1 to 25 of 26 Remote Permanent Celery Jobs

TypeScript, JavaScript (ES2022), React, React Query, React Router, MaterialUI, GitHub Actions, and a service-oriented architecture. The broader tech stack features Django REST Framework, PostgreSQL, AWS, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, GitHub, Jenkins, Elasticsearch, and raw SQL for analytics. We emphasize clean, maintainable, and extendable code. Responsibilities Collaborate with product owners, managers, UI designers, and engineers to define More ❯

React Query, React Router, MaterialUI, GitHub actions, on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Github, Jenkins, Elasticsearch and lots of raw SQL for analytics. We have a very large but clean code base as we put significant emphasis on design patterns More ❯

improvement Maintaining our CI infrastructure and building for observability and resilience Triage and troubleshoot operational and customer issues Ideally, you’ll have: Experience working with PHP, Symfony, Django, PSQL, Celery, AWS for over 5 years Design and Development of scalable REST and message-driven APIs and services in Python or similar Experience developing desktop and mobile applications Experience in More ❯

and problem-solving; someone diligent and thoughtful. Experience with the following: Python Django (or equiv. web framework) Domain modelling HTTP and REST APIs Writing robust and fault-tolerant software Celery and async processing Postgres Plus experience in the following would be a bonus: AWS Terraform, Packer, Consul React and Redux Why else you'll love it here Wondering what More ❯

creating and maintaining automated tests to build high-quality software (unit, acceptance and UI tests) Experience with technologies and processes that we use - i.e. Django, PostgreSQL, DynamoDB, RabbitMQ, Nginx, Celery, Puppet, Fabric, Docker, AWS, TDD, GoCD, etc. A self-starter - able to use initiative and deliver results Highly collaborative - able to work successfully across teams Logical and strong problem More ❯

technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We do code reviews and regular pair programming. Furthermore, we work flexibly with More ❯

mostly work with Python and Django on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, React.js, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Git, Jenkins and Elasticsearch. We have a very large but clean code base as we put significant emphasis on design patterns, code readability, automated testing, maintainability and More ❯

marketing automation platforms. Bonus Points: Experience with event tracking tools like Google Analytics, Mixpanel, Segment. Knowledge of AI/ML models for marketing insights. Experience with Redis, Huey, or Celery for background tasks. Familiarity with Stripe, Google Pay, Apple Wallet, and APNS. Benefits include 25 days holiday + bank holidays, 1 paid volunteering day, flexible remote work, personal development More ❯

and NoSQL databases (PostgreSQL, MongoDB). Proficient with Docker/Kubernetes and CI/CD tools. Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). More ❯

and NoSQL databases (PostgreSQL, MongoDB). Proficient with Docker/Kubernetes and CI/CD tools. Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). More ❯

are curious and not afraid to be experimental. You share your ideas and continuously improve yourself and the team around you. Tools for the job: Python Django, FastAPI and Celery SQL, PostgreSQL AWS Docker What we offer: 100% remote work Training and conference budget Health insurance Life insurance Private pension plan Centric Software provides equal employment opportunities to all More ❯

sale. You’ll be working with a backend stack to include, but is not limited to: Python, Django, Event messaging and RESTful APIs, Services Oriented Architecture, PostgreSQL, DynamoDB, RabbitMQ, Celery, Puppet, Fabric, Docker, CircleCI/Continuous Deployment via ChatOps, and is hosted on AWS. This career opportunity promises to be varied and paced from the get go. Responsibilities will … Software Development Engineer or similar Experience working with Python in an academic or professional setting Experience with technologies and processes that we use – i.e. Django, PostgreSQL, DynamoDB, RabbitMQ, Nginx, Celery, Puppet, Fabric, Docker, AWS, TDD, GoCD, etc. Experience building and maintaining real-world products using continuous integration/deployment to enable engineers to deploy code and configuration from local More ❯

platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and More ❯

platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and More ❯

platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and More ❯

platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and More ❯

Technologies Cloud Platforms: Google Cloud Platform and AWS Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures Databases: MongoDB and DynamoDB DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling More ❯

Technologies Cloud Platforms: Google Cloud Platform and AWS Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures Databases: MongoDB and DynamoDB DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling More ❯

in instrumentation, observability and monitoring. Experience with container and orchestration technologies and relevant security considerations.We often use Kubernetes and EKS. Expertise in Relational and non-relational databases. Experience in Celery, EventBridge, SQS and SNS. Experience in Unity Framework, Generative AI. It Pays to Work Here We take a holistic approach to compensation at Gemini, which includes: Competitive Compensation Long More ❯

learn where required Cloud Platforms : AWS and GCP Frameworks : Vue.js, Django Rest Framework, Container-based and Serverless architectures Databases : MongoDB and DynamoDB DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling More ❯

learn where required Cloud Platforms : AWS and GCP Frameworks : Vue.js, Django Rest Framework, Container-based and Serverless architectures Databases : MongoDB and DynamoDB DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling More ❯

must be based within the UK or EU and be comfortable working UK business hours. We value stability and simplicity in our technology choices. Currently, we use: Python (Django, Celery) Deployment via AWS CI/CD with CircleCI We’re also keen for the successful candidate to help shape the future front-end technology stack. If you’re a More ❯

Experience in working with Airflow (or there's ETL orchestration tools) and DBT; Familiarity with Java or other JVM languages is a plus. Tools and technologies MLFlow, HuggingFace, vLLM, Celery, Databricks, Airflow, dbt, Microsoft Azure, Airbyte, k8s, terraform and a lot of custom self-developed tools. Some of our key Benefits Personal and career development: we support employee's More ❯

AI collaboration. What Makes a Great Candidate 3+ years of experience in software or ML engineering with a strong focus on Python. Solid backend experience with tools like Django, Celery, PostgreSQL, MongoDB. Familiarity with deploying and monitoring ML models in production environments. An experimental mindset-comfortable working in ambiguity and iterating fast. If you are a skilled Python Engineer More ❯

technical topics Learn quickly and adapt to complex issues What we would like to see from you Experience with Python Interest in backend development Understanding of distributed systems (RabbitMQ, Celery, Redis, Memcached) Knowledge of scientific libraries such as Numpy and Pandas Experience with MongoDB, BigQuery, and data visualization tools Experience with designing, training, and evaluating machine learning models Familiarity More ❯