The Senior Software Engineer will lead the architecture, design, development, and testing of software applications within the automotive remarketing industry. They are responsible for mentoring junior staff, conducting code reviews, and collaborating with cross-functional teams to deliver high-quality, scalable solutions.
Remote Software Development Jobs (50,547)
Job category = Software Development
Design and execute dynamic, AI-powered livestream experiences while managing the full content lifecycle from script writing to post-production. Collaborate with cross-functional teams to develop content strategies that drive engagement and conversion through data-informed insights.
The Systems Engineer will perform information systems engineering and functional analysis of ATC/M system requirements. The role also involves conducting facility scans to evaluate layouts, interfaces, and system interactions.
The Project Engineer will lead the end-to-end technical design, engineering, procurement, and construction of commercial and utility-scale solar projects. They are responsible for managing internal and external resources to ensure systems meet safety, performance, and reliability goals.
The Systems Engineer will support system adaptation, configuration, and integration activities at FAA facilities. They will serve as the primary point of contact for implementation, coordinating with stakeholders to ensure site readiness and successful system cutovers.
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Project Structural Engineer – Federal Engineering and Design
Olsson
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Full Time
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4 Weeks Ago
Olsson
You will lead structural engineering efforts for vertical infrastructure projects, including the design and coordination of steel, concrete, masonry, and wood systems. Additionally, you will develop construction documents and collaborate with multidisciplinary teams to ensure project success and technical excellence.
The Web Strategist drives the strategy, roadmap, and continuous optimization of GitHub's web experiences to improve business outcomes like conversion and engagement. They manage cross-functional execution, define web requirements, and lead experimentation programs to ensure high-quality, performant digital experiences.
You will lead the integration of Claude into IDEs, CI/CD pipelines, and workflows to drive enterprise-wide AI adoption. Additionally, you will manage the Model Context Protocol servers and build custom AI skills to automate complex tasks.
Senior AWS Engineer/ 6 month Contract/ Fully Remote/ Outside IR35
Cloud Bridge Tech Recruitment
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Full Time
·
4 Weeks Ago
Cloud Bridge Tech Recruitment
You will support the delivery of a major AWS migration and separation programme by building and deploying infrastructure and application services. This involves working within a multi-disciplinary team to execute landing zone implementation, networking builds, and server migrations.
The Sales Analytics Manager will own the analytics ecosystem, architecting how the revenue organization measures performance and forecasts pipeline. They will lead the implementation of AI-driven self-service analytics and manage cross-functional data governance initiatives.
The role involves designing high-level infrastructure for big data processing and ensuring system integrity through architectural audits. You will also lead the evolution of technical standards and write mission-critical code for complex software solutions.
You will work in a small team using extreme programming to build and refactor resilient fintech platforms. Responsibilities include writing extensive automated tests, practicing continuous integration, and pair-programming to ensure high code quality.
Design and implement backend systems for contract lifecycle management and billing models while ensuring data integrity and auditability. Collaborate with product, finance, and data teams to build scalable APIs and services that support diverse commercial relationships.
Design and implement backend systems for contract lifecycle management and billing models. Collaborate with product, finance, and data teams to ensure system accuracy, auditability, and scalability.
Edge Security Platform Engineer
Major League Baseball
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Full Time
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4 Weeks Ago
Major League Baseball
The Edge Security Platform Engineer owns and operates edge security controls including WAF, bot mitigation, and CDN configurations to protect public web and mobile traffic. They are responsible for automating workflows, tuning security policies, and collaborating with cross-functional teams to ensure high performance and fraud reduction.
Senior Technical Program Manager, Forward Deployed Engineering- Applied AI
ServiceNow
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Full Time
·
4 Weeks Ago
ServiceNow
You will lead cross-functional teams to deliver scalable AI solutions by partnering with strategic customers to solve mission-critical challenges. This involves managing the end-to-end execution of AI software builds, from initial conception through delivery, while ensuring alignment with business objectives.
The Business Intelligence Analyst will analyze and monitor business intelligence standards to support organizational objectives. They will develop KPIs, construct data visualizations, and conduct internal audits to improve operational efficiency and patient outcomes.
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Develop and maintain scalable web solutions using WordPress, PHP, and modern front-end technologies while translating Figma prototypes into responsive builds. Collaborate with designers and senior developers to ensure high-quality code standards and implement SEO best practices.
The Systems Engineer III will provide advanced engineering, escalation support, and project leadership across diverse client environments. They will design, deploy, and optimize cloud and hybrid solutions while serving as a senior technical resource and mentor to the team.
The Solutions Architect will guide global retail brands through the design and delivery of scalable omnichannel technical architectures. They will lead technical discovery, manage third-party integrations, and ensure high-quality implementation of the NewStore platform.
Platform Engineer (Observability & AIOps focus)
Telia Company
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Full Time
·
4 Weeks Ago
Telia Company
You will evolve the observability stack by managing high-scale logging and tracing platforms while driving the transition to AI-driven, proactive infrastructure insights. Additionally, you will automate manual tasks using Python and take end-to-end ownership of ITSM tooling, CMDB, and access management.
The Field Service Engineer will perform commissioning, preventive maintenance, and repairs on water analysis instrumentation for customers in the Midtjylland region. They will also document service activities in the CRM system and provide recommendations to the sales team regarding service contracts and equipment.
You will architect and maintain scalable data pipelines and infrastructure to support business operations and product features. This involves collaborating cross-functionally to improve data quality, platform reliability, and the overall data platform roadmap.
You will build and maintain production Android applications with a focus on integrating AI-powered features like chat, vision, and voice. You are responsible for optimizing app performance, memory usage, and responsiveness while collaborating with backend and ML engineers.
You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and low latency. Your role involves building production systems, designing inference pipelines, and managing monitoring and incident response.
You will build end-to-end product features and design agent workflows that handle planning, tool use, and failure recovery. You will collaborate with ML and backend teams to integrate LLMs and memory into reliable, production-grade systems.
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You will build and improve core machine learning components across data, training, evaluation, and inference pipelines. Additionally, you will debug production issues and iterate on models to meet strict reliability, latency, and cost targets.
You will build and maintain cross-platform desktop applications using Electron, focusing on reliability, performance, and real-time behavior. Your role involves designing responsive UIs, implementing native desktop functionality, and integrating AI-powered features via backend APIs.
You will own the end-to-end development of critical ML subsystems, including data preparation, training, and production deployment. You will collaborate with research and engineering teams to build reliable, scalable AI systems that meet performance and latency targets.
You will research and define end-to-end AI system requirements while balancing model capabilities, latency, and user impact. You will also collaborate closely with engineering teams to design, evaluate, and iterate on AI-powered features to ensure reliability and user trust.
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