Python Developer

Data Capital IncorporationBentonville, United States
Full TimeOn-siteDirectorLimited info disclosed
36 views0 applications

Description

About the Company We are seeking a highly skilled Senior Python Developer with 8+ years of software development experience to design, develop, and support scalable backend applications, cloud-native platforms, and enterprise-grade APIs. The ideal candidate will possess deep expertise in Python development, Google Cloud Platform (GCP), microservices architecture, DevOps practices, and cloud infrastructure. This role requires strong technical leadership, problem-solving abilities, and collaboration with cross-functional teams to deliver secure, scalable, and high-performing solutions. About the Role We are seeking a highly skilled Senior Python Developer with 8+ years of software development experience to design, develop, and support scalable backend applications, cloud-native platforms, and enterprise-grade APIs. Responsibilities Design, develop, and support scalable backend applications. Work on cloud-native platforms and enterprise-grade APIs. Provide strong technical leadership and problem-solving abilities. Collaborate with cross-functional teams to deliver secure, scalable, and high-performing solutions. Qualifications 8+ years of professional software development experience. Strong expertise in Python programming and Object-Oriented Programming (OOP) principles. Hands-on experience building and deploying applications on Google Cloud Platform (GCP). Strong experience developing RESTful APIs and microservices architectures. Experience with Git, CI/CD pipelines, and DevOps methodologies. Proficiency with Docker and Kubernetes. Strong understanding of cloud infrastructure, networking, storage, security, IAM, and compute services. Experience with application monitoring, logging, debugging, and performance tuning. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills Experience with FastAPI, Flask, or Django frameworks. Experience with GCP services such as Cloud Run, GKE, Compute Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, and Cloud SQL. Familiarity with Terraform or Infrastructure as Code (IaC) tools. Experience working in Agile/Scrum environments. Knowledge of event-driven architectures and messaging systems. Exposure to observability tools such as Prometheus, Grafana, Datadog, or Cloud Monitoring. GCP Professional Cloud Developer or Cloud Architect certification is a plus. Show more Show less