Junior SRE Engineer – AI-Driven SRE & Cloud SRE

Location: Country Club, Guadalajara, Jalisco, Mexico 44610

Experience: 1–3 Years

Education: BTech / BE / MCA / MSc Computer Science

Reporting To: Lead SRE / Solution Architect – Reliability Engineering

About the Role

CLOUDSUFI is looking for a Junior SRE Engineer to join an AI-driven Site Reliability Engineering team supporting a regulated enterprise platform in Guadalajara.

This role is idóneo for an early-career SRE, DevOps, Cloud, or Production Support Engineer who wants hands-on exposure to AWS, Datadog, Terraform, Kubernetes, Python/Bash automation, CI/CD, incident management, and AI-driven reliability engineering .

You will work closely with senior SRE engineers and architects to support production reliability, observability, automation, cloud operations, and AI-enabled incident response.

Key Responsibilities

1. AI-Augmented Incident Response & RCA

- Support incident response as a secondary/shadow responder under senior SRE guidance.
- Analyze metrics, logs, traces, and deployment history to help identify incident causes.
- Support AI-driven incident detection, correlation, summarization, and RCA tools.
- Assist with postmortems and tracking corrective and preventive actions.

1. Observability & Alert Management

- Build and maintain Datadog monitors, dashboards, and SLOs using Terraform .
- Support anomaly detection, outlier detection, forecast monitors, composite alerts, and dynamic thresholds.
- Help reduce alert noise and improve monitor quality.
- Conduct monitor-hygiene and coverage-gap reviews.
- Support SLI/SLO and error-budget reviews for critical services.

1. AWS Cloud Reliability

- Support AWS workloads including ECS/Fargate, EKS, Lambda, RDS/Aurora, ALB, SQS/SNS, and Step Functions .
- Monitor capacity, performance, saturation, and cloud-cost trends.
- Assist with cloud observability and cost governance.
- Identify unusual or high-cost telemetry and infrastructure patterns and escalate findings.

1.



AI Governance & Reliability

- Participate in reliability and architecture reviews under senior guidance.
- Learn how risks such as prompt injection, authorization gaps, secrets exposure, and autonomous-agent blast radius are assessed.
- Support production-readiness, change-management, and audit requirements.
- Assist in tracking AI-risk and reliability remediation activities.

1. DevOps, CI/CD & Automation

- Support reliability and security controls within CI/CD pipelines.
- Assist with AI-enabled change-risk, configuration, dependency, and infrastructure-drift checks.
- Develop automation using Python and Bash against AWS, Datadog, GitHub, PagerDuty, and Jira APIs.
- Contribute to Terraform modules and pull requests.
- Help create runbooks and progressively automate operational procedures.

1. Reliability Workflow Support

- Support multiple reliability initiatives across SRE and Security teams.
- Maintain operational documentation and workflow tracking.
- Contribute to a reliability-first, automation-focused engineering culture.

Required / Relevant Technical Skills
- 1–3 years of experience in SRE, DevOps, Cloud, Platform Engineering, or Production Support .
- Exposure to AWS or another major cloud platform .
- Knowledge of monitoring/observability concepts: metrics, logs, traces, and APM.
- Exposure to Datadog, Grafana, Prometheus, New Relic, CloudWatch, ELK, or OpenSearch .
- Basic understanding of SLI, SLO, error budgets, and alert management .
- Knowledge of Docker and Kubernetes/ECS .
- Beginner-to-intermediate Terraform, Ansible, or CloudFormation experience.
- Basic Linux and networking troubleshooting skills.




- Understanding of DNS, TLS, load balancing, timeouts, and retries.
- Some hands-on experience with Python, Bash, or similar scripting .
- Understanding of REST APIs and JSON.
- Experience with Git and pull-request workflows.
- Exposure to CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or ArgoCD .
- Familiarity with incident management, escalation processes, and PagerDuty/Opsgenie.
- Interest in AI/LLM-based operational tools and AIOps .

Core Competencies
- SRE fundamentals: SLI, SLO, error budgets, and toil reduction
- Observability and monitoring
- AIOps and anomaly detection
- Incident response and RCA
- AWS cloud infrastructure
- Docker, ECS, and Kubernetes
- Terraform / Infrastructure as Code
- CI/CD and release engineering
- Python/Bash automation
- Cloud cost and reliability engineering
- Resilience patterns
- Disaster recovery and failure-management concepts
- Runbook automation and self-healing
- DevSecOps fundamentals
- AI-agent risk and governance fundamentals

Preferred Certifications Certifications are preferred but not mandatory :

- AWS Certified Cloud Practitioner or Associate
- HashiCorp Terraform Associate
- Datadog Fundamentals or equivalent
- CKA or KCNA
- AI/ML or AIOps-related certification/exposure

Ideal Candidate We are looking for someone who:
- Has 1–3 years of hands-on technical experience .
- Enjoys troubleshooting problems using data and evidence.
- Is interested in cloud infrastructure and reliability engineering.
- Wants to grow in AWS, Terraform, Datadog, Kubernetes, and automation .
- Is curious about applying AI to SRE and operational workflows.
- Understands the importance of production discipline and incident escalation.
- Is comfortable working in a US shift and participating in a shadow on-call rotation.
- Communicates clearly and works well with senior engineers and architects.

Location: Country Club, Guadalajara, Jalisco, Mexico 44610

📌 Junior SRE Engineer (Guadalajara)
🏢 CLOUDSUFI
📍 Guadalajara