Photon Interactive
From Photon Interactive's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Job Summary We are looking for an experienced Python Lead / Python Architect to join our engineering team.
Job Summary
We are looking for an experienced Python Lead / Python Architect to join our engineering team. You will be responsible for designing scalable backend architectures, leading a team of developers, and driving high-level technical decisions. This role involves both hands-on coding and architectural leadership, ensuring robust design and maintainability of our Python-based systems.
Lead the design and development of scalable backend systems using Python.
Architect microservices-based solutions that are maintainable, testable, and performant.
Collaborate with stakeholders to define technical requirements and translate them into system design.
Lead and mentor a team of Python developers, conducting code reviews and promoting engineering best practices.
Ensure high performance and responsiveness of applications.
Work closely with DevOps to ensure smooth deployment and monitoring of services.
Evaluate and recommend tools, technologies, and processes to ensure the highest quality product.
Troubleshoot production issues and drive root cause analysis and permanent fixes.
Required Skills and Qualifications
8+ Professional experience with Python, with strong fundamentals in OOP, concurrency, and design patterns.
Hands-on experience with web frameworks like Django, Flask, or FastAPI.
Solid experience in microservices architecture, RESTful APIs, and messaging systems (e.g. Kafka, RabbitMQ).
Strong understanding of database design – both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
Good understanding of CI/CD pipelines and DevOps principles.
Experience in code versioning tools like Git and collaborative tools like Jira, Confluence.
Strong problem-solving, debugging, and performance optimization skills.
Excellent communication and leadership skills.
Familiarity with GraphQL, gRPC, or event-driven architecture.
Exposure to data engineering, AI/ML pipelines, or big data tools is a plus.
Contributions to open-source Python projects or technical blog writing.
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