Python Developer with Integrations and CI/CD experience
Budget: ₹750 – ₹1,250 INR
Experience Level: 4–6 Years
Location: Remote (India-based candidates preferred)
Engagement Model: Contractual Assignment
About the Role
We are seeking a highly skilled Python Developer with 4–6 years of experience to join our team on a contractual basis. This role requires someone who is not just proficient in backend development but also brings in solid experience working on AI-first products, handling complex systems integrations, and managing the DevOps lifecycle including CI/CD.
This is a hands-on development role in a fast-paced, agile environment where the ability to collaborate, problem-solve, and deliver high-quality code is critical.
Key Responsibilities
• Design, develop, and maintain scalable Python-based backend services.
• Build and maintain complex integrations with third-party APIs, internal services, and AI/ML models.
• Collaborate with data scientists and AI engineers to integrate machine learning models into production.
• Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
• Ensure system scalability, reliability, and security through DevOps best practices.
• Work with containerization tools (Docker, Kubernetes) to manage microservices.
• Write clean, maintainable, and testable code following industry best practices.
• Participate in sprint planning, code reviews, and architecture discussions.
Required Skills
• Strong hands-on experience in Python (Flask, FastAPI, or Django frameworks).
• Proven experience in working on AI-first product environments (e.g., AI model APIs, LLM integration, etc.).
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Experience in managing CI/CD pipelines and infrastructure automation.
• Good understanding of DevOps tools: Docker, Kubernetes, Terraform (preferred).
• Excellent problem-solving skills and an analytical mindset.
• Experience in working with REST APIs, Webhooks, and asynchronous workflows.
• Exposure to version control systems like Git and collaborative tools like Jira, Confluence, etc.
Good to Have
• Experience working in startup or product-first environments.
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Understanding of MLOps and deployment of ML models in production.
Engagement Model
• Type: Contractual
• Trial Period: 1 week (paid trial to assess fit, code quality, and collaboration skills)
• Duration: 3 months
• Extension: Possible based on performance, commitment, and project pipeline
• Work Hours: Flexible, with overlap during core team hours as needed
• Start Date: Immediate
Location: Remote (India-based candidates preferred)
Engagement Model: Contractual Assignment
About the Role
We are seeking a highly skilled Python Developer with 4–6 years of experience to join our team on a contractual basis. This role requires someone who is not just proficient in backend development but also brings in solid experience working on AI-first products, handling complex systems integrations, and managing the DevOps lifecycle including CI/CD.
This is a hands-on development role in a fast-paced, agile environment where the ability to collaborate, problem-solve, and deliver high-quality code is critical.
Key Responsibilities
• Design, develop, and maintain scalable Python-based backend services.
• Build and maintain complex integrations with third-party APIs, internal services, and AI/ML models.
• Collaborate with data scientists and AI engineers to integrate machine learning models into production.
• Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
• Ensure system scalability, reliability, and security through DevOps best practices.
• Work with containerization tools (Docker, Kubernetes) to manage microservices.
• Write clean, maintainable, and testable code following industry best practices.
• Participate in sprint planning, code reviews, and architecture discussions.
Required Skills
• Strong hands-on experience in Python (Flask, FastAPI, or Django frameworks).
• Proven experience in working on AI-first product environments (e.g., AI model APIs, LLM integration, etc.).
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Experience in managing CI/CD pipelines and infrastructure automation.
• Good understanding of DevOps tools: Docker, Kubernetes, Terraform (preferred).
• Excellent problem-solving skills and an analytical mindset.
• Experience in working with REST APIs, Webhooks, and asynchronous workflows.
• Exposure to version control systems like Git and collaborative tools like Jira, Confluence, etc.
Good to Have
• Experience working in startup or product-first environments.
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Understanding of MLOps and deployment of ML models in production.
Engagement Model
• Type: Contractual
• Trial Period: 1 week (paid trial to assess fit, code quality, and collaboration skills)
• Duration: 3 months
• Extension: Possible based on performance, commitment, and project pipeline
• Work Hours: Flexible, with overlap during core team hours as needed
• Start Date: Immediate