Senior Manager, Cloud Architect (55628)

Who We Are

The Center for Geospatial Solutions (CGS) is a self-sustaining nonprofit enterprise. Founded to help bridge the gap between policy and practice, our mission is to enable people and the planet to meet the pace of change by expanding access to new technologies that power more sustainable and equitable outcomes.

We are a fully remote team of award-winning professionals with decades of applied expertise and end-to-end GIS capabilities. By embracing whole-system thinking and state-of-the-art technology, we enable partners across public, private, and nonprofit sectors to tackle complex, real-world challenges—like housing affordability, ecosystem conservation, water management, and sustainable infrastructure—with greater clarity.

Our work liberates and connects key information, creates nuanced pictures of complex situations, and makes land, water, and social data easier to use, understand, and act on. We use tools like satellite data and artificial intelligence to deliver insights for impact.

At CGS, we believe that technology can be a tool for positive change. We are dedicated to building a diverse team that represents the communities and systems we live and work in. If you’re excited about this role but don’t meet every listed qualification, we encourage you to apply. We value potential, curiosity, and lived experiences, and know a more inclusive team makes us a stronger organization.

About the Lincoln Institute of Land Policy

The Lincoln Institute of Land Policy seeks to improve quality of life through the effective use, taxation, and stewardship of land. A nonprofit, private operating foundation whose origins date to 1946, the Lincoln Institute researches and recommends creative, nonpartisan approaches to land as a solution to economic, social, and environmental challenges. Through education, training, publications, and events, we integrate theory and practice to inform public policy decisions worldwide. We organize our work around three impact areas: land and water; land and fiscal systems; and land and communities. We envision a world where cities and regions prosper and benefit from coordinated land use planning and public finance; where communities thrive from efficient and equitable allocation of limited land resources; and where stewardship of land and water resources ensures a livable future. We work globally, with locations in Cambridge, Massachusetts; Washington, DC; Phoenix, Arizona; and Beijing, China.

Position

Overview

The Center for Geospatial Solutions (CGS) is seeking a Senior Manager, Cloud Architecture to serve as the lead backend and cloud architect for a complex, multi-year federal program, in addition to working on a second program focused on water reservoir system analysis and data interoperability.

Reporting to the Associate Director of Data Engineering, the Senior Manager, Cloud Architecture will serve as the technical and managerial lead for backend development on a federal program, dedicating most of their time to this work. Their remaining time will aid other CGS projects, where this role will contribute in shaping technical strategy and system design across programs. Under the guidance of Data Engineering and Science leadership, they will define scalable backend architecture, shared cloud services, and production systems that support data ingestion, metadata and discovery, large-scale geospatial processing, model execution, quality assurance and validation, and deliver data and services to users and partners, translating program requirements into technical strategy and standards that can extend beyond a single program.

This is a hands-on engineering role that combines backend software development, cloud architecture, platform engineering, DevOps, security, and cost optimization. This role will oversee a small team of backend developers, providing technical direction, empowerment, and mentorship to the team. The successful candidate will work closely with data scientists, AI engineers, GIS professionals, project managers, and external partners to turn complex technical workflows into maintainable, observable, reproducible, and well-governed systems.

What You Will Do:

Federal Backend Architecture and Technical Delivery

• Responsible for backend and cloud engineering work on a federal program, coordinating closely with technical leads, project manager, partner organizations, and federal stakeholders.
• Translate program milestones, analytical workflows, user needs, performance requirements, and partner interfaces into technical architecture, implementation plans, and estimates, documenting decisions and progress where needed.
• Identify architectural dependencies, performance constraints, delivery risks, and technical debt early; recommend practical options and tradeoffs to project and technical leadership.
• Design modular backend architecture that connects data ingestion, cataloging, geospatial processing, machine learning, quality assurance, metadata and discovery, and data or service delivery.
• Define service boundaries, APIs, data schemas, workflow patterns, and integration contracts that allow components developed by multiple teams and partners to work together reliably.
• Build shared platform components and integration layers that reduce duplicative, one-off pipelines and aid reuse across regions, analytical methods, and future CGS projects.
• Design and implement secure, scalable cloud architectures for large geospatial datasets, distributed processing, machine learning, databases, APIs, and backend services.
• Select appropriate combinations of containers, batch computing, serverless services, workflow orchestration, managed databases, and other cloud capabilities based on workload requirements.
• Contribute technical estimates, architecture narratives, implementation plans, progress reporting, and documentation required for a complex federally funded program.

Technical Collaboration & Team Management

• Directly supervise and empower backend data development staff, overseeing their day-to-day work, performance and professional growth.
• Delegate and manage backend implementation work across team to ensure work is scoped appropriately and aligned with overall envisioned architecture.
• Work with leadership to establish cloud and backend engineering practices that are reproducible across projects.
• Communicate technical options, risks, cost implications, and tradeoffs clearly to both technical and nontechnical colleagues.

Backend Software Engineering and Systems Integration

• Design and oversee the implementation of production-quality backend services, APIs, data-access layers, workflow services, and reusable software components using Python or another appropriate language.
• Build services that enhance functions such as data submission and ingestion, metadata management, job scheduling and status, geospatial processing, model outputs, validation status, search and discovery, and data delivery.
• Work with relational and spatial databases, object storage, queues and event systems, caching, API gateways, authentication and authorization, and other backend infrastructure.
• Evaluate when to build, adapt open-source technologies, or use managed services based on mission needs, delivery timelines, security, maintainability, and total cost.

Cloud Infrastructure Management

• Provision and manage compute, object storage, databases, networking, identity and access management, secrets, logging, and related cloud services using infrastructure as code.
• Establish clear tagging, budgeting, cost allocation, and monitoring practices so cloud spending can be understood by project, environment, workload, and program activity.
• Continuously optimize cloud cost and performance through rightsizing, autoscaling, storage lifecycle policies, scheduling, caching, serverless or spot capacity, and other practical FinOps approaches.
• Support separate development, testing, staging, and production environments while maintaining reproducibility and minimizing unnecessary infrastructure expense.

DevOps, Reliability, Security, and Operations

• Design and maintain CI/CD pipelines for infrastructure, backend applications, data workflows, and analytical services.
• Containerize services and workflows using Docker and support orchestration through managed container platforms, Kubernetes, batch systems, or serverless services as appropriate.
• Implement logging, metrics, tracing, monitoring, alerting, backups, recovery procedures, and operational runbooks.
• Implement security controls (least-privilege access, encryption, secrets management) in alignment with CGS and Lincoln Institute security policy.
• Support the technical documentation, access controls, change records, data-handling practices, and other evidence needed for federal, partner, client, and Lincoln Institute requirements.
• Troubleshoot backend, performance, reliability, networking, permissions, data movement, and deployment issues across development and production environments.