Sr. Full-Stack Engineer
Design and build full-stack features using Next.js and AWS while managing high-volume data systems. Architect end-to-end features and maintain scalable web scraping pipelines for TikTok Shop.
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Design and build full-stack features using Next.js and AWS while managing high-volume data systems. Architect end-to-end features and maintain scalable web scraping pipelines for TikTok Shop.
Design and implement security guardrails for AI-powered products and an AI-first workforce. Automate security workflows and integrate security tooling with LLM layers to surface actionable insights.
Design, implement, and optimize enterprise infrastructure environments supporting legal technology and eDiscovery platforms. Provide end-to-end administration for servers, cloud services, and networking while serving as a technical consultant for customers.
Lead the technical win across the full pre-sales cycle, including discovery, solution design, and PoC delivery. Act as a trusted advisor to customers while bridging field insights back to the product and engineering teams.
Lead the technical direction and end-to-end delivery of the Screening Engine, focusing on Sanctions, PEP, and Adverse Media screening. Design and evolve high-throughput, fault-tolerant distributed systems while collaborating with compliance and risk teams.
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Lead the editorial direction and execution of developer content, including blogs, tutorials, and sample apps. Grow and animate the developer community across Slack, Discord, and GitHub while partnering with founders on product documentation.
Build and operate the data infrastructure and ETL pipelines to track cost, margin, and performance across production systems and vendor APIs. Partner with infrastructure and product teams to define data contracts and implement low-latency analytical write paths.
Architect and drive core AI/LLM infrastructure and features from conception to production for a legal AI platform. Lead the development of systems for complex legal reasoning, document analysis, and the implementation of rigorous legal-grade evaluations.
Design, deliver, and maintain high-load backend web services using Python and FastAPI for a retail media platform. Implement CI/CD pipelines, service observability, and collaborate with cross-functional partners to develop new functionalities.
Design and implement technical systems to drive user acquisition, engagement, and retention for an AI legal platform. Build experimentation frameworks, growth analytics layers, and automated outreach tools to scale the business.
Design and implement secure architectures by integrating security controls into CI/CD pipelines and cloud platforms. Own the application onboarding and identity integration processes to enable secure engineering deployments.
The Field Automation Engineer serves as a post-sales technical partner managing customer onboarding, technical health, and adoption of the Infrahub platform. The role balances direct customer delivery with the creation of reusable engineering assets and AI-assisted delivery patterns.
Lead a cross-functional team to build intelligence products that translate complex e-commerce data into actionable business insights for various stakeholders. Develop and execute a product strategy for reporting and ROI visibility to prove the value of the product discovery platform.
Focus on improving e-commerce search relevance through LLM-based evaluation and real-time quality improvements. Develop automated monitoring pipelines and agentic systems to detect degradations and provide actionable product recommendations.
Architect and implement complex UI components and a scalable design system to bridge the gap between design and engineering. Create intuitive interfaces and prototypes for AI-native legal workflows to improve user experience and performance.
Develop a modern web software featuring 2D/3D views, computer vision, and AI for a new visual inspection product line. Responsibilities include designing SPA applications, creating Node.js services, and implementing DevOps CI/CD pipelines.
Act as the primary technical owner for building AI agent capabilities for enterprise customers in the regulated financial system. Bridge the gap between customer needs and product development by architecting, deploying, and refining software solutions.
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Serve as the frontline technical expert helping users deploy and scale Temporal in cloud-native environments. Troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions to improve the developer experience.
Design and build robust agentic AI workflows and scalable full-stack services for healthcare platforms. Lead technical direction through roadmaps and mentor engineers to ensure operational excellence and high-quality software delivery.
Own the growth and performance of a portfolio of large, regulated partner accounts by driving revenue expansion and deepening relationships. Act as a hybrid leader who can both manage commercial strategy and technically build and ship growth interventions.
Configure and maintain Jira workflows, projects, and issue tracking systems to support a scalable data ecosystem for a DoD customer. Integrate Jira with DevOps tools like GitLab and Confluence while collaborating with cross-functional teams to improve system functionality.
Design, develop, and maintain secure cloud-based web applications and APIs within AWS and Azure environments. Ensure all developments comply with FedRAMP and DoD Impact Level security requirements to support a federated data ecosystem.
Design, implement, and manage IAM solutions to ensure secure authentication and access control across cloud and on-premises environments. Enforce Zero Trust Architecture and RBAC policies while managing identity governance and compliance reporting for a DoD customer.
Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning for a DoD customer. Implement Agile sprint cycles to integrate data from multiple sources and optimize analytic workflows.
Implement customer-specific requirements and develop front-end and back-end applications within S/4HANA projects. Provide end-to-end support across the software development lifecycle and offer technical consulting on SAP development topics.
Develop and maintain the k0s project under the CNCF umbrella and integrate new cloud-native features into Mirantis products. Act as a subject matter expert and evangelist for container technologies within the company and the broader community.
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Develop and sustain a scalable, federated data ecosystem using Kubernetes and CI/CD pipelines for a DoD customer. Coordinate cloud resource usage and implement security hardening and RBAC policies across various IL environments.
Design, deploy, and maintain secure AWS and Azure GovCloud environments to support a federated data ecosystem for a DoD customer. Manage cloud networking, identity access, and infrastructure automation while ensuring compliance with security frameworks.
Configure, deploy, and maintain Kubernetes clusters across various IL environments to support a scalable data ecosystem for a DoD customer. Develop Helm charts and integrate monitoring and logging solutions to ensure observability and compliance for ESRI services.
Design and maintain geospatial data visualization solutions and operational dashboards integrated with cloud platforms. Oversee the integration of geospatial AI/ML models to enhance mission-driven analytics for a DoD customer.
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