Jobs at Metropolis Technologies

Lead application and product security across web, mobile, API, AI/CV, and cloud-native systems. Drive secure SDLC, DevSecOps, CI/CD and supply chain security, threat modeling, tooling/automation, vulnerability remediation, and developer enablement while partnering closely with engineering teams.

Senior Cloud Infrastructure Engineer responsible for designing, building, and operating central cloud infrastructure on AWS; managing observability (Datadog), version control and CI/CD (Git/GitHub); and collaborating closely with product and engineering teams. Role requires regular on-site presence (four days/week) and contributes to platform reliability and scalability.

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL for ad hoc analysis, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog/dictionary, set data quality and governance standards, define SLAs for data products, troubleshoot performance issues, and mentor junior analysts.

Lead end-to-end technical recruiting: source, screen, interview, and close senior engineering talent. Partner with hiring leaders to build pipelines, track metrics, craft job descriptions, manage ATS data, and deliver a white-glove candidate experience in a fast-paced, high-growth environment.

The Manager, Corporate FP&A - Consolidation leads corporate reporting, consolidates financial data, and communicates results. Responsibilities include managing timelines, standardizing reports, and collaborating with various teams to ensure accuracy and strategic output.

Design and maintain scalable backend systems integrating hardware with machine learning. Optimize data processing and deploy microservices for high-performance applications.

Lead technical vision and cross-team initiatives for Network Expansion, architecting and delivering distributed, customer-facing systems. Manage and coach multiple engineering teams, collaborate with product/design/operations, own business outcomes, and improve CI/CD, testing, and production reliability.

The Senior Analytics Engineer designs large-scale data warehouses, builds data pipelines, and provides architectural guidance to ensure data quality and accessibility for decision-making across the company.

Manage and optimize Oracle Cloud EPM, liaise between Finance and data teams, oversee data integration, and improve financial forecasting.

Lead commercial growth and strategy for Metropolis' aviation segment: scale value-added services and B2C/B2B offerings, build partnerships, own 5-year financial plans, establish KPIs and reporting, and drive M&A and industry thought leadership.

Lead the technical evolution of the Incentive Offers platform, architect scalable services, develop identity resolution systems, mentor engineers, and solve complex systems challenges.

Lead the Applied AI organization, architect AI-focused operating models, manage a team of AI engineers, and redesign business processes for improved efficiency and cost savings.

The Senior AI Engineer will design and build AI-powered automation tools, maintain LLM systems, and collaborate with business analysts to enhance processes across various operations.

The Senior Software Engineer will architect and build Metropolis Web Services, focusing on distributed systems and platform infrastructure, optimizing performance, and enabling seamless communication and reliability for various services.

Lead architecture and evolution of billing, payments, and invoicing systems. Design resilient payment processing, monitoring, reconciliation, and integrations while partnering with finance and operations to ensure financial correctness, compliance, and scalability.

As a Senior Data Engineer, you'll design and build data solutions, optimize data pipelines, and ensure data governance while mentoring team members.

Lead the technical vision of ML Engineering, overseeing data infrastructure, ML pipelines, and team management to transition AI models into production.

As a Senior Machine Learning Engineer, you will design and deploy computer vision models, collaborate with teams, and mentor juniors while ensuring high-performance solutions.

Serve as primary relationship manager for airline clients and vendor couriers in baggage logistics. Oversee day-to-day vendor operations, enforce SLAs, lead QBRs, translate data into insights, handle escalations, and partner with Product and Engineering to implement AI-driven operational improvements.

Serve as the post-launch General Manager for major airport partners, ensuring deep integration of Metropolis Vision and related products into airport financial, operational, and commercial systems. Drive revenue growth, upsell/cross-sell, lead executive business reviews, translate client needs into product priorities, and ensure audit-ready financial transparency across platforms while liaising between airport stakeholders and internal teams.