API Engineer (SE3 / SE4)

7Th Sky Tech; Matthews (NC); Hybrid; USD 140,000 - 210,000; Full time

Job summary

7Th Sky Tech is seeking experienced API Engineers (SE3 & SE4) to design, build, and deploy scalable API services and integration solutions that power AI/ML-driven business applications. This is a hands-on backend role focused on cloud-native technologies and AI integration.

Hybrid work model with Charlotte, NC and San Francisco, CA locations; contract employment; strong emphasis on Python and/or Golang, RESTful APIs, and CI/CD in Google Cloud environments.

Qualifications

• SE3: 4+ years of Software Engineering experience
• SE4: 7+ years of Software Engineering experience
• Strong backend development experience with Python and/or Golang
• Experience building production-grade API services and microservices
• Hands-on cloud-native development and DevOps knowledge

Responsibilities

• Design, develop, and maintain scalable API-driven services.
• Build integration layers connecting enterprise apps with AI/ML and analytics solutions.
• Collaborate with Data Science teams to operationalize ML models.
• Develop backend services using Python and/or Golang.
• Design and implement RESTful APIs and microservices.
• Deploy and support containerized apps in cloud-native environments.
• Build, maintain, and troubleshoot CI/CD pipelines.
• Participate in architecture discussions and provide technical guidance.
• Partner with cross-functional teams to deliver AI-driven solutions.

Skills

Python

Golang

API design

Cloud-native

CI/CD

DevOps

Tools

GKE

OpenShift

Jenkins

GitOps

FastAPI

Django

Flask

Job description

• Microservices Architecture
• Enterprise application development
• Cloud-native deployments
• Hands-on cloud-native development experience

We are looking for experienced API Engineers (SE3 & SE4) to design, build, and deploy scalable API services and integration solutions that power AI/ML-driven business applications. This is a hands-on engineering role focused on backend development, cloud-native technologies, and AI integration.

Locations

• Charlotte, NC (Hybrid)
• San Francisco, CA (Hybrid)

Charlotte Nearby Locations

• Concord
• Huntersville
• Matthews
• Mint Hill
• Pineville
• Belmont
• Mount Holly
• Gastonia
• Indian Trail
• Cornelius
• Davidson
• Mooresville
• Kannapolis
• Monroe
• Waxhaw
• Fort Mill (SC)
• Rock Hill (SC)
• Tega Cay (SC)

San Francisco Nearby Locations

• Oakland
• Berkeley
• Daly City
• South San Francisco
• San Bruno
• Millbrae
• Burlingame
• San Mateo
• Redwood City
• Foster City
• Belmont
• San Carlos
• Palo Alto
• Alameda
• Emeryville
• Richmond
• Walnut Creek
• Fremont
• Hayward
• San Leandro

Work Model

Hybrid

Employment Type

Contract

Experience Required

• SE3: 4+ years of Software Engineering experience
• SE4: 7+ years of Software Engineering experience

Key Responsibilities

• Design, develop, and maintain scalable API-driven application services.
• Build integration layers connecting enterprise applications with AI/ML and predictive analytics solutions.
• Collaborate with Data Science teams to operationalize machine learning models.
• Develop backend services using Python and/or Golang.
• Design and implement RESTful APIs and microservices.
• Deploy and support containerized applications in cloud-native environments.
• Build, maintain, and troubleshoot CI/CD pipelines.
• Participate in architecture discussions and provide technical guidance.
• Partner with cross-functional teams to deliver AI-driven business solutions.
• Ensure application performance, scalability, reliability, and high availability.

Required Skills Programming Languages

• Strong experience with Python and/or Golang (Golang preferred)
• Java experience is a plus

API & Backend Development

• Python
• FastAPI
• Django
• Flask
• RESTful APIs
• Microservices Architecture
• Enterprise application development

AI / ML Integration

• Experience integrating AI/ML capabilities into enterprise applications
• Exposure to:
  • Vertex AI
  • Gemini Enterprise
  • Predictive AI/ML Models
  • NLP
  • Classification Models
  • Clustering Models

DevOps & Cloud

• Containerization
• CI/CD Pipelines
• Jenkins
• GitFlow / GitOps
• Google Kubernetes Engine (GKE)
• OpenShift
• Cloud-native deployments
• GCP (Preferred)
• Delivery pipeline setup and troubleshooting

Ideal Candidate

• Strong backend application development experience
• Expertise building production-grade API services
• Experience integrating AI/ML capabilities into enterprise applications
• Hands-on cloud-native development experience
• Strong DevOps and CI/CD knowledge
• Experience working in cross-functional Agile teams
• Ability to mentor team members while remaining hands-on

Not the Right Fit

• Pure Java Developers
• Python Data Engineers
• ETL Developers
• Data-focused engineers without application development experience