Platform Engineer - Cloud Security Automation

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.