We are seeking a highly skilled and motivated Senior Backend Developer with deep expertise in Python to join our dynamic team. You will play a pivotal role in designing and implementing our next-generation Automation Framework, which will transform how we build and manage automated testing infrastructures at scale.
As a senior contributor, you will be responsible for defining architecture, guiding technical design decisions, and delivering high-quality backend services that are robust, scalable, and maintainable.
Key Responsibilities:
Architect and develop a modular and scalable Resource Manager to allocate and monitor test infrastructure resources dynamically.
Design and implement a Workflow Application to orchestrate automated test creation, scheduling, and execution pipelines.
Build the backend infrastructure to support the automation ecosystem, including job scheduling, task orchestration, status tracking, and result aggregation.
Collaborate with QA teams, and DevOps to create seamless end-to-end solutions.
Lead and mentor junior developers by providing technical guidance and code reviews.
Take ownership of the entire development lifecycle from concept and design to testing, deployment, and maintenance.
Ensure high performance and responsiveness of services, especially under load.
Write clean, maintainable, and well-documented code aligned with best practices.
Requirements: 3+ years of extensive experience in Python and backend development.
Expertise in Pytest for test automation and test framework development.
Experience working in Linux Environment.
Strong skills in diagnosing and fixing issues.
Familiarity with SQL or NoSQL databases.
Familiarity with container technologies (Docker)
Proven experience with leveraging open-source technologies and working with AI tools is an advantage.
Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
Excellent analytical and critical thinking abilities.
Strong teamwork and communication skills, with experience in Agile methodologies and collaboration with cross-disciplinary teams.
Advantages:
Experience with AI/ML frameworks and libraries.
Knowledge in networking and routing protocols
Knowledge of frontend development
Knowledge of cloud platforms and services (e.g., AWS, Azure, GCP).
This position is open to all candidates.