University of Colorado

Lead Cloud Platform & Dev Ops Engineer

USARemotePosted Today

Full TimeSeniorRemoteUS

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Job Description

Lead Cloud Platform & Dev Ops Engineer – 40286 University Staff Description Join Our Team and Make a Difference in Higher Education! At the System Administration office at the University of Colorado,

Key Highlights

Design, implement, and maintain cloud platform architecture, including security, identity, networking, and policy controls aligned with institutional standards
Design, implement, and maintain CI/CD pipelines and release processes, including build, testing, security, and deployment workflows across development and production environments
Support system integration across cloud and enterprise environments
Drive adoption of platform engineering practices, including containerization and automation
Contribute to automation and data-driven technologies, including support for machine learning and intelligent automation workloads

Qualifications

Required Qualifications

Master’s degree in Computer Science, Computer or Electrical Engineering, or related IT field plus three (3) years of progressively responsible professional experience as a Platform Engineer (or a similar position) supporting production systemsor
A Bachelor’s degree in Computer Science, Computer or Electrical Engineering, or related IT field plus five (5) years of progressively responsible experience as a Platform Engineer (or a similar position) supporting production systems
Professional experience must include:Three (3) years of experience in:programming languages such as Python and/or Java, including with machine learning frameworks;leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices;designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; andimplementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.)Two (2) years of experience in:artificial intelligence andenterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) andcollaboration with security or compliance stakeholders in support of technical controls
Three (3) years of experience in:programming languages such as Python and/or Java, including with machine learning frameworks;leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices;designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; andimplementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.)
programming languages such as Python and/or Java, including with machine learning frameworks;
leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices;
designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; and
implementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.)
Two (2) years of experience in:artificial intelligence andenterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) andcollaboration with security or compliance stakeholders in support of technical controls
artificial intelligence and
enterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) and
collaboration with security or compliance stakeholders in support of technical controls
Master’s degree in Computer Science, Computer or Electrical Engineering, or related IT field plus three (3) years of progressively responsible professional experience as a Platform Engineer (or a similar position) supporting production systemsor
A Bachelor’s degree in Computer Science, Computer or Electrical Engineering, or related IT field plus five (5) years of progressively responsible experience as a Platform Engineer (or a similar position) supporting production systems
Professional experience must include:Three (3) years of experience in:programming languages such as Python and/or Java, including with machine learning frameworks;leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices;designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; andimplementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.)Two (2) years of experience in:artificial intelligence andenterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) andcollaboration with security or compliance stakeholders in support of technical controls
Three (3) years of experience in:programming languages such as Python and/or Java, including with machine learning frameworks;leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices;designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; andimplementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.)
programming languages such as Python and/or Java, including with machine learning frameworks;
leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices;
designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; and
implementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.)
Two (2) years of experience in:artificial intelligence andenterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) andcollaboration with security or compliance stakeholders in support of technical controls
artificial intelligence and
enterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) and
collaboration with security or compliance stakeholders in support of technical controls

Skills & Technologies

CI/CDMachine LearningPythonJavaAWSKafkaRabbitMQ

About the Company

University of Colorado

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

USA

Work Mode

Remote

Posted

Today

Country