Responsibilities
Platform & Infrastructure as Code: Architect, provision, and maintain modular AWS infrastructure using Terraform or AWS CDK. Establish reusable modules and enforce policy-as-code across multiple environments.
Continuous Delivery & GitOps: Design, build, and maintain automated delivery pipelines using GitHub Actions or GitLab CI, integrated with GitOps engines (e.g., Argo CD) for zero-downtime, progressive rollouts (Blue/Green, Canary).
Container Orchestration: Manage production-grade containerized workloads on Kubernetes (Amazon EKS) or Amazon ECS. Optimize container image builds, build caching, and cluster resource scaling (e.g., Karpenter, Cluster Autoscaler).
Observability & SRE: Instrument system-wide observability using OpenTelemetry, Datadog, Splunk, or AWS CloudWatch. Define and track SLIs, SLOs, and error budgets, while establishing actionable alerting pipelines that minimize alert fatigue.
DevSecOps & Compliance: Integrate automated vulnerability scanning (container images, dependencies, IaC) using tools like Snyk or Trivy into CI/CD pipelines. Manage centralized identity, role-based access controls (RBAC), and secrets management (AWS Secrets Manager, HashiCorp Vault).
Automation & Internal Tooling: Develop custom automation scripts and micro-tools using Python (boto3) or Go to eliminate manual toil, support automated backups, and validate disaster recovery procedures.
Cloud Cost Governance (FinOps): Partner with engineering teams to monitor cloud consumption, optimize resource allocation, and implement automated scaling policies to maintain cost-efficient infrastructure.
Required Skills
Cloud Architecture: 3+ years of hands-on experience designing, deploying, and supporting enterprise-grade systems on AWS (VPC, IAM, EKS/ECS, RDS, S3, EventBridge).
Infrastructure as Code (IaC): Deep operational experience with Terraform (state management, module design) or AWS CDK.
Containers & Orchestration: Strong background in Docker containerization and hands-on operational experience with Kubernetes (EKS) or AWS ECS, including Helm templating.
CI/CD & Delivery: Extensive experience implementing CI/CD pipelines (GitHub Actions, GitLab CI) with automated testing, linting, security scanning, and artifact management (JFrog Artifactory, Sonatype Nexus, or GitHub Packages).
Systems Programming / Scripting: Proficiency in Python (including AWS SDK/boto3) or Go, alongside Linux shell scripting (Bash).
Telemetry & Reliability: Proven experience implementing logging, metrics, and tracing platforms (Datadog, OpenTelemetry, Splunk, Prometheus/Grafana) and designing structured on-call incident responses
Preferred Experience
Experience implementing GitOps workflows with Argo CD or Flux.
Familiarity with Policy-as-Code frameworks (Open Policy Agent/Gatekeeper, Kyverno, or Checkov).
Understanding of MLOps pipelines and supporting infrastructure for machine learning workloads (e.g., Kubeflow, AWS SageMaker).
Practical experience running OpenSearch/Elasticsearch clusters at scale.
AWS Certified Solutions Architect or DevOps Engineer Professional (or other Cloud Certifications).
Travel Requirements
Skills Required
- 3+ years of hands-on experience designing, deploying, and supporting enterprise-grade systems on AWS
- Experience with AWS services including VPC, IAM, EKS or ECS, RDS, S3, and EventBridge
- Deep operational experience with Terraform or AWS CDK, including state management and module design
- Strong Docker containerization experience and hands-on Kubernetes EKS or AWS ECS operations, including Helm templating
- Extensive experience implementing CI/CD pipelines with GitHub Actions or GitLab CI
- Experience with automated testing, linting, security scanning, and artifact management
- Proficiency in Python with AWS SDK/boto3 or Go, plus Linux Bash scripting
- Experience implementing logging, metrics, and tracing using observability platforms such as Datadog, OpenTelemetry, Splunk, Prometheus, or Grafana
- Experience designing structured on-call incident responses
- Experience implementing GitOps workflows with Argo CD or Flux
- Familiarity with policy-as-code frameworks including OPA/Gatekeeper, Kyverno, or Checkov
- Understanding of MLOps pipelines and infrastructure for machine learning workloads, such as Kubeflow or AWS SageMaker
- Practical experience operating OpenSearch or Elasticsearch clusters at scale
- AWS Certified Solutions Architect, AWS DevOps Engineer Professional, or another cloud certification
What We Do
Qvest US is a global leader in technology and business consulting, specifically for the Media & Entertainment and Consumer Packaged Goods & Retail industries. The company provides end-to-end services, strategizing, advising, designing, and implementing future-forward business and technology solutions. They specialize in digital media supply chain, data and analytics, IP and rights management, and applied AI to help Fortune 1,000 companies revolutionize their markets.
