Comcast's Developer Experience (DevX) organization is looking for a Software Development Engineer 3 to join their DevX Protect team to simplify the lives of fellow engineers by reimagining the developer journey—removing friction, reducing cognitive load, and embedding security and privacy from the ground up, making developers more productive, secure, and inspired.
Requirements
- Hands-on proficiency with Python, Java, React, Node.js, TypeScript, JavaScript, and Material UI.
- Experience with REST APIs, GraphQL, and WebSocket-based systems.
- Knowledge of unit testing frameworks like PyUnit or JUnit.
- Familiarity with SQL/NoSQL databases and monitoring tools (e.g., Splunk, ELK, Prometheus).
- Exposure to CI/CD, Docker, Rancher, or related infrastructure-as-code tooling.
- Strong understanding of secure development practices, including auth, encryption, and threat modeling.
- Expertise in Microservice and Event-Driven Architectures.
Responsibilities
- Design, build, and maintain high-quality software applications and tools that support security, privacy, and compliance.
- Lead by example—writing clean, testable, and efficient code while mentoring junior engineers and sharing best practices.
- Integrate with systems such as vulnerability scanners, compliance tools, and DevOps pipelines to provide actionable intelligence to developers.
- Champion developer-centric thinking, focusing on usability and feedback loops to continually improve the experience.
- Contribute to our team culture through documentation, demos, tech talks, and participation in hackathons, lab weeks and guild events.
- Explore and make use of AI tools to innovate and enable efficient code writing and operationalize AI utilization in our software development process.
Other
- Collaborate with product managers, security/privacy SMEs, and engineers to translate user needs into innovative technical solutions.
- Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
- 6+ years of experience in enterprise software development.
- 3+ years working with AWS cloud services.
- Experience with LLM integration (e.g., using Python to call AI models) is a big plus.
