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Securonix

Cloud-based SIEM with ML-driven threat detection

Principal DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 12 years of experience in the IT field, focused on DevOps practices and principles.
  • At least 5 years of in-depth experience with Python, Ansible, Jenkins, Docker, Kubernetes, Helm charts, and Octopus Deploy, including system architecture and design in a DevOps context.
  • Expertise in Python and extensive experience using Ansible and Jenkins for continuous integration and continuous delivery (CI/CD) pipelines.
  • High proficiency in Docker and Kubernetes for container orchestration, Helm chart management, and Octopus Deploy.
  • Ability to design and implement complex CI/CD pipelines and automate deployment processes.
  • In-depth knowledge of AWS, Azure, or Google Cloud Platform for cloud infrastructure management.
  • Advanced skills in CI/CD pipeline optimization and expertise in observability tools such as Grafana, Prometheus, and ELK stack.
  • A bachelor's or master's degree in Computer Science, Applied Mathematics, or a related field, or equivalent practical experience.
  • Extensive experience designing, building, and managing release and deployment pipelines using Python, Ansible, Jenkins, Docker, Kubernetes, Helm charts, and Octopus Deploy.
  • Ability to architect and manage complex CI/CD environments and integrate DevOps tools and practices.
  • Advanced knowledge of Linux system administration, TCP/IP networking, and cloud services such as AWS, Azure, or Google Cloud Platform.
  • Expertise in scripting languages, particularly Python.
  • Deep understanding of configuration management tools, particularly Ansible.
  • Experience with log collection and analysis tools such as Splunk and ELK stack.
  • Mastery of container orchestration technologies, especially Docker and Kubernetes, and package management with Helm.
  • Background in software development, preferably with Python and containerized environments, and understanding of architectural patterns and challenges in a DevOps context.

Responsibilities

  • Lead a DevOps team to architect, develop, and maintain release and deployment automation pipelines using Python, Ansible, Jenkins, Docker, Kubernetes, Helm charts, and Octopus Deploy.
  • Architect and implement robust, scalable, and efficient CI/CD pipelines to meet the needs of multiple development teams.
  • Design and oversee deployment strategies for containerized applications using Docker, Kubernetes, and Helm, ensuring scalability, reliability, and security.
  • Integrate cloud services and infrastructure as code principles into deployment processes using AWS, Azure, or Google Cloud Platform.
  • Conduct system and architecture reviews to identify and implement optimizations and enhancements.
  • Drive adoption of DevOps best practices, including continuous integration, continuous delivery, automation, and infrastructure as code.
  • Mentor junior DevOps engineers and foster continuous improvement and innovation.
  • Lead initiatives to incorporate observability and monitoring tools into the infrastructure to support high availability and performance.
  • Collaborate with cross-functional teams to align deployment strategies with business objectives and operational requirements.
  • Design and implement disaster recovery strategies and uphold security and compliance standards.

Desired Qualifications

  • Experience with Groovy scripting and Groovy shared libraries.

About the Company

Securonix

Cloud-based SIEM with ML-driven threat detection

Securonix is a cloud-based cybersecurity company that provides a Software as a Service (SaaS) Security Information and Event Management (SIEM) platform. It helps organizations gain security visibility across their systems and detect threats using machine learning and behavioral analytics, then respond to incidents. The product works by collecting and analyzing security data from clients in real time through a subscription service, offering automated alert handling, threat modeling verification, and compliance support. This cloud-first approach reduces the cost and complexity of traditional on-premises security solutions while scaling with the needs of large enterprises. Securonix differentiates itself by combining ML-driven threat detection with behavior-based analytics and built-in compliance features for industries like healthcare and insurance. Its goal is to provide accurate, scalable, and timely threat detection and response to protect data privacy and security for enterprises.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$1.1B
Headquarters
Plano, TX
Founded
2007

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