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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Maintain the build system, improve site reliability, and enforce software development practices using Infrastructure as Code. Responsibilities include managing CI/CD pipelines, security monitoring, and coordinating system upgrades with stakeholders.
Provide technical direction for backend systems and APIs responsible for ingesting, processing, and routing large data sets. Collaborate with cross-functional teams to design, develop, and maintain scalable distributed systems and mentor junior engineers.
Partner with AI research and engineering leadership to define and execute hiring strategies for world-class research teams. Lead full-cycle recruiting for specialized AI talent across academia and industry while refining technical interview processes.
Lead the ML Evaluation team to define the strategic vision for evaluation platforms and infrastructure. Manage and mentor engineers while collaborating cross-functionally to validate next-generation deep neural networks.
![Attio is hiring for remote Product Engineer [Backend]](/assets/72f15b1a-914b-41bf-bb98-dfd7bd0f2750.png){kind=small}
Implement product features across the Node.js backend and React frontend to deliver high-performance, data-rich user experiences. Collaborate with Engineering, Product, and Design teams to represent company values and solve complex technical challenges.
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Enhance the Perl codebase for network automation systems and build secure, scalable RESTful APIs. Lead small projects and mentor junior engineers while improving CI/CD pipelines and reducing technical debt.
Enhance the Perl code base for network automation systems and build secure, scalable RESTful APIs. Lead small projects and mentor junior engineers while improving platform performance and reliability.
Lead the technical oversight and end-to-end delivery of cloud infrastructure projects for clients. Act as a trusted advisor and mentor, developing technical solutions and proposals while remaining hands-on in execution.
Design and deliver enterprise data and AI solutions across core business lines, bridging legacy mainframe systems with cloud-enabled ecosystems. Establish RAG and agentic AI capabilities while ensuring data governance and regulatory compliance.
Design, build, and deploy AI-powered solutions and agentic workflows to deliver business outcomes across insurance and investment sectors. Own the end-to-end delivery of LLM-enabled analytics and advanced statistical models while ensuring responsible AI controls.
Design, build, and maintain dbt models in Snowflake to serve as reliable sources of truth for the company. Collaborate cross-functionally to align on metrics and champion the adoption of AI-assisted tools in data workflows.
The role involves leading the data strategy by translating business questions into a technical roadmap and designing a revised data model for a multi-sided marketplace. Key duties include managing ETL pipelines, building executive dashboards, and establishing organization-wide data governance and literacy.
Design and build high-value datasets, tasks, and environments to benchmark agentic systems and multi-step model behavior. Develop frameworks to evaluate data quality and connect model failures to specific dataset or environment gaps.
Maintain, troubleshoot, and optimize a data ingestion pipeline using Java and Python. Collaborate with data scientists and engineers to improve observability and ensure high-quality data flow.
Lead the discovery and development of AI-driven digital products to optimize the end-to-end student lifecycle for university partners. Redesign operational workflows and manage the product roadmap to improve efficiency and student outcomes.
Develop OOOVATION's business in the German market by identifying and prospecting new B2B clients. Manage the full sales cycle from initial contact and quotations to negotiation and closing deals.
Lead technology-focused business analysis and automation enablement to bridge business needs with IT execution. Identify automation opportunities and develop high-quality documentation like BRDs and Lean Business Canvases to drive efficiency.
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Lead technology-focused business analysis and automation enablement to bridge business needs with IT execution. Identify automation opportunities across enterprise platforms and develop high-quality documentation like BRDs and Lean Business Canvases.
The Process Engineer is responsible for solving straightforward process engineering problems using standard procedures and technical judgment. They analyze possible solutions to improve products and services while supporting routine assignments within the process discipline.
Senior Software Engineers are responsible for feature development and maintenance throughout the entire software development life cycle. They work in a highly agile environment with considerable autonomy, collaborating with various stakeholders.
Staff Software Engineers oversee feature development and maintenance throughout the software development lifecycle. They influence multiple teams, contribute to architectural decisions, and help shape technical direction and prioritization.
Shape the technical direction and architecture of the payments platform to ensure scalable, secure, and resilient solutions. Act as a senior technical advisor across engineering teams while managing integrations with external payment partners.
Design and implement scalable data pipelines and backend services to power global EV charging station coverage. You will build systems to reconcile data from multiple providers and develop internal tooling to monitor data health.
Lead the end-to-end delivery of complex data pipelines and AI-ready data assets to support Claims Analytics. Manage and coach a team of data engineers while partnering with stakeholders to align priorities and scalable data solutions.
The role involves the technical development, analysis, and implementation of complex ABAP/OO solutions within the SAP IS-U and S/4HANA Utilities environment. Key tasks include developing interfaces, performing deep debugging, and coaching junior to mid-level developers.
Develop full-stack AI prototypes and intelligent applications using LLMs and frameworks like LangChain. Create AI assistants and integrate external tools via Model Context Protocol to execute real-world tasks.
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Support the sales organization by providing technical expertise in pre-sales, sales activities, and selected post-sales for KRITIS Utilities. Act as a trusted advisor to customers, managing technical engagements including demos, RfX, and Proof of Concepts.
The GTM Engineer will design and deploy AI-powered workflows and data pipelines to automate go-to-market motions. They will architect custom Salesforce solutions and integrate various GTM tools to reduce manual RevOps workload.
Lead and manage a multidisciplinary engineering squad, overseeing architectural decisions, sprint planning, and production stability. Contribute hands-on to back-end development using Kotlin and Java while mentoring team members to maintain a strong engineering culture.
Architect, implement, and maintain scalable and secure Azure-based cloud infrastructures for a diverse client portfolio. Lead cloud migrations, automate deployments using IaC, and optimize resource performance and cost-effectiveness.
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