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Qvest US

Senior DevOps Engineer (AWS)

NY, United States
Los Angeles, CA, United States

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Job details

Experience: Cloud Architecture: 3+ years of hands-on experience designing, deploying, and supporting enterprise-grade systems on AWS (VPC, IAM, EKS/ECS, RDS, S3, EventBridge).
Posting language: English
Posted: Nov 28, 2016

Original job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.

About the IDC

The IDC is our Innovation and Development Center. We build custom software using modern technologies to solve complex business problems for our clients. We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding.

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

Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.

Remote & Hybrid Work

While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.

Life at Qvest

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel."

Equal Employment Opportunity

Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

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More about this job

Skills

DevOps
AWS
Supply chain management
Data analysis
Identity and access management
Infrastructure as code
IBM Terraform
Docker
Kubernetes
CI/CD
GitHub
GitLab
Test automation
JFrog Artifactory
Python
Go
Linux
Bash
Datadog
Splunk
Prometheus
Grafana
Machine learning
Kubeflow
Elasticsearch
AWS certification

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