1 to 25 of 64 Flask Jobs

field. • Proficiency in: Web: HTML, CSS, JSON, REST APIs Programming: Python, Java, or JavaScript (Go experience strongly preferred) Frameworks (one or more): React, Angular, Vue.js, Node.js, Spring Boot, Django, Flask, Svelte Cloud: AWS, Azure, or similar (experience with C2S/GovCloud highly valued) Databases: MySQL, PostgreSQL, SQL Server Operating Systems: Windows, Linux Version Control: Git • Experience building and deploying containerized More ❯

years of professional software development experience with strong expertise in Python. Proven experience leading development teams and delivering complex enterprise solutions. Strong proficiency with Python frameworks such as Django, Flask, FastAPI, or similar. Hands-on experience with microservices architecture and API design. Strong knowledge of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc. Experience with cloud platforms such as AWS More ❯

design patterns Proficient on Linux for both development and operations Preferred Experience with deploying applications on Kubernetes Experience with Palantir Foundry Experience with Python API development frameworks (FastAPI, Django, Flask) Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j Consulting, Communication and Leadership Skills: Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders Strong More ❯

Generative AI applications (e.g., LLMs, RAG pipelines) in a cloud environment. Exposure to GitHub Actions, CircleCI, or other CI/CD tools. Experience working with Python-based backends (e.g. Flask, FastAPI) and integrating with AI services. Knowledge of serverless architecture in Azure (Azure Functions, Logic Apps). Familiarity with secrets management tools like Azure Key Vault, HashiCorp Vault, or AWS More ❯

AI models and agentic systems, ensuring seamless user experiences Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go) Design and implement scalable RESTful APIs and microservices to expose AI functionalities Deploy, manage, and optimize AI/ML workloads and full-stack applications More ❯

practices in the Python ecosystem and software engineering. Must Haves: 4+ years of software development experience Strong emphasis in python programming experience Strong skills in Python web frameworks - Django, Flask, FastAPI Good understanding of object-oriented programming principles, design patterns and software architecture Relational database and ORM framework experience (SQLAlchemy) Containerization familiarity with Docker and/or Kubernetes Cloud platform More ❯

rules, managing records, and integrating Appian with external systems via REST APIs, web services, and connected systems. API Development & Integration - Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate More ❯

patterns, testing, and debugging Must be based in the US and open to remote collaboration with international teams Nice to Have Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving Familiarity with modern frontend stacks like Next.js, Vue, or TypeScript Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS Background in high-growth startups or More ❯

Gitlab) The Person: We are looking for someone with ideally at least 2-4 years' proven Python Engineering experience, coupled with experience of the following Frameworks and AI exposure: Flask Django FastAPI Programming: Proven Python skills on end to end projects or product 2-4 years of experience in a similar role Interest or familiarity with AI - work or personal More ❯

personal projects). Proficiency in Python and its core data science libraries (e.g., scikit-learn, pandas, numpy). Experience building and maintaining APIs for data-centric applications (e.g., FastAPI, Flask). A strong foundation in software engineering best practices, including version control (Git), testing, and writing clean, maintainable code. Experience with Docker and deploying containerized applications. Proficiency with SQL for More ❯

Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯

leadership skills, including the ability to drive development projects, and mentor junior developers. Leading the design + development of complex applications using Core Python, and web frameworks (-eg- Django, Flask, FastAPI). SQL Server database experience, including developing/optimizing SQL Server databases, data analysis, and efficient data storage/retrieval. Familiarity with AWS Cloud Services, and Infrastructure as Code More ❯

workflows Shape technical strategy and contribute to long-term system improvements Drive code quality, observability, and resiliency across services Tech Stack Frontend : React, JavaScript/TypeScript Backend : Python (FastAPI, Flask, or Django), ideally with geospatial data processing Cloud : AWS (Lambda, ECS, RDS, S3, API Gateway, etc.) DevOps : Docker, CI/CD pipelines, Git Orchestration : Airflow or similar tools Eligo Recruitment More ❯

Experience with discrete event simulation Experience with geo-spatial and/or temporal databases Experience performing scientific evaluations, experimentation, and comparisons Familiarity with technologies such as Docker, Node, Spring, Flask Experience with database systems including SQL, NoSQL databases, and ORMs Experience with RESTful containerized micro services Experience with Kanban Workflow, GitFlow, and related software engineering practices Interview and Selection Applicants More ❯

Work with media processing technologies (FFMPEG, audio mixing, streaming pipelines). Engineer VoIP, DECT, and SIP-based communication software, including real-time call handling. Build and maintain REST APIs (Flask, FastAPI, Django) and integration layers. Contribute to highly available microservices deployed via Docker Compose and/or AWS . Work with MQTT, ZMQ, WebSockets, and other protocol-driven communication modules. More ❯

practices. Excellent problem-solving skills and ability to translate business challenges into AI solutions. Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker) Strong communication and collaboration skills. Preferred Qualifications: Experience with real-time AI applications, recommendation systems, or personalization engines. Knowledge of AI ethics More ❯

Airflow, Dagster) Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift) Data transformation tools (e.g. dbt) and data quality frameworks (e.g. Great Expectations) Backend Python frameworks (e.g. Django, FastAPI, Flask) for API development Modern data processing libraries (e.g. Polars, DuckDB) Infrastructure-as-Code (e.g. Terraform, Pulumi) and containerization (e.g. Docker) Open source contributions, or conference talks Ad-tech/mobile More ❯

for scalability, performance, and accuracy. Mentor junior engineers and review code for quality and best practices. Required Skills & Experience Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack - Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML More ❯

Backend software programming Skills :Software Development experience 8+ yearsExperience working with production/mission critical applicationsExcellent in server side Python with Flask framework, server side Java, interfacing with databases like MySQL/sqlLite/Pickle DBbackend for web, REST API, websocket programmingGood background in computer science basics like data structures and algorithmsExperience working with version control using GitFamiliaritywith Agile methodologySome More ❯

users needs Take technical ownership of areas of product Required: 8-9+ years of experience writing Backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI or similar Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (Ideally AWS) Good understanding More ❯

into sprint planning. Required Skills & Qualifications 5+ years of experience in software development, with strong expertise in Python. Proficient in building RESTful APIs and microservices using frameworks such as Flask, Django, or FastAPI. Solid understanding of object-oriented programming (OOP). Good working knowledge of relational and/or non-relational databases. Familiarity with microservices architectures and secure communication protocols More ❯

LLMs). Must-Have Qualifications Experience: 5+ years in software development, including experience managing live production systems at scale . Python Expertise: Demonstrable expertise in Python backend development (FastAPI, Flask, or Django). Containerization: Hands-on experience with Docker and container-based workflows. Cloud Proficiency: Proven ability to deploy to a major cloud provider (GCP highly preferred) and diagnose and More ❯

and storage systems (e.g., AWS, Databricks, Cloudera) Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR) Development of APIs and web server applications (e.g. Flask, Django, Spring) Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment Excellent communication and presentation skills; previous experience working with internal or external customers You might also More ❯

. Implement robust MLOps/LLMOps workflows including CI/CD, versioning, automated deployments, and monitoring. Deploy containerized workloads via Docker/Kubernetes and expose models via APIs (FastAPI, Flask, etc.). Integrate with IoT/edge platforms to enable predictive, real -time, and offline inference. 4. Domain Expertise - Manufacturing & SLM Apply AI across product design, production, aftersales, warranty analytics More ❯

Actively engage in troubleshooting and incident response to address production issues, continually learning from these experiences to improve future resilience. Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular, React and SQL databases. Optimize application performance, troubleshoot and resolve complex technical issues. Stay current with industry trends and emerging technologies, advocating for their application when they More ❯