Part-Time DevOps Engineer (Remote) - Agento

About the job

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