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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You will be responsible for developing design solutions for fuel fabrication equipment, including CAD modeling, analysis coordination, and fabrication readiness. You will also collaborate cross-functionally to ensure designs meet performance, safety, and regulatory requirements.
You will conduct rigorous, independent validations of credit and fraud models while developing automated monitoring suites to track model performance. Additionally, you will partner with internal teams and stakeholders to ensure model compliance and resolve regulatory or audit findings.
You will own features end-to-end, from design through implementation and rollout, while collaborating with product and engineering teams. Additionally, you will extend agentic AI foundations into customer-facing product experiences across the company's suite.
The Pre-Sales Engineer leads technical discovery, designs infrastructure solutions, and creates proposals and Statements of Work to support the sales cycle. They act as a technical advisor to clients and collaborate with internal teams to ensure sold solutions are deliverable and aligned with business outcomes.
The Senior Analyst will serve as a primary contact for publicly traded clients, providing strategic counsel on equity and ownership trends using AI-driven platforms. They will also act as an expert prompt engineer to automate data processing and support commercial growth by identifying upsell opportunities.
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Drive core research by developing and executing scientific vision while designing reinforcement learning feedback loops for biological models. Collaborate with the experimental team to bridge wet and dry lab efforts and architect robust model training infrastructure.
The role involves implementing and supporting global secrets management and PKI services while ensuring robust data protection. You will act as a technical lead to engineer security measures and collaborate with architects to maintain mature security infrastructure.
The Technical Solution Architect will lead the end-to-end process design, integration, and deployment of the Siemens Teamcenter PLM platform. They are responsible for providing technical guidance, managing data conversion, and mentoring the solution delivery team to ensure successful implementation.
The Account Executive will serve as a subject matter expert for Federal Civilian institutions, driving sales of the Salesforce Marketing technology stack. Responsibilities include managing the full sales cycle, generating new business opportunities, and ensuring customer satisfaction and retention.
The Director of Data Science & AI will lead a team to develop scalable data solutions, integrate AI into business workflows, and drive data-informed decision-making. This role involves hands-on technical leadership, managing the data science roadmap, and collaborating cross-functionally to ship production-grade AI products.
The Manufacturing Engineer will drive concurrent engineering, supplier process readiness, and industrialization for steel components and assemblies. They will lead technical initiatives to document best practices, manage engineering changes, and ensure manufacturability across the global supply base.
The Enterprise Architect will own the architecture across client engagements, ensuring technical decisions align with business goals and delivery timelines. They will serve as the primary point of contact for technical strategy, leading security reviews and establishing governance standards for complex AWS environments.
The Okta Identity Engineer will design, implement, and maintain identity and access management solutions while serving as a subject matter expert. They will also develop automation for authentication processes and perform regular security audits to ensure compliance.
Design and maintain enterprise AI platform capabilities, including LLM infrastructure, RAG pipelines, and reusable AI harnesses for testing and evaluation. Implement observability, monitoring, and automated workflows to ensure scalable, secure, and high-performance AI application deployment.
The Associate Data Engineer will build and maintain batch and streaming ETL/ELT pipelines to integrate third-party data into underwriting and business intelligence workflows. They will also implement data quality checks, manage cloud data jobs, and ensure the delivery of model-ready datasets for data scientists.
The Senior Application Developer will architect and build cloud-native, AI-powered applications using C# and Azure. They are responsible for leading technical design, mentoring team members, and integrating autonomous AI agents into business workflows.
The Senior Cogito Developer will design, code, and maintain reporting and analytics objects using Epic's Cogito suite to support clinical and business needs. They will also collaborate with leadership and clinical informatics teams to set standards and provide production support for BI development tools.
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Design, develop, and support application solutions using S/4HANA, ABAP Cloud, and Fiori frameworks to meet business needs. Contribute to the migration of ECC systems to a unified S/4HANA environment while establishing enterprise-wide development standards.
Drive end-to-end development of advanced mixed-signal/DSP SoCs from architecture definition through tapeout and production. Coordinate cross-functional teams and external vendors to ensure technical requirements and schedule targets are met for the TeraWave satellite communication system.
You will architect and build end-to-end Generative AI applications, including document intelligence and RAG pipelines, on Google Cloud. Additionally, you will collaborate with clients to translate business needs into scalable, high-performance AI architectures while applying MLOps best practices.
The engineer will investigate security vulnerabilities, perform impact analysis, and drive root cause analysis in collaboration with engineering teams. They will also manage vulnerability response strategies, engage with security researchers, and contribute to the improvement of PSIRT workflows and automation.
Define and lead the architecture, strategy, and implementation of next-generation AI solutions to drive enterprise transformation. Collaborate across engineering, data, and leadership teams to establish AI roadmaps, governance standards, and scalable platforms.
The Payments Engineer designs, builds, and maintains scalable cloud-native payment systems and integrations across various payment methods. They are responsible for ensuring secure transaction processing, implementing fraud signals, and participating in on-call rotations to maintain system reliability.
The E-EFMP DevSecOps Engineer will manage CI/CD pipelines, automated deployments, and security scanning tools to ensure reliable software delivery. They will also collaborate with cross-functional teams to maintain environment configurations and support infrastructure provisioning using cloud-native frameworks.
The Senior Front-End Developer will design and implement responsive, accessible user interfaces and reusable component libraries for mission-critical IT environments. They will collaborate with cross-functional teams to ensure secure API integrations, performance optimization, and adherence to accessibility standards.
The developer will build responsive, accessible user interfaces and components while collaborating with cross-functional teams to implement interactive features. They are also responsible for ensuring Section 508/WCAG compliance and optimizing front-end performance within a federal mission environment.
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The API Documentation Specialist will develop, maintain, and publish high-quality technical documentation, including Swagger/OpenAPI specifications and developer guides. They will collaborate with cross-functional teams to ensure documentation is accurate, accessible, and compliant with Section 508 standards.
Lead and mentor a team of engineers to build and maintain highly available, scalable data infrastructure for blockchain transaction analysis. Collaborate with cross-functional teams to design, optimize, and monitor petabyte-scale data pipelines and database clusters.
You will co-direct the research program by shaping scientific vision and developing reinforcement learning feedback loops to bridge wet and dry lab experiments. Additionally, you will perform hands-on engineering to architect model training infrastructure and debug training loops.
You will build first-party applications on the Tempo blockchain and partner with external startups and enterprises to integrate Tempo into their payment systems. Additionally, you will navigate complex codebases to ship products and provide field feedback to improve the core blockchain infrastructure.
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