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Platform Engineer - Cloud Security Automation at GuidePoint Security. Location Information: USA. GuidePoint is seeking a Platform Engineer to join our Cloud Security Automation Team, focusing on building scalable, secure platforms and data infrastructure for multiple client-facing solutions. This role combines platform engineering expertise with full-stack development to architect and implement robust automation systems, security analytics platforms, and custom solutions that serve our team's diverse client portfolio and internal operational needs. Roles and Responsibilities:. Multi-Client Platform Development. Design and build scalable, secure platform architectures that support various client solutions, including our flagship SaaS Security Intelligence Platform and other custom automation tools.. Infrastructure as Code. Implement and maintain cloud infrastructure using Terraform, AWS CloudFormation, and other IaC tools to ensure consistent, reproducible deployments across multiple client environments.. Microservices Architecture. Develop containerized microservices using Docker and orchestration platforms, ensuring high availability, scalability, and fault tolerance across client platforms.. API Development & Integration. Build robust RESTful APIs and integrate with third-party security tools, cloud services, and client-specific systems to enable seamless data flow and automation workflows.. Platform Security. Implement security best practices throughout the platform stack, including authentication, authorization, encryption, and compliance requirements for multi-tenant environments.. Data Pipeline Architecture. Design and maintain scalable ETL/ELT pipelines that process diverse data sources including security logs, cloud metrics, automation workflows, and client-specific datasets.. Real-Time Processing. Implement stream processing solutions using AWS Kinesis, Apache Kafka, or similar technologies to handle high-volume, real-time data ingestion and processing.. Database Design & Optimization. Architect and optimize database schemas across PostgreSQL, MongoDB, and other data stores to support complex queries and analytics workloads.. Backend Services: Develop high-performance backend services to support platform functionality and client-specific requirements.. Frontend Integration. Build responsive web interfaces when needed to support platform administration, monitoring dashboards, and client portals.. Cloud Platform Expertise. 3+ years of hands-on experience with AWS services (EC2, Lambda, S3, RDS, EKS, etc.) and cloud-native architecture patterns. Programming Proficiency. Strong experience with Python, JavaScript/TypeScript, and at least one additional language; experience with frameworks like Django, FastAPI, React, or Node.js. Infrastructure & DevOps. Proven experience with Infrastructure as Code (Terraform, CloudFormation), containerization (Docker, Kubernetes), and CI/CD pipelines. Database Management. Experience with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases, including schema design and query optimization. API Development. Strong background in building and consuming RESTful APIs, with understanding of authentication, rate limiting, and API security best practices. Requirements:. Hands-on experience with AI tools, infrastructure-as-code, CI/CD pipeline management, and cloud IaaS/PaaS implementation.. Strong skills in documentation, structured writing, and process mapping.. Comfortable working across technical and non-technical teams.. Familiarity with cloud platforms (AWS, Azure, or GCP) and/or security services is a plus.. Ability to work independently and collaboratively with technical teams.