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Rehire
Rehire
HR TechRecruitment
Rehire is a recruitment and HR technology company that helps employers hire evaluated professionals through flexible staffing and headhunting services. Its offering includes directed executive searches and Match Staffing, supported by candidate sourcing, structured interviews, technical assessments, onboarding, employer branding, hiring analytics, and ATS integrations. Rehire uses AI-enabled sourcing and automated screening to help organizations identify suitable candidates efficiently. Its subscription model charges per active job without placement fees, while onboarding can be completed in about 48 hours and data security is emphasized throughout the hiring process.
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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.

MXMexicoOn-siteFull-timeJuniorEnglish RequiredDevOps Engineer
AnsibleAWSCloudDNSDockerGrafanaJenkinsKubernetesLinuxPrometheusPythonTerraform

Description

  • 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.

Requirements

  • 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.

Benefits

  • 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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