
Senior Software Security Engineer
6 days ago
Key Responsibilities
- Design, develop, and optimize Python-based microservices for our internal platform and supporting infrastructure.
- Write clean, reusable, and well-documented code and libraries.
- Ensure application performance, scalability, and reliability across environments.
- Implement and maintain build processes using PANTS, UV, or other modern Python build tools.
- Apply secure coding practices and contribute to platform compliance with internal security standards.
- Work closely with DevOps, product, and design teams to ship secure, reliable features.
- Conduct code reviews and share best practices with peers.
- Stay current with emerging technologies, frameworks, and best practices in Python and secure software development.
Knowledge and Attributes
- Strong understanding of Python’s ecosystem and modern backend development practices.
- Deep knowledge of microservices architecture and distributed systems.
- Familiarity with secure software development principles and compliance standards.
- Works well across disciplines to solve problems and deliver value quickly.
- Excellent analytical, debugging, and problem-solving skills.
- Effective communication and knowledge sharing capabilities.
Academic Qualifications and Certifications
- Bachelor's degree or equivalent qualification in computer science, software engineering, or a related field (or demonstrated equivalent work experience).
- Relevant certifications in Python development, cloud technologies, or DevOps are a plus.
Required Experience
- 8+ years of professional experience in Python software development.
- Proficiency in frameworks and libraries such as FastAPI, Flask, and SQLAlchemy.
- Experience with PANTS, UV, or similar build systems.
- Solid understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
- Experience with Git and agile development methodologies.
- Experience with automated testing frameworks and writing unit/integration tests.
- Experience with cloud platforms (AWS, GCP, Azure).
- Knowledge of observability tools (e.g., Prometheus, Grafana).
- Familiarity with infrastructure-as-code tools (e.g., Terraform, Pulumi).
- Exposure to security and compliance practices in software development.
- Experience with Python type checking (e.g., MyPy) and linting tools (e.g., Flake8, Black).
- Familiarity with asynchronous programming and event-driven architecture.
Familiarity with AI augmented development workflows.
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