Site Reliability Engineer Internship

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.

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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).

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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).

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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.

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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.

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Disaster Recovery (DR): Design, implement, and regularly test Disaster Recovery procedures, including backup and restoration workflows for PostgreSQL 15 using tools like pgBackRest.

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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:

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Observability Stack: Prometheus, Grafana, Loki, Tempo, OpenTelemetry (mandatory).

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Infrastructure & Platform: Terraform, Docker, Traefik, Oracle Cloud Free VMs (or equivalent public cloud).

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Data & Resilience: PostgreSQL (Deep knowledge), Redis, pgBackRest.

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Automation: Strong scripting skills (Python/Bash) and experience with CI/CD tools and Makefile.

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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.

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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.

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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:

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Uptime/Availability: Achieving defined SLAs/SLOs across the platform.

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MTTR: Reduction in Mean Time To Recover from production incidents.

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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