The Field Sales Engineer is tasked with increasing sales of Walter products and services within the assigned territory by providing optimal, value-added solutions to target customers. This involves planning sales activities, maintaining strong customer relationships, and coordinating internal processes to meet customer needs effectively.
Remote Software Development Jobs (50,524)
Job category = Software Development
The role involves designing, developing, and maintaining RESTful APIs and scalable backend services using technologies like Node.js (Express) and Python (Flask), leveraging PostgreSQL and cloud services. Responsibilities also include improving system observability, participating in code reviews, and supporting production systems via on-call rotations.
The role involves participating in the full development lifecycle, focusing on creating new features for enterprise software solutions across service layers, integration, UI, and data. The engineer will also support production issue resolutions and act as the primary UI resource and Subject Matter Expert for React and Radial Design.
The Client HR Tech Lead oversees the end-to-end technical landscape for Strada Global Payroll clients, providing expert guidance on optimizing HR technology solutions aligned with their business objectives. Key duties include enabling HR technology expertise, accountability for post-go-live technical design, leading discussions on standard models, and acting as the second level of escalation for critical technical issues.
Presales Solutions Engineer - Security
SHI International Corp.
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13 Weeks Ago
SHI International Corp.
This role involves providing consultative technical support to customers and internal sales teams by designing, positioning, and articulating cybersecurity solutions tailored to customer business objectives across various environments. Key duties include leading technical discovery sessions, assessing security architectures, designing scalable solutions, and presenting value propositions to both technical and executive audiences.
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The analyst will own product analytics end-to-end, focusing on designing, running, and interpreting A/B tests, analyzing retention and engagement, and defining key metrics in collaboration with C-suite and product leadership. They must answer complex product questions by distinguishing correlation from causation and clearly communicate actionable findings to technical and non-technical stakeholders.
Bilingual (Japanese–English) Consultant – Medical AI Project Support (Part-Time)
BIP Consulting
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13 Weeks Ago
BIP Consulting
The consultant will provide real-time and written translation support between Japanese and English, focusing on medical terminology alignment. This role also involves supporting structured discussions with the Japanese medical team to define business and functional requirements for a medical AI solution.
The engineer will be responsible for embedding machine learning models into product and operational workflows to improve Servicing decisions and advancing the experimentation platform to enable faster learning and safer iteration. They will also design and run controlled experiments to increase the effectiveness of personalization strategies and scale model-driven decisioning through resilient feature pipelines.
The Software Development Engineer in Test II will be responsible for designing and developing automated API and UI tests using white-box and black-box techniques, while also debugging systems and building test frameworks. Responsibilities also include enhancing the CI/CD pipeline and collaborating with developers to define test criteria and create comprehensive test plans.
The role involves leading the migration of digital contact center workloads from Genesys and LivePerson to Amazon Connect, focusing on designing and implementing solutions across chat, SMS, email, and WhatsApp channels. Responsibilities also include developing custom widgets, integrating with CRM platforms like Salesforce, and implementing GenAI-powered solutions using Amazon Bedrock and OpenAI.
The Senior Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources, and owning the architecture of the data storage and processing stack. This role also involves operationalizing AI/ML workflows by preparing clean datasets with robust lineage and integrating outputs with backend services and dashboards.
The role involves designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines for data normalization, enrichment, and versioning across various sources. Responsibilities also include owning the data storage architecture and operationalizing AI/ML workflows by preparing clean datasets with robust lineage.
The Senior Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. This role also involves owning the data storage architecture and operationalizing AI/ML workflows by preparing clean, versioned datasets.
The Senior Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. They will also own the architecture of the data storage stack and operationalize AI/ML workflows by preparing clean, versioned datasets.
The role involves designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources, and owning the architecture of the data storage and processing stack. Responsibilities also include operationalizing AI/ML workflows by preparing clean datasets and integrating outputs with backend services and dashboards.
The Senior Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. This role involves owning the data storage architecture and operationalizing AI/ML workflows by preparing clean, validated training and inference datasets.
The primary responsibility is building dashboards and reports for Initial Validation Audit (IVA), Risk Adjustment, and Quality Improvement stakeholders to support decision-making, serving both external and internal customers. Secondary duties involve building reports for growth, marketing, finance, and operations, while leveraging the Looker platform for analysis and automation.
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Engineers will work directly with the CEO and CTO to build full-stack features and improvements, taking true end-to-end ownership of their work and leading key components of the product roadmap. This includes refining the SDLC and CI/CD pipelines while maintaining the AWS infrastructure.
The Staff Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building pipelines to normalize and enrich data, and owning the architecture of the data storage and processing stack. This role involves operationalizing AI/ML workflows by preparing clean training and inference datasets and integrating outputs with backend services and dashboards.
The Staff Data Engineer will architect and scale systems for AI-driven valuation tools, market analytics, and collector insights, leading development of data ingestion pipelines, enrichment workflows, and metadata infrastructure. This involves handling everything from scraping real-world sources to preparing structured datasets for ML models and public indices.
The Staff Data Engineer will design and operate scalable data ingestion and web scraping systems, building batch and real-time pipelines to normalize, enrich, and version data from various sources. Responsibilities also include owning the data storage architecture and operationalizing AI/ML workflows by preparing clean datasets with robust lineage.
The Staff Data Engineer will be responsible for architecting and scaling systems to power AI-driven valuation tools, market analytics, and collector insights by leading the development of data ingestion pipelines and metadata infrastructure. This involves building batch and real-time pipelines to process structured and unstructured data, operationalizing AI/ML workflows, and owning the data storage and processing stack.
Engineers will develop full-stack features across modern front-end frameworks and serverless back-end systems, focusing on performance, reliability, and usability. They will also shape user experiences through intuitive interfaces and contribute to internal tooling and engineering workflows to improve delivery speed.
The role involves architecting end-to-end solutions primarily on AWS, Azure, and Salesforce for global clients, while leading client engagements including workshops, demos, and technical deep dives. Key duties also include responding to RFPs, collaborating across internal teams, and ensuring solutions meet critical requirements like security and scalability.
The engineer will architect financial engines by building robust payment lifecycles and seamless checkout experiences, taking technical ownership of key systems and features to ensure scalability and reliability. Responsibilities include contributing as a full-stack engineer, designing and maintaining business-critical systems across the stack, and championing clean architecture and strong engineering practices.
The role involves partnering with product managers to define requirements, design data endpoints, and deliver seamless integrations between backend services and user interfaces. Responsibilities include building scalable, reliable solutions to enhance application performance and enable smarter data-driven experiences.
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Investigate the cause and origin of failures, damages, or defects in mechanical systems and components. Prepare accurate reports detailing opinions and conclusions for clients.
PhD Research Intern AI Memory & Personalized Education
7Edu Impact Academy
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13 Weeks Ago
7Edu Impact Academy
The role involves designing a theoretical framework for 'Triangulated AI Memory' and collaborating on prototyping memory architectures like RAG systems aligned with pedagogical goals. The intern will also design and conduct validation studies and contribute to a co-authored publication.
The role involves designing and maintaining scalable batch data pipelines in AWS to support analytics and Machine Learning use cases, alongside developing and optimizing SQL transformations and analytical datasets for BI and predictive workloads. Responsibilities also include building reliable ETL/ELT processes, creating feature-ready datasets for ML initiatives, and contributing to CI/CD-driven MLOps workflows for model deployment.
![Bee Talents is hiring for remote Senior Engineer | Kilo Code [37-47k PLN B2B/B2B] 100% remote](/assets/63d2adc3-72f8-40cf-81b8-835099d4a527.png){kind=small}
Senior Engineer | Kilo Code [37-47k PLN B2B/B2B] 100% remote
Bee Talents
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13 Weeks Ago
Bee Talents
The Senior Software Engineer will take full ownership of the JetBrains ecosystem area, building and shipping features end-to-end for an open-source AI coding platform. This includes designing solutions, implementing critical parts, managing performance, gathering user feedback, and making independent technical and product decisions.
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