Key Responsibilities

Cloud Infrastructure

• Deploy and manage infrastructure on AWS, Azure, and GCP.

• Work with additional cloud providers such as Hetzner, OVH, DigitalOcean, and others based on project requirements.

• Provision, configure, and maintain development, staging, and production environments.

• Optimize infrastructure performance, scalability, availability, and cost.

Platform Engineering & DevOps

• Build and maintain CI/CD pipelines.

• Automate deployment processes.

• Manage containerized applications using Docker and Docker Compose.

• Implement Infrastructure as Code using Terraform.

• Improve deployment reliability and release efficiency.

• Troubleshoot deployment and production issues.

Server Administration

• Administer Ubuntu Linux servers.

• Manage Bare Metal Servers and Virtual Machines.

• Configure operating systems, networking, and storage.

• Perform server upgrades, migrations, and patch management.

• Monitor server health and performance.

Database Administration

Manage production databases including:

• PostgreSQL

• MySQL

• MongoDB

Responsibilities include:

• Installation & Configuration

• Backup & Restore

• Replication

• Performance Tuning

• High Availability & Failover

• Monitoring & Alerting

• Disaster Recovery

Monitoring & Reliability

• Build dashboards using Prometheus and Grafana.

• Configure infrastructure monitoring and alerting.

• Perform root cause analysis for production incidents.

• Improve system reliability and uptime.

• Participate in incident response and post-incident reviews.

Networking & Security

• Configure and manage Nginx, Reverse Proxies, SSL/TLS, DNS, Firewalls, and Load Balancers.

• Implement infrastructure hardening and security best practices.

• Manage IAM, SSH access, secrets, and authentication mechanisms.

• Ensure regular security updates and vulnerability remediation.

Automation & Scripting

Develop automation using:

• Bash

• Python

• PowerShell

• Node.js

Automate repetitive operational tasks to improve engineering productivity.

AI-Assisted Engineering (Mandatory)

We expect engineers to effectively leverage AI as part of their daily workflow.

Examples include:

• ChatGPT

• Claude

• GitHub Copilot

• Cursor

• Similar AI engineering tools

AI should be used to improve:

• Infrastructure automation

• Troubleshooting

• Documentation

• Scripting

• Operational efficiency

• Knowledge sharing

Technical Skills

Must Have

• Ubuntu Linux Administration

• Docker & Docker Compose

• Terraform

• Git & GitHub

• GitHub Actions and/or Jenkins

• Experience with AWS, Azure, or GCP

• Prometheus & Grafana

• PostgreSQL, MySQL, or MongoDB

• Nginx

• Networking fundamentals

• Server Administration

• Infrastructure Security

Good to Have

• Kubernetes fundamentals

• Additional CI/CD tools

• Additional cloud platforms

• Redis

• Elasticsearch/OpenSearch

• VPN configuration

• HAProxy

• Cloudflare

• Infrastructure cost optimization

Soft Skills

We are looking for engineers who:

• Take complete ownership of their work.

• Think beyond assigned tasks and proactively identify improvements.

• Have excellent troubleshooting and analytical skills.

• Communicate clearly with technical and non-technical teams.

• Stay calm during production incidents.

• Continuously learn and adapt to new technologies.

• Document their work thoroughly.

• Mentor junior engineers and contribute to team growth.

• Build automation instead of repeating manual work.

• Maintain a customer-first mindset with attention to quality and reliability.

Why Join Zignuts?

• Work on modern cloud-native and AI-powered products.

• Exposure to international clients across multiple industries.

• Build expertise across AWS, Azure, GCP, and modern DevOps practices.

• Work in an AI-first engineering culture.

• Learn directly from experienced technical leaders.

• Opportunity to grow into senior engineering and platform leadership roles.

• High ownership, challenging projects, and continuous learning.

Education

Bachelor's or Master's degree in Computer Engineering, Information Technology, Computer Science, or a related field.

If You Are Someone Who...

• Loves solving infrastructure problems.

• Enjoys automation more than repetitive manual work.

• Believes AI makes engineers more productive.

• Wants to build reliable systems used by real customers.

• Takes pride in building scalable and secure platforms.
  
  We'd love to hear from you.