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 BI Developer will design and implement analytical solutions to improve business processes and systems while serving as a primary point of contact for data-driven decision-making. They are responsible for managing project coordination, creating automated reports, and ensuring data accuracy across the organization.
You will own the end-to-end internal data platform, including Snowflake architecture, dbt transformations, and Dagster orchestration. You will also manage ingestion tooling, reverse ETL processes, and ensure platform reliability while partnering with engineering on critical data pipelines.
The Business Analyst supports business, risk, and transformation initiatives by translating business needs into practical, controlled solutions. They partner with stakeholders to gather requirements, document processes, and identify opportunities for efficiency through technology and AI.
The Principal Artificial Intelligence Architect will design and deploy production-grade GenAI and LLM systems, including RAG pipelines and multi-agent architectures. They will lead the development of scalable AI solutions while ensuring analytical accuracy and system reliability in a fast-paced environment.
Drive technical sales excellence by translating complex business needs into robust architectural designs and innovative technology solutions. Lead strategic account planning and cross-functional collaboration to expand the company's footprint and influence executive-level decision-makers.
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Define and lead the vision, roadmap, and operating model for the enterprise data warehouse engineering function. Oversee the design and implementation of scalable data platforms, pipelines, and models while mentoring engineering teams.
Collaborate with meteorological partners to develop and implement verification methods and forecast tools for hazardous weather. Leverage machine learning and AI algorithms to enhance predictive modeling and automate data ingestion pipelines.
The project manager acts as the primary client-facing leader responsible for governance, financial oversight, and risk mitigation across large-scale digital transformation programs. They partner with client leadership and delivery teams to align implementation strategies, roadmaps, and business outcomes.
The Directory Services Engineer will own, operate, and enhance the company’s External Identity Directory platform and supporting cloud infrastructure. Key tasks include designing secure identity solutions, managing identity lifecycles, and collaborating with cross-functional teams to ensure platform reliability and security.
You will lead the technical design and delivery of end-to-end features for enterprise operations and supply chain web applications. This role involves mentoring developers, establishing engineering standards, and ensuring the long-term health and scalability of cloud-hosted applications.
The Senior Analytics Consultant serves as a strategic partner to business leaders, transforming complex operational and pharmacy data into actionable insights. They lead analytical initiatives from discovery through delivery, designing decision-support tools and communicating findings to diverse audiences.
The role involves defining product strategy and roadmaps while translating business objectives into actionable requirements for cross-functional teams. It also requires driving AI-powered innovation and modernizing legacy platforms while maintaining disciplined product governance and executive reporting.
Drive metal cutting tool sales growth by managing customer relationships and providing technical support to automotive OEM and Tier 1 manufacturers. Execute strategic territory plans, conduct product demonstrations, and deliver cost-saving solutions through application analysis.
The Senior Site Reliability Engineer will drive SRE best practices, manage cloud infrastructure, and lead incident response activities across global SaaS platforms. They will also partner with cross-functional teams to implement automation strategies and improve platform reliability and scalability.
Design, develop, and deploy scalable full-stack web applications for internal systems and client projects. Collaborate with cross-functional teams to build robust back-end logic, RESTful APIs, and responsive front-end architectures.
Architect, develop, and maintain robust server-side logic, database structures, and scalable APIs for internal and client applications. Collaborate with cross-functional teams to implement security protocols and deploy updates via CI/CD pipelines.
Develop and maintain highly responsive, pixel-perfect user interfaces for internal platforms and client projects using Next.js and React. Collaborate with backend developers to integrate APIs and optimize application performance, Core Web Vitals, and technical SEO.
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Design, build, and deploy scalable web applications while collaborating with the engineering team to define best practices. You will integrate data management solutions, implement application logic, and ensure high-quality code through testing and peer reviews.
Lead the design and implementation of advanced test automation frameworks and integrate AI-augmented quality practices across the software development lifecycle. Drive engineering excellence by establishing DORA metrics, visual regression testing, and mentoring the QA practice through cross-functional partnership.
Design and develop automotive instrument clusters and head-up displays by creating 3D models, 2D drawings, and performing structural and optical simulations. Provide technical support during pre-production and production phases, including quality assessment, root-cause analysis, and customer design changes.
The Senior AI Product Manager will own the strategy, discovery, and delivery of customer-facing AI-powered product capabilities. This role involves hands-on technical validation, building functional prototypes, and establishing AI-driven workflows to improve product team practices.
The QA Engineer will execute structured test plans, perform exploratory testing, and maintain collection software on personal hardware. They are responsible for identifying, reproducing, and documenting bugs while providing high-signal technical feedback to engineering teams.
The Service Office Administrator provides administrative support to the Community Support Services team, including payroll, finance reporting, and document management. They also coordinate training, travel arrangements, and maintain program manuals while assisting with general office operations.
The Electrician and Controls Field Engineer is responsible for the installation, maintenance, and repair of electrical wiring, control panels, and automation equipment. They also provide technical support for PLCs, HMIs, and numerical control interfaces while ensuring compliance with safety protocols.
You will build and maintain data pipelines to support marketing, payments, and product analytics while ensuring data accuracy in Databricks. You will also collaborate with cross-functional teams to troubleshoot issues and develop tools that align with business goals.
Design, develop, and implement robust AI solutions based on LLMs and agentic systems. Collaborate with the Data & Analytics team to build scalable applications for national and international clients.
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You will work on mission-critical onboard software and collaborate with cross-functional teams to develop solutions for autonomous driving. You will also solve real-world challenges related to hardware resilience, CPU consumption, and efficient data offloading.
You will drive internal AI processes by automating workflows and develop tailored AI solutions for clients in the construction and real estate sectors. Additionally, you will establish usage standards, provide training, and ensure data governance across all implemented AI projects.
The Cloud Security Engineer will design and deploy scalable security guardrails and IAM policies across multi-account AWS environments. They will also integrate automated security tools into CI/CD pipelines and conduct architectural threat modeling for cloud infrastructure.
The engineer will collaborate with cross-functional teams to build and scale payment platform components and next-gen payment capabilities. They will also diagnose production issues and advocate for engineering best practices including scalability and security.
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