DevOps Engineer

Job Title: DevOps Engineer   Location: Bengaluru, Karnataka   About the Company:  Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.  Role Summary:  We are seeking a skilled and experienced DevOps Engineer to design, build, and optimize cloud-based infrastructure and deployment pipelines. The role focuses on creating reliable, scalable, and efficient systems that support a variety of workloads. The ideal candidate will have hands-on experience with CI/CD, GitOps, containerization, orchestration, and AWS services, and will drive improvements in availability, security, and operational efficiency across complex systems.  Key Responsibilities:  Collaborate with software and product teams to design and integrate applications, including AI-driven or SaaS services, from development through production. Build, optimize, and maintain CI/CD pipelines, leveraging GitOps principles and tools like ArgoCD to automate deployments and manage infrastructure declaratively. Design and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation for scalable environments. Monitor, troubleshoot, and enhance system performance, ensuring high availability and resilience across applications. Work with cross-functional teams to improve security, scalability, and operational reliability of infrastructure. Implement and manage containerization and orchestration technologies (Docker, Kubernetes,EKS) for deploying and scaling applications effectively. Evaluate and deploy cloud solutions that optimize resources, performance, and costs. Collaborate with development and operations teams to improve automation and streamline deployment processes.  Implement and maintain configuration management practices to ensure consistency across multiple environments. Explore and adopt emerging tools and frameworks to continuously improve infrastructure, deployment pipelines, and AI-enabled workflows. Key Requirements: Education & Experience: Bachelor’s degree in Computer Science, Information Technology, or related field. Proven experience of 2–5 years as a DevOps Engineer or in a similar role. Hands-on experience with cloud platforms (preferably AWS) and managing production workloads. Experience in deploying, scaling, and maintaining SaaS and Agentic applications. Exposure to GitOps practices and tools such as ArgoCD for declarative infrastructure management. Certifications such as AWS Certified DevOps Engineer, Docker Certified Associate, Kubernetes Certified Administrator, or AWS Certified SysOps Administrator-Associate are highly valued. Skills Required: Strong knowledge of CI/CD concepts and experience with tools such as GitHub, GitHub Actions, Jenkins, or GitLab Actions. Familiarity with AWS cloud platform and experience with AWS services such as EC2, ECS, EKS, S3, Lambda, API Gateway, DynamoDB, IAM, Terraform, Cognito, VPC, CloudWatch and CloudFormation. Proficiency in GitOps workflows and ArgoCD for automated deployments. Hands-on experience with Kubernetes and EKS for container orchestration. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Proficiency in scripting languages such as Bash, Python, or YAML. Strong knowledge of Linux/Unix systems and system administration. Familiarity with monitoring, logging, and observability tools (CloudWatch, Prometheus, Grafana). Understanding of security best practices for cloud and DevOps environments. Excellent problem-solving, communication, and collaboration skills. Agile, proactive, and comfortable working in fast-paced, ambiguous environments.  What You’ll Do: Build and optimize CI/CD pipelines for cloud-based applications. Deploy and manage infrastructure using GitOps (ArgoCD), IaC (Terraform/CloudFormation), and container orchestration (Docker/Kubernetes). Automate operational workflows for reliability, scalability, and efficiency. Monitor, troubleshoot, and enhance system performance across environments. Collaborate with engineering and product teams to implement robust, production-ready solutions.  What you will bring Passion for building scalable, reliable, and AI-ready infrastructure and deploying innovative cloud solutions. Strong problem-solving skills and a drive for automation, efficiency, and innovation. Ability to collaborate effectively across engineering, product, and AI/ML teams. Hands-on experience with cloud platforms, CI/CD pipelines, GitOps, and containerized deployments. Agile mindset, adaptability, and eagerness to learn emerging tools and technologies. Proactive, ownership-driven approach, with the ability to improve systems end-to-end. Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.  Why Join Us Shape a first-of-its-kind AI + clean energy platform. Work with a small, mission-driven team obsessed with impact. An aggressive growth path. A chance to leave your mark at the intersection of AI, design, and sustainability.