Senior Python, Cloud Infrastructure, AI Engineer
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Job Description
Senior Python engineer building backend services, cloud infrastructure, and AI-assisted workflows for Everbridge’s critical-event management platform. Improving reliability, deployments, and mission-critical integrations.
Responsibilities:
- Develop and maintain applications using Python, Django, and Django REST Framework
- Build APIs, background workers, integrations, and AWS Lambda functions
- Support legacy Python applications and Python 3.x environments
- Manage AWS services, Linux environments, application servers, and deployments
- Maintain infrastructure automation using SaltStack, Packer, Docker, and Serverless Framework
- Build and improve Jenkins-based CI/CD and release pipelines
- Improve system reliability through monitoring, canary deployments, rollback, retry, and recovery practices
- Maintain database, messaging, authentication, security, and external-service integrations
- Manage Python dependencies, runtime environments, package builds, and reproducible deployments
- Use AI tools for code analysis, development, refactoring, troubleshooting, and documentation
- Review AI-generated work through human review, security checks, and engineering approval
- Collaborate with frontend, product, QA, and platform engineering teams
Requirements:
- 7+ years of software engineering experience
- Strong expertise in Python, Django, and Django REST Framework
- Hands-on AWS experience, particularly with Lambda and event-driven services
- Experience managing Linux-based application environments
- Strong knowledge of CI/CD, Jenkins, Docker, deployment automation, and production support
- Experience with SaltStack or a similar configuration-management tool
- Knowledge of MySQL or RDS, REST APIs, queues, authentication, TLS, and application security
- Practical experience with AI coding assistants, LLMs, or AI-enabled engineering workflows
- Strong debugging, problem-solving, communication, and ownership skills
- Python 2-to-3 upgrades and dependency management
- Experience with Ubuntu or Amazon Linux, Packer, AMIs, Gunicorn, Nginx, Apache, or systemd
- Experience with AWS services such as S3, SQS, SNS, SES, Kinesis, IAM, Route 53, and CloudFront
- Experience with messaging, notification, GIS, XML, cryptography, or third-party API integrations
- Experience with secure development, secrets management, vulnerability scanning, and production observability
- Experience supporting high-availability or business-critical systems
Benefits:
- Flexible schedules
- Personalized training
- Comprehensive benefits, including health and term insurance
- Rewards and recognitions
- Continuous learning and professional development opportunities
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