Everbridge
Senior Python, Cloud Infrastructure & AI Engineer
A senior hands-on engineer who owns solutions end to end: building and maintaining Python/Django applications and APIs, managing AWS and Linux environments, and improving Jenkins CI/CD and deployment reliability, while using AI-assisted development tools under human review.
- Compensation
- Not disclosed
- Location
- India
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
Nice to have
- Python 2-to-3 upgrades and dependency management
- Ubuntu or Amazon Linux, Packer, AMIs, Gunicorn, Nginx, Apache, or systemd
- AWS services such as S3, SQS, SNS, SES, Kinesis, IAM, Route 53, and CloudFront
- Messaging, notification, GIS, XML, cryptography, or third-party API integrations
- Secure development, secrets management, vulnerability scanning, and production observability
- Supporting high-availability or business-critical systems
Full description
We’re looking for an experienced engineer to own solutions from application code through production. You’ll build and maintain Python applications, manage AWS and Linux environments, improve CI/CD and deployment reliability, and use AI-assisted development tools to deliver software safely.
This is a hands-on role spanning application development, cloud infrastructure, deployments, and production support.
What You’ll Do
- 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.
What You’ll bring
- 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.
Additional experience we value
- Python 2-to-3 upgrades and dependency management.
- Ubuntu or Amazon Linux, Packer, AMIs, Gunicorn, Nginx, Apache, or systemd.
- AWS services such as S3, SQS, SNS, SES, Kinesis, IAM, Route 53, and CloudFront.