Senior Software Engineer I – Backend & AI-Enabled

Everbridge; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Everbridge is seeking a Senior Software Engineer I to design and build scalable, cloud-native backend services. You will work on mission-critical voice processing and collaborate with frontend, product, QA, and platform teams to deliver end-to-end product experiences.

You will leverage AI-assisted development practices to accelerate coding, testing, and reviews, while ensuring reliability, security, and performance across distributed systems.

Qualifications

• 5+ years of professional software engineering experience building enterprise-grade applications.
• Strong expertise in Java and Spring Boot development.
• Strong expertise in Infrastructure as Code (IaC), with hands-on experience using Salt and Terraform.
• Experience designing and building cloud-native backend systems using RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies.
• Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles.
• Experience with cloud platforms such as AWS.
• Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices.
• Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms.

Responsibilities

• Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot.
• -
• Develop and maintain Infrastructure as Code (IaC) using Salt and Terraform to provision, manage, and support AWS infrastructure for SaaS applications.
• -
• Build and evolve RESTful APIs, microservices, and event-driven systems that support business-critical workflows.
• -
• Collaborate with cross-functional teams, including frontend engineers, to deliver seamless end-to-end product experiences.
• -
• Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security.
• -
• Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization.
• -
• Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives.
• -
• Support production systems through on-call participation, incident management, and continuous service improvements.
• -
• Mentor and support engineers through code reviews, technical guidance, and knowledge-sharing activities.

Skills

Java

Spring Boot

Distributed systems

RESTful APIs

Microservices

Docker

Kubernetes

AWS

CI/CD

Agile/Scrum

AI-assisted development

Tools

Salt

Terraform

GitHub Copilot

Cursor

Claude Code

Codex

Windsurf

Job description

We are looking for a Senior Software Engineer I who is passionate about building scalable, reliable, and cloud-native software systems. While this role is primarily focused on backend engineering, we are seeking engineers who are comfortable contributing across the stack when needed and are excited to leverage AI-powered development tools to accelerate delivery and innovation.

You will play a key role in designing and developing backend services that power mission-critical voice processing application while collaborating closely with frontend, product, QA, and platform engineering teams. We value engineers who can adapt quickly, learn continuously, and use modern AI-assisted development practices to improve productivity and software quality.

What You’ll Do

• Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot
• Develop and maintain Infrastructure as Code (IaC) using Salt and Terraform to provision, manage, and support AWS infrastructure for SaaS applications
• Build and evolve RESTful APIs, microservices, and event-driven systems that support business-critical workflows
• Collaborate with cross-functional teams, including frontend engineers, to deliver seamless end-to-end product experiences
• Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security
• Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization
• Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives
• Support production systems through on-call participation, incident management, and continuous service improvements
• Mentor and support engineers through code reviews, technical guidance, and knowledge-sharing activities

What you’ll bring

• 5+ years of professional software engineering experience building enterprise-grade applications
• Strong expertise in Java and Spring Boot development
• Strong expertise in Infrastructure as Code (IaC), with hands-on experience using Salt and Terraform
• Experience designing and building cloud-native backend systems using RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies
• Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles
• Experience with cloud platforms such as AWS
• Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices
• Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms
• Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards
• Interest in continuously learning and applying emerging AI-assisted development practices
• Excellent problem-solving, debugging, and analytical skills
• Experience with observability, monitoring, and production support practices
• Ability to work effectively in Agile/Scrum environments

Nice-to-Have Experience

• Working knowledge of and modern frontend development practices
• Building AI-enabled applications, agents, automation workflows

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.