DevOps Engineer

About AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors Now, we’re looking for a DevOps Engineer to help scale our infrastructure and optimize performance for millions of users. 🚀 What You’ll Do (Key Responsibilities) 🔹 CI/CD & Automation: Implement, manage, and optimize CI/CD pipelines using AWS CodePipeline, GitHub Actions, or Jenkins. Automate deployment processes to improve efficiency and reduce downtime. 🔹 Infrastructure Management Use Terraform, Ansible, Chef, Puppet, or Pulumi to manage infrastructure as code. Deploy and maintain Dockerized applications on Kubernetes clusters for scalability. 🔹 Cloud & Security Work extensively with AWS (Preferred) or other cloud platforms to build and maintain cloud infrastructure. Optimize cloud costs and ensure security best practices are in place. 🔹 Monitoring & Troubleshooting Set up and manage monitoring tools like CloudWatch, Prometheus, Datadog, New Relic, or Grafana to track system performance and uptime. Proactively identify and resolve infrastructure-related issues. 🔹 Scripting & Automation Use Python or Bash scripting to automate repetitive DevOps tasks. Build internal tools for system health monitoring, logging, and debugging. What We’re Looking For (Must-Have Skills) ✅ Version Control: Proficiency in Git (GitLab / GitHub / Bitbucket) ✅ CI/CD Tools: Hands-on experience with AWS CodePipeline, GitHub Actions, or Jenkins ✅ Infrastructure as Code: Strong knowledge of Terraform, Ansible, Chef, or Pulumi ✅ Containerization & Orchestration: Experience with Docker & Kubernetes ✅ Cloud Expertise: Hands-on experience with AWS (Preferred) or other cloud providers ✅ Monitoring & Alerting: Familiarity with CloudWatch, Prometheus, Datadog, or Grafana ✅ Scripting Knowledge: Python or Bash for automation Bonus Skills (Good To Have, Not Mandatory) ➕ AWS Certifications: Solutions Architect, DevOps Engineer, Security, Networking ➕ Experience with Microsoft/Linux/F5 Technologies ➕ Hands-on knowledge of Database servers ➕ Experience on AWS Sagemaker, AWS Bedrock Skills:- DevOps, Docker, Kubernetes, Terraform and Amazon Web Services (AWS) Show more Show less