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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, implementing, and maintaining high-quality applications and APIs, with a strong focus on AI solutions and cloud platforms. Proven ability to collaborate with cross-functional teams and contribute to architectural improvements and technical discussions.
Highest-signal resume keywords
AI Solution DevelopmentAgentic AI PracticesAWS Cloud PlatformsSoftware EngineeringCode Review Participation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentAPI DevelopmentApplication MaintenanceTechnical Issue ResolutionArchitecture Improvement
Soft Skills
CollaborationProblem SolvingConstructive FeedbackEagerness to LearnOwnership of Feature Work
Certifications & Qualifications
Degree in Computer Science
Industry Keywords
SaaS SolutionsEnterprise Grade SoftwareCross-Functional TeamsLarge Code-Base Products
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- Design, implement, test, and maintain product features.
- Collaborate with cross-functional teams to design, develop, and deploy high-quality applications and APIs.
- Participate in technical discussions and provide insights to improve architecture, scalability, and performance.
- Participate in code reviews and provide constructive feedback.
- Investigate and resolve technical issues, ensuring smooth operation of web applications and APIs.
- Develop Everbridge’s agentic AI platform used by its SaaS solution.
Requirements
What you’ll need- Degree in Computer Science or related field, or equivalent work experience.
- 5+ years of experience as a professional software engineer.
- Experience developing AI solutions or an eagerness to learn.
- Experience developing with Agentic AI practices and coding tools.
- A range of software development and delivery experience.
- Interest in solving complex problems that help keep people safe.
- Eager to own feature work and be involved in the details of a feature’s lifecycle.
- Experience in large code-base products or enterprise grade software.
- Experience with cloud platforms, with AWS experience being preferred.