Part-Time DevOps Engineer (Remote) - Agento

Part\-Time DevOps Engineer (Remote) — Agento AIOS Location: Remote (Karachi) Type: Part\-Time (Flexible Hours) Company: Agento (Enterprise AI Operating System) 🔹 About Agento Agento is building an enterprise\-grade AI Operating System (AIOS) designed to execute multi\-step business workflows across enterprise tools with governance, auditability, and reliability at its core. Our platform combines: * Skills \& workflows (Temporal\-based durable execution) * API connectors \+ UI operators (desktop/browser automation) * Model routing across multiple LLMs * Enterprise governance (RBAC, policy engine, audit logs) **We are currently building our MVP with a lean, high\-impact engineering team.** **🔹 Role Overview** **We are looking for a Part\-Time DevOps Engineer to help design, implement, and maintain the infrastructure powering Agento’s AIOS platform.** **You will work closely with backend, AI, and product engineers to ensure scalable, secure, and reliable deployments across control and execution planes.** **🔹 Key Responsibilities** * Set up and manage cloud infrastructure (Azure preferred) for MVP and scaling * Design CI/CD pipelines using GitHub Actions \+ GitOps (ArgoCD) * Deploy and manage services using Docker \+ Kubernetes * Support Temporal workflow infrastructure and worker scaling * Implement observability stack (OpenTelemetry, logs, metrics, tracing) * Manage PostgreSQL, Redis, and object storage (S3\-compatible) * Ensure secure secrets management and access control (RBAC, IAM) * Implement environment isolation (dev, staging, production) * Optimize performance, uptime, and cost across services **🔹 Technical Stack** **You’ll work with (or learn):** * Cloud: Azure (preferred), AWS/GCP (optional) * Containers: Docker, Kubernetes * CI/CD: GitHub Actions, ArgoCD, Terraform * Backend Infra: Node.js / Python services * Data: PostgreSQL, Redis, pgvector * Workflow Engine: Temporal * Observability: OpenTelemetry, Prometheus/Grafana * Security: OPA (policy engine), RBAC, audit logging **Aligned with our architecture:** **Control Plane (APIs, workflows, governance)** **Execution Plane (connectors, sandboxed operators)** **🔹 What We’re Looking For** * Strong fundamentals in Linux, networking, and cloud infrastructure * Experience with Docker and containerized deployments * Basic knowledge of CI/CD pipelines and automation * Understanding of microservices architecture * Familiarity with databases (Postgres/Redis) * Interest in AI systems, workflows, or distributed systems **Bonus:** * Experience with Kubernetes * Exposure to Temporal / workflow engines * Experience with security, IAM, or policy systems * Startup or MVP\-building experience **🔹 Why Join Us** * Work on a next\-gen enterprise AI platform (AIOS) * Learn cutting\-edge architecture: * Multi\-agent systems * Durable workflows * AI \+ automation infrastructure * Flexible working hours (ideal for students or early\-career engineers) * Opportunity to transition into full\-time role \+ ESOPs * Build something from 0 → 1 with real enterprise use cases -