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 bachelors/masters degree with a technical major or equivalent experience.
- 9 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.
Innovation Lives Here
Together we help save lives on our roadways.
Find out how good it feels to be a part of an inclusive collaborative team. Were committed to delivering an environment where everyone feels valued included and supported to do their best work and share their voices.
Lytx Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. Were committed to attracting retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.
Required Experience:
Staff IC
Job DescriptionYoull 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 bolste...
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 bachelors/masters degree with a technical major or equivalent experience.
- 9 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.
Innovation Lives Here
Together we help save lives on our roadways.
Find out how good it feels to be a part of an inclusive collaborative team. Were committed to delivering an environment where everyone feels valued included and supported to do their best work and share their voices.
Lytx Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. Were committed to attracting retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.
Required Experience:
Staff IC
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