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Azure Cloud DevOps Engineer

Job Title
Azure Cloud DevOps Engineer
Job ID
27587112
Location
UNITED STATES, 
Other Location
Remote
Description

Summary

Forward Edge-AI, Inc.’s mission is to leverage Artificial Intelligence (AI) for the benefit of humanity. Inspired by people who believe AI can and should be a transformative force for good. Leveraging emerging technology including Machine Learning (ML)/AI, Blockchain/Distributed Ledger Technology (DLT), Robotic Process Automation, and game engine development to solve complex problems of social consequence. 

The ML/AI Engineer will assist our team in the development of our core products. Must have experience with machine learning and natural language processing. Must have a strong and consistent work ethic, intellectual curiosity, ambition, and a desire to collaborate and work on a team. 

Essential Duties, Skills, and Responsibilities 

· Proven experience in supporting cloud solutions across PaaS and IaaS platforms for cloud services, AKS services using SQL, ASB, CosmosDB, Redis Cache, App Insights, Log analytic

· Proven experience in coaching and mentoring junior and offshore team members.

· Proven experience with Agile practices, methodologies (Sprint planning, Daily Scrums, Backlog grooming, and updating ADO artifacts to ensure work is tracked appropriately) and Atlassian Products (Jira, Confluence, Service Desk).

· Strong conceptualization abilities, detailed oriented, critical/analytical thinking & troubleshooting skills with the ability to work independently and deliver consistent results to difficult problems.

· Strong team player with a desire to learn by collaborating with peers and other DevOps teams.

· Effective organization and communication skills, both written and verbal to the extent of communicating technical issues to non-technical stakeholders eloquently

Competencies 

· Azure Virtual Machines – used for Infrastructure as a Service (Iaas) for services that require specific compute and/or memory configurations that are not easily available in serverless resources like App Services or Function Apps

· Azure App Services – used to deploy OpenAPI services that need to be available and highly responsive at all times

· Azure Function Apps – used to deploy OpenAPI and time-triggered services that are available or run on an as-needed basis

· Azure SQL Instances – used for relational database storage and retrieval

· Azure Cosmos DB – used for semi-structured and unstructured data storage and retrieval

· Elastic Cloud (Elasticsearch Managed Service) – used to store logs, highly searchable unstructured data and catalog data

· Application Insights – used for logging, debug tracing and monitoring

· Azure Databricks Service – used for development, training and collaboration on Machine Learning models

· Azure Cognitive Services – used for development and production Machine Learning models

· Azure Kubernetes Service – used for containerization of Micro-Services

· Azure Container Registry – used to store custom container images

· Azure Key Vault – used to store secrets and keys.

· Azure Container Instances – used for individual containers housing Micro-Services

· Azure Data Catalog – used to catalog and describe data stored in various Azure resources

· Azure Data Factory (v2) – used for Extract-Transform-Load (ETL) operations on data and scheduling

· Azure Machine Learning – used for Machine Learning models

· Azure Media Service – used to store, encode and stream media

· Azure Video Indexer – used to moderate media for inappropriate content and provide extensive metadata about the media

· Azure Active Directory – used for managing users, service principals, and app registrations for Role Based Access Control (RBAC) and O Auth2 access security.

· Azure Identity and Access Management – used for access to Azure and OAuth2 access security

· Azure Storage – used for resource storage

· Azure Data Lake Store – used for extended resource storage and common data access

· Azure Cognitive Search Service – used for searching that requires built-in AI capabilities

· Recover Services Vault – used for Disaster Backup and Recovery (DBAR)

Qualifications 

· Successful candidate(s) will pass a background check

· Successful candidate(s) will pass a coding challenge

· Successful pass chemistry test  

· Detail Oriented, organized, hardworking, dedicated, passionate, independent, self-starter, and very responsive

 Education and/or Experience 

BSc in Computer Science, Mathematics or similar field. The combination of work experience and training courses may be substituted in place of bachelor education and experience. Candidate must demonstrate a minimum of 5-year experience. Ability to write robust various code, and scripts (i.e., PowerShell, Python, JavaScript, Functions, etc.). Understanding of data structures, data modeling and software architecture for development of applications. Microsoft Certifications (Microsoft Azure preferred).

Reasoning Ability 

Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

 

Work Environment 

The position is remote

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