Codesmart

CodeSmart is seeking an experienced and proactive Senior Python Developer to join our growing engineering team. The ideal candidate has a deep understanding of Python, extensive experience building scalable web applications with Django, and a strong background in distributed systems using Celery and RabbitMQ. You will also be responsible for designing and integrating features powered by OpenAI and other LLM APIs, helping us build intelligent, AI-driven products.

As a Senior Python Developer, you will own core parts of the backend architecture, mentor other engineers, and work closely with product and cross-functional teams to deliver robust, high-quality solutions.
 

Responsibilities:

• Design, develop, and maintain backend services using Django framework and Fast API.
• Architect and optimize asynchronous task processing using Celery and RabbitMQ.
• Design and implement features that leverage OpenAI and other LLM APIs (e.g., content generation, assistants, search, classification, and summarization).
• Take ownership of technical solutions from design through deployment, monitoring, and iteration.
• Collaborate with product managers, designers, and other developers to define and implement new features.
• Write efficient, reusable, testable, and well-documented code.
• Participate in and lead code reviews, ensuring code quality, performance, and adherence to best practices.
• Design and optimize Postgres database schemas, queries, and migrations.
• Use Docker to containerize applications and support deployment workflows.
• Diagnose, troubleshoot, and resolve complex production issues.
• Mentor Middle and Junior developers, providing technical guidance and knowledge sharing.
• Stay current with industry trends, especially in LLMs, AI/ML tooling, and backend technologies, and bring relevant ideas into the team.
   

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 6+ years of commercial experience in Python backend development.
• Strong hands-on experience with the Django framework.
• Proven production experience integrating and working with OpenAI and other LLM APIs (e.g., prompt design, handling context windows, managing costs and rate limits).
• Experience building AI-powered features or workflows on top of LLMs (chatbots, assistants, content generation, semantic search, etc.).
• Strong knowledge of Object-Oriented Programming, design patterns, and application architecture.
• Proficiency with Postgres SQL: schema design, indexing, query optimization.
• Practical experience with Docker for development and deployment.
• Strong debugging, performance optimization, and problem-solving skills.
• Experience with Git.
• Experience working in Agile environments Scrum/Kanban.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD.
• Excellent communication skills and the ability to collaborate effectively in a distributed team.
• Experience building AI-powered features: content generation, interactive workflows, structured output parsing, prompt design
• Solid production experience with Celery + RabbitMQ (retries, task states, error handling, restart resilience)
• Strong knowledge of Docker & Docker Compose for development and deployment of multi-container applications

If you have real-world prompt examples from production projects (chatbots, interactive story generators, agents, RAG pipelines with multi-step reasoning), please highlight them in your cover letter or include GitHub links. This will significantly speed up the review process.
 

If you’re passionate about building scalable backend systems and excited to work at the intersection of Python and LLM-powered applications, we’d love to hear from you.

About Us

We are looking for a highly skilled and proactive Middle QA Automation Engineer to join our engineering team and take ownership of test automation and quality practices, with a strong focus on mobile applications.

Our products rely heavily on mobile experiences, including apps built with Flutter, and require a robust, scalable, and reliable approach to test automation.

This role goes beyond writing tests — it is about building a sustainable mobile automation ecosystem, improving engineering processes, and ensuring consistent product quality across the entire development lifecycle.

The ideal candidate combines strong hands-on expertise in mobile automation with a systems mindset and takes full ownership of quality as an engineering discipline.

Core Responsibilities

Design, build, and maintain scalable test automation frameworks with a strong focus on mobile applications (iOS/Android), including Flutter-based apps.

Define and evolve a mobile-first automation strategy, balancing UI, API, and integration testing for optimal coverage and stability.

Develop robust automated test suites for mobile UI, including handling asynchronous behavior, animations, and platform-specific differences.

Integrate automated tests into CI/CD pipelines, ensuring reliable execution across devices, emulators, and environments.

Collaborate closely with Mobile Developers, Product Owners, and DevOps to ensure testability and embed quality early in the SDLC.

Drive best practices for mobile test architecture, test data handling, and environment stability.

Perform root-cause analysis of defects, with a focus on complex mobile-specific issues (state, network conditions, device fragmentation).

Participate in code reviews for both application and test code, ensuring maintainability and scalability.

Support release cycles with clear quality signals, including mobile-specific metrics (crash-free rate, test stability, coverage).

Typical Requirements

Experience

4+ years of hands-on experience in QA with a strong focus on automation.

Proven experience in mobile test automation (iOS/Android).

Experience working with applications built on Flutter is highly desirable.

Solid understanding of SDLC, Agile/Scrum methodologies, and quality engineering principles.

Technical Test Automation Skills

Strong expertise in mobile automation frameworks:

Appium / WebdriverIO (mobile) / Detox / Espresso / XCUITest or similar.

Experience testing Flutter applications, including understanding of widget-based UI and common testing challenges.

Strong knowledge of UI automation (Playwright / Selenium / Cypress is a plus, but not primary).

Hands-on experience in API testing:

Postman / Newman / REST Assured or similar tools.

Proficiency in at least one programming language:

Python / Java / JavaScript / TypeScript.

Experience with CI/CD pipelines for mobile testing:

Jenkins, GitHub Actions, GitLab CI, including running tests on emulators or device farms.

Understanding of mobile-specific challenges:

device fragmentation, OS differences, network variability, app lifecycle.

Soft Skills

Strong analytical thinking and ability to break down complex mobile behaviors into testable scenarios.

High level of ownership and accountability for product quality.

Ability to work independently and proactively identify risks in mobile user flows.

Clear and structured communication with cross-functional teams.

Nice-to-Have

Experience with Flutter integration testing (integration_test, flutter_driver legacy).

Experience with cloud-based device farms (BrowserStack, Sauce Labs, Firebase Test Lab).

Experience with performance testing and monitoring of mobile applications.

Familiarity with crash analytics tools (Firebase Crashlytics or similar).

Experience with microservices and backend validation for mobile apps.

What You’ll Deliver

Reliable and scalable mobile automation coverage, including Flutter-based applications.

Increased confidence in mobile releases across devices and platforms.

Faster and more predictable release cycles through stable automation.

Early detection of mobile-specific issues before production.

Contribution to building a strong, engineering-driven quality culture around mobile products.