Platform Engineer (freelancer)

Soul Ai; Delhi; Remote; INR 2,790,000 - 5,022,000; Part time

Benefits offered by this job

Competitive pay

Job summary

Soul AI is seeking top-tier Platform Engineers in India to build scalable AI/ML platforms. You will architect cloud infra, deploy Kubernetes clusters, and create robust CI/CD pipelines while implementing observability and security best practices.

The role offers flexible remote options and potential onsite opportunities in major Indian tech hubs. Interested candidates should have cloud, Kubernetes, IaC, and scripting expertise to join an elite community of AI professionals.

Qualifications

• Expertise in cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform, Pulumi) with strong knowledge of Kubernetes, Docker, CI/CD pipelines, and scripting (Bash, Python).
• Experience with observability tools (Prometheus, Grafana, ELK stack) and security practices (RBAC, IAM).
• Familiarity with networking (VPC, Load Balancers, DNS) and performance optimization.

Responsibilities

• Architect and maintain scalable cloud infrastructure on AWS, GCP, or Azure using Terraform and CloudFormation.
• Design and implement Kubernetes clusters with Helm, Kustomize, and service mesh (Istio, Linkerd).
• Develop CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, and Argo CD for automated deployments.
• Implement observability solutions (Prometheus, Grafana, ELK) and automate provisioning with Ansible, Chef, Puppet, while optimizing cloud costs and security.

Skills

Cloud platforms (AWS, GCP, Azure)

Kubernetes

CI/CD pipelines

Scripting (Bash, Python)

Observability and security practices

Networking (VPC, DNS, Load Balancers)

Infrastructure as code (Terraform, Pul

Performance optimization

Tools

Terraform

Pulumi

Kubernetes (Helm, Kustomize)

Service Mesh (Istio, Linkerd)

CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Argo CD)

Docker

Prometheus

Grafana

ELK stack

Ansible

Chef

Puppet

Terraform CloudFormation

Job description

About the Role

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).

We are looking for Indias top 1% Platform Engineers for a unique job opportunity to work with the industry leaders.

Who can be a part of the community.

We are looking for Platform Engineers focusing on building scalable and high-performance AI/ML platforms.

Strong background in cloud architecture, distributed systems, Kubernetes, and infrastructure automation is expected.

If you have experience in this field then this is your chance to collaborate with industry leaders.

Whats in it for you.

Pay above market standards.

The role is going to be contract based with project timelines from 2 12 months, or freelancing.

Be a part of an Elite Community of professionals who can solve complex AI challenges.

Be a part of an Elite Community of professionals who can solve complex AI challenges.

Work location could be.

• Remote (Highly likely).
• Onsite on client location.
• Deccan AIs OfficeHyderabad or Bangalore.

Responsibilities.

• Architect and maintain scalable cloud infrastructure on AWS, GCP, or Azure using tools like Terraform and Cloud Formation.
• Design and implement Kubernetes clusters with Helm, Kustomize, and Service Mesh (Istio, Linkerd).
• Develop CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, and Argo CD for automated deployments.
• Implement observability solutions (Prometheus, Grafana, ELK stack) for logging, monitoring, and tracing & automate infrastructure provisioning with tools like Ansible, Chef, Puppet, and optimize cloud costs and security.

Required Skills

• Expertise in cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform, Pulumi) with strong knowledge of Kubernetes, Docker, CI/CD pipelines, and scripting (Bash, Python).
• Experience with observability tools (Prometheus, Grafana, ELK stack) and security practices (RBAC, IAM).
• Familiarity with networking (VPC, Load Balancers, DNS) and performance optimization.

Nice to Have

• Experience with Chaos Engineering (Gremlin, LitmusChaos), Canary or Blue-Green deployments.
• Knowledge of multi-cloud environments, FinOps, and cost optimization strategies.