Staff Engineer - Senior MCP Server Developer & Platform Engineer

16 Hours ago • All levels

Software Development & Engineering

Job Description

This role involves implementing and optimizing MCP server endpoints and business logic for high-concurrency workloads, supporting 1000+ users. Key responsibilities include building robust enterprise system connectors, developing performance optimization strategies, and creating comprehensive automated testing frameworks. The engineer will also implement monitoring and observability for MCP servers, design data pipeline optimization, build deployment automation, and implement security controls. Additionally, the role requires developing troubleshooting tools and creating documentation for operations and maintenance.

Good To Have:

High-concurrency system development with proven experience supporting 1000+ concurrent users.
Snowflake optimization and advanced SQL performance tuning.
Container deployment (Docker, Kubernetes) and cloud-native development.
Distributed systems patterns (circuit breakers, retries, bulkhead isolation).
Security best practices including OWASP guidelines and secure coding practices.
DevOps experience including infrastructure automation and deployment strategies.
Message queuing systems (Redis, RabbitMQ, Kafka) for asynchronous processing.
Enterprise compliance experience (audit logging, data governance).

Must Have:

Implement and optimize MCP server endpoints for high-concurrency workloads.
Build enterprise system connectors with robust error handling.
Develop performance optimization strategies including connection pooling, caching, and async processing.
Create comprehensive automated testing frameworks (unit, integration, load, chaos).
Implement monitoring and observability for MCP servers (metrics, logging, tracing).
Design and implement data pipeline optimization for Snowflake and other enterprise data sources.
Build deployment automation and CI/CD pipelines for server components.
Implement security controls including data encryption, secure API design, and vulnerability management.
Python development (5+ years) with advanced async/await patterns and performance optimization.
REST API development with enterprise-grade error handling and security.
Database integration and optimization (PostgreSQL, MySQL, Oracle, SQL Server).
Performance engineering including profiling, optimization, and load testing.
Version control and CI/CD (Git, Jenkins/GitHub Actions, automated testing).

Add these skills to join the top 1% applicants for this job

problem-solving

oracle

-sap

github

game-texts

automated-testing

load-testing

salesforce

postgresql

mysql

rabbitmq

xml

protocol-buffers

json

redis

ci-cd

docker

kubernetes

git

python

sql

github-actions

jenkins

Job Description

Implement and optimize MCP server endpoints and business logic for high-concurrency workloads (1000+ users)
Build enterprise system connectors with robust error handling, retry mechanisms, and circuit breakers
Develop performance optimization strategies including connection pooling, caching, and async processing
Create comprehensive automated testing frameworks including unit, integration, load, and chaos testing
Implement monitoring and observability for MCP servers including metrics, logging, and distributed tracing
Design and implement data pipeline optimization for Snowflake and other enterprise data sources
Build deployment automation and CI/CD pipelines for MCP server components
Implement security controls including data encryption, secure API design, and vulnerability management
Develop troubleshooting and diagnostic tools for production support
Create documentation and runbooks for operations and maintenance

Qualifications

Required Skills

Python development (5+ years) with advanced async/await patterns, multiprocessing, and performance optimization
REST API development with enterprise-grade error handling, rate limiting, and security
Database integration and optimization (PostgreSQL, MySQL, Oracle, SQL Server) including connection pooling and query optimization
Enterprise system APIs (SAP, Salesforce, Oracle, etc.) with robust integration patterns
Performance engineering including profiling, optimization, and load testing
Data serialization and validation (JSON, XML, Protocol Buffers, Pydantic)
Logging and monitoring frameworks (structured logging, metrics collection, alerting)
Version control and CI/CD (Git, Jenkins/GitHub Actions, automated testing)

Preferred Experience

High-concurrency system development with proven experience supporting 1000+ concurrent users
Snowflake optimization and advanced SQL performance tuning
Container deployment (Docker, Kubernetes) and cloud-native development
Distributed systems patterns (circuit breakers, retries, bulkhead isolation)
Security best practices including OWASP guidelines and secure coding practices
DevOps experience including infrastructure automation and deployment strategies
Message queuing systems (Redis, RabbitMQ, Kafka) for asynchronous processing
Enterprise compliance experience (audit logging, data governance)

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