Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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The Senior Customer Architect acts as a trusted technical advisor to ensure customers derive maximum value from the Elastic Search AI Platform. Responsibilities include defining technical success plans, eliminating technical friction, and driving the adoption and expansion of Elastic solutions to grow annual recurring revenue.
The Senior Sales Engineer partners with sales executives to provide technical expertise during product evaluations and client onboarding. They are responsible for delivering technical presentations and collaborating on sales strategies to achieve revenue targets.
You will execute quality activities such as testing and risk assessment to ensure quality bars are met across the software development life cycle. Additionally, you will collaborate with artists, producers, and remote QA professionals to deliver results in a high-pressure, agile environment.
You will lead end-to-end recruitment for engineering, product, and data roles while partnering with leadership to define hiring strategies. The role involves implementing talent acquisition best practices to ensure efficient, high-quality, and bias-free hiring processes.
Design, build, and maintain backend services for the data layer that stores and serves process data across relational databases and search engines. Collaborate with cross-functional teams to evolve data storage, retention, and streaming capabilities while ensuring system performance and scalability.
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The Lead Architect will own the end-to-end solution design and delivery, ensuring that client engagements align with defined business outcomes rather than just requirements. They will bridge the gap between presales and delivery, managing non-functional requirements and overseeing platform migrations.
You will design and implement multi-step automations and production workflows to connect internal tools like Slack, HubSpot, and GitHub. You will also build AI-powered systems, including agents and data pipelines, to streamline company operations and workflows.
You will experiment with and tune speech/ASR models to improve performance under production constraints like latency and cost. You are responsible for shipping measurable improvements in accuracy and robustness while collaborating with engineering to integrate models into production pipelines.
You will own the end-to-end testing strategy and build automated test suites for web apps and AI APIs. You will also integrate quality gates into CI/CD pipelines and perform performance and stress testing to ensure system reliability.
You will own the end-to-end development of features, from initial coding to production deployment and monitoring. Additionally, you will manage cloud infrastructure on AWS and GCP while integrating third-party APIs and improving CI/CD workflows.
You will define end-to-end AI system requirements and translate model capabilities into reliable, user-centric product decisions. You will work closely with engineering teams to design, evaluate, and iterate on AI-powered workflows while balancing quality, latency, and cost.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
Lead the design, architecture, and development of native Windows desktop applications using modern frameworks. Collaborate with cross-functional teams to ensure high-quality, accessible, and performant user experiences across the full feature lifecycle.
Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms.
You will own the end-to-end execution layer of the company's intelligence, including training pipelines, inference systems, and deployment. You will collaborate with research and application teams to integrate ML systems into production products while balancing latency, cost, and reliability.
You will own the behavior of the desktop application, focusing on reliability, performance, and real-time functionality. Responsibilities include building cross-platform features with Electron, integrating AI-powered backend APIs, and optimizing application performance.
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You will define the research direction for core intelligence, including memory, reasoning, and orchestration. You will also establish evaluation frameworks to measure real-world usefulness, safety, and robustness of the AI system.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. Additionally, you will collaborate with application engineering to integrate these systems into production products while ensuring reliability and performance.
You will lead the technical direction and architecture for a platform sub-team while remaining hands-on with backend development. Responsibilities include building robust integrations, designing scalable APIs, and ensuring system reliability within an AWS environment.
The Senior Solutions Architect will serve as the primary technical leader in Singapore, guiding customers on the suitability of the Temporal platform for their applications. They will partner with Account Executives to drive adoption, manage technical relationships, and provide strategic architectural advice.
Drive post-silicon productization of bitcoin mining ASICs from initial bring-up through high-volume manufacturing. Collaborate cross-functionally to optimize yield, test strategies, and system-level performance.
Review and evaluate annotation and audit work to ensure linguistic accuracy and consistency across Simplified and Traditional Chinese content. Identify errors, provide clear feedback, and support quality alignment activities within established project guidelines.
Develop and ship AI-driven sales enablement products, including LLM orchestration, RAG pipelines, and agentic workflows. Integrate these solutions with CRM systems and enterprise data sources while contributing to a scalable, multi-tenant architecture.
Design, build, and maintain backend services for a distributed streaming platform to ensure high availability and horizontal scalability. Lead medium-to-large engineering initiatives end-to-end while collaborating with cross-functional teams to deliver high-quality technical solutions.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
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You will be responsible for auditing, evaluating, and annotating AI-generated content including text, images, and audio. Additionally, you will perform quality checks and provide feedback to improve AI model training processes.
The Senior Product Design Engineer will bridge the gap between design and engineering by working directly in the codebase to ensure high-quality execution. You will lead impactful projects, collaborate with cross-functional teams, and help shape the design engineering discipline within the company.
The role involves driving the strategic vision for Ethereum in public infrastructure and engaging with global institutions to promote decentralized technology. You will also incubate civic use cases and bridge connections between public sector entities and the Ethereum ecosystem.
You will own the technical sales lifecycle, including discovery, solution design, and product demonstrations for API and AI security. Additionally, you will act as a subject matter expert to ensure customer satisfaction while partnering with internal product and engineering teams.
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