Cloud Platform Engineer @ Alpharetta, GA (Onsite Job)

Hello,

Hope you are doing well,

Title: Cloud Platform Engineer

Location: Alpharetta, GA

Duration: 12 Months

Rate: DOE

Job Description:

The ideal candidate will possess an overall 12+ years of deep expertise in designing, developing, and implementing end-to-end IT solutions using modern technology stacks. The candidate will play a pivotal role in analyzing business requirements, architecting robust solutions, and documenting best practices to ensure scalable, secure, and efficient technology implementations across the organization.

What you ll do in the role:

• Develop end-to-end IT solutions by integrating diverse technologies and platforms.
• Analyze business requirements and translate them into scalable architecture designs.
• Map and document end-to-end solution flows, identifying gaps and optimization opportunities.
• Define and document best practices, standards, and guidelines for technology adoption, implementation, and maintenance.
• Collaborate with cross-functional teams including development, operations, and business stakeholders.
• Lead architectural reviews, risk assessments, and impact analyses for new and existing solutions.
• Ensure solutions adhere to security, compliance, and performance standards.
• Stay updated on industry trends and emerging technologies to drive innovation.

What you ll bring to the role:

• 7+ years experience designing and deploying solutions using Kubernetes for container orchestration and microservices.
• Hands-on expertise with event streaming and messaging
• Proficiency in designing and managing API gateways, Service Mesh
• Strong background in system integration, public cloud architectures, and DevOps practices.
• Experience in public cloud in AWS or Azure implementations.
• Familiarity with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
• Ability to create comprehensive architectural documentation, diagrams, and best practice guides.
• Experience with cloud and hybrid architectures.
• Working knowledge of security best practices for distributed systems.
• Understanding of Batch and Micro batch patterns
• Experience in ETL / ELT
• Exposure to EDW / Database / OLTP, SQL / NoSQL

Desired Skills:

• Apigee
• Kafka
• Snowflake
• Data Bricks
• Spark
• Redis
• AI/ML
• Professional certifications related to architecture, Kubernetes or cloud platforms are a plus.