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The role involves building new features for enterprise customers and contributing to the decomposition of a monolith into a service-oriented architecture. Responsibilities include collaborating with Product and Design teams, mentoring peers, and maintaining platform scalability.
Manage the L1 support queue and resolve L2 technical bugs within a proprietary Microsoft stack. Transition into feature development and deeper technical work as codebase familiarity increases.
Develop new and legacy integrations across various platforms and maintain integration flows. Collaborate with other engineers to ensure technical standards and support the stability of the integration ecosystem.
Establish and lead the QA function by building an AI evaluation framework and automated test suites for LLM outputs and backend APIs. Ensure regulatory compliance by producing audit-ready test artifacts and integrating quality gates into CI/CD pipelines.
Establish and operate the SRE practice, including SLO frameworks, on-call rotations, and incident response for banking customers. Define production support structures and set the overall engineering operating system for release rituals and compliance documentation.
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Establish and own the entire QA function, including building an evaluation framework for LLM outputs and setting up CI/CD quality gates. You will design automated test suites for backend APIs and AI workflows while ensuring compliance with SOC 2 standards.
Lead the product strategy and execution for AI-driven Finance and Risk Modeling, focusing on financial services and insurance. Drive 0→1 innovation by identifying and prototyping high-potential AI use cases across multiple domains.
Lead the end-to-end machine learning lifecycle to design and deploy AI-first SaaS products using Large Quantitative Models. This includes building robust data pipelines, developing novel ML algorithms, and collaborating with cross-functional teams to create real-world MVPs.
Develop and maintain full stack software applications and RESTful APIs to support AI/ML and analytic mission operations. Collaborate with cross-functional teams to build user interfaces and implement automated testing and CI/CD pipelines.
Lead the design and implementation of complex full-stack systems and AI/ML platforms for national security missions. Provide technical leadership, architectural guidance, and mentorship to junior developers while managing CI/CD pipelines.
Build and optimize marketing automation solutions across email, SMS, and digital patient engagement journeys. Develop dynamic content and maintain integrations between Salesforce Marketing Cloud and external systems using APIs.
Drive business growth by building strong customer relationships and leading strategic sales campaigns for Cortex and Cloud solutions. Collaborate with core sales teams, sales engineers, and alliances to deliver tailored cybersecurity value propositions to Enterprise accounts.
The role involves demonstrating the Gremlin platform to potential customers and leading proof-of-concepts to drive technical wins. Additionally, the architect consults with existing customers to design reliable architectures and implement reliability experiments.
Lead the GTM Technology organization to accelerate AI adoption across Elastic's go-to-market motion. Oversee four functional teams including Engineering, Data Science, Customer Data Strategy, and Application Administration to solve GTM problems at scale.
Lead an Agile team in developing secure data exchange, integration, and analytics solutions for a modernized DoD enterprise system. Oversee the design of RESTful APIs, data migration from legacy systems, and the delivery of optimized cloud-hosted database services.
Develop and maintain scalable fullstack software systems using Typescript, React, and Node within an AWS environment. Collaborate on complex web application architecture and provide coaching to junior developers.
Act as the primary strategic partner for enterprise customers post-sale to ensure successful implementation and value realization of AI-driven decision-making. Coordinate cross-functional teams to translate complex business problems into product configurations and identify opportunities for account expansion.
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Manage end-to-end agentic-enabled client support and drive platform adoption through guidance on prompting and workflows. Synthesize client feedback for product teams and investigate technical platform issues with rigor.
Define and drive the enterprise infrastructure architecture strategy, including the creation of future-state roadmaps and modernization initiatives. Lead the adoption of cloud, automation, and AI-enabled solutions to improve scalability, resiliency, and operational efficiency.
Design and maintain scalable ETL/ELT data pipelines and orchestration workflows using Python and DBT. Optimize the Elastic Hierarchy data framework and support data operations across SaaS and on-premise hybrid environments.
Build and maintain scalable full-stack applications and APIs using TypeScript, Node.js, and React for a mental healthcare platform. Own features from concept to production while collaborating with cross-functional teams to improve system performance and reliability.
The Remote Broadcast Engineer is responsible for setting up and testing broadcast equipment in the field, ensuring systems are operational prior to broadcast. This includes managing transmission paths, troubleshooting equipment, and collaborating with broadcast partners.
Design and maintain scalable test automation frameworks for web and mobile applications while integrating AI-powered quality engineering tools. Collaborate with product engineering squads to shift quality left and ensure high-reliability releases for member-facing healthcare products.
Build and own the analytical infrastructure for the GTM engine, translating data from Sales, Marketing, and Customer Success into actionable insights. This includes owning recurring reporting, designing scalable dashboards, and automating manual processes to improve operational efficiency.
The Lead Sales Engineer will partner with the Enterprise sales team to understand complex business needs and showcase Fivetran's data replication solutions. They are responsible for delivering technical presentations and managing the proof-of-value process to ensure technical wins.
Build, validate, and deploy statistical and machine learning models including anomaly detection and generative AI. Collaborate with cross-functional teams to translate strategic business questions into scalable, production-ready data solutions.
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The Enterprise Architect serves as the primary technical lead for customers, designing customized technology strategies that align with business objectives. They orchestrate the entire sales cycle from discovery to execution, leading technical teams to ensure seamless implementation of solutions.
Develop and optimize large language models and RAG pipelines to extract insights from insurance data. Deploy and manage these models using containerized workflows within the Azure cloud ecosystem.
Lead the technical delivery and architecture of identity security projects using Microsoft Entra ID and Governance. Act as a trusted advisor to customers while designing scalable identity platforms and supporting the growth of the Microsoft consulting practice.
Lead the technical delivery of Active Directory migration, consolidation, and identity modernization projects for enterprise customers. Serve as the primary technical lead and advisor, mentoring junior resources and translating architectural designs into implementation tasks.
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