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# Platform Engineer

- **Company:** Cox Inc
- **Location:** United States
- **Experience:** Expert
- **Salary:** $101,500.0 - $169,100.0
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Private Networks, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Automation of Tests, Unit Testing, Microsoft Azure, Configuration Management, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Validation, Data Governance, DevOps, Programming Tools, Device Drivers, Distributed Systems, Fault Tolerance, Github, JSON, Python (Programming Language), PostgreSQL, Load Testing, Microsoft Software, Microsoft SQL Server, Multiprocessing, OpenID, Oracle Databases, Oracle (Applications), Open Web Application Security, Performance Tuning, Query Optimization, Role-Based Access Control, Redis, Azure Active Directory, Prometheus, Runbook, Secure Coding, Session Management, Microsoft SharePoint, Data Logging, Diagnostic Tools, Scripting, Transport Layer Security, Enterprise Software Applications, Amazon ElastiCache, Large Language Models, Snowflake, Grafana, Concurrency, Database Optimization, Caching, Amazon Virtual Private Cloud (VPC), Rate Limiting, Git, Fastapi, Infrastructure Automation Frameworks, Deployment Automation, AWS Fargate, Graphql, Route53, Virtual Agents, Cloudwatch, Restful APIs, Terraform, Software Version Control, Dynatrace, Docker, Servicenow, Oracledb
- **Published:** August 17, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-platform-engineer-stone-mountain-ga--c0c25d90-53f7-4ee5-be76-65045141c3c8

## About the Role

* Bachelor's degree in a related discipline and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field
 * Python development (4+ years) with advanced async/await patterns, FastAPI, multiprocessing, and production performance optimization
 * Model Context Protocol (MCP) - hands-on implementation experience with MCP servers, tool definitions, and client integration patterns; ability to read and extend the protocol specification independently
 * AWS platform depth: ECS Fargate task lifecycle management, ElastiCache Redis (TLS, clustering, eviction policies), Secrets Manager, Route 53, ALB (sticky sessions, TLS termination), ECR, Aurora Postgres, SSM Parameter Store, CloudWatch, Kinesis Firehose
 * Microsoft Entra ID / Azure AD integration: OIDC federation, group membership extraction via Graph API or JWT claims, RBAC pattern implementation
 * Database integration and optimization: Oracle, PostgreSQL, Snowflake, SQL Server - including connection pooling, query optimization, and schema introspection
 * Distributed systems patterns: circuit breakers, retry with exponential backoff, bulkhead isolation, Redis-backed distributed state, graceful degradation
 * Container platform: Docker multi-stage builds, ECS task definitions, non-root container security, health endpoint implementation
 * REST API security: JWT validation, rate limiting, input validation, PII detection and masking
 * Observability: structured JSON logging, Prometheus client instrumentation, distributed tracing concepts, CloudWatch Logs Insights
 * Version control and CI/CD (Git, GitHub Actions, automated testing pipelines)
 * Availability for rotational on-call duties outside of standard business hours may be required

Preferred Experience

 * High-concurrency MCP server development with proven experience supporting enterprise-scale concurrent sessions
 * Snowflake advanced optimization: warehouse sizing, query profiling, result caching, role-based access patterns
 * Infrastructure-as-code with Terraform for AWS resource provisioning
 * On-demand infrastructure provisioning: ephemeral container lifecycle, VPC-internal networking, dynamic credential injection
 * Redis advanced patterns: sliding window rate limiting, distributed quota enforcement, pub/sub for session events
 * Enterprise compliance: audit logging design, data governance patterns, OWASP Top 10 remediation
 * Experience working with AI/LLM platforms, agentic frameworks, or AI developer tooling
 * Familiarity with the MCP ecosystem: Anthropic Claude integration, MCP client patterns in Claude.ai, Claude Code, or Copilot Studio
 * Security best practices including OWASP guidelines and secure coding practices
 * DevOps experience including infrastructure automation and deployment strategies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Automotive Engineering, Best Practices, Caching, Circuit Breakers, Concurrency, Configuration Management, Continuous Deployment/Delivery, Continuous Integration, Database Optimization, DevOps, Device Drivers, Distributed Computing, Docker, Documentation, Ecosystems, Endpoint Security, Enterprise Applications, Enterprise Computing, Git, GitHub, Identify Issues, Injections, Instrumentation, JSON, Load Testing, MCP - Microsoft Certified Professional, Metrics, Microsoft Product Family, Microsoft SQL Server, Microsoft SharePoint, Microsoft Windows Azure, Oracle, Oracle Database, Performance Tuning/Optimization, PostgreSQL, Production Support, Programming Tools, Python Programming/Scripting Language, Query Optimization, REST (Representational State Transfer), Redis, Reporting Dashboards, SSL-TLS (Secure Socket Layer - Transport Layer Security),
Secure Coding, Server Programming/Applications, ServiceNow, Source Code/Configuration Management (SCM), Test Automation, Traffic Shaping, Unit Test, Warehousing

## Description

* Design, implement, and optimize the central AI Gateway MCP server - the single governed endpoint through which all AI client connections route, built on FastAPI + uvicorn for high-concurrency enterprise workloads
 * Build and maintain the Redis ElastiCache session layer that binds Microsoft Entra identity to role-resolved MCP tool sets, including token lifecycle management, sliding TTL extension, per-user quota enforcement, and distributed rate limiting
 * Implement the on-demand connector provisioning engine - a system that provisions compute containers with enterprise client drivers, establishes VPC-internal network paths, and retrieves credentials from AWS Secrets Manager automatically when a user's AI agent declares intent to access a data source
 * Build enterprise system connectors as MCP tool sets: Oracle DB, SharePoint Graph API, Rally, ServiceNow, and a vendor connector approval pipeline with ECR container image scanning and an Aurora-backed connector registry
 * Implement comprehensive automated testing: unit, integration, load testing (1,000+ concurrent users), and chaos testing for connector fault tolerance
 * Build and maintain the full observability stack: structured logging, Prometheus metrics, Kinesis Firehose OpenSearch indexing, and Grafana dashboards for per-user, per-tool, per-session audit trails
 * Design and implement CI/CD pipelines for all platform components via GitHub Actions, with automated container image builds, ECS task definition updates, and blue/green deployments
 * Own security controls: Entra OIDC token validation, PII masking on all tool responses, WAF rule management, Secrets Manager integration with autorotation, and OWASP-aligned secure API design
 * Maintain and extend the existing Snowflake MCP codebase that forms the foundation of the platform, including session management, RBAC, PII masking, configuration management, and secrets integration modules
 * Develop troubleshooting and diagnostic tools for production support
 * Create documentation, runbooks, and operational playbooks for platform support and maintenance


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