• Design, develop, test, deploy, and maintain complex, scalable, and critical backend systems and services capable of handling massive data volumes and high query loads. • Take full ownership of challenging technical projects, driving them from initial concept through to production and ongoing iteration. • Engage with a variety of technical domains, including: Building and evolving RESTful APIs and backend services. • Modifying, extending, and optimizing complex open-source software (e.g., Trino). • Implementing and managing sophisticated identity federation solutions (e.g., Keycloak). • Developing and operating large-scale data ingestion pipelines (e.g., using Airflow). • Enhancing and automating deployment processes (CI/CD) using technologies like Kubernetes. • Collaborate effectively within a team of experienced engineers, contributing to a culture of shared knowledge and mutual respect. • Apply strong problem-solving skills to diagnose, debug, and resolve complex technical issues, ensuring system reliability and performance. • Champion pragmatic and robust solutions, adapting quickly to new technologies and evolving business needs. • Operate with a high degree of independence in a low-process environment, taking initiative and driving results. • Other duties as assigned.

• Embed directly within product engineering teams to drive measurable improvements in developer productivity by integrating AI into daily workflow design, coding, testing, deployment, and operations • Lead tool selection and adoption strategy for AI development platforms (GitHub Copilot, Claude Code, Cursor, etc.), establishing best practices for prompt engineering, context management, and workflow integration • Build and maintain custom AI tooling, MCP servers, and integrations that provide teams with domain-specific context from your codebase, documentation, infrastructure, and business systems • Develop and socialize reusable patterns for code generation, refactoring, test automation, incident analysis, and knowledge retrieval that teams can apply across their daily work • Implement AI code review and validation practices to ensure AI-generated code meets security, quality, and HIPAA compliance standards • Champion a culture of AI-augmented development that enables engineers to tackle bigger challenges, improve code quality, and reduce toil—without sacrificing maintainability or creating technical debt • Create self-service documentation, learning paths, and enablement programs (workshops, office hours, communities of practice) to scale AI adoption across engineering • Measure and communicate impact using both quantitative metrics (velocity, quality, time-to-deployment) and qualitative measures (developer satisfaction, cognitive load reduction, friction logging) • Lead application-level infrastructure-as-code initiatives, empowering product teams to own their cloud resources (containers, SQS, Lambda, DocumentDB, DynamoDB, etc.) • Design reference architectures and terraform/CDK patterns that balance team autonomy with consistency and security • Partner with the enterprise DevOps team to establish clear boundaries—they own foundational infrastructure (VPCs, security groups, IAM foundations), you enable teams to own application-layer resources • Build proof-of-concepts and migration playbooks as GHX transitions from lift-and-shift EC2 environments to truly cloud-native architectures • Manage engineers on cloud-native design patterns, observability, cost optimization, and operational excellence • Provide direction, hands-on execution to grow an engineering team • Work closely with product managers, engineering leaders, and cross-functional partners to translate business needs into practical AI and infrastructure solutions • Establish metrics and feedback loops to continuously improve both AI adoption and cloud-native maturity • Balance innovation with pragmatism—championing new approaches while ensuring solutions scale sustainably.

• Collaborate with the Director of Mobile and the engineering team to design, build, and refine innovative iOS applications. • Develop complex and dynamic user interfaces, ensuring seamless functionality and an exceptional user experience. • Contribute to the full software development lifecycle, from design and implementation to production and maintenance. • Play a key role in shaping Fi’s mobile development strategy and best practices.

About the Role We are seeking a Full Stack Engineer to join our team and provide technical support for a eAuthoring application. This role is critical for one of our top clients. The eAuthoring application leverages Large Language Models (LLM) to summarize content, tag for better organization, automate repetitive tasks, and create initial drafts of documents. Technologies: We would need someone with full stack experience. On the front end React and the backend Python. AWS cloud experience and experience with LLMs would also be helpful Location: EST Timezone