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.

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.

Originally posted on Himalayas