Senior Software Engineer - Universal Search

What You’ll Do

If you were on our team last week, you might have:

• Led end-to-end system design for a new universal search experience across RMS, CAD, and other core components, collaborating with Product and cross-functional engineering teams to ensure a scalable, secure, and user-friendly solution that spans domains.
• Extended platform configurability and connectivity to tap new search data sources using AI-powered coding tools to accelerate development while maintaining high standards for code quality.
• Reviewed pull requests for enhancements to our authorization layer and index mappings in configurations, providing detailed architectural and performance-focused feedback to improve clarity, maintainability, and system resilience.
• Acted as release manager, coordinating deployment logistics, validating release readiness, and ensuring smooth, downtime-free updates to production through clear cross-team communication.
• Owned the end-to-end delivery of a feature supporting permission-aware global search filtering, aligning closely with Product, Infrastructure, and Design from technical feasibility through post-release monitoring.
• Mentored junior engineers, pair-programmed through complex debugging sessions, and coached teammates on prioritizing technical debt while delivering roadmap commitments.
• Participated in the on-call rotation, triaged and resolved a spike in failed search queries, and led a structured Root Cause Analysis (RCA) to drive follow-up improvements in system observability and alerting.

What You’ll Need

Must-Haves:

• Proficiency in Java or TypeScript/JavaScript with strong backend development experience.
• Experience integrating and working with third-party systems to support search functionality across domains.
• Familiarity with event-driven architectures using Amazon SNS, Amazon SQS, or Kinesis.
• Strong experience with AWS services such as Lambda, API Gateway, Step Functions, S3, ECS/EKS, DynamoDB, Aurora/RDS, IAM, and CloudWatch.
• Prior experience using AI engines to increase development velocity and deliver results
• Solid understanding of indexing strategies, document schema design, and query optimization.
• Comfort working with CI/CD workflows and Infrastructure-as-Code (IaC) tools in a serverless-first, microservices-based architecture.
• Excellent written and verbal communication skills.

Nice to Have:

• Prior experience working on multi-tenant platforms or large-scale search products.
• Familiarity with public safety or regulated domains.
• Knowledge of security best practices around data access and query auditing.