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Rehire
Rehire
Personāla atlasePersonāla tehnoloģijas
Rehire ir personāla atlases un personāla vadības tehnoloģiju uzņēmums, kas palīdz darba devējiem nolīgt novērtētus speciālistus, piedāvājot elastīgus personāla atlases un vadītāju meklēšanas pakalpojumus. Tā piedāvājumā ietilpst mērķēta vadītāju atlase un Match Staffing, ko papildina kandidātu meklēšana, strukturētas intervijas, tehniskie novērtējumi, ievadīšana darbā, darba devēja zīmola veidošana, personāla atlases analītika un ATS integrācijas. Rehire izmanto mākslīgā intelekta atbalstītu kandidātu meklēšanu un automatizētu atlasi, lai palīdzētu organizācijām efektīvi identificēt piemērotus kandidātus. Abonēšanas modelī maksa tiek piemērota par katru aktīvo vakanci, neiekasējot darbā iekārtošanas maksu. Ieviešanu var pabeigt aptuveni 48 stundu laikā, un datu drošībai tiek pievērsta uzmanība visā darbā pieņemšanas procesā.
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Vakances uzņēmumā

Junior SRE Engineer (Onsite, Mexico)

Join Rehire as a junior SRE engineer supporting AWS reliability for a regulated financial-services platform. Help automate observability, incident response, and AI-assisted production operations.

MXMeksikaKlātienēPilna slodzeJaunākais speciālistsNepieciešamā Valoda: angļuDevOps inženieris
AnsibleAWSDNSDockerGrafanaJenkinsKubernetesLinuxMākonisPrometheusPythonTerraform

Apraksts

  • Assist with incident response as a shadow or secondary responder using AI-based detection, correlation, and root-cause analysis tools.
  • Construct incident timelines from metrics, logs, traces, and deployment history.
  • Record postmortems and track corrective actions through completion.
  • Operate and monitor AI SRE sub-agents for incident summaries, monitor-gap identification, and usage attribution.
  • Create and maintain Datadog monitors, dashboards, and Terraform-managed SLO definitions.
  • Assist with SLI, SLO, and error-budget reviews for critical customer journeys.
  • Lower alert noise through AI/ML-assisted detection and recurring monitor-hygiene reviews.
  • Help maintain the reliability of AWS workloads across ECS/Fargate, EKS, Lambda, RDS/Aurora, ALB, SQS/SNS, and Step Functions.
  • Detect capacity, saturation, and cloud-cost anomalies, attributing spend and telemetry volume to responsible teams and services.
  • Develop Python and Bash automation using Datadog, AWS, GitHub, PagerDuty, and Jira APIs.
  • Submit Terraform module contributions through pull requests.
  • Embed reliability controls and AI-assisted checks into CI/CD pipelines.
  • Develop runbooks with a path toward progressive self-healing automation.
  • Take part in architecture, reliability, and AI-risk reviews.
  • Build knowledge of applying PCI-DSS, SOC 2, SOX, and GLBA requirements in a regulated environment.

Prasības

  • Bachelor’s degree in computer science, engineering, or a related discipline.
  • One to three years of experience in SRE, DevOps, cloud infrastructure, platform, or production-support engineering.
  • Advanced spoken and written English is required.
  • Practical exposure to AWS or another major cloud provider across compute, networking, storage, and managed databases.
  • Experience with at least one observability platform; Datadog is preferred, while Grafana/Prometheus, New Relic, CloudWatch, and ELK/OpenSearch are also relevant.
  • Basic understanding of SLI, SLO, and error-budget practices.
  • Working knowledge of containers and orchestration, such as Docker, ECS, or Kubernetes, plus serverless execution models.
  • Beginner-to-intermediate Infrastructure as Code experience; Terraform is preferred, with Ansible or CloudFormation also applicable.
  • Scripting experience in Python, Bash, or a similar language, including REST API consumption and JSON parsing.
  • Basic Linux troubleshooting skills and networking fundamentals covering DNS, TLS, load balancing, timeouts, and retries.
  • Comfort with Git, pull-request practices, and CI/CD platforms such as GitHub Actions, Jenkins, GitLab CI, or ArgoCD.
  • Familiarity with incident management and on-call practices, including severity models, escalation policies, and PagerDuty or Opsgenie.
  • Background in product engineering services, enterprise software, or fintech is advantageous.
  • Awareness of PCI-DSS, SOC 2, SOX, or GLBA compliance frameworks is advantageous.
  • Preferred but nonessential certifications include AWS Cloud Practitioner or Associate-level certification, Terraform Associate, Datadog Fundamentals or equivalent, CKA, or KCNA.

Priekšrocības

  • Competitive salary paid in USD.
  • Hands-on development in AI-driven SRE practices with opportunities for career progression.
  • Dynamic, collaborative working environment.

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