Swayalgo Technologies Pvt Ltd is a fast-growing technology company focused on AI infrastructure, scalable cloud platforms, enterprise systems, GPU computing, Kubernetes orchestration, and cloud-native technologies.

The company works on modern infrastructure powering Artificial Intelligence, LLM workloads, distributed systems, observability platforms, and high-performance enterprise-scale applications.

Swayalgo values engineers who are builders, innovators, and problem-solvers with strong ownership and real-world infrastructure experience.

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Job Overview

We are hiring passionate and skilled DevOps Engineers with 1–3 years of experience who are excited about Kubernetes clusters, cloud infrastructure, automation, observability, production reliability, and AI infrastructure systems.

Candidates will work on:

- Kubernetes & Container Platforms

- Cloud Infrastructure (AWS/GCP)

- CI/CD Automation

- GPU Server Infrastructure

- AI/LLM Platforms

- Production Reliability Engineering

- Monitoring & Observability

- Distributed & High Availability Systems

This role is ideal for:

- DevOps Engineers

- Cloud Engineers

- Platform Engineers

- Site Reliability Engineers (SRE)

- Infrastructure Engineers

- AI Infrastructure Engineers

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Key Responsibilities

Cloud & Infrastructure

- Manage scalable infrastructure on AWS and GCP

- Support production-grade cloud-native systems

- Optimize cloud infrastructure and deployments

Kubernetes & Containerization

- Deploy and manage Kubernetes clusters

- Work with Docker container orchestration

- Maintain scalable containerized applications

CI/CD & Automation

- Build and automate CI/CD pipelines

- Improve deployment workflows and automation

- Automate infrastructure operations using scripts

Production Reliability

- Troubleshoot and debug production infrastructure

- Improve system reliability and scalability

- Support high availability infrastructure systems

Monitoring & Observability

- Implement monitoring and observability solutions

- Analyze logs, metrics, and system health

- Improve incident response and infrastructure visibility

AI & GPU Infrastructure

- Support AI/LLM infrastructure environments

- Work with GPU workload optimization

- Maintain scalable compute infrastructure

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Required Skills

- Linux Systems Administration

- Networking Fundamentals

- Kubernetes & Docker

- AWS or GCP Cloud Platforms

- CI/CD Pipeline Automation

- Bash or Python Scripting

- Production Debugging

- Infrastructure Reliability

- Problem-solving mindset

- Ownership and collaboration skills

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Nice To Have Skills

- Terraform Infrastructure as Code

- Ansible Automation

- AI / LLM Infrastructure

- GPU Workload Optimization

- Distributed Systems

- High Availability Systems

- Observability & Monitoring Tools

- Self-hosted Infrastructure Experience

- Homelab Experience

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Required Qualifications

- 1–3 years of DevOps or Cloud Infrastructure experience

- Strong understanding of Linux systems and networking

- Hands-on Kubernetes and Docker experience

- Experience with AWS or GCP cloud platforms

- Knowledge of automation and scripting

- Strong troubleshooting skills

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Recently Asked DevOps & Kubernetes Interview Questions

1. What is Kubernetes?

Answer: Kubernetes is a container orchestration platform used to deploy, scale, and manage containerized applications.

2. What is CI/CD?

Answer: CI/CD automates application build, testing, integration, and deployment processes.

3. What is Infrastructure as Code?

Answer: Infrastructure as Code (IaC) automates infrastructure provisioning using tools like Terraform and Ansible.

4. What is Observability?

Answer: Observability helps monitor system health using logs, metrics, and traces.

5. What is Docker used for?

Answer: Docker is used for packaging applications and dependencies into portable containers.

6. What is a GPU workload?

Answer: GPU workloads are compute-intensive tasks like AI model training and machine learning inference executed using GPU resources.

7. Difference between AWS and GCP?

Answer: AWS and GCP are cloud providers offering infrastructure, networking, storage, AI, and computing services with different ecosystems and tools.

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Recommended Certifications

- Certified Kubernetes Administrator (CKA)

- AWS Certified Solutions Architect Associate

- Google Associate Cloud Engineer

- HashiCorp Terraform Associate

- Docker Certified Associate

- RHCSA – Red Hat Certified System Administrator

- AWS DevOps Engineer Professional

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Career Opportunities

Candidates can grow into:

- Senior DevOps Engineer

- Platform Engineer

- Cloud Architect

- Site Reliability Engineer (SRE)

- Kubernetes Engineer

- AI Infrastructure Engineer

- Cloud Automation Engineer

- Infrastructure Reliability Engineer

- GPU Infrastructure Specialist

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Top Hiring Countries For DevOps & AI Infrastructure Engineers

- India

- United States

- Canada

- Germany

- United Kingdom

- Australia

- Singapore

- Netherlands

- United Arab Emirates

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Why Join Swayalgo Technologies?

- Work on modern AI infrastructure systems

- Exposure to Kubernetes and GPU workloads

- Opportunity to build enterprise-scale cloud platforms

- Collaborative engineering culture

- Learn observability and production reliability

- Work on scalable and distributed systems

- Strong growth opportunities in AI & Cloud Engineering

Apply Now

Send your CV and portfolio to:

careers@swayalgo.com