Lytx - Senior DevOps Engineer - CI/CD Pipeline

: Youll Get To : - Evaluate and oversee the implementation of innovative technologies aimed at improving the efficiency, performance, and reliability of the Lytx Infrastructure. - Engage with innovative technologies such as Kubernetes, MQTT, and Kafka. - Implement new systems and frameworks to bolster a global IoT platform and elevate it to the next level. - Develop and deliver innovative solutions that empower engineering teams. - Develop and implement MLOps practices to improve the speed, efficiency, and quality of our AI/ML deployments. - Design Data/Machine Learning pipelines to transform Data/Machine Learning features. - Propel and execute enhancements in capacity, reliability, availability, monitoring, and performance of core and supporting systems. - Fulfill other assigned duties. What You Need : - A bachelor's/masters degree with a technical major or equivalent experience. - 4+ years of experience in designing, building, and supporting Infrastructure Architecture, CI/CD, and production operations within a hybrid On-Premises/Cloud environment. - Expertise in DevOps principles, practices, and technologies, including GitOps, Amazon Web Services (AWS), and Terraform, or other Infrastructure as Code (IaC) tools. - Proficiency in building CI/CD pipelines, with preference given to experience with GitHub and ArgoCD. - Proficiency in managing Kubernetes and various container and cloud-native technologies. - Proven experience in security best practices, including identity and access management, encryption, and vulnerability assessments. - Strong knowledge of containerization technologies such as OpenShift, Kubernetes, and Docker. - Expertise in scripting/automation using tools like PowerShell, BASH, Python, Perl, Ansible, and Terraform. - Provide coaching, mentoring, and training for new or less experienced team members. - Knowledge of Systems Administration/System Engineering with Microsoft Windows/Linux. - Familiarity with networking concepts such as routing, load balancing, DNS, content delivery, and domain trusts. - Excellent documentation and interpersonal skills, with the ability to present technical content to management and engineering teams. - Hands-on experience with AWS compute and storage services including EKS, ECS, Lambda, EC2, MSK, AMIs, Redshift, Kinesis, RDS, DynamoDB, ElastiCache, S3, and Glacier. - Collaborate with engineering teams to enhance their productivity, ensure they operate on reliable and scalable systems, and advocate for best practices, including GitOps principles. Preferred : - AWS Advanced and Specialty level Certifications. - Experience with ML and Data platforms, including developing and implementing MLOps practices and designing Data/Machine Learning pipelines. - Experience in managing middleware systems - Service Mesh, API Gateway, Kafka, and MQTT.