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You will be updated with latest job alerts via emailPrimary Responsibilities:
Lead and mentor a team of backend developers overseeing project planning development and delivery.
Architect and implement robust backend solutions using Python for datacentric web platforms.
Design scalable APIs and services ensuring performance security and maintainability.
Collaborate crossfunctionally with frontend developers designers and product stakeholders.
Guide code reviews establish coding standards and ensure adherence to best practices.
Optimize data workflows and database performance for highvolume systems.
Manage and improve CI/CD pipelines and deployment processes.
Proactively identify risks troubleshoot system issues and implement effective resolutions.
Contribute to longterm architecture planning and tech stack decisions.
Stay updated on emerging backend technologies and propose innovations where appropriate.
Qualifications :
Required Skills:
Minimum 10 years of experience in web development with at least 5 years specifically in Python.
Minimum of 3 years in a technical leadership role with proven ability to manage client communications project timelines and technical scopes.
Deep expertise in Python and backend frameworks such as Django or FastAPI.
Strong experience with designing and managing RESTful APIs and backend services.
Proficient in relational databases like PostgreSQL or MySQL including performance tuning.
Solid understanding of software architecture patterns scalability and security best practices.
Skilled in Git and modern version control workflows.
Experience with DevOps practices including CI/CD Docker and deployment pipelines.
Strong leadership mentorship and communication skills.
Strong analytical problemsolving and organizational skills.
Ability to work across teams translating technical requirements into practical solutions.
Intermediate English proficiency (B2 level or higher).
Nice To Have:
Familiarity with frontend technologies including Bootstrap/ Tailwind and modern JS frameworks ( or React preferred).
Familiarity with cloud infrastructure (AWS GCP or Azure).
Knowledge of asynchronous programming and background processing tools (e.g. Celery Redis).
Experience with Python libraries for data processing such as Pandas or SQLAlchemy.
Exposure to automated testing frameworks like Pytest.
Remote Work :
Yes
Employment Type :
Fulltime
Remote