Senior Full Stack Python Developer

The Cloud Security Engineering team within Cisco's Security & Trust Organization (STO) designs, builds, and maintains robust back-end systems, intuitive front-end interfaces, and efficient data pipelines to process and analyze large volumes of security-related data. We collaborate with cross-functional teams, including cybersecurity, data engineering, and cloud infrastructure, to deliver a platform that empowers STO to detect, prevent, and respond to security threats.

We are seeking an expert Senior Full Stack Python Developer to lead the development of a scalable and secure Security Data Platform.

As a member of the Cloud Security Engineering team, you have a deep understanding of data architecture, cloud technologies, and large-scale data processing systems. You're an expert with Python and Linux, cloud technologies, and scalable system design, as well as a core understanding of security principles, data processing workflows, and full stack development.

Platform Design and Development: Architect and develop the core platform for ingesting, processing, storing, and analyzing security-related data at scale. Build and maintain APIs and services using Python to enable integration with various data sources, tools, and systems. Create scalable, secure, and user-friendly front-end applications using modern frameworks like React, Angular, or Vue.js.

Back-End Development: Develop scalable and secure back-end services and APIs using Python frameworks such as Flask, FastAPI, or Django. Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, RBAC) to secure platform access. Handle integration with third-party security tools, APIs, and data sources like SIEM systems and Vulnerability Scanning tools.

Data Integration and Engineering: Design and build ETL pipelines to ingest and process structured and unstructured security data. Work with data engineering and analytics teams to optimize data workflows and storage solutions. Leverage big data tools (e.g., Apache Kafka, Spark) to enable real-time or batch processing of security events.

Database Management: Design and maintain scalable databases (relational and non-relational) for storing and querying security data. Optimize database performance with indexing, partitioning, and query optimization techniques. Ensure data integrity and scalability in environments handling large-scale security telemetry.

Security and Compliance: Apply secure coding practices to all aspects of platform development to protect against vulnerabilities. Ensure the platform complies with relevant security and data protection standards (e.g., GDPR, PCI DSS).

Collaboration and Leadership: Work closely with stakeholders, including cybersecurity teams, data engineers, and product managers, to capture requirements and deliver technical solutions. Mentor junior developers, conduct code reviews, and establish standard processes for development and deployment. Participate in architectural discussions and contribute to strategic decisions about platform design & implementation.

• 5+ years of professional experience as a Full Stack Developer using Python on Linux OS and cloud platforms (e.g., AWS, Azure, or Google Cloud) with a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Experience building scalable back-end systems, front-end interfaces, and platforms with a focus on data processing, analysis, or security, including the use of containerization tools like Docker and Kubernetes.
• Proficiency in relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., MongoDB, Cassandra) databases, including schema design, query optimization, and working with large-scale datasets.
• Experience designing ETL pipelines, data processing frameworks, and automating tasks using CI/CD pipelines and version control systems like Git.
• Demonstrated experience leading Agile development projects, mentoring team members, and collaborating with cross-functional teams.

• Ability to lead projects and mentor team members effectively
• Experience with SIEM systems (e.g., Splunk)
• Knowledge of big data tools like Elasticsearch or Hadoop.
• Familiarity with MLOps and integrating machine learning models into applications.
• Exposure to serverless architectures (e.g., AWS Lambda, Azure Functions).
• Experience working in Agile development environments.
• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.

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Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!