Role OverviewAt Rehire, we are partnering with a US-based data engineering and cloud technologies company to find a Junior SRE Engineer to join its Reliability Engineering team. You will be embedded with the SRE function of a financial services client, supporting a regulated consumer-lending platform on AWS with hundreds of microservices and event-driven pipelines, where reliability directly impacts customer trust and compliance.This is a unique opportunity to grow in an environment where AI is already part of day-to-day operations, including an AI SRE co-pilot, purpose-built AI agents for incident triage and monitoring, and a formal AI governance program. Working under the guidance of senior engineers and architects, you will help operate, improve, and learn from this AI-driven reliability program.Key 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.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, NewRelic, CloudWatch, or ELK/OpenSearch also relevant).- 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).- 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- Automation mindset: you would rather automate a task the second time you do it than the tenth.- Good judgment to escalat e 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.About the Position- Work Schedule: US shift presential at Guadalajara, Mexico.- Work Modality: Full-time contractor basis.- Competitive Salary Paid in USD.- Work Environment: Dynamic and collaborative.- Professional Growth: Hands-on learning in AI-driven SRE practices and opportunities for career advancement.#J-18808-Ljbffr

📌 Junior Sre Engineer Guadalajara Mexico (Albacete)
🏢 ReHire
📍 Albacete