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.