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Linqia

DevOps Engineer

УдалённоLATAM· Предпочтительно LATAM, Colombia
Опубликовано
Роль
DevOps
Опыт
Мидл
Занятость
Contract
Размер компании
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Доступно для: Anywhere in LATAM · Prefers LATAM, Colombia. Укажите, откуда вы работаете, чтобы проверить доступность.

Предпочтение — кандидатам из: LATAM и Колумбия.

Коротко по делу

DevOps/platform engineer with 3+ years supporting production SaaS on AWS. Must be in LATAM, preferably Colombia, and strong with Kubernetes/EKS, Terraform, Python/Bash, CI/CD, observability, Linux, SQL, and FinOps.

Ключевые навыки

AWSKubernetesTerraform

Обязательные навыки

EKSPythonBash/ZshEC2VPCIAMALBS3RDSCloudFormationCloudWatchDockerPodmanAnsible/PuppetDatadogPrometheusGrafanaGitSQLLinuxTCP/IPHTTPTLSDNSScrum/Kanban

Желательные навыки

AWS Solutions ArchitectAWS DevOps EngineerFinOps PractitionerGuardDutySecurity HubIAM Access AnalyzerKMSApache Spark

Чем предстоит заниматься

  • Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost-management controls using Terraform and the AWS console
  • Maintain secure networking layers with AWS load balancers, ingress controllers, service-mesh policies, network policies, and zero-trust principles
  • Operate and harden production-grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi-cluster architectures driven by Argo CD
  • Build reusable infrastructure-as-code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least-privilege access
  • Create self-service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
  • Deliver real-time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
  • Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
  • Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.
  • Support developers by maintaining Podman-based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand-off from local code to cloud-native deployments
  • Implement FinOps practices: track and forecast AWS spend, enforce cost-allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost-optimisation dashboards for engineering and finance stakeholders
  • Write automation utilities and command-line tools in Python and craft shell scripts that glue components and workflows together
  • Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service-level objective tracking
  • Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

Что требуется

  • Experience level 3+ YoE supporting production saas in AWS
  • Bachelor degree in Computer Science or equivalent practical experience
  • three plus years working with cloud infrastructure or platform engineering focused on AWS
  • Deep hands-on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
  • Proficiency in Python and Bash or Zsh scripting
  • Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
  • Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
  • Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
  • Hands-on practice with configuration-management tools such as Ansible or Puppet and infrastructure-as-code with Terraform
  • Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
  • Comfortable with Git-based workflows, feature branching, and pull-request reviews
  • Strong SQL skills and a deep understanding of relational database internals
  • Competent in Linux administration, process troubleshooting, and performance tuning
  • Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
  • Clear communication skills and an ability to translate complex technical topics to diverse audiences
  • Familiarity with Scrum or Kanban and a continuous-improvement mindset
  • Preferred: AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
  • Preferred: Applying SRE practices such as error budgets and service-level dashboards
  • Preferred: Exposure to machine-learning workflows, ModelOps, or MLOps in production

Преимущества

  • career development and growth for our employees

Linqia is an innovative start-up in the growing influencer marketing industry. Its AI-driven platform and team deliver guaranteed influencer marketing results for clients and help marketers test and amplify influencer content.

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