Job Description

Our flagship product, BLTN , is a game-changer. It transforms siloed law-enforcement bulletins and investigative intel into a searchable, AI-powered network that connects cities, counties, and states. Agencies use BLTN to create, share, and link critical information in real time—surfacing patterns that analysts and detectives often miss and accelerating case resolution across jurisdictions.

We’re growing fast, backed by top-tier investors, and expanding nationally with customers from Boston to Seattle to Orange County. Our mission is simple and profound: We give law enforcement the clarity and confidence to protect the public. Our technology turns information into awareness and awareness into action.

Role Overview

The Senior Cloud Engineer designs, builds, and operates AWS infrastructure that powers containerized services on ECS, data workloads on Aurora and OpenSearch, and a large ecosystem of Lambda-based post-processing services. The role focuses on reliability, security, performance, and developer productivity across this AWS platform.

Mission Objectives

These are the decisive outcomes that define success in the first 12–18 months:

1.Build a World-Class Cloud Foundation

• Establish a modern, production-grade cloud architecture using Infrastructure as Code (Terraform)
• Enable fast, safe, and repeatable infrastructure changes by embedding IaC into CI/CD pipelines
• Improve deployment confidence, consistency, and velocity across environments

2. Optimize and Control Cloud Spend

• Identify and eliminate unnecessary cloud costs while maximizing performance
• Leverage cost-efficient options such as Reserved Instances and Savings Plans
• Evaluate and adopt managed AWS services where they reduce operational overhead and risk
• Achieve full cost visibility through standardized tagging
• Proactively control spend with budgets and automated alerts tied to financial targets

3. Strengthen Security and Compliance Posture

• Validate and harden IAM permissions to ensure least-privilege access
• Centralize logging to improve auditability, incident response, and visibility
• Assess and improve network design to reduce attack surface and improve resilience

4. Future-Proof Performance and Scalability

• Enhance observability with robust performance monitoring and on-call integration
• Identify architectural gaps that could impact reliability or scale
• Anticipate and address future growth constraints before they impact customers

Experience

• 5+ years in cloud engineering/DevOps with significant hands-on AWS experience.
• Strong experience running containerized workloads on ECS (Fargate or EC2), including task definitions, service autoscaling, and load balancing.
• Hands-on experience operating RDS Aurora, including backups, parameter tuning, and performance troubleshooting.
• Practical experience managing and tuning OpenSearch/Elasticsearch clusters for search and analytics workloads.
• Experience with distributed tracing, metrics, and logging for ECS, Lambda, Aurora, and OpenSearch (e.g., CloudWatch, X-Ray, Datadog, etc.).
• Familiarity with security frameworks such as SOC 2, CJIS, NIST 800-53, and/or other compliance frameworks

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