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DevOps Engineer

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Job Description - DevOps Engineer

About Us:


duPont REGISTRY Group is a dynamic and innovative company dedicated to delivering exceptional solutions to our clients. We are seeking a highly skilled and versatile DevOps Engineer to join our growing team. This role is hands-on and deeply technical — ideal for someone experienced in infrastructure automation, observability, and microservices orchestration AWS cloud environments.



Responsibilities



  • Design, provision, and manage cloud infrastructure using Pulumi and Infrastructure-as-Code best practices.

  • Deploy and operate EKS clusters with keeping solid security, observability, cost efficiency compliant to best practices

  • Manage Kubernetes workloads based on Helm, kustomize or custom Kubernetes operators

  • Implement and maintain observability stacks — VictoriaMetrics, VictoriaLogs, Grafana, Alertmanager, Zipkin, and OpenTelemetry — for Node.js, python and golang based services.

  • Build custom dashboards and alert rules for infrastructure and application performance monitoring.

  • Automate operations and writing infrastructure-oriented code on Typescript or Golang.

  • Administer GitLab CI/CD pipelines, runners, and environments for seamless multi-repo workflows.

  • Support backend teams by integrating Node.js, Golang and Python microservices into unified deployment and monitoring pipelines.

  • Apply strong security and compliance practices (RBAC, IAM, secrets management, mTLS).

  • Contribute to disaster recovery, cost optimization, and reliability engineering strategies.



Required Skills and Qualifications



General skill



  • System design, architecture and patterns understanding

  • Proven experience in DevOps/SRE position

  • Deep understanding of Linux basics and containers (cgroups, cpu scheduling, kernel parameters)

  • OCI containers (docker/podman)

  • Image build tools (buildkit, kaniko, buildah)

  • Networking knowledge, according to CCNA level

  • Backup and restore strategies, disaster recovery planning



Programming languages and frameworks



  • JavaScript/Typescript basic level

  • Understanding of NodeJS runtime

  • Golang basics

  • REST API implementations

  • SOLID principles

  • 12-factor app methodology

  • Skills of bash scripting and perception, when bash should be replaced to programming language



Git, IaC, CI/CD



  • Advanced git knowledge

  • Gitlab CI/CD experience

  • Pulumi basics and especially typescript implementation

  • Understanding of cattle/pets infrastructure approaches,



Cloud technologies



  • Experience with AWS basic services (EC2, S3, RDS, VPC, IAM, ALB)

  • EKS clusters with worker nodes and networking administration, understanding of transparent IAM security (IRSA, Pod execution roles)

  • Cloudfront cdn, WAF security



Kubernetes



  • Understating of core concepts, such pods, replicasets, deployments, services, ingresses, secrets

  • Experience with different deployment tools and concepts, such Helm, kustomize (overlays concept), ArgoCD/Flux, Pulumi Kubernetes provider

  • Statedul/stateless concepts, difference between deployments and statefulsets, storage classes

  • Internal Kubernetes networking, CNI like Cilium, AWS CNI, Flannel

  • Cluster monitoring via Prometheus/VictoriaMetrics, logging via Loki/ViactoriaLogs

  • Logging agents – vector, fluentbit



Security



  • Source code and containers images security scanning – trivy, SonarCube, Artifactory

  • OAuth and SAML implementations protocols, SSO concept

  • SSL/TLS understanding

  • Goteleport access security

  • Keycloak IDM



Monitoring and Observability



  • Understanding difference between metrics, logs, tracing

  • Prometheus-like metrics solutions, Grafana dashboards

  • Logging platforms based on Loki/VoctoriaMetrics/Graylog

  • Alerting with alertmanager

  • Distributed tracing systems like Zipkin, ElasticSearch APM



Bonus Points for Experience with



  • Kubernetes service mesh (Istio, Linkerd)

  • Kubernetes operator pattern (Kubebuilder, Operator SDK)

  • OpenSearch and Redis cluster administration.

  • RabbitMQ administration

  • NoSQL solutions – MongoDB, DynamoDB

  • Policy-as-Code (OPA, Kyverno) or security automation (Falco, Trivy, Snyk).

  • Serverless architecture (AWS Lambda)

  • Cost management, auto-scaling, and infrastructure benchmarking.

  • Chaos engineering or resilience testing practices.

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