Lead DevOps Engineer

Role Summary As the Senior Lead Engineer DevOps, you will lead the charge in transforming the development and implementation of DevOps to a DevSecOps Best practices across our eCommerce platform, ensuring high availability, performance, and operational efficiency. You will work closely with cross-functional teams, including software development, operations, and IT, to streamline deployment pipelines, automate processes, and provide innovative solutions that support business growth. Build, maintain, and scale continuous integration and delivery pipelines using Jenkins, Git, and other automation tools. • Implement and manage containerized applications using Docker and Kubernetes. • Automate infrastructure provisioning and management using Terraform, Ansible, and other Infrastructure as Code (IaC) tools. • Deploy, manage, and monitor cloud environments in Azure and Google Cloud. • Collaborate with development teams to streamline the development process and reduce deployment time. • Troubleshoot production and development issues in cloud environments and ensure system uptime and reliability. • Write and maintain scripts in Groovy, Perl, Shell, and other scripting languages to automate tasks. • Ensure system monitoring, alerting, and logging solutions are in place and are functioning effectively. • Contribute to the improvement of DevOps practices and tools, staying updated on industry best practices and trends. • Stay current with emerging technologies and trends in performance engineering to provide technical guidance and leadership. Mentor junior engineers and share best practices related to DevOps automation tooling and observability What You Bring to the Table: • Exposure to Ansible, Terraform, Packer for automation and infrastructure management. • Familiarity with Helm, FluxCD, ArgoCD, or similar Kubernetes management tools. • Experience with Kustomize for Kubernetes configurations. • Proficiency in Azure DevOps, particularly Azure Pipelines for automating workflows. • Knowledge of monitoring tools like Prometheus, Grafana, New Relic, and similar platforms. • Interest or experience with AI technologies to automate system management and optimizations. Requirements Description Minimum of 9 years of experience in DevOps, Site Reliability Engineering (SRE), or related field. Expertise in cloud infrastructure and modern DevOps practices. Expertise in transitioning from DevOps practices to DevSecOps Best practices Proven track record of working in agile development teams. Strong problem-solving skills with the ability to address complex build & deployment issues. Excellent communication skills to interact with cross-functional teams. Qualifications Extensive experience with cloud platforms such as AWS, GCP, or Azure. Proven track record of successfully managing large-scale eCommerce platforms and infrastructure. Strong background in CI/CD pipeline creation and management (Jenkins, GitLab, etc.). Experience with infrastructure automation tools (Terraform, Ansible, Puppet, etc.). Technical Skills: Strong knowledge of containerization technologies (Docker, Kubernetes). Experience with monitoring and logging tools (Splunk and New Relic). Proficient in scripting languages such as Python, Bash, or PowerShell. Familiarity with database management (MySQL, PostgreSQL, NoSQL, etc.). Leadership & Soft Skills: Excellent strategic leadership skills to define the transformational path for DevSecOps Strong leadership and team management skills with a focus on mentoring and career development. Excellent communication and collaboration skills to work with cross-functional teams. Ability to manage multiple priorities, deadlines, and stakeholders effectively. Excellent leadership and team management abilities. Strong communication and interpersonal skills. Comprehensive understanding of modern DevOps tools, practices, and methodologies. Analytical and problem-solving abilities. Ability to translate complex technical concepts into understandable terms for non-technical stakeholders. Resilience and adaptability in fast-paced environments. Preferred Qualifications Experience with microservices architecture and serverless computing. Knowledge of Agile/Scrum methodologies. Certifications in DevOps or cloud platforms (AWS Certified DevOps Engineer, Azure DevOps, etc.) are a plus. Exposure to Ansible, Terraform, Packer for automation and infrastructure management. • Familiarity with Helm, FluxCD, ArgoCD, or similar Kubernetes management tools. • Experience with Kustomize for Kubernetes configurations. • Proficiency in Azure DevOps, particularly Azure Pipelines for automating workflows. • Knowledge of monitoring tools like Prometheus, Grafana, New Relic, and similar platforms. • Interest or experience with AI technologies to automate system management and optimizations.