
Software Security Engineer
18 hours ago
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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