GCP Platform Engineer (ID 1394)
Support and optimize GCP data pipelines and workflows across batch and streaming environments. Collaborate with data engineering and application teams to troubleshoot performance issues and ensure system reliability.
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Support and optimize GCP data pipelines and workflows across batch and streaming environments. Collaborate with data engineering and application teams to troubleshoot performance issues and ensure system reliability.
You will take product ideas from problem definition through design, implementation, and rollout while working across backend, infrastructure, and frontend boundaries. You are responsible for owning the production outcome, including reliability, security, and iterating based on real user feedback.
You will work in a cross-functional team to identify business requirements, define use cases, and ensure technical compatibility for product features. Additionally, you will manage the product backlog, oversee test implementation, and gather user feedback to propose functional improvements.
You will own the end-to-end architecture of AI trading agents, including orchestration, model routing, and the evaluation layer for strategy quality. You will also build data foundations and ensure system observability to maintain high-performance, statistically sound trading strategies.
The Lead Site Reliability Engineer will manage service reliability through SLOs, SLIs, and error budgets while leading incident response and post-incident reviews. They will also design scalable infrastructure using IaC and implement comprehensive observability across cloud-based systems.
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You will design, develop, and implement custom Oracle Extensions solutions using Oracle VBCS while collaborating with cross-functional teams. The role involves gathering business requirements, creating data models, and ensuring the performance and security of integrated applications.
Design and develop scalable backend services and production-ready Generative AI solutions using LLMs. Collaborate with cross-functional teams to optimize AI workflows and contribute to software architecture and engineering best practices.
The Technical Business Analyst will serve as a liaison between business stakeholders and technology teams to support a large-scale Microsoft Dynamics 365 CRM transformation. Responsibilities include eliciting requirements, documenting process flows, and ensuring the successful delivery of scalable technology solutions throughout the full SDLC.
Lead the design and development of production-grade autonomous and multi-agent AI systems. Oversee technical leadership and the creation of AI agents to support software development workflows including coding, testing, and CI/CD.
You will develop and deploy data-driven algorithms and machine learning models to improve the accuracy of the real-time identification platform. Additionally, you will lead technical strategies and foster a data-driven culture while managing projects from concept to production.
The Staff Software Engineer will own the delivery of major projects while mentoring team members throughout the planning and implementation phases. They will also be responsible for optimizing infrastructure, responding to incidents, and collaborating with product and design teams to shape technical direction.
Design end-to-end cloud reference architectures on GCP to ingest, process, and store clinical data using HL7 FHIR standards. Implement and manage healthcare data engines and integration pipelines for legacy healthcare data formats.
Design and deliver scalable full-stack solutions while orchestrating AI development tools and agents. Supervise data pipelines, integrate AI/ML models, and mentor developers while assuming technical leadership responsibilities.
The Director of Professional Services will lead the delivery organization, overseeing migrations, implementations, and custom engagements for enterprise WordPress clients. This role is responsible for driving revenue, optimizing delivery models through AI, and partnering with sales to identify growth opportunities.
You will build and operate the backend of a Web Analytics and AI portal, owning features from design to production. This includes managing APIs, data layers, authentication, and ensuring system reliability through observability and performance optimization.
Lead the system design and hands-on delivery of data-intensive web products on Microsoft Azure. Own the end-to-end application architecture, including services, APIs, and performance optimization under load.
You will own major features within the Android app, ensuring high-quality delivery and reliability. You will also collaborate across product, design, and engineering teams to shape the future of the Android platform.
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Design, build, and optimize complex data models and graph structures within SAP HANA Cloud to support enterprise-level applications. Collaborate with machine learning and search engineering teams to ensure efficient data pipelines and high-performance query execution.
The AI Engineer will design, develop, and maintain production-grade AI services and APIs using Python and modern orchestration frameworks. They will also build and optimize end-to-end RAG solutions while ensuring system quality through observability, evaluation, and performance monitoring.
You will own the end-to-end development of payment product features, balancing frontend and backend tasks while driving AI-driven development workflows. This includes managing UI architecture, API contracts, testing, and mentoring the team on AI-integrated coding practices.
The QA Engineer will own quality across a financial trading product by performing manual and automated testing. Responsibilities include building E2E tests, validating releases, and collaborating with developers and product managers to resolve issues.
Design and implement AI-powered business solutions within the SAP ecosystem using SAP BTP and AI Foundation. Collaborate with teams to develop custom AI applications, agentic workflows, and RAG architectures while ensuring compliance with governance and security standards.
The Business Analyst will analyze and improve healthcare payer operations, including claims processing workflows and regulatory reporting. They will act as a bridge between business stakeholders and technical teams to ensure accurate, compliant, and efficient data-driven processes.
You will build and own the backend and Agent workflows for LLM-powered products, including multi-turn conversation systems and RAG. Additionally, you will drive continuous evaluation, ensure production reliability, and shape technical product decisions.
Create agency-grade visual designs, branding materials, and digital assets for high-tier clients. Design and execute UI/UX layouts for live Shopify stores while collaborating with teams to maintain aesthetic and performance standards.
The engineer will own the end-to-end development of computer vision and 3D reconstruction models for human geometry. They will collaborate with mobile and backend teams to deploy these models while balancing accuracy, latency, and resource constraints.
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You will lead the development of a mission-critical enterprise pricing platform while mentoring engineers and elevating technical standards. Additionally, you will integrate AI-assisted workflows to improve team productivity and code quality.
The architect will lead the design and implementation of a modernized healthcare data platform on GCP, ensuring secure data ingestion and analytics. They are responsible for defining end-to-end cloud architecture, including networking, security, and disaster recovery strategies while mentoring engineering teams.
Lead supplier industrialization for electromagnetic warfare electronics, from early PCBA builds through production ramp, including supplier qualification, manufacturing process development, capacity readiness, and production performance. Partner with engineering, quality, supply chain, manufacturing teams, and suppliers to improve manufacturability, quality, cost, throughput, and supply resilience.
The role involves managing and expanding commercial data products by sourcing, cleaning, and analyzing datasets to support investment research. You will also build AI-driven automation tools and maintain dashboards to provide actionable insights to stakeholders.
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