DevOps Engineer

About The Company: At ReKnew, our mission is to empower enterprises to revitalize their core business and organization by positioning themselves for the new world of AI. We're a startup founded by seasoned practitioners, supported by expert advisors, and built on decades of experience in enterprise technology, data, analytics, AI, digital, and automation across diverse industries. We're actively seeking top talent to join us in this mission. What You'll Do: As a DevOps Engineer, you will focus on building and maintaining robust, scalable, and secure continuous delivery platforms. This hands-on role involves designing and implementing infrastructure and application solutions across hybrid cloud environments, with a strong emphasis on automation, reliability, and continuous improvement. You will contribute to the deployment and operational excellence of critical applications, including those within the big data and AI/ML ecosystems. Key Responsibilities: Design, implement, and manage CI/CD pipelines for automated code deployments. Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform and CloudFormation. Administer and optimize container orchestration platforms, primarily Kubernetes and EKS. Develop automation scripts and tools using Python. Implement comprehensive monitoring, logging, and alerting solutions for application and infrastructure health. Ensure security best practices are integrated throughout the development and deployment lifecycle. Support and optimize environments for big data and AI/ML workloads, including Airflow. Qualifications: Solid experience with Kubernetes and EKS. Minimum of 4+ years of professional experience in a DevOps role. Proficiency in Docker and containerization best practices. Hands-on experience with IaC tools (Terraform, CloudFormation). Strong programming skills in Python for automation. Demonstrated experience in implementing robust monitoring, alerting, and logging solutions. Familiarity with CI/CD principles and tools for code deployments. Understanding of security principles in cloud environments. Experience with or knowledge of the big data ecosystem and AI/ML infrastructure. Experience with workflow orchestration tools, specifically Airflow. Exposure to or understanding of all three major cloud platforms (AWS, Azure, GCP). Who You Are: A passionate problem-solver with a strong bias for automation. Committed to building reliable, scalable, and secure systems. An excellent communicator with a collaborative mindset. Proactive in identifying and resolving operational challenges. Show more Show less