R Systems
Jr Cloud Engineer (Azure) - Denver, CO (In-Person interview required)
R Systems, Denver, Colorado, United States, 80285
Jr Cloud Engineer (Azure) - Denver, CO
Join to apply for the
Jr Cloud Engineer (Azure) - Denver, CO (In-Person interview required)
role at
R Systems .
About R Systems: R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We are a certified Great Place to Work in 10 countries and have been recognized as a Best Tech Brand 2024 by the Times Group and India’s Top 500 Value Creators 2023 by Dun & Bradstreet.
Job Details Experience:
1-4 years.
Responsibilities
Design, implement, and manage scalable cloud infrastructures in Azure to support AI model deployments, ensuring high availability and reliability.
Collaborate with the AI Engineering team to streamline the deployment of machine learning models, optimizing the use of cloud resources for performance and cost-efficiency.
Develop and enforce security best practices for Azure resources, including identity and access management, data protection, and compliance monitoring.
Troubleshoot and resolve issues related to cloud infrastructure and model deployments, ensuring minimal downtime and efficient problem resolution.
Skills And Knowledge
Knowledge of enterprise cloud solutions, deploying and running solutions in a cloud environment, and private, public, and hybrid clouds.
Extensive experience with Internet technologies and protocols like TCP/IP, VPN, SSL and HTTP.
Hands‑on experience with public and private cloud services (Azure, AWS, Openstack, VMWare, etc.) as well as load balancers and networking devices.
Experience designing high availability and disaster recovery / fail‑over infrastructures.
Development experience with database or application integration technology.
Deep knowledge of Linux fundamentals.
Knowledge of open‑source architectures and/or past contributions to open‑source projects.
Design, development and operations experience with highly available, scalable, and fault tolerant systems.
Experience with Data Science project lifecycle (Azure ML Studio, AI Foundry, Key Vault, Fabric, Storage Account, Language Studio, EventHub, Azure Functions, App Service, Logic Apps, API Management, Microsoft Purview, Azure Cosmos DB, Azure Kubernetes Services (AKS), Azure Container Apps, Azure Container Instances (ACI), Managed Endpoints, Private Endpoint, Virtual Network).
Experience with agile/scrum methodologies.
Professional Cloud Solutions Architect (PCSA) Certification.
2+ years of experience.
Why Join R Systems?
Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes.
Cultural Celebrations: Strengthen our familial bonds through shared celebrations.
Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail.
Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities.
E-Learning Platform: Gain access to comprehensive e-learning platforms and mentorship.
Open Door Policy: Embrace a culture of mutual support and open dialogue.
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve and actively encourage applications from individuals of all backgrounds. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
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Jr Cloud Engineer (Azure) - Denver, CO (In-Person interview required)
role at
R Systems .
About R Systems: R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We are a certified Great Place to Work in 10 countries and have been recognized as a Best Tech Brand 2024 by the Times Group and India’s Top 500 Value Creators 2023 by Dun & Bradstreet.
Job Details Experience:
1-4 years.
Responsibilities
Design, implement, and manage scalable cloud infrastructures in Azure to support AI model deployments, ensuring high availability and reliability.
Collaborate with the AI Engineering team to streamline the deployment of machine learning models, optimizing the use of cloud resources for performance and cost-efficiency.
Develop and enforce security best practices for Azure resources, including identity and access management, data protection, and compliance monitoring.
Troubleshoot and resolve issues related to cloud infrastructure and model deployments, ensuring minimal downtime and efficient problem resolution.
Skills And Knowledge
Knowledge of enterprise cloud solutions, deploying and running solutions in a cloud environment, and private, public, and hybrid clouds.
Extensive experience with Internet technologies and protocols like TCP/IP, VPN, SSL and HTTP.
Hands‑on experience with public and private cloud services (Azure, AWS, Openstack, VMWare, etc.) as well as load balancers and networking devices.
Experience designing high availability and disaster recovery / fail‑over infrastructures.
Development experience with database or application integration technology.
Deep knowledge of Linux fundamentals.
Knowledge of open‑source architectures and/or past contributions to open‑source projects.
Design, development and operations experience with highly available, scalable, and fault tolerant systems.
Experience with Data Science project lifecycle (Azure ML Studio, AI Foundry, Key Vault, Fabric, Storage Account, Language Studio, EventHub, Azure Functions, App Service, Logic Apps, API Management, Microsoft Purview, Azure Cosmos DB, Azure Kubernetes Services (AKS), Azure Container Apps, Azure Container Instances (ACI), Managed Endpoints, Private Endpoint, Virtual Network).
Experience with agile/scrum methodologies.
Professional Cloud Solutions Architect (PCSA) Certification.
2+ years of experience.
Why Join R Systems?
Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes.
Cultural Celebrations: Strengthen our familial bonds through shared celebrations.
Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail.
Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities.
E-Learning Platform: Gain access to comprehensive e-learning platforms and mentorship.
Open Door Policy: Embrace a culture of mutual support and open dialogue.
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve and actively encourage applications from individuals of all backgrounds. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
#J-18808-Ljbffr