AWS Security is looking for a driven professional to join its US ADC Security Engineering team to support the development of tools and automation in support of Amazon Dedicated Clouds (ADCs) and Cleared Programs.
Compensation
USA, VA, Herndon - 143,700.00 - 194,400.00 USD annually
Responsibilities
Architect and implement enterprise-scale security solutions from conception to production
Design and develop high-availability distributed software with emphasis on security, scalability, and fault tolerance
Architect and implement zero-trust security models for critical infrastructure components
Design and build custom APIs and middleware solutions for security system integration
Develop advanced automation frameworks for infrastructure as code (IaC) deployment and configuration management
Requirements
Bachelor's degree
Nice to have: full software development life cycle
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Build and deploy AI applications that improve spacecraft engineering, manufacturing, and services as part of the AI Strike Team.
Responsibilities
Embed with users to observe actual work, map handoffs and bottlenecks, establish baselines, and define a feasible MVP with the Product Lead and domain owner.
Build application interfaces, backend services, APIs, and workflow automation.
Integrate enterprise and engineering systems through reusable connectors, APIs, and data transformations.
Implement retrieval-augmented generation, structured outputs, and tool calling with grounded answers, citations, and explicit human approval where needed.
Create representative evaluation cases and regression tests.
Define and document data architecture solutions for omnichannel marketing campaigns, serve as data expert for project and brand teams, and design and maintain data pipelines and warehouses.
Responsibilities
Define and document data architecture solutions, including structure, naming conventions, data models, and view architecture
Advise leadership on data structure, nomenclature, and architecture
Design and maintain the views and datasets that power omnichannel campaigns
Develop and maintain sophisticated data pipelines to validate, cleanse, and optimize campaign data
Design and advance next-generation data solutions, including campaign data warehouse management and optimization
Requirements
Nice to have: Omnichannel marketing data support
Nice to have: Centralized services across multiple clients
The Platform Engineering Manager defines and governs the architecture, roadmap, delivery standards and operating model for engineering software platforms, automation tools, integrations, and the digital engineering ecosystem.
Locations (2)
Athens, Georgia, United States
Dyersburg, Tennessee, United States
Responsibilities
Define architecture for engineering platforms, automation tools, integrations, and the digital engineering ecosystem.
Prioritize platform work that scales engineering capacity across sites and standardizes how design knowledge is executed.
Manage technical dependencies across software, data governance, and engineering users.
Create the digital backbone needed for repeatable, data-driven decisions and sustainable automation growth.
Own platform roadmap, architecture standards, integration patterns, backlog governance, and release planning.
Requirements
Background in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
The Samizdat team manages the New York Times' GraphQL platform, providing an API layer powering products and internal systems during a period of modernization and scale.
Compensation
The annual base pay range for this role is between: $162,000—$195,000 USD
Responsibilities
Develop new platform offerings while ensuring the reliability, scalability, and performance of our GraphQL platform as it continues to grow.
Lead by example in establishing and enforcing GraphQL schema design and governance best practices, participating in platform-wide schema working groups, and reviewing/mentoring cross-team contributions.
Contribute to the platform's automation, developer tooling, and onboarding/kick-off guides for service adopters and subgraph contributors.
Support on-call, incident response, and troubleshooting efforts for platform-level escalations.
Mentor team members, promoting technical excellence and a culture of respect and constructive feedback.
Develop and operate agentic AI products supporting Small Business Lending, focusing on LLM orchestration, evaluations, and production-ready AI systems.
Responsibilities
Design, build, and deploy machine learning and generative AI solutions to address business needs.
Build agentic AI systems with LLM orchestration frameworks such as LangChain, LangGraph, or similar tools.
Evaluate agent performance with golden and adversarial test sets, LLM-judge rubrics, and evaluation libraries.
Fine-tune SLMs and open-weight models for custom objectives.
Implement and tune safety guardrails, including input/output checks, prompt-injection defenses, PII handling, and spend limits; monitor effectiveness and false-positive impact.
Requirements
Bachelor’s degree
Master's degree
PhD degree in computer science or a data science-related discipline
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