Rehire - Junior SRE Engineer Guadalajara Mexico
Requirements
• · Bachelor's degree in Computer Science, Engineering, or a related field. • · 1–3 years of experience in SRE, DevOps, cloud infrastructure, platform, or production-support engineering. • · Advanced English (oral and written). REQUIRED • · Hands-on exposure to AWS (or an equivalent hyperscaler) across compute, networking, storage, and managed database services. • · Exposure to at least one observability platform (Datadog preferred; Grafana/Prometheus, New Relic, CloudWatch, or ELK/OpenSearch also relevant). • Datadog preferred • · Foundational understanding of SLI, SLO, and error-budget concepts. • · Foundational knowledge of containers and orchestration (Docker, ECS, or Kubernetes) and serverless execution models. • · Beginner-to-intermediate experience with Infrastructure as Code (Terraform preferred; Ansible or CloudFormation acceptable). • Terraform preferred • · Scripting experience in Python, Bash, or similar, including consuming REST APIs and parsing JSON. • · Basic Linux troubleshooting and networking fundamentals (DNS, TLS, load balancing, timeouts, and retries). • · Comfort with Git, pull-request workflows, and CI/CD tools (GitHub Actions, Jenkins, GitLab CI, ArgoCD, or similar). • · Familiarity with incident management and on-call concepts (severity models, escalation policies, PagerDuty or Opsgenie). • · Experience in product engineering services, enterprise software, or fintech is a plus. • · Awareness of compliance frameworks (PCI-DSS, SOC 2, SOX, GLBA) is a plus. • Key Competencies: • Key Competencies: • · Automation mindset: you would rather automate a task the second time you do it than the tenth. • · Good judgment to escalate early instead of sitting on an uncertain production signal. • · Clear written communication: you can explain an incident, a metric, or a trade-off to someone who was not in the room. • · Curiosity about LLM-based assistants and agents applied to operations, and about how to verify that their output is correct. • Preferred Certifications (not required): • · AWS Certified Cloud Practitioner or an Associate-level AWS certification. • · HashiCorp Certified: Terraform Associate. • · Datadog Fundamentals or an equivalent observability certification. • · Certified Kubernetes Administrator (CKA) or KCNA. • · Work Schedule: US shift presential at Guadalajara, Mexico. • · Work Modality: Full-time contractor basis.
Responsibilities
• · Support incident response as a shadow or secondary responder, using AI-driven detection, correlation, and root-cause analysis tools. • · Help build incident timelines from metrics, logs, traces, and deploy history, and document postmortems and corrective actions through to closure. • · Help operate and monitor AI SRE sub-agents (incident summarization, monitor-gap detection, usage attribution), flagging anomalies for senior review. • · Build and maintain Datadog monitors, dashboards, and SLO definitions as code using Terraform, and support SLI/SLO and error-budget reviews for critical customer journeys. • · Help reduce alert noise with AI/ML-assisted detection (anomaly, outlier, and forecast monitors, dynamic thresholds) and run recurring monitor-hygiene reviews. • · Support the day-to-day reliability of AWS workloads (ECS/Fargate, EKS, Lambda, RDS/Aurora, ALB, SQS/SNS, Step Functions). • · Identify capacity, saturation, and cloud cost anomalies, and help attribute spend and telemetry volume to owning teams and services. • · Write automation in Python and Bash against platform APIs (Datadog, AWS, GitHub, PagerDuty, Jira) and contribute Terraform modules through pull requests. • · Help integrate reliability controls and AI-assisted checks into CI/CD pipelines, and create runbooks progressively automated toward self-healing. • · Participate in architecture, reliability, and AI-risk reviews, learning how compliance frameworks (PCI-DSS, SOC 2, SOX, GLBA) apply in a regulated environment.
Benefits
• · Work Environment: Dynamic and collaborative. • · Professional Growth: Hands-on learning in AI-driven SRE practices and opportunities for career advancement. • If you meet the requirements and are interested in this exciting opportunity, apply at www.rehire.ar/jobs and send us your CV! • If you meet the requirements and are interested in this exciting opportunity, apply at • www.rehire.ar/jobs • and send us your CV!
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