Job description

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. What You Will Need: • Undergraduate degree or equivalent professional experience in computer science, software engineering, information systems, engineering, geography, or a related technical field. • 5+ years of experience in backend software engineering, cloud engineering, platform engineering, DevOps, site reliability engineering, or a closely related role. • 5+ years of experience solving geospatial cloud architecture problems. • 2+ years of experience successfully empowering and developing staff. • Demonstrated experience designing and building production backend services, APIs, data platforms, or distributed systems using Python or another modern programming language. • Strong hands-on experience designing, deploying, and operating production workloads in AWS, GCP, or other cloud platforms. • Experience architecting data-intensive or compute-intensive systems that must process large volumes of data reliably and efficiently. • Demonstrated experience with AWS services such as S3, Batch, ECS or EKS, Lambda, Step Functions, RDS or Aurora, API Gateway, IAM, and CloudWatch. • Experience with relational databases and SQL, including data modeling, query optimization, and application integration; PostgreSQL or PostGIS experience is particularly relevant. • Working knowledge of Esri enterprise GIS architectures, with the ability to support licensing decisions, enterprise deployments, and alignment of Esri products and user access with organizational needs. • Working knowledge of geospatial data standards and architecture (e.g., OGC standards) and how they inform system design. • Experience with infrastructure as code, CI/CD, containers, Linux, automated testing, deployment automation, and production monitoring. • Working knowledge of cloud networking, identity and access management, secrets, storage, compute, databases, queues, APIs, and observability. • Demonstrated experience analyzing and optimizing cloud performance and cost, including the ability to explain cost drivers and recommend practical improvements. • Experience with Git/GitHub and collaborative software-development practices, including code review and technical documentation. • Strong troubleshooting, systems-thinking, and communication skills, including the ability to explain architecture, risks, and tradeoffs clearly. • Ability to work effectively with multidisciplinary teams and external partners in a fast-moving, fully remote environment. • U.S. Citizen, or legally authorized to work in the U.S. with no need for future sponsorship. Helpful Experience (Nice to Have): • Experience working with geospatial APIs and data interoperability standards such as pygeoapi • Experience building backend systems for Earth observation, environmental modeling, raster processing, scientific computing, or other large-scale analytical workflows. • Experience with workflow and data orchestration tools such as Airflow, Prefect, Dagster, Argo, or comparable technologies. • Experience with MLOps, model registries, experiment tracking, GPU workloads, distributed training, or scalable inference. • Experience supporting government or federally funded programs and associated security, documentation, reporting, data-handling, or compliance requirements. • Experience with metadata catalogs, data discovery systems, provenance, persistent identifiers, or interoperable data services. • AWS certification or demonstrated experience with FinOps, disaster recovery, production incident management, or security architecture. • Experience supporting government, nonprofit, consulting, or mission-driven technical projects. Compensation Overview The salary market range for this role is $96,000-$115,000 depending on level of education, years of experience, and other relevant qualifications. Please be sure to review our benefits overview below as the four-day workweek, 15% retirement, the Institute paying 90-95% of the medical plan costs and 100% the dental plan costs create a total compensation package for this role between $130,000 - $155,000 roughly. A member of HR would be happy to make a side-by-side comparison of your benefits to help with your assessment of this opportunity compared to others. How to Apply Please submit a cover letter and resume directly on the Lincoln Institute’s website. The cover letter should succinctly describe your interest in joining the CGS team; why you are qualified for the role; and what relevant expertise and experience you offer. Applications will be considered on a rolling basis until the position is filled. Our Benefits Include but are not limited to (a) 3x employer contribution towards retirement matching your employee contribution up to 15%, (b) health insurance, (c) dental insurance, (d) vision insurance, (e) 100% reimbursement of the health care deductible through a health reimbursement account, (f) short-term disability coverage, (g) long term disability coverage, (h) paid parental leave, (i) voluntary insurances such as accident insurance, (j) health care flexible spending, (k) dependent care flexible spending, (l) paid time off for holidays, vacation, personal, sick, bereavement, and jury duty, (m) office closure between December 24 – Jan 1 each calendar year, (n) flexible schedule and option for a compressed 4 day workweek, (o) tuition and staff development reimbursement, (p) pet insurance, and (q) Employee Assistance Program. Our Values Cooperation and Teamwork, Forthright Feedback, Initiative, Acceptance of Responsibility, Multicultural Sensitivity Equal Opportunity Employer The Lincoln Institute of Land Policy is dedicated to creating an inclusive work environment by hiring, training, promoting, and carrying out personnel procedures with respect to compensation, benefits, transfers, layoffs, or terminations, on the basis of individual merit, experience, and ability without regard to race (including traits historically associated with race such as hair texture, length of hair, protective hairstyles or cultural or religious headdresses), color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), ancestry, citizenship status, gender identity or expression, genetic information, marital or domestic/civil partnership status, physical or mental disability, sexual orientation, veteran status, military service, serious medical condition, expunged juvenile record, personal appearance, family responsibilities, matriculation, political affiliation, status as a victim, credit information, homelessness status, reproductive health decision making, or any other characteristic protected by law or otherwise. Pay Transparency Nondiscrimination Provision Lincoln Institute of Land Policy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. Non-Smoking Organization Lincoln Institute of Land Policy is a Non-Smoking organization. Smoking and the use of tobacco products are prohibited at all times and on all property owned, leased, or under the control of Lincoln Institute of Land Policy at all times, including, but not limited to indoor and outdoor grounds, walkways and sidewalks, parking lots, company vehicles, and private vehicles parked on Lincoln Institute of Land Policy property. MA Polygraph Statement It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Must-haves

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.
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.
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonapici/cddockerkubernetesawsgcpsql

Platform: paycom
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

Paid Time Off

Parental Leave