Top Engineering Jobs

Own the architecture and technical direction of Metropolis Recognition Platform, spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Design scalable streaming pipelines, rules systems, privacy and consent models, observability, testing, and progressive delivery. Lead RFCs, cross-functional alignment, architectural reviews, mentorship, and production quality across application, computer vision, data, security, platform, and partner teams.

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

Design and build foundational web services, service mesh infrastructure, developer tooling, CI/CD automation, and highly reliable distributed systems. Architect scalable APIs and data consistency patterns, optimize high-throughput systems, establish observability and reliability practices, and mentor engineers. The role supports millions of transactions across mobility products and requires collaboration across application, infrastructure, and advanced technology teams.

Design and scale Go-based microservices and edge platform services spanning Nvidia hardware, Linux/Yocto systems, AWS, and Kubernetes. Improve system reliability, memory and latency performance, observability, and telemetry. Lead architecture reviews, migrations, debugging, and cross-functional collaboration while mentoring engineers and using AI-assisted development tools.

Design and lead backend services for Metropolis’s incentive and rewards platform. Build real-time event-driven systems, compliance and preference services, personalized decisioning frameworks, identity systems, attribution tools, and scalable eligibility and partner configuration services. Collaborate with Product, Marketing, and Data on the technical roadmap, mentor engineers, lead technical discussions, and manage the full software development lifecycle through production deployment.

Build and own scalable full-stack mobility platform features across databases, backend APIs, and user interfaces. Collaborate with UX, product, and engineering teams to deliver high-quality experiences for high-throughput environments. Lead projects from inception through production, improve performance and reliability, champion engineering best practices, mentor junior engineers, and evaluate tools and frameworks for continuous platform improvement.

Own platform-wide reliability engineering for 99.9%+ uptime. Design failover, multi-region deployments, database replication, disaster recovery, observability, synthetic monitoring, SLO alerting, incident management, chaos engineering, and resilience patterns. Build dependency mirrors and automation while influencing architecture and establishing reliability standards across teams. The role requires expertise in distributed systems, AWS, databases, Datadog, JVM performance, Java or Scala, and production operations at scale.

The Senior Software Engineer will design and build backend services for the AeroParker platform, mentor engineers, and drive product direction while ensuring system reliability and security.

Design, build, and maintain scalable backend services in Java/Scala integrating hardware and ML. Implement gRPC APIs, use Redis/MySQL/PostgreSQL, deploy microservices on Kubernetes, and build event-driven pipelines with Kafka. Collaborate with hardware, ML, and operations teams to optimize performance, reliability, and scalability.