We are searching for an *exceptionally skilled AWS Cloud Software Engineer—someone who doesn’t just know AWS, but has **mastered* it. This is an exclusive opportunity to tackle complex, large-scale cloud engineering challenges in a fast-paced, high-stakes environment. If you can solve cloud problems at scale, architect solutions that others can’t, and optimize cloud infrastructure in ways that seem impossible, then we want you on our team.
#### *What You Will Be Expected To Do:*
- Architect complex, multi-region, multi-account AWS environments, and manage thousands of services across different stages of the software lifecycle with zero downtime.
- Design and implement *highly granular* cost optimization strategies that reduce AWS bills by 50% or more without sacrificing performance or scalability, working with hundreds of concurrent instances and services.
- Build and scale serverless applications on AWS with *millisecond latencies*, utilizing Lambda, DynamoDB, and other serverless technologies at extreme scale.
- Secure highly sensitive data and systems in compliance with *zero-trust security models*, designing advanced IAM policies and using AWS encryption and network security tools to prevent any possible vulnerabilities.
- Develop *multi-cloud solutions* that integrate AWS with other cloud providers (GCP, Azure) seamlessly, enabling hybrid cloud architectures that can handle mission-critical workloads at global scale.
- Solve AWS performance issues that others cannot, finding bottlenecks and failures across multi-layered services using advanced monitoring tools like CloudWatch, X-Ray, and third-party integrations.
- Automate infrastructure provisioning using *advanced Infrastructure as Code (IaC)* practices, employing AWS CloudFormation, AWS CDK, or Terraform with a level of sophistication that minimizes manual intervention to near zero.
- Contribute to the *evolution of AWS services*—work directly with AWS teams to influence and test cutting-edge services, potentially even contributing to beta testing and product feedback.
- Lead global disaster recovery planning and execution, ensuring the continuity of complex cloud-based systems with automatic failover mechanisms and *zero data loss*.
- Push the boundaries of cloud technologies with *predictive scaling, **auto-healing* mechanisms, and *AI-driven optimization*.
#### *We’re Looking for Someone Who:*
- *Has deep, hands-on experience* with almost every AWS service (e.g., EC2, S3, Lambda, RDS, DynamoDB, EKS, CloudFormation, Redshift, Kinesis, etc.) and knows how to leverage these services in *cutting-edge, complex systems*.
- Can *design architectures* that are not just scalable, but also ultra-efficient, highly secure, and resilient in a highly dynamic cloud environment.
- Has *in-depth knowledge* of AWS best practices for security, compliance, and governance, including advanced IAM policy management, VPC flow, custom CloudTrail alerts, and maintaining compliance at scale in regulated environments (e.g., HIPAA, SOC2, PCI).
- Is a *master of automation, with experience designing and maintaining **highly complex CI/CD pipelines* using AWS CodePipeline, Jenkins, and GitOps practices.
- Is familiar with *AWS emerging technologies, including but not limited to: **AWS Graviton, **AWS Outposts, **Amazon Elastic File System (EFS), **Amazon QLDB, and **Amazon Elastic Inference*.
- Can demonstrate *advanced serverless architectures* using AWS Lambda, API Gateway, and Step Functions, running mission-critical applications at a global scale.
- Is an expert at *cost optimization* in complex environments with a deep understanding of Reserved Instances, Spot Instances, Savings Plans, and AWS Budgets. Able to cut cloud costs by a significant margin without affecting system performance.
- Has demonstrated *thought leadership* in cloud technology, having contributed to open-source cloud tools, written technical blogs, or spoken at AWS re:Invent or similar conferences.
- Has experience designing systems that handle *millions of transactions per second, utilizing highly parallel processing techniques like **AWS ParallelCluster* and *Amazon S3 Select*.
#### *Key Challenges You Will Face:*
- *Re-Architecting* legacy systems to be completely cloud-native with *zero downtime* and minimal manual intervention, all while maintaining a 99.99% SLA.
- *Scaling AWS environments* from 100 to 10,000+ EC2 instances with *auto-scaling groups* while ensuring security and operational simplicity.
- *Implementing real-time analytics solutions* with AWS Kinesis and Redshift at a level where thousands of data streams are processed and analyzed in *real-time*, driving mission-critical business decisions.
- *Designing fault-tolerant, multi-region architectures* that survive significant global AWS outages or data center failures, ensuring business continuity and zero data loss.
#### *Requirements:*
- *At least 5-7 years of direct AWS cloud experience*, including at least 3 years architecting and maintaining complex, high-scale production environments on AWS.
- *Expert-level certification*: AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, or AWS Certified Security Specialty.
- Proven track record of *successfully managing large-scale production systems* using AWS and ensuring they meet performance, security, and cost expectations.
- Deep understanding of *microservices architecture*, containerization (Docker, Kubernetes), and CI/CD automation at scale.
- Advanced programming experience (Python, Go, Java, or similar) for automation, application deployment, and cloud management.
- Advanced *troubleshooting* and *debugging* experience across large-scale cloud architectures, including identifying and resolving critical production issues quickly.
- Experience with *multi-cloud architectures* and hybrid-cloud integrations (AWS + GCP/Azure).
#### *Bonus Points:*
- Experience with *AWS IoT* or *edge computing* services.
- Strong background in *Big Data* solutions using AWS technologies (e.g., EMR, Redshift, Athena).
- Published work or open-source contributions in the cloud-native ecosystem.
