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Senior Python, Cloud Infrastructure & AI Engineer

1 month ago
India
Full-time
Senior
AI Engineer
Software Development
Apache AWS AWS SES CI/CD Django Docker Encryption Jenkins Linux MySQL Nginx Packer Python REST API SaltStack Secrets Management TLS Ubuntu XML
Apply Now
Everbridge

Everbridge

Everbridge provides a comprehensive software platform that automates and enhances organizations' responses to critical events, ensuring the safety of individuals and the continuity of business operations during emergencies such as natural disasters, cy...

Internet Software & Services
1K-5K
Founded 2002
View All Jobs 15

Description

  • Develop and maintain Python, Django, and Django REST Framework applications.
  • 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 with SaltStack, Packer, Docker, and Serverless Framework.
  • Build and improve Jenkins-based CI/CD and release pipelines.
  • Improve reliability through monitoring, canary deployments, rollback, retry, and recovery practices.
  • Manage databases, messaging, authentication, security, and external-service integrations.
  • Manage Python dependencies, runtime environments, package builds, and reproducible deployments.
  • Use and review AI-assisted development tools for coding, refactoring, troubleshooting, security, and documentation.

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.
  • Preferred experience with Python 2-to-3 upgrades, Packer, AMIs, Gunicorn, Nginx, Apache, systemd, AWS services, secure development, observability, and high-availability systems.

Benefits

  • Flexible schedules and personalized training.
  • Comprehensive health and term insurance.
  • Rewards and recognition programs.
  • Collaborative, learning-focused work environment.
  • Purpose-driven career growth and opportunities to make a significant impact.

Interested in this position?

Apply directly on the company website

Apply Now

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