You will lead or contribute to the development of lending products by building complex systems, financial primitives, and clean APIs. You will partner with cross-functional teams including credit risk, legal, and product management to deliver scalable financial solutions.
Remote Software Development Jobs (49,348)
Job category = Software Development
You will partner with cross-functional teams to build and scale financial lending products and platforms. You will also design clean, high-performance APIs and contribute to the development of complex financial systems.
Architect and maintain production-quality player investment systems, workflows, and tools using C++ and Unreal Engine 5. Collaborate with a cross-disciplinary team to design and implement engaging gameplay experiences for players.
You will partner with cross-functional teams to build and scale financial lending products and APIs. You will also lead projects from hypothesis to production while ensuring high system uptime, latency, and regulatory compliance.
Lead the design, development, and maintenance of complex data models and analytics products to support organizational decision-making. Collaborate with cross-functional teams and mentor staff to ensure high-quality data delivery and improved data literacy across the system.
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The MLOps Engineer will build, maintain, and document machine learning frameworks while supporting project teams with automated CI/CD testing and deployment. They will also develop reusable feature stores and implement monitoring capabilities to ensure model performance and effectiveness in production.
The SecOps Engineer will own the implementation and operation of security controls across endpoints, infrastructure, and data protection. They will also manage incident response, SIEM detections, and SOAR playbooks to protect the company's environment at scale.
Build and maintain features for desktop clients using web technologies like TypeScript and React. Collaborate within a cross-functional, autonomous team to coordinate work and ensure long-term code quality.
You will design and maintain scalable, fault-tolerant cloud infrastructure while building CI/CD pipelines to support software engineers and data scientists. Additionally, you will implement security best practices and architect an internal AI Ops platform to manage AI/ML agents.
Design, build, and maintain CI/CD systems, release orchestration, and testing infrastructure to improve delivery speed and reliability. Develop internal tooling and APIs to streamline the development lifecycle and support engineering teams.
The role involves deploying and validating navigation solutions on operational platforms while serving as the primary technical bridge between customers and internal research teams. You will lead high-impact customer pilots, analyze complex sensor data, and translate performance metrics into actionable narratives for senior stakeholders.
You will design, build, and scale critical backend services and product features to support rapid growth. You will also collaborate with cross-functional teams to improve system architecture, performance, and engineering standards.
You will create high-performing video and static creative assets for advertising campaigns by blending AI-generated content with manual design refinements. Additionally, you will collaborate with the marketing team to test visual hypotheses and optimize creative workflows.
iPaaS & AI automation platform | Sales Development Representative (SDR)
SD Solutions
·
Full Time
·
5 Weeks Ago
SD Solutions
The Sales Development Representative will focus on outbound prospecting, engaging C-level decision-makers, and booking qualified meetings for the AI-driven no-code automation platform. Responsibilities include managing the sales pipeline in the CRM, conducting multi-channel outreach, and refining messaging strategies to meet activity targets.
Create high-performing video and static creative assets for advertising campaigns using a mix of AI tools and manual design techniques. Collaborate with the marketing team to test visual hypotheses and optimize creative workflows.
The Senior Engineer will lead the security operations program, including threat hunting, incident response, and the development of detection logic. They will also drive automation initiatives and provide executive-level reporting on the organization's security posture.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and infrastructure automation. You will collaborate with engineering and product teams to identify bottlenecks and facilitate technical meetings.
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The ServiceDesk Engineer will troubleshoot complex technical issues, including API errors and performance bottlenecks, while maintaining documentation and playbooks. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer will troubleshoot complex technical issues, perform root cause analysis, and investigate product bugs. They will also standardize support processes, automate routine tasks, and participate in on-call incident management.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and infrastructure automation. You will collaborate with engineering and product teams to identify bottlenecks and facilitate technical communication.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, perform root cause analysis, and maintain documentation for L1 and L2 teams. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
Community Engineer (SWE3), Brilliant Black Minds (United States)
Karat
·
Full Time
·
5 Weeks Ago
Karat
The Community Engineer will build AI-powered tools and automations to support a community of 11,000+ software engineers. The role involves a mix of hands-on software development and community program management, including Discord moderation and project leadership.
Lead end-to-end analytics services delivery and serve as a senior pre-sales partner to drive strategic value for life sciences customers. Oversee the managed services delivery model, champion AI integration, and build a high-performing team to ensure customer retention and product adoption.
Serve as the principal technical advisor to enterprise clients, managing the implementation and optimization of the interview platform. Collaborate with internal content and data teams to analyze performance metrics and provide strategic recommendations to ensure client success.
Provide remote technical support for networks, servers, and cloud environments while managing client interactions via ticketing systems. Design and implement solutions to enhance system security, performance, and uptime.
You will design, build, and maintain scalable ELT pipelines and semantic models to ensure reliable data delivery. Additionally, you will architect data infrastructure for AI initiatives, including RAG pipelines and Snowflake Cortex model support.
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The Value Engineer will serve as the analytical backbone of the Customer Success organization, quantifying the business impact of the platform for pharmaceutical clients. Responsibilities include building ROI models, translating commercial objectives into measurable KPIs, and providing data-driven narratives for client business reviews.
The Sales Engineer will act as a technical consultant to modernize physical operations through IoT solutions, managing product demonstrations, value assessments, and system integrations. They will also serve as a liaison between product and sales teams to provide technical feedback and support customer deployment plans.
You will design, train, and deploy computer vision models while owning the full machine learning pipeline from data preprocessing to production. You will also collaborate with cross-functional teams to integrate these solutions into the platform and establish observability benchmarks.
The Enterprise Customer Support Engineer will lead complex product escalations and act as a subject matter expert for the global support team. They are responsible for providing technical enablement, contributing to the knowledge base, and collaborating with developers and product managers to resolve issues.
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