Senior Staff Full Stack Software Engineer - Data/AI

The Washington Post - Washington, DC

Part-time,Full-time - Senior

Washington, DC

Publishing Industries

About the position

The Sr. Staff Software Engineer for Data and AI at The Washington Post will lead the development of innovative AI-powered projects, focusing on full-stack solutions that utilize cutting-edge AI technologies. This role involves designing, building, and deploying software while mentoring junior developers and collaborating with cross-functional teams to enhance user experience on a news media platform.

Responsibilities

• Lead full-stack development using React, Node, and Python, delivering scalable and secure web applications.
• Collaborate on gathering and analyzing project requirements to define technical solutions.
• Write clear, maintainable code, following best practices in version control, code reviews, and testing.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Mentor and coach junior engineers, offering technical guidance and reviewing code.
• Collaborate with stakeholders to manage and optimize project timelines, proactively identifying blockers and risks.
• Design, implement, and deploy AI models and algorithms, ensuring seamless integration with existing technology.
• Stay current with industry trends and suggest improvements to enhance performance, security, and scalability.
• Contribute to the development of technical documentation and design specifications.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field; Master's degree preferred.
• 10+ years of overall experience in Software Engineering.
• 4+ years of AI/ML deployment experience.
• Extensive experience with full-stack development using React, Node, and Python.
• Strong understanding of front-end and back-end integration.
• Expertise in working with NoSQL databases like MongoDB and DocumentDB.
• Experience with deploying AI and machine learning models in production environments.
• Proficiency with cloud infrastructure, including AWS services (e.g., EC2, S3, RDS, Lambda).
• Experience with software development best practices, including coding standards, code reviews, testing, and CI/CD pipelines.
• Experience with performance monitoring and observability tools (e.g., Splunk, Datadog).
• Proven ability to mentor and lead junior engineers.

Nice-to-haves

• Experience with Kubernetes and Docker for ML infrastructure tools.
• Strong problem-solving skills with the ability to troubleshoot and debug issues across the stack.

Benefits

• Competitive medical, dental and vision coverage
• Company-paid pension and 401(k) match
• Three weeks of vacation and up to three weeks of paid sick leave
• Nine paid holidays and two personal days
• 20 weeks paid parental leave for any new parent
• Robust mental health resources
• Backup care and caregiver concierge services
• Gender affirming services
• Pet insurance
• Free Post digital subscription
• Leadership and career development programs