynamoDB, ECS, EKS, EC2, Service Catalog, SSM, KMS, AWS Config, and CloudWatch.
This role is well suited for someone who understands how to build scalable AWS environments using infrastructure as code, automation, and cloud-native patterns, while also supporting strong governance, security, observability, and operational standards.
Key responsibilities:
- Design, build, and maintain AWS cloud infrastructure across multiple accounts
- Support multi-account AWS architecture using Organizations, Control Tower, and hub-and-spoke patterns
- Configure and manage IAM roles, policies, permissions, and access controls
- Develop and maintain infrastructure as code using Terraform and CloudFormation
- Build automation using Lambda, Step Functions, Python, and Bash/Shell scripting
- Design and support event-driven architecture using EventBridge, SNS, and SQS
- Configure and manage VPCs, subnets, routing, security groups, networking, and connectivity patterns
- Support compute and container platforms including EC2, ECS, and EKS
- Manage AWS services such as S3, DynamoDB, Service Catalog, SSM, KMS, AWS Config, and CloudWatch
- Support CI/CD automation using GitHub Actions
- Implement monitoring, logging, alerting, and observability using CloudWatch and Datadog
- Support cloud governance, compliance, configuration monitoring, and operational controls
- Troubleshoot infrastructure, networking, deployment, and platform issues
- Create and maintain technical documentation, runbooks, and operational procedures
Required qualifications:
- Bachelor's degree in Information Technology, Computer Science, Engineering, or related field, or equivalent practical experience
- 5–7 years of experience working with AWS cloud infrastructure, cloud-native services, automation, and platform engineering
- Hands-on experience with AWS Organizations, Control Tower, IAM, VPC networking, EC2, S3, CloudWatch, and AWS Config
- Experience building and maintaining infrastructure as code using Terraform and/or CloudFormation
- Experience with automation using Python and Bash/Shell scripting
- Experience with serverless and event-driven services such as Lambda, Step Functions, EventBridge, SNS, and SQS
- Experience with AWS security and governance services such as IAM, KMS, SSM, AWS Config, and Service Catalog
- Understanding of multi-account AWS environments and hub-and-spoke architecture
- Experience supporting containerized workloads using ECS and/or EKS
- Familiarity with CI/CD pipelines and GitHub Actions
- Strong troubleshooting, documentation, and communication skills
- Ability to work independently and collaborate with infrastructure, DevOps, security, and application teams
Preferred qualifications:
- Experience designing or operating enterprise-scale AWS landing zones
- Experience with AWS Control Tower account factory, guardrails, and governance patterns
- Experience implementing event-driven architecture in production environments
- Experience with Datadog monitoring, logging, dashboards, and alerting
- Experience supporting Kubernetes workloads on EKS
- Experience with cloud cost optimization, tagging strategies, and resource governance
- Familiarity with compliance, security controls, audit readiness, and configuration drift management
- Experience working in platform engineering, cloud migration, or cloud modernization initiatives
What success looks like in this role:
- AWS accounts, networking, access controls, and governance structures are clearly defined and consistently managed
- Infrastructure is automated, repeatable, and maintained through Terraform, CloudFormation, and CI/CD pipelines
- Multi-account AWS architecture is secure, scalable, and aligned with operational needs
- Event-driven workflows are reliable, well-documented, and integrated with core AWS services
- Monitoring, logging, and alerting provide clear visibility into cloud platform health and performance
- Cloud security, configuration, and compliance controls are actively managed through AWS-native services
- Engineering teams can deploy and operate workloads more efficiently using standardized cloud patterns and automation
What we offer:
- Competitive pay and salary growth based on your performance.
- Remote setup, B2B long-term contract, US EST working hours
- Dynamic working culture with opportunities to grow.
- Challenging projects with cutting-edge AI and cloud technologies.
- 100% paid sick leave.
- Friendly colleagues and a pleasant working atmosphere.
Thank you for your interest in this position. Please note that only candidates whose qualifications closely match our requirements will be contacted.
