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Open nowPosted 325 days ago

Site Reliability Engineer Internship

metasysglobal25 open roles

Where
International
Work mode
Remote
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Your applicationOpen nowSite Reliability Engineer Internshipmetasysglobal · International

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 325 days ago

The posting

Overview: Reliability and Operational Excellence

The Site Reliability Engineer (SRE) is responsible for the ultimate stability, performance, and scalability of our entire integrated supply chain e-commerce platform. You will apply software engineering principles to operations, ensuring the high availability and resilience of the customer-facing e-commerce storefront, internal SaaS tools (WMS, OMS), and specialized AI agent services.

Internship Details

Duration: 3 months Start Date: Immediate Location: Remote Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.

Key Responsibilities & Core Projects

You will be the champion of uptime, performance, and automated operations for systems handling the critical MES → WMS → OMS flow.

  • Availability & SLO Management: Define, implement, and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for core business processes and all application layers. Manage the platform's overall Service Level Agreement (SLA).
  • Observability & Alerting: Architect, maintain, and optimize the comprehensive observability stack (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). Develop high-fidelity alerting and ensure distributed tracing across the NestJS modular monolith and associated data stores (PostgreSQL, Redis).
  • Incident Response & Review: Own the incident response workflow, ensuring rapid triage, mitigation, and root cause analysis. Conduct thorough post-incident reviews to drive continuous improvement and eliminate recurring toil.
  • Scalability & Capacity Planning: Optimize auto-scaling policies for all services running on Docker containers. Conduct capacity planning based on business projections, especially for peak e-commerce and manufacturing load.
  • Disaster Recovery (DR): Design, implement, and regularly test Disaster Recovery procedures, including backup and restoration workflows for PostgreSQL 15 using tools like pgBackRest.
  • Automation: Eliminate operational toil through automation, managing infrastructure-as-code (Terraform) and CI/CD pipelines (Makefile).

Required Technologies & Tools

Candidates must possess deep experience in cloud operations, observability, and infrastructure automation:

  • Observability Stack: Prometheus, Grafana, Loki, Tempo, OpenTelemetry (mandatory).
  • Infrastructure & Platform: Terraform, Docker, Traefik, Oracle Cloud Free VMs (or equivalent public cloud).
  • Data & Resilience: PostgreSQL (Deep knowledge), Redis, pgBackRest.
  • Automation: Strong scripting skills (Python/Bash) and experience with CI/CD tools and Makefile.
  • Methodology: Expert knowledge of SRE principles, toil reduction, and error budgeting.

AI Agent Focus

You will be responsible for the operational reliability of the emerging AI layer.

  • Agent Reliability: Implement specialized monitoring and logging for the AI agent services, ensuring LLM integrations and multi-agent systems (built with frameworks like LangChain) meet defined performance and availability SLOs.
  • Resource Optimization: Efficiently manage resource allocation for computationally intensive AI workloads to maintain platform stability and cost-efficiency.

Success Metrics & Career Path

Performance will be measured by:

  • Uptime/Availability: Achieving defined SLAs/SLOs across the platform.
  • MTTR: Reduction in Mean Time To Recover from production incidents.
  • Toil Reduction: Measured percentage reduction in manual, repetitive operational tasks through automation.

Mentorship Structure: Reports to the Head of Technology/CTO, working collaboratively with DevSecOps and development teams to ensure software is designed for reliability.

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