Posted today · be early
Site Reliability Engineer Internship
Metasys
WorldwideremotePosted 1 day ago
Skill Required
Site-Reliability-EngineerReliability-EngineerDevOps-EngineerCloud-Operations-EngineerInfrastructure-EngineerSite-Reliability-Engineer-InternSRE-InternSite Reliability Engineersoftware engineeringBackup and RecoverySOCObservabilityCD pipelinesEngineeringTerraformPostgreSQLPrometheusautomationLangChainPythonOracleDockerdesignExpressRedisCI/CDCloudShell ScriptingandGenerative AICICDAIInternship
Key highlights
- Duration: 3 months
- Location: Remote
- Stipend: None initially
- Potential for paid full-time/FTE conversion
- Required: Deep knowledge of PostgreSQL and SRE principles
- Mandatory: Prometheus, Grafana, Loki, Tempo, OpenTelemetry
Role overview
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.
Responsibilities
- Champion of uptime, performance, and automated operations for systems handling the critical MES → WMS → OMS flow.
- 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).
- 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).
- 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.
- 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.
- Design, implement, and regularly test Disaster Recovery procedures, including backup and restoration workflows for PostgreSQL 15 using tools like pgBackRest.
- Eliminate operational toil through automation, managing infrastructure-as-code (Terraform) and CI/CD pipelines (Makefile).
- 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.
- Efficiently manage resource allocation for computationally intensive AI workloads to maintain platform stability and cost-efficiency.
Requirements
- 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.
Benefits
- 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.
Additional details
- Duration: 3 months
- Start Date: Immediate
- Location: Remote
- Stipend: None initially.
- Performance will be measured by: Uptime/Availability (Achieving defined SLAs/SLOs across the platform), MTTR (Reduction in Mean Time To Recover from production incidents), and 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.
- Originally posted on Himalayas
