About Levo.ai Levo.ai is an advanced and automated API security platform designed to proactively discover, document, monitor, and mitigate security risks. By leveraging an in-depth automated offensive security testing approach, Levo ensures that vulnerabilities are identified and addressed before they can be exploited. Our platform is fully aligned with essential security practices endorsed by OWASP, as well as compliance frameworks such as PCI, GDPR, and HIPAA. Traditional security methods often rely on manual processes, which are not only costly and error-prone but also leave organizations exposed to significant security risks. Levo revolutionizes this process by providing comprehensive visibility and testing coverage, reducing both cost and complexity while eliminating false positives. Our seamless integration between development and security teams ensures that security does not become a bottleneck but rather an enabler of innovation. Founded in 2021 by Buchi Reddy, a former engineering leader at AppDynamics, Cisco, and D.E. Shaw, Levo is backed by a team with extensive enterprise security and engineering expertise. Our mission is to ensure that business growth, deployment deadlines, security, and compliance are not conflicting priorities but rather integrated seamlessly into the software development lifecycle. Job Overview Levo.ai is seeking an experienced and highly motivated DevOps Engineer to join our team in Hyderabad. This role is critical in managing cloud infrastructure, optimizing deployment processes, ensuring system reliability, and enhancing operational efficiency. The ideal candidate will have extensive hands-on experience in operating platforms at scale, platform engineer, cloud computing, automation, CI/CD pipelines, container orchestration, and monitoring tools. Key Responsibilities Cloud Infrastructure Management: Design, deploy, and manage highly available and secure cloud environments using Kubernetes in AWS, Azure, or Google Cloud. CI/CD Pipeline Development: Build and maintain automated deployment pipelines using GitHub, GitLab CI/CD, or similar tools to streamline software releases. Infrastructure as Code (IaC): Automate infrastructure provisioning and management using Terraform, CloudFormation, or Ansible. Containerization & Orchestration: Deploy, scale, and manage containerized applications using Docker and Kubernetes. Monitoring & Logging: Implement robust monitoring and logging solutions with Prometheus, Grafana, ELK stack, or Datadog to ensure system performance and security. Security & Compliance: Enforce cloud security best practices, including Identity and Access Management (IAM), Role-Based Access Control (RBAC), and compliance with regulatory frameworks. Automation & Scripting: Develop scripts in Python, Bash, or PowerShell to automate operational tasks and improve system efficiency. Troubleshooting & Incident Management: Identify, diagnose, and resolve infrastructure issues to ensure high availability and system reliability. Collaboration & Optimization: Work closely with software developers, AI/ML teams, and security engineers to optimize workflows and improve overall efficiency. Requirements & Qualifications Minimum of 2+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles. 2 years of experience in deploying and operating distributed systems in production at scale. Strong hands-on experience with AWS, Azure, or Google Cloud services. Proficiency in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or CircleCI. Deep understanding of Infrastructure as **Code (IaC) with Terraform, CloudFormation, or Ansible. Expertise in containerization (Docker) and orchestration (Kubernetes).** Strong experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack, or Datadog. Solid understanding of cloud security principles, including IAM, RBAC, and compliance frameworks. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation. Strong problem-solving skills with the ability to work in a** fast-paced, dynamic environment.** Excellent communication and collaboration skills to work effectively across teams. Preferred Qualifications Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or equivalent. Experience in AI/ML environments with MLOps best practices is a huge plus. Exposure to serverless computing and event-driven architectures. Prior experience working in early-stage startups or high-growth technology companies. What We Offer Competitive compensation and benefits package. Career growth opportunities in a rapidly expanding AI-driven company. A collaborative and innovative work culture that values autonomy and impact. The opportunity to work with cutting-edge technologies and solve real-world security challenges. If you are passionate about DevOps, cloud automation, and building secure, scalable infrastructure, we invite you to join us at Levo.ai and be part of a team that is redefining API security. Show more Show less