What are the responsibilities and job description for the Cloud Solutions Engineer(Mid-Level) position at R Systems?
Job Details
Position: Cloud Solutions Engineer
Location: South Denver, CO
Duration: Long Term
In person Interview Must
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 Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link
Job Requirement:
Produce architecture blueprints that guide the development and implementation of Cloud solutions across multiple products, providing direction to technical teams during project delivery and ensuring implementations support technology and product roadmaps. The Cloud Solutions Architect provides their expertise in the development and maintenance of architecture standards and solutions that align with strategic goals and partner with product managers, business analysts, designers, and software engineers to navigate solution decisions.
Responsibilities
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 we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Position: Cloud Solutions Engineer
Location: South Denver, CO
Duration: Long Term
In person Interview Must
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 Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link
Job Requirement:
Produce architecture blueprints that guide the development and implementation of Cloud solutions across multiple products, providing direction to technical teams during project delivery and ensuring implementations support technology and product roadmaps. The Cloud Solutions Architect provides their expertise in the development and maintenance of architecture standards and solutions that align with strategic goals and partner with product managers, business analysts, designers, and software engineers to navigate solution decisions.
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.
- 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, ect) 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.
- Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
- Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
- Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
- Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
- E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
- Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
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 we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rsystems
- Position Id: 8820193
