Lead the migration from Heroku to Google Cloud Platform and manage the core Postgres and data pipeline infrastructure. Own production reliability, monitoring, and performance optimization to support a tripling user base.
Remote Software Engineer Jobs (18,412)
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The AI Engineer will design and maintain production ML and AI pipelines to make generative AI systems reliable and scalable for clients. This includes implementing MLOps best practices, monitoring model performance, and collaborating with cross-functional teams to integrate AI into digital platforms.
Act as a dedicated resource embedded within strategic customer teams to identify and implement AI-driven business use cases. Drive the adoption of OutSystems Agentic capabilities and provide a feedback loop to the Product team to evolve the platform.
Perform in-depth diagnostics and troubleshooting for Transport Network and Asset software to resolve application issues. Provide high-quality technical support via web portals, email, and phone while documenting resolutions in case management systems.
Design and optimize data infrastructure to replicate operational data from MongoDB to Google BigQuery for analytics. Manage BI enablement via Looker Studio and implement security safeguards to isolate analytical workloads from production databases.
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Own and evolve the native Android platform architecture to support AI-powered decision workflows across various device form factors. Lead system design and engineering standards while mentoring other engineers to raise the overall technical bar.
Design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, and Spark. Collaborate with stakeholders to translate business requirements into efficient data engineering solutions and ensure data quality and governance.
Perform installations, maintenance, and technical support for product identification and traceability equipment at customer sites. Collaborate with the sales team to promote service solutions and ensure high customer satisfaction.
Lead functional and technical engagement with global system integrator partners like Capgemini, Accenture, and Deloitte to accelerate solution adoption. Act as the technical bridge between internal product teams and partner stakeholders to drive complex enterprise sales cycles.
Lead the frontend architecture and implementation of high-performance, interactive gaming experiences for a crypto casino platform. Collaborate with cross-functional teams to build real-time interfaces and optimize rendering pipelines using modern AI-assisted workflows.
Collaborate with product and engineering teams to define and drive both manual and automated testing efforts. Focus on testing distributed systems, microservices, and backend APIs to ensure software quality.
Design, implement, and maintain .NET applications and back-end services for mortgage and consumer-credit legal-tech workflows. Optimize complex SQL queries and improve legacy codebases for better maintainability and performance.
Create and maintain standard system images across multiple operating systems and hardware platforms, including POS. Provide operational support for vulnerability management, system upgrades, and MECM environment troubleshooting.
Fullstack Engineer and Developer, Europe (Remote) – International client
The White Team
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Full Time
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3 Days Ago
The White Team
Design and build end-to-end web applications including frontend, backend, and cloud infrastructure. Develop secure APIs and manage CI/CD pipelines to ensure application reliability and scalability.
Serve as the primary technical contact for enterprise customers to resolve critical technical issues and ensure successful platform adoption. Collaborate with R&D and product teams to diagnose product bugs and advocate for customer-driven platform improvements.
UDM and HSS delivery engineer
Hewlett Packard Enterprise
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Full Time
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3 Days Ago
Hewlett Packard Enterprise
The engineer is responsible for the end-to-end delivery, deployment, and operation of 4G and 5G core network functions for global customers. This includes system tuning, security patching, and resolving production incidents to ensure high availability and reliability.
Technical Sales Engineer / Solutions Consultant - Japan
IQM Quantum Computers
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Full Time
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3 Days Ago
IQM Quantum Computers
Act as the technical bridge between quantum science and enterprise customers to accelerate technology adoption. Responsibilities include designing tailored technical solutions, leading workshops, and translating customer requirements for R&D teams.
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Design, build, and maintain scalable systems for a commerce analytics platform, focusing on streaming pipelines and data lakehouse architecture. Responsibilities include evolving data models, managing infrastructure as code, and ensuring observability across production environments.
Technical Sales Engineer / Solutions Consultant - South-Korea
IQM Quantum Computers
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Full Time
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3 Days Ago
IQM Quantum Computers
Act as the technical bridge between quantum science and customer applications to accelerate technology adoption. Design tailored technical solutions, lead workshops, and manage technical bids for enterprises and research institutions.
The role involves developing technical and executive relationships in Italy to drive the adoption of Illumio's breach containment solutions. Key tasks include delivering powerful demos, conducting POVs, and aligning technology solutions with customer business outcomes.
Solution Engineer, Sr
Epicor Software Corporation
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Full Time
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3 Days Ago
Epicor Software Corporation
The Senior Solution Engineer acts as a technical partner to the sales team to close ERP opportunities through custom demonstrations and proofs-of-concept. They are also responsible for coaching other Solution Engineers and translating client requirements into technical solutions.
Perform functional and security testing as part of the development and deployment cycle for a B2B call center solution. Support the team in planning and design while contributing innovative ideas to improve service quality.
Partner with Sales to lead technical conversations and deliver workflow-driven product demos to prospective customers. Conduct discovery sessions to understand customer scheduling practices and explain how Planera integrates with or replaces existing tools.
Responsible for end-to-end feature delivery, including solution design, development, testing, and production support for .NET and Node.js products. The role involves building scalable distributed systems and contributing to AI engineering initiatives to improve productivity and product capabilities.
Design, implement, and maintain scalable data interactions and backend systems using test-driven development. Develop APIs and data models to facilitate integration between frontend applications and third-party systems.
Staff AI/ML Engineer - Future Sensing, Embodied AI
General Motors
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Full Time
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4 Days Ago
General Motors
Lead the design and implementation of AI/ML solutions for future sensing architectures and multi-modal sensor fusion in autonomous vehicles. Drive technical execution from prototyping to production, while mentoring engineers and defining system-level performance metrics.
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Senior AI/ML Engineer - Future Sensing, Embodied AI
General Motors
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Full Time
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4 Days Ago
General Motors
Develop and evaluate AI/ML solutions for future sensing and perception to support safe autonomous vehicle behavior. Collaborate with cross-functional teams to translate research into production-ready models for object detection, tracking, and sensor fusion.
Lead the engineering and tuning of advanced detection capabilities across SIEM, EDR, and cloud platforms. Bridge threat hunting, data engineering, and automation to protect enterprise environments from sophisticated actors.
Partner with sales executives to execute strategic deals and manage technical aspects of the sales cycle, including RFPs and proof of concepts. Communicate client needs to R&D teams and deliver powerful presentations to communicate the value proposition to senior executives.
The AI Engineer will design and ship agentic systems and MCP infrastructure to power real-time data tools for media intelligence. They will build data-to-activation pipelines and harden production agent infrastructure through evals, tracing, and guardrails.
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