Lead technology strategy, operations, and security for a global nonprofit, overseeing AWS, Google Workspace, cybersecurity, AI integration, and vendor management.
Locations (3)
Washington, District of Columbia, United States
Maryland, United States
Virginia, United States
Compensation
The anticipated salary range for this position is approximately $149,600.00 - $194,500.00.
Responsibilities
Develop and implement multi-year technology strategy
Lead and mentor an eight-person IT team
Advise executive leadership on technology priorities
Oversee AWS cloud infrastructure and Google Workspace ecosystem
Ensure reliability of global networks and cloud resources
Design and own distributed systems that span services, clusters, and cloud environments, architect backend systems and infrastructure for high‑concurrency workloads, build and operate infrastructure across multiple cloud providers, and define observability strategies.
Responsibilities
Design and own distributed systems that span services, clusters, and cloud environments.
Architect backend systems and infrastructure for high‑concurrency, high‑throughput workloads.
Build systems for scheduling, coordination, and execution of large‑scale simulation workloads.
Design data flows and storage systems for large‑scale, latency‑sensitive workloads.
Drive system architecture decisions across backend and infrastructure layers.
Requirements
Bachelor's degree in a relevant field (e.g. computer science) or equivalent practical experience
Support advanced analytics and data modeling across medium to large datasets, focusing on data cleaning, visualization, Neo4j graph database technologies, and developing solutions in programming languages such as Python or Java.
Compensation
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Clean and preprocess medium to large datasets to ensure accuracy, usability, and reliability.
Visualize and analyze data using appropriate tools and statistical/analytical methods.
Develop and optimize Neo4j graph database solutions, including writing efficient Cypher queries and modeling relationships and graph structures to support analytics/use cases.
Develop software components in at least one programming language (e.g., Python or Java).
Work within cloud infrastructure in a high-security environment (classified), following security and compliance requirements.
Own key components of a dynamic pricing system, design experiments, build monitoring and guardrails, and collaborate with product and commercial teams to improve pricing decisions.
Compensation
Salary: Competitive. We are looking to pay £115,000 or equivalent in local currency.
Responsibilities
Own key components of dynamic pricing
Design experiments and holdouts
Build monitoring, alerting and guardrails
Make pricing decisions reproducible
Collaborate with Price Quoting squad and ML Platform
Lead the design and implementation of production-grade AI agent systems, including backend services, orchestration, retrieval, evaluation, observability, and deployment.
Own the technical design and implementation of AI agent systems
Build robust backend services, APIs, adapters, and connectors
Design agent workflows involving tool use, routing, state management, memory, retrieval, human-in-the-loop steps, and controlled multi-step execution
Develop retrieval and knowledge-grounding capabilities, including RAG pipelines, SQL-based agents, web search, reranking, citation, and context management
Define and implement evaluation strategies using representative datasets, golden tests, failure taxonomies, regression testing, human review, and production feedback
Requirements
Master’s degree in Computer Science, Software Engineering, or a related technical field
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