Python Platform Engineer (AI & Distributed Systems)
Mitchell Martin
- Jersey City, NJ
- 1 day ago
- $70–$90 Per Hour
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Skills
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Business Operationsunmatched
- Cloud Architectureunmatched
- Distributed Computingunmatched
- Emerging Technologyunmatched
- Maintain Complianceunmatched
- Onboardingunmatched
- Python Programming/Scripting Languageunmatched
- Risk Managementunmatched
- Security Complianceunmatched
- Service Deliveryunmatched
- Software Engineeringunmatched
- System Architectureunmatched
- System Integration (SI)unmatched
- Systems Engineeringunmatched
- Systems Scalabilityunmatched
- Technical Deliveryunmatched
Description
Title: Python Platform Engineer (AI & Distributed Systems)
Location: Jersey City, NJ
Employment Type: Contract
Compensation:
Pay Range:$70.00-$90.00 Per Hr
Description
This role involves designing, building, and maintaining Python platforms for scalable, enterprise systems in Jersey City, NJ.
It is a contract position focused on backend engineering with an emphasis on distributed systems and AI integration.
The engineer will collaborate with senior engineers and architects to modernize systems and integrate emerging AI technologies.
Design and maintain production-grade Python platforms for enterprise systems.
Focus on backend engineering with distributed systems and AI integration.
Work within a regulated environment to modernize legacy systems.
Integrate AI technologies and deliver resilient services.
Ensure compliance with security, governance, and risk management standards.
Build reusable platform components and align with architectural direction.
Key Responsibilities
Architect and implement Python-based applications and services.
Design distributed systems with concurrency and resiliency.
Build and productionize AI workflows and model integration.
Implement event-driven patterns using asynchronous messaging.
Collaborate with architects to align solutions with enterprise standards.
Qualifications
Strong Python engineering background in platforms and distributed systems.
Experience with microservices, REST APIs, and event-driven architectures.
Hands-on experience with Python frameworks.
Familiarity with async programming and service orchestration.
Understanding of cloud-native architecture and operational best practices.
Core Technologies
Python | Microservices | REST APIs | Cloud Architecture | AI Integration
Contact Authorization
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy.
Onboarding Expectations
Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4
EEO Statement
Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-NM1
Location: Jersey City, NJ
Employment Type: Contract
Compensation:
Pay Range:$70.00-$90.00 Per Hr
Description
This role involves designing, building, and maintaining Python platforms for scalable, enterprise systems in Jersey City, NJ.
It is a contract position focused on backend engineering with an emphasis on distributed systems and AI integration.
The engineer will collaborate with senior engineers and architects to modernize systems and integrate emerging AI technologies.
Design and maintain production-grade Python platforms for enterprise systems.
Focus on backend engineering with distributed systems and AI integration.
Work within a regulated environment to modernize legacy systems.
Integrate AI technologies and deliver resilient services.
Ensure compliance with security, governance, and risk management standards.
Build reusable platform components and align with architectural direction.
Key Responsibilities
Architect and implement Python-based applications and services.
Design distributed systems with concurrency and resiliency.
Build and productionize AI workflows and model integration.
Implement event-driven patterns using asynchronous messaging.
Collaborate with architects to align solutions with enterprise standards.
Qualifications
Strong Python engineering background in platforms and distributed systems.
Experience with microservices, REST APIs, and event-driven architectures.
Hands-on experience with Python frameworks.
Familiarity with async programming and service orchestration.
Understanding of cloud-native architecture and operational best practices.
Core Technologies
Python | Microservices | REST APIs | Cloud Architecture | AI Integration
Contact Authorization
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy.
Onboarding Expectations
Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4
EEO Statement
Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-NM1
Numbers & Facts
| Location | Jersey City, NJ |
| Industry | Staffing/Employment Agencies |
| Salary | $70–$90 Per Hour |
| Company Size | 100 to 499 employees |
| Year Founded | 1984 |
| Website | https://www.mitchellmartin.com |
About Company
OUR FOCUS IS GROWTH
It’s not just about filling job openings. It’s about enabling growth and inspiring success. That’s what we do.
Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines. We help drive success for both people and companies by helping them achieve positive growth. We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.