76 to 100 of 198 Remote pytest Jobs

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Continuous integration and daily deployments are part of the workflow. This is a fully remote opportunity, but requires More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Continuous integration and daily deployments. This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Continuous integration and daily deployments are part of the workflow. This is a fully remote opportunity, but requires More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Continuous integration and daily deployments are part of the workflow. This is a fully remote opportunity, but requires More ❯

mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based in More ❯

modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate More ❯

for Application Development (Lambda, S3, SNS, SQS, SageMaker) Familiarity with CI/CD, GIT, Docker Experience in TDD or BDD testing frameworks such as PyTest or Behave Desirable Experience in machine learning deployments, LLM based applications Container technologies (e.g., Docker, AWS ECS/ECR) Our Values & Diversity We are proud More ❯

applications (implemented using Scripting languages, preferably NodeJs/Python) Excellent analysis/debugging/diagnostic skills Experience and understanding of testing frameworks (Jest, Mocha, Pytest, Unittest, etc.) Experience and knowledge of cloud services, preferably AWS (Lambda, Step Function, DynamoDB, Cloudformation, etc.) Understanding of agile development methodologies Much preferred - Experience working More ❯

Utilize data analytics to drive business decisions Key skills & qualifications: Strong python programming skills Good knowledge of software engineering best practice Experience with TDD (pytest or equivalent) Experience with cloud native deployments (currently in Databricks and Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS More ❯

Python development Knowledge of frameworks such as Django or FastAPI (or equivalent) Experience working with databases (SQL or NoSQL) Familiarity with testing frameworks (e.g., PyTest, Unittest) Experience with version control (Git) and modern development workflows Strong problem-solving skills and a collaborative mindset Ability to write clear technical documentation What More ❯

modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate More ❯

modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate More ❯

cryptographic concepts (public/private keys, certificates) Experience of COTS and bespoke hardware platforms Programming/Scripting ; Python, Bash Test frameworks such as Robot & PyTest Desirables: Experience testing hardware using multimeters, oscilloscopes Understanding of virtualisation technologies such as Docker or Firecracker Understanding of software development such as C/C++ More ❯