Senior Python, Cloud Infrastructure, AI Engineer

Job not on LinkedIn

🔥 43 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Everbridge

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

Everbridge is a company specializing in critical event management solutions designed to enable organizations to plan, anticipate, mitigate, respond to, and recover from unexpected events. With a broad suite of products including risk intelligence, mass notification, crisis management, and public warning systems, Everbridge is committed to maximizing organizational resilience through their integrated Everbridge 360™ platform. Serving industries such as financial services, healthcare, technology, telecommunications, energy, and government sectors, Everbridge helps over 6,500 global customers manage critical events more effectively. Their solutions ensure workforce safety, protect assets, and maintain business continuity during disruptions, ensuring swift communication and effective management of crises.

📋 Description

• 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