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
Facilitating Technical Closure For Sales Pipeline Leads Your primary responsibility is to ensure that all technical aspects of the sales process are effectively addressed, leading to the successful closure of sales deals. This involves conducting product demonstrations to showcase features like API discovery, security testing, and observability, ensuring that customers fully comprehend the value proposition. Additionally, you will be responding to technical queries and objections, such as integration challenges or performance concerns, to build trust with potential clients. Collaboration with the sales team is essential to tailor solutions according to customer needs, ensuring technical alignment with their existing infrastructure and goals. Ultimately, providing detailed technical proposals with a clear scope of work is crucial in this role. Complete Support During POV, Including Installation Assistance During POV engagements, you will offer comprehensive support to demonstrate the effectiveness of the product. This includes setting up and managing the POV environment, which may involve deploying the product using containerization tools like Docker and orchestration platforms like Kubernetes, as outlined in Levo's installation guide. Assisting with installations for prospects, ensuring correct configuration in their environment, troubleshooting technical issues during the POV, and aligning the POV with the prospect's success criteria are key aspects of this role. Your hands-on support is vital for proving the product's value, especially in technical domains like API security. Technological Expertise Required You should possess expertise and knowledge about Docker, Kubernetes, and other modern technologies. The Technical Presales Engineer must be proficient in modern DevOps and cloud environments, with a focus on the following technological requirements: - Docker and Kubernetes: Proficiency in deploying and demonstrating the product using Kubernetes (via Helm Charts) and Docker is essential for setting up POCs in customer environments. - Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP is necessary to align with customer infrastructures. - API Technologies and Security: Understanding of API technologies and security principles is crucial for API discovery and testing. - CI/CD and DevOps Practices: Knowledge of DevOps workflows is required to demonstrate integration capabilities effectively. These technologies are critical for you to provide effective support for installations and POV engagements, ensuring customers can evaluate the product in their specific environments. Qualifications And Skills To excel in this role, you must meet the following qualifications: - Educational Background: A bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field is required. - Experience: At least 3 years of experience in a technical presales, solutions engineering, or similar customer-facing role is preferred, preferably in the cybersecurity or API management space. Implementation Support for Post Sales / Existing Accounts (Customer Success / Support) You will be responsible for providing implementation support for newly closed accounts as well as existing customers when needed. Preferred Qualifications While not mandatory, the following qualifications can be beneficial: - Experience with eBPF or other advanced observability technologies. - Certifications in cybersecurity or cloud platforms. - Prior experience in API security or application security.,