The engineer will architect and deploy AWS, VMware, and Citrix solutions while serving as a client advocate and post-sales expert. Responsibilities include managing VDI environments, implementing device management, and ensuring security compliance through zero-trust frameworks.
Remote Software Development Jobs (49,381)
Job category = Software Development
The Senior Analytics Engineer will architect, build, and maintain scalable data pipelines and analytics infrastructure to support real-time insights. They will collaborate with cross-functional teams to design secure data models and reporting systems that drive business decisions.
The Senior Cloud Network Engineer will manage the configuration, installation, and ongoing support of network infrastructure within AWS and Azure cloud environments. This role involves designing network solutions, implementing security measures, and performing maintenance to ensure system availability and performance.
You will be responsible for architecting, developing, and owning critical systems within a serverless microservices ecosystem. You will collaborate with designers and developers to build interfaces and core modules for customer, property, and ticketing management.
Senior AI Engineer, Agentic Evaluation & V&V
Slingshot Aerospace
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Full Time
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4 Weeks Ago
Slingshot Aerospace
You will design and scale evaluation frameworks, benchmarks, and simulation-backed validation systems for agentic AI used in mission-critical space operations. The role involves collaborating with researchers to translate mission concepts into executable, testable scenarios for autonomous decision-making workflows.
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Sr. Software Engineer - Application Security
Backblaze External Website
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Full Time
·
4 Weeks Ago
Backblaze External Website
The role involves building security into product features and infrastructure while leveraging AI tools to remediate vulnerabilities. You will perform security assessments, code reviews, and develop security automation to protect cloud storage systems.
You will design, develop, and deploy GraphQL APIs and delightful interfaces for white-label web applications within a serverless microservices ecosystem. You will collaborate with a cross-functional squad to build mission-critical infrastructure for ISPs that serves millions of telco consumers.
You will be responsible for strengthening the team by managing AI infrastructure and ML production environments. This includes optimizing AI inference, handling GPU workloads, and maintaining scalable real-time AI systems.
The ML Research Engineer will bridge research and engineering teams to take machine learning models from experimentation to production. They will also establish engineering standards and mentor team members on best practices for production environments.
The role involves leading the technical pre-sales cycle by conducting product demonstrations and managing proof-of-value engagements. You will also architect technical solutions to address customer security gaps and provide training to internal and external partners.
The Senior Sales Engineer will lead the technical pre-sales cycle by conducting product demonstrations and managing proof-of-value engagements. They will also collaborate with sales executives to architect security solutions and provide technical training to internal and external partners.
You will perform penetration testing on web applications, networks, and software while providing expert security advice to clients. You will also solve complex technical problems and collaborate with global teams to secure sophisticated technologies.
The Frontend Engineer will own the end-to-end architecture and development of the company's web platform and marketing website. They will collaborate with Product and Design teams to establish UI patterns, improve performance, and mentor other engineers.
The Data Quality Engineer will design and implement a data quality framework across Bronze, Silver, and Gold layers while maintaining automated checks within Databricks pipelines. They will also collaborate with Data Engineering teams to validate data flows and ensure production-ready data assets.
Design and implement a comprehensive data quality framework across Bronze, Silver, and Gold layers within Databricks pipelines. Collaborate with data engineering and business teams to validate data accuracy, perform reconciliation, and monitor pipeline health post-deployment.
Design and implement a data quality framework across Bronze, Silver, and Gold layers while maintaining automated checks within Databricks pipelines. Collaborate with Data Engineering and business teams to validate data pipelines, perform reconciliation, and ensure production-ready data assets.
Design and implement a comprehensive data quality framework across Bronze, Silver, and Gold layers within Databricks pipelines. Collaborate with Data Engineering and business teams to validate data pipelines, perform reconciliation, and ensure production-ready data assets.
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The Cloud DevOps Engineer will design, build, and maintain CI/CD pipelines and manage cloud infrastructure within Google Cloud Platform. They will collaborate with cross-functional teams to implement Infrastructure as Code and ensure the reliability and security of mission-critical emergency services applications.
Business Analyst, Systems Analyst, Medical Devices (Remote, Continental United States)
ICA.ai
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Full Time
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4 Weeks Ago
ICA.ai
The analyst will elicit, document, and manage business and system requirements to ensure alignment with federal health objectives. They will collaborate with engineering and data science teams to support backend data pipelines, analytics workflows, and system integrations.
Account Executive LATAM (B2B SaaS) – 100% Remoto (México/El Salvador/Colombia)
Metricool
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Full Time
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4 Weeks Ago
Metricool
The Account Executive will manage the full sales cycle from prospecting to closing for the LATAM and US markets. They will collaborate with cross-functional teams to ensure customer success and maintain a healthy pipeline of qualified opportunities.
The Senior AI Systems Engineer will lead the deployment, integration, and operational support of AI platforms and infrastructure. They are responsible for building MLOps pipelines, ensuring system security and compliance, and collaborating across teams to align technical implementations with business objectives.
The Senior AI Technologist will identify and integrate AI opportunities into organizational processes while designing data structures and pipelines to support machine learning initiatives. They will also collaborate with stakeholders to ensure data workflows are scalable, secure, and meet quality standards.
Healthcare Data Integration Engineer - ITS40
WellLife Network
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Full Time
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4 Weeks Ago
WellLife Network
Design, develop, and maintain secure API integrations and data pipelines to support behavioral health analytics. Collaborate with IT and leadership teams to translate business requirements into scalable technical solutions while ensuring HIPAA compliance.
Senior Machine Learning Engineer
Allied Benefit Systems
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Full Time
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4 Weeks Ago
Allied Benefit Systems
The Senior Machine Learning Engineer will design, build, and deploy scalable machine learning systems while operationalizing models for production environments. They will also establish MLOps frameworks, monitor model performance, and collaborate with cross-functional teams to integrate ML capabilities into business processes.
Provide day-to-day IT support for a global team, managing hardware, software, and access requests across various channels. Maintain internal systems, manage IT inventory, and partner with security and finance teams to ensure operational efficiency.
The Senior Engineering Manager will lead a distributed team of engineers to deliver high-quality full-stack features while mentoring staff and driving engineering best practices. They will collaborate with cross-functional stakeholders to define product roadmaps and actively contribute to system design and codebases.
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Social Media & Content Operations Assistant (AI-Driven)
The Global Talent Co.
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Full Time
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4 Weeks Ago
The Global Talent Co.
The assistant will execute daily content operations, manage lead outreach, and maintain structured workflows using AI tools. They are responsible for video editing, scheduling posts, and coordinating with real estate agents to support the founder's deal flow.
You will own the end-to-end AI system layer, defining how intelligence flows across the entire product to create proactive, agentic workflows. You will lead and scale a multi-team engineering organization to build reliable, measurable AI primitives that enhance business operations.
You will design, optimize, and scale search infrastructure while improving search relevance, accuracy, and speed. You will also collaborate with AI and backend teams to integrate search into new features and build vector search capabilities.
You will act as a technical expert to integrate the Semgrep platform into customer environments and ensure maximum value delivery. Additionally, you will drive organizational initiatives, create technical content, and influence the product roadmap based on customer feedback.
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