Senior Software Engineer

Everbridge

5h•Remote

About The Position

Everbridge is a global leader in critical event management, helping organizations and governments respond to the moments that matter most. We are looking for a Senior Software Engineer to join our team and play a key role in building and scaling the systems that keep people safe and businesses running. This is a fully remote role (US-based) where you will work on highly scalable, mission-critical SaaS systems at the intersection of backend engineering, cloud infrastructure, and data platforms. In this role youâll help you will help design and operate systems that must be highly available, resilient, and performant at scale. Your work will directly impact how customers rely on Everbridge during critical events, where reliability and speed are non-negotiable.

Requirements

7+ years of experience building and operating production-grade software systems, ideally in SaaS environments
Strong experience with distributed systems and scalable architectures
Proficiency in Java and experience building backend services
Hands-on experience with AWS and infrastructure automation (Terraform)
Experience owning systems in production, including performance, reliability, and incident management
Familiarity with data platforms (Snowflake or similar) and data-intensive systems
Solid understanding of Linux, networking, and system design fundamentals
Experience with observability tools such as Datadog, Prometheus, or similar
Ability to influence technical direction and collaborate across teams

Responsibilities

Lead the design and delivery of scalable, distributed systems powering a high-availability SaaS platform
Build and evolve backend services and platform components using Java and cloud-native architectures
Own and improve system reliability, performance, and scalability across AWS environments
Define and implement infrastructure as code (Terraform) to enable consistent, repeatable deployments
Drive technical strategy and architectural decisions in partnership with engineering leadership
Establish and enhance observability practices including monitoring, alerting, and tracing
Lead incident response and postmortems, turning learnings into long-term reliability improvements
Optimize and scale our Snowflake data platform, improving performance and cost efficiency
Partner with data teams to support robust, scalable data pipelines and analytics (Looker)
Improve CI/CD pipelines and developer workflows to increase velocity and quality
Mentor engineers and help elevate engineering standards and best practices across teams