Candidates should have 5+ years of coding experience, with a strong foundation in Python programming at an intermediate level or above. Familiarity with Django and/or Flask is required, along with experience in Git or other version control systems and building/deploying APIs. A Bachelor's degree in computer science or comparable work experience is preferred, as is experience with Heroku, AWS, Jira, GitHub, systems design fundamentals, and custom Django admin functionality.

Candidates must have strong proficiency in Python, including design patterns and architecture, and experience developing modularized applications. Familiarity with asynchronous Python callbacks using Futures/asyncio, live Python debugging, performance profiling, and experience with 2D/3D content pipelines for games are essential. Experience building user interfaces with PySide, PyQt, or similar is also required, with preferred knowledge of game engine development and prior exposure to Pixar USD …

Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with a minimum of 5 years of experience as a Python Developer, specializing in backend development. Strong proficiency in Python and experience with AWS cloud infrastructure are required, as well as familiarity with SQL and NoSQL databases.

Candidates should have expertise in Python and experience with web development using Typescript and React. Familiarity with common software and system design patterns, including APIs and cloud infrastructure tools, is required. Test design and security awareness is preferred, but formal experience, certifications, or degrees are not mandatory.

Candidates must have practical experience working with Python in back-end applications and unit-testing know-how. Familiarity with Data Science and ML basics, the SDLC, and CI/CD pipelines is required. Experience building the backend of an ad platform or a reporting platform, as well as experience with Timestream, Elasticsearch, Snowflake, event-driven architecture, ML at scale, Web APIs, Terraform, or the AWS CDK are considered bonus points.

Candidates should have proven experience as a Backend Engineer with a strong focus on Python development and experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services. Experience operating and maintaining production applications at scale is also required.

Candidates should possess a Bachelor's degree in Computer Science or a related field, and demonstrate significant experience as a full-stack engineer, particularly within a startup environment. Experience with React, Python, and Postgres is highly desirable, along with a strong understanding of fintech and capital markets.

Candidates must possess a Bachelor's degree in Computer Science or a related field and have a minimum of 7 years of experience in designing, implementing, monitoring, and debugging large-scale, cloud-based solutions, along with proven experience building and deploying production-grade web applications at scale. Familiarity with LEAN product development and Agile frameworks (Scrum or Kanban) is required, as well as expertise in Python and the Django Framework, a strong understanding of SOLID des…

Candidates must possess strong proficiency in Python, including a deep understanding of Python design patterns and architecture, and experience developing modularized applications. Familiarity with asynchronous Python callbacks using Futures/asyncio, proficiency in live Python debugging and performance profiling, and experience with 2D/3D content pipelines for games are essential. Experience building user interfaces with PySide, PyQt, or similar is required. Knowledge of game engine development …

Candidates should have 6+ years of experience building modern web applications, proficiency in Python and frameworks like Django, and experience with JavaScript/TypeScript and frontend frameworks such as React or Vue. A solid understanding of relational databases like PostgreSQL, experience integrating with RESTful and/or GraphQL APIs, and familiarity with basic DevOps practices are also required. Strong communication skills, a team-first mindset, and openness to leveraging AI tools are essentia…

Candidates should possess skills in Data & Tech, Engineering, Data & Analytics, Infrastructure & IT, Sales, Account Management, Field Services & Customer Support, Inside Sales, Outside Sales, and Creative & Marketing.

Candidates should have extensive experience with Python and backend development, along with a strong understanding of web technologies. Familiarity with AWS services, CI/CD pipelines, and containerization using Docker and Kubernetes is essential. A background in working with databases like MongoDB, PostgreSQL, and Elasticsearch is required, as well as experience with infrastructure automation tools such as Terraform and Ansible. Excellent communication skills and the ability to collaborate effec…

Candidates should possess strong proficiency in Python and be familiar with data science libraries and data processing frameworks such as Pandas, Polars, Scikit-learn, and PyTorch. Experience working with databases, query engines, or analytical tools like Snowflake, BigQuery, ClickHouse, or DuckDB is required, along with an understanding of distributed systems and OLAP databases. Hands-on experience with data engineering workflows and integrating databases with machine learning or analytics pipe…

Candidates should possess 7+ years of professional experience with Python and Python-based frameworks (preferably Django), and Javascript and Javascript frameworks (React). Strong knowledge of how to query databases using SQL and/or ORMs is required, along with detailed experience with unit-testing frameworks, proficiency with Git or other version control systems, and familiarity with API design, development, and documentation. Experience working on products requiring a high level of security an…

Candidates must have expertise in Python and a strong background in backend development. Familiarity with common software and system design patterns, infrastructure including APIs, cloud infrastructure tools, storage solutions, and data structures is required. Knowledge about test design and security fundamentals is also necessary. Experience with Kubernetes, payment processing providers like Stripe, and a basic understanding of how AI models work are considered nice to have.