DevOps/Cloud Engineer - Peyton Resource Group

Title: Senior DevOps/Cloud Engineer

Location: Houston, TX | Onsite (hybrid potential after first few months)

Compensation: Negotiable

 

Technical Requirements:

• Strong Azure experience is required
• Strong DevOps –Infrastructure and CI/CD
• Strong skills with Azure Cloud Technologies, Azure based services, Cloud Patterns
• Containerization and Orchestration technologies –Docker, Swarm, K8 experience
• Cloud Native Software Development
• Some IoT exposure –preferred 
• Real-time Databases, SQL, NoSQL, Angular (some experience/understanding)
• General understanding of AI/ML preferred
• Agile
• Bachelors in Computer Science;Masters is preferred
• Must have experience/be able to work with mixed teams (on and off-shore);different time zones
• Fog computing experience, a plus
• Consulting related experience a plus (exposure to different technologies/environments)

 

Educational and Other Requirements:

• Bachelor’s degree in computer science or related field;Master’s degree is highly preferred
• 5+ years as a Senior Cloud/DevOps Engineer with strong Azure, CI/CD, Infrastructure skills & experience
• Deep background in Applications and Infrastructure in Cloud Compute workloads in Azure
• Experience and familiarity with a modern Agile / DevOps development process, including continuous integration and deployment, tracking of project metrics, unifying development and operations, etc.
• Understanding of client / server and distributed system / cloud architecture patterns
• Experience with cloud storage, such as Azure Storage or equivalent
• Experience in architecting and designing container frameworks used to run microservices or data processing workloads with Docker
• Experience with data stores and databases (including performance tuning), such as SQL Server, Azure Cosmos, MySQL, Hadoop, DynamoDB, Redis, MongoDB, or Cassandra
• Expertise in software architecture design, distributed systems, microservice architectures, and data distribution strategies
• Experience with data analytics tools
• Sound understanding and firsthand experience architecting edge and IoT solutions.

 

Additional Valued Experience:

• Experience supporting solution development for large-scale, web-based, cloud native software system applications
• Experience developing full application stacks
• Experience in developing software systems, which employ data mining, machine learning, or statistical techniques, methods and algorithms
• Experience deploying cloud solutions into hybrid environments, including architecting services for simultaneous cloud and on-premise deployment
• Coordination of geographically distributed teams