Full Stack Python Developer

Job Description Job Summary: We are seeking a dynamic and experienced Software Engineer with a strong background in Full Stack Python development and preferably experience with AI/ML integration, and OpenShift container orchestration. The ideal candidate will also have deep expertise in designing and developing robust, scalable Python-based APIs to support enterprise-grade applications. ________________________________________ Key Responsibilities: u2022u2003Lead the design, development, and deployment of full stack features using Python and modern frontend frameworks. u2022u2003Architect and implement scalable RESTful APIs and microservices using Python frameworks such as Flask, FastAPI, or Django. u2022u2003Design and implement rich single-page applications in React or Angular with robust state management and modular component architectures. u2022u2003Integrate AI/ML models into backend services and APIs for intelligent feature delivery. u2022u2003Manage containerized applications and deployments using OpenShift and Kubernetes. u2022u2003Architect for evolvabilityu2014design domain boundaries, event flows, and interfaces that anticipate new features and scale as complexity grows. u2022u2003Integrate object storage (S3/MinIO) for artifacts and datasets; enforce lifecycle, encryption, and cost controls. u2022u2003Collaborate with cross-functional teams to define technical requirements and delivery plans. u2022u2003Ensure high code quality through unit testing, integration testing, and CI/CD pipelines. u2022u2003Monitor and optimize API performance, security, and scalability. u2022u2003Apply LLM assisted development in day to day work (prompting, tool/function calling) to generate code stubs, tests, and documentation efficiently and safely. u2022u2003Guide junior developers and promote best practices in API design and full stack development. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022u20037+ years of experience in software development with strong Python expertise. u2022u2003Strong Backend Python with Flask/FastAPI/Django and proven API delivery including DRF (async, background tasks, versioning). u2022u2003Platform & DevOps: OpenShift, Docker, Kubernetes; CI/CD with Jenkins; source control with Git/Bitbucket/GitLab (branching, code reviews, merge resolution, releases). u2022u2003Solid understanding of full stack development (React/Angular, Python). u2022u2003Security: web app security & InfoSec policy + OAuth2/JWT/rate limiting. u2022u2003Experience integrating with S3/MinIO, data visualization using Tableau. u2022u2003Working knowledge of SQL (PostgreSQL or SQL Server) and NoSQL (MongoDB); schema design, indexing, and query tuning. u2022u2003Solid understanding of branching strategies, process of code review, merge conflict resolutions, and source control using Git u2022u2003Strong understanding of Agile methodologies and feature-driven development. u2022u2003Excellent communication, leadership, and problem-solving skills. u2022u2003Hands-on experience with AI/ML model development and deployment. u2022u2003Certifications in Python, AI/ML, or OpenShift. u2022u2003Ability to elicit user pain points and translate them into automation, prompts, and product requirements; proven habit of daily code generation using LLM tooling in a production environment. u2022u2003Familiarity with Ansible/Ansible Tower for platform automation and repeatable environment provisioning. u2022u2003Experience with cloud platforms (AWS, Azure, GCP). u2022u2003Exposure to MLOps and data engineering pipelines. u2022u2003Practical prompt engineering for LLMs: structured prompting, function/tool calling, safety/hallucination mitigation, and evaluation/traceability. u2022u2003Experience with vLLM and Ollama for LLM inference; RAG architectures using vector embeddings and vector stores (e.g., Redis, Neo4j, pgvector). u2022u2003Demonstrated use of state management (Redux/Zustand/NgRx) and WebSockets for real time features. u2022u2003JavaScript/TypeScript proficiency for React/Angular frontends; strong knowledge of HTML/CSS, modular CSS, and build tooling.

Created: 2026-01-12