Systems Technology Group, Inc. (STG)
AWS Cloud Engineer (No C2C Accepted -- Only W2 role) 10.1.25
Systems Technology Group, Inc. (STG), Dearborn, Michigan, United States, 48120
AWS Cloud Engineer
STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening for
AWS Cloud Engineer . This project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end-clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it. Areas of Specialization: AWS Expertise: Deep expertise in the AWS ecosystem beyond basic IaaS. You are an expert in AWS networking (VPCs, Transit Gateway, Security Groups), Identity and Access Management (IAM), cost optimization strategies, and leveraging AWS managed services (like RDS, MSK, OpenSearch) to build robust and secure platforms. Kubernetes Administration: Deep knowledge of provisioning, managing, securing, and scaling Kubernetes clusters (e.g., EKS, GKE). You understand K8s networking, storage, and the operator pattern. CI/CD & GitOps: Expertise in designing, building, and managing complex CI/CD pipelines. You have strong opinions and hands-on experience with tools like Argo Workflows/CD, Tekton, Concourse, or similar. Cloud Security: A focus on securing cloud infrastructure. You have deep knowledge of PKI, IAM policies, secret management (e.g., Vault), network security, and automated compliance. Observability & SRE: A passion for metrics, logging, and tracing. You have experience building and managing modern observability stacks (e.g., Prometheus, Grafana, Open Telemetry) and applying SRE principles to improve reliability. Developer Tooling & Automation: You excel at writing code to solve operational problems. You have experience building CLIs, controllers, or other internal tools in Go or Python to improve the developer experience. Skills Required AWS – We expect the candidate to be able to define, deploy, and manage a complete application infrastructure in AWS using Terraform. This includes writing modular Terraform configurations to provision VPCs, subnets, route tables, security groups, and NACLs for robust networking. They should demonstrate proficiency in managing IAM roles, policies, and users for least-privilege access, configuring S3 buckets for various storage needs (e.g., static content hosting, logging with lifecycle policies), deploying and managing RDS instances (e.g., PostgreSQL, MySQL) with appropriate backups and replication strategies, and setting up Application Load Balancers (ALBs) or Network Load Balancers (NLBs) with target groups and health checks for high availability. Kubernetes – The ideal candidate will have hands-on experience provisioning Kubernetes clusters (e.g., EKS, GKE, AKS, or self-managed Kubeadm clusters) from scratch, including configuring networking, storage, and node pools. They should be adept at administering and troubleshooting clusters, which involves debugging pod failures, managing deployments, services, ingresses, and persistent volumes. Skills Preferred: GCP – While not strictly required, we would prefer candidates who can demonstrate experience provisioning and managing GCP resources programmatically. This includes using tools like Terraform, Google Cloud Deployment Manager, or gcloud CLI scripting to deploy resources such as Compute Engine instances, Cloud SQL databases, Cloud Storage buckets, VPC networks, and IAM policies within a GCP project. Python - Writes production-grade automation for cloud operations: CLIs and functions that interact with AWS/GCP SDKs, handle pagination/retries/backoff, and include tests and logging. Builds small tools/services: e.g., cost/reporting jobs, security/compliance checks, drift detectors, secret rotation workflows, or data movers. Equal Employment Opportunity Statement STG is an equal opportunity employer and welcomes applications from diverse candidates.
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STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening for
AWS Cloud Engineer . This project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end-clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it. Areas of Specialization: AWS Expertise: Deep expertise in the AWS ecosystem beyond basic IaaS. You are an expert in AWS networking (VPCs, Transit Gateway, Security Groups), Identity and Access Management (IAM), cost optimization strategies, and leveraging AWS managed services (like RDS, MSK, OpenSearch) to build robust and secure platforms. Kubernetes Administration: Deep knowledge of provisioning, managing, securing, and scaling Kubernetes clusters (e.g., EKS, GKE). You understand K8s networking, storage, and the operator pattern. CI/CD & GitOps: Expertise in designing, building, and managing complex CI/CD pipelines. You have strong opinions and hands-on experience with tools like Argo Workflows/CD, Tekton, Concourse, or similar. Cloud Security: A focus on securing cloud infrastructure. You have deep knowledge of PKI, IAM policies, secret management (e.g., Vault), network security, and automated compliance. Observability & SRE: A passion for metrics, logging, and tracing. You have experience building and managing modern observability stacks (e.g., Prometheus, Grafana, Open Telemetry) and applying SRE principles to improve reliability. Developer Tooling & Automation: You excel at writing code to solve operational problems. You have experience building CLIs, controllers, or other internal tools in Go or Python to improve the developer experience. Skills Required AWS – We expect the candidate to be able to define, deploy, and manage a complete application infrastructure in AWS using Terraform. This includes writing modular Terraform configurations to provision VPCs, subnets, route tables, security groups, and NACLs for robust networking. They should demonstrate proficiency in managing IAM roles, policies, and users for least-privilege access, configuring S3 buckets for various storage needs (e.g., static content hosting, logging with lifecycle policies), deploying and managing RDS instances (e.g., PostgreSQL, MySQL) with appropriate backups and replication strategies, and setting up Application Load Balancers (ALBs) or Network Load Balancers (NLBs) with target groups and health checks for high availability. Kubernetes – The ideal candidate will have hands-on experience provisioning Kubernetes clusters (e.g., EKS, GKE, AKS, or self-managed Kubeadm clusters) from scratch, including configuring networking, storage, and node pools. They should be adept at administering and troubleshooting clusters, which involves debugging pod failures, managing deployments, services, ingresses, and persistent volumes. Skills Preferred: GCP – While not strictly required, we would prefer candidates who can demonstrate experience provisioning and managing GCP resources programmatically. This includes using tools like Terraform, Google Cloud Deployment Manager, or gcloud CLI scripting to deploy resources such as Compute Engine instances, Cloud SQL databases, Cloud Storage buckets, VPC networks, and IAM policies within a GCP project. Python - Writes production-grade automation for cloud operations: CLIs and functions that interact with AWS/GCP SDKs, handle pagination/retries/backoff, and include tests and logging. Builds small tools/services: e.g., cost/reporting jobs, security/compliance checks, drift detectors, secret rotation workflows, or data movers. Equal Employment Opportunity Statement STG is an equal opportunity employer and welcomes applications from diverse candidates.
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