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Overview: Infrastructure Automation and CI/CD
The DevOps Engineer is responsible for automating, streamlining, and maintaining the infrastructure and deployment pipelines for our entire integrated platform. You'll ensure rapid, reliable, and consistent delivery of our e-commerce storefront, internal supply chain tools (MES, WMS, OMS), and cutting-edge AI agent services, primarily utilizing Infrastructure-as-Code (IaC) and robust CI/CD practices.
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 build and maintain the fully automated platform that underpins our entire tech stack.
Infrastructure-as-Code (IaC): Design, implement, and manage infrastructure provisioning across all environments using Terraform for our Oracle Cloud Free VMs (or equivalent cloud resources). Ensure infrastructure is auditable, repeatable, and secure.
CI/CD Pipeline Management: Set up and maintain the Continuous Integration and Continuous Deployment (CI/CD) pipelines, primarily driven by Makefile and automated testing, for the Node.js/NestJS modular monolith and Next.js frontend applications.
Containerization & Orchestration: Manage application containerization using Docker. Define deployment strategies, service discovery, and traffic routing using Traefik for our containerized services.
Observability Implementation: Implement, manage, and optimize the comprehensive logging, monitoring, and alerting system using our selected stack: Prometheus, Grafana, Loki, Tempo, and OpenTelemetry. Ensure end-to-end tracing is functional across the complex business flow (MES → WMS → OMS).
Resilience & Backups: Collaborate with the SRE team to implement high-availability features and maintain automated backup solutions, including pgBackRest for our PostgreSQL 15 database.
Workflow: Maintain the Monorepo structure for streamlined code management and deployment separation across applications (web / admin / API) and domain packages.
Required Technologies & Tools
Candidates must possess mandatory expertise in our core infrastructure and automation stack:
Infrastructure-as-Code: Expert proficiency in Terraform.
Containerization: Expert proficiency in Docker and deployment strategies (e.g., Traefik, orchestration concepts).
CI/CD: Hands-on experience building and maintaining complex pipelines (Makefile, Jenkins/GitHub Actions/GitLab CI concepts).
Observability: Strong implementation experience with Prometheus, Grafana, Loki, and OpenTelemetry.
Cloud & Linux: Experience with Linux administration and managing cloud resources (Oracle Cloud or equivalent).
AI Agent Focus
You will ensure the scalable and monitored deployment of the AI layer.
Deployment Automation: Automate the packaging and deployment pipelines for resource-intensive AI agent services and LLM fine-tuning environments.
Resource Monitoring: Set up specific monitoring and alerts to track the performance, resource consumption, and cost of the AI agent compute demands.
Success Metrics & Career Path
Performance will be measured by:
Deployment Frequency: Reduction in lead time and increased frequency of stable deployments.
Infrastructure Stability: Reliability of provisioned infrastructure (minimal unplanned downtime).
Observability Coverage: Completeness and reliability of monitoring, logging, and tracing across all production services.
Mentorship Structure: Reports to the Solution Architect or Head of Technology, working closely with the SRE, DevSecOps, and Backend engineering teams to build a robust platform.
