Senior DevOps Engineer
Description
Who We Are
About the IDC
Responsibilities
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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.
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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).
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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).
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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.
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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).
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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.
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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
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Cloud Architecture: 3+ years of hands-on experience designing, deploying, and supporting enterprise-grade systems on AWS (VPC, IAM, EKS/ECS, RDS, S3, EventBridge).
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Infrastructure as Code (IaC): Deep operational experience with Terraform (state management, module design) or AWS CDK.
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Containers & Orchestration: Strong background in Docker containerization and hands-on operational experience with Kubernetes (EKS) or AWS ECS, including Helm templating.
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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).
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Systems Programming / Scripting: Proficiency in Python (including AWS SDK/boto3) or Go, alongside Linux shell scripting (Bash).
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Telemetry & Reliability: Proven experience implementing logging, metrics, and tracing platforms (Datadog, OpenTelemetry, Splunk, Prometheus/Grafana) and designing structured on-call incident responses
Preferred Experience
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Experience implementing GitOps workflows with Argo CD or Flux.
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Familiarity with Policy-as-Code frameworks (Open Policy Agent/Gatekeeper, Kyverno, or Checkov).
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Understanding of MLOps pipelines and supporting infrastructure for machine learning workloads (e.g., Kubeflow, AWS SageMaker).
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Practical experience running OpenSearch/Elasticsearch clusters at scale.
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AWS Certified Solutions Architect or DevOps Engineer Professional (or other Cloud Certifications).
Travel Requirements
Remote & Hybrid Work
Life at Qvest
Equal Employment Opportunity
Skills
- AI
- Analytics
- Argo CD
- Artifactory
- Automation
- AWS
- Bash
- CDK
- CI/CD
- Cloud
- CloudWatch
- Containerization
- Datadog
- DevOps
- DevSecOps
- Disaster Recovery
- Docker
- ECS
- EKS
- Elasticsearch
- Eventbridge
- FinOps
- Flux
- GitHub
- GitHub Actions
- GitLab
- GitOps
- Grafana
- Helm
- IAM
- Infrastructure as Code
- Kubeflow
- Kubernetes
- Linux
- Machine Learning
- MLOps
- Observability
- OpenSearch
- OpenTelemetry
- Prometheus
- Python
- RBAC
- RDS
- S3
- SageMaker
- Salesforce
- Secrets Management
- Snyk
- Splunk
- SRE
- Terraform
- Test Automation
- Vault
- VPC
- Vulnerability Scanning