DevOps Engineer – AWS | Kubernetes | AI Cloud Infrastructure

Company: Sustainability Economics.ai
Location: Bengaluru, Karnataka, India
Job Type: Full-Time
Experience: 2–5 Years
Domain: DevOps, Cloud Engineering, AI Infrastructure, Clean Energy Technology

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About Sustainability Economics.ai

Sustainability Economics.ai is a global technology organization pioneering the convergence of clean energy and artificial intelligence. The company builds AI-driven cloud platforms and scalable infrastructure to enable profitable energy transitions and end-to-end AI ecosystems.

By combining cloud computing, DevOps automation, and sustainable energy systems, Sustainability Economics.ai delivers intelligent, scalable, and secure platforms that drive innovation across industries. The organization is led by seasoned experts in finance, policy, technology, and AI innovation, committed to long-term impact through technical excellence and capability expansion.

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Role Overview

We are seeking a highly skilled DevOps Engineer to design, build, and optimize cloud-based infrastructure and deployment pipelines supporting AI-driven and SaaS workloads.

This role focuses on high availability, scalability, security, and operational efficiency, leveraging AWS cloud services, Kubernetes (EKS), GitOps, CI/CD pipelines, and Infrastructure as Code (IaC). The ideal candidate has strong hands-on experience in production cloud environments and a passion for building AI-ready, resilient platforms.

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Key Responsibilities

• Collaborate with engineering and product teams to deliver production-ready cloud and AI-driven applications.
• Design, build, and maintain CI/CD pipelines using GitOps principles and tools such as ArgoCD.
• Implement and manage Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Deploy, manage, and scale applications using Docker, Kubernetes, and Amazon EKS.
• Monitor, troubleshoot, and optimize system performance, availability, and reliability.
• Improve cloud security, scalability, and operational efficiency across environments.
• Evaluate and deploy AWS solutions to optimize cost, performance, and resource utilization.
• Automate deployment workflows and operational processes for efficiency and consistency.
• Implement configuration management to maintain environment parity across Dev, QA, and Production.
• Research and adopt emerging DevOps, cloud, and AI infrastructure tools.

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Education & Experience Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 2–5 years of experience as a DevOps Engineer or similar cloud infrastructure role.
• Proven experience managing production workloads on AWS cloud.
• Experience deploying and operating SaaS platforms and AI/Agentic applications.
• Exposure to GitOps workflows and declarative infrastructure management.
• DevOps or Cloud certifications are highly valued (AWS, Kubernetes, Docker).

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Technical Skills Required

• Strong expertise in CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Hands-on experience with AWS services:
  EC2, ECS, EKS, S3, Lambda, API Gateway, DynamoDB, IAM, VPC, CloudWatch, Cognito.
• Proficiency in GitOps and ArgoCD for automated deployments.
• Advanced knowledge of Kubernetes and Amazon EKS.
• Experience with Terraform or CloudFormation for IaC.
• Strong scripting skills in Bash, Python, or YAML.
• Solid understanding of Linux/Unix system administration.
• Experience with monitoring and observability tools such as CloudWatch, Prometheus, Grafana.
• Strong understanding of cloud security best practices and DevOps security principles.

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What You’ll Do

• Build and optimize enterprise-grade CI/CD pipelines.
• Deploy and manage cloud infrastructure using GitOps, IaC, and Kubernetes.
• Automate infrastructure and operations for scalability and reliability.
• Monitor and troubleshoot systems across multiple environments.
• Partner with engineering, product, and AI teams to deliver robust cloud platforms.

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What You Bring

• Passion for cloud infrastructure, DevOps automation, and AI platforms.
• Strong problem-solving skills and ownership mindset.
• Ability to work across engineering, product, and AI/ML teams.
• Experience building scalable, secure, and resilient cloud systems.
• Startup mindset: adaptability, fast iteration, and bias toward action.

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Why Join Sustainability Economics.ai

• Work at the intersection of AI, cloud computing, and clean energy.
• Build next-generation AI-ready cloud infrastructure.
• Be part of a mission-driven, high-impact technology team.
• Aggressive growth opportunities and long-term career acceleration.
• Opportunity to leave a lasting impact on sustainable technology platforms.

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AdSense & Google Ads Keywords

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High-CPC Target Countries

United States, United Kingdom, Canada, Australia, Germany, Switzerland, Singapore, United Arab Emirates, Netherlands, Ireland.

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