Location: Gandhinagar, Gujarat (On-site)
Employment Type: Full-Time
Experience: 2–4 Years
About Zignuts
Zignuts is a global technology consulting and AI-powered software engineering company helping startups, SMEs, and enterprises build scalable digital products.
Our engineering culture is built around ownership, automation, continuous learning, and AI-assisted software development. We believe modern infrastructure engineers do much more than manage servers—they build reliable platforms that enable development teams to deliver software faster, safer, and at scale.
If you're passionate about cloud infrastructure, automation, security, and solving production challenges, we'd love to meet you.
About the Role
As a Platform / DevOps Engineer, you'll be responsible for designing, deploying, securing, monitoring, and maintaining production infrastructure across cloud and on-premise environments.
You'll work closely with software engineers, architects, and technical leadership to build highly available systems while continuously improving automation, deployment pipelines, monitoring, and security.
This role also includes mentoring junior engineers and contributing to engineering best practices.
Key Responsibilities
- 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.
- 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.
Manage production databases including:
- PostgreSQL
- MySQL
- MongoDB
Responsibilities include:
- Installation & Configuration
- Backup & Restore
- Replication
- Performance Tuning
- High Availability & Failover
- Monitoring & Alerting
- Disaster Recovery
- 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.
- 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.
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.
