Remote Edge Computing Jobs in New York (NOW HIRING)

• Lead technical discovery sessions with federal customers and government stakeholders to scope requirements, define success criteria, and translate mission needs into actionable solution architectures.
• Design scalable, secure, and high-performance architectures that align with federal compliance standards, security requirements, and customer-specific needs.
• Build and deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate technical approaches and demonstrate solution value in government environments.
• Own end-to-end technical documentation, including architecture diagrams, technical specifications, integration guides, and deployment runbooks tailored for federal deployments.
• Drive technical alignment across sales, engineering, and product teams throughout the solution lifecycle.
• Guide solution implementation from initial design through deployment, ensuring smooth handoff to customer success and support teams.
• Evaluate and integrate third-party tools, APIs, and platforms into customer solutions to meet functional, non-functional, and security requirements.
• Contribute to internal knowledge bases, reference architectures, and reusable solution patterns for federal engagements.

• Active Top Secret security clearance (required)
• Demonstrated experience in solution architecture, pre-sales engineering, or technical consulting with a track record of designing and delivering enterprise-grade systems for federal or defense customers.
• Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure Government) and cloud-native design patterns in government environments.
• Strong proficiency in Python with experience building production-quality applications and automation.
• Expert-level understanding of system integration patterns, including RESTful and GraphQL APIs, webhooks, and event-driven architectures.
• Solid understanding of SQL and database operations (e.g., query optimization, schema design, transactions).
• Ability to lead technical discussions and present complex architectures to both technical and non-technical audiences, including government stakeholders.
• Baseline understanding of AI/ML concepts (e.g., ML workflows, data pipelines, NLP, or RAG) and data science engineering practices.
• Experience with orchestration frameworks, LLMs, or knowledge retrieval systems.
• Familiarity with MLOps practices, such as model versioning, deployment pipelines, experiment tracking, and model monitoring.
• Experience with FedRAMP, FISMA, or other federal compliance frameworks.
• Exposure to additional programming languages or technology stacks is a plus
• Strong problem-solving skills with the ability to analyze ambiguous requirements and propose effective solutions.
• Experience with Agile methodologies and DevOps/CI-CD practices.
• Strong written and verbal communication skills, with an emphasis on technical documentation.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.