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 administrator coordinates RFx activities, manages contract administration, and monitors supplier performance against service metrics. They also analyze market data, track savings, and ensure data integrity across standard reporting systems.
You will architect and maintain embedded software for hardware platforms ranging from prototypes to production-grade systems. The role involves integrating sensors, optimizing edge intelligence, and ensuring system stability through robust firmware and middleware development.
The Quality Assurance Officer will lead SBA quality control efforts to ensure lending activities are accurate, compliant, and well-documented. They will identify operational risks, provide corrective action recommendations, and support internal and external audits.
The Plumbing Engineer will prepare designs, calculations, and specifications for various capital projects while ensuring technical quality and coordination across disciplines. They will also conduct site surveys and assist with construction punch lists to support project requirements.
The Sr. BI Engineer will manage reporting data pipelines, maintain data quality, and architect data models to support self-service analytics. They will also perform deep-dive analytics and build dashboards to provide actionable insights for product and marketing stakeholders.
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The manager will lead the development of business forecasting models and provide deep performance analytics to drive strategic decision-making. They will collaborate across Product, Marketing, and Finance to ensure high-fidelity demand planning and consistent business performance tracking.
The Manager will lead assurance and consulting engagements related to regulatory compliance for energy clients. They are responsible for supervising engineering reviews, conducting on-site inspections, and managing a team of direct reports.
You will shape the technical strategy for the Revenue Intelligence platform while leading the design and delivery of complex, data-intensive systems. This role involves hands-on engineering, mentoring team members, and driving modernization efforts across the company's cloud infrastructure and services.
The role involves acting as an embedded point of contact between the simulation platform team and autonomy teams to drive the adoption of simulation tools. You will implement end-to-end data flows, onboard autonomy models for large-scale replay and evaluation, and debug issues across the full stack.
You will build and maintain features across the full stack while partnering with client stakeholders to translate requirements into working software. The role requires using AI coding tools for prototyping, refactoring, and shipping features with minimal supervision.
You will lead the in-house machine learning and AI agent development while managing a team of engineers and developers. The role involves overseeing the full lifecycle of AI/ML systems and collaborating with the CTO and CEO on technical strategy.
You will design, build, and scale identity and access management solutions across cloud infrastructure and internal systems. Additionally, you will drive IAM projects end-to-end, from defining requirements to operationalizing secure, automated access models.
You will design, develop, and deploy end-to-end cloud solutions while collaborating with team members and customers. Responsibilities include writing unit tests, managing data migrations, and ensuring platform stability through active participation in the software development life cycle.
The Technical Support Engineer serves as the primary point of contact for platform-related issues, managing incident triage, classification, and resolution. They are responsible for maintaining ticketing hygiene, ensuring SLA compliance, and providing ongoing support for reporting, WFM, and QM applications.
You will architect, build, and maintain model serving infrastructure and real-time data pipelines to support a world-class detection engine. You will also collaborate with machine learning and data science teams to scale services and improve feature development workflows.
You will be responsible for developing a client portfolio through active prospecting and managing the entire sales cycle from initial contact to contract signature. Additionally, you will conduct site visits, provide technical solutions, and coordinate with internal teams to ensure project success and client satisfaction.
You will supplement the product team by providing additional development capacity and delivering backlog items with proper documentation and testing. You will also ensure knowledge sharing with client colleagues and participate in team ceremonies such as planning and refinement.
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You will be responsible for the strategic and operational development of the CRM, ensuring data-driven performance and measurable revenue growth. Additionally, you will lead a small team while remaining hands-on with campaigns, automation, and quality assurance.
You will build and maintain the company's data foundation, including data pipelines and the Google BigQuery data warehouse. Additionally, you will define data modeling standards, manage access controls, and automate development processes.
You will be responsible for developing test automation using Python and contributing to Python-based test framework functionalities. Additionally, you will design and automate new environment configurations while collaborating with architects to ensure validation methods meet expectations.
The Senior Database Administrator will oversee the design, maintenance, and optimization of database systems within the Microsoft Azure environment. They are also responsible for mentoring a team of data professionals and ensuring high availability, security, and performance of all database operations.
Lead the design and implementation of systems powering insurance operations, including patient identification, pricing, and claims processing. Mentor engineering team members while building scalable, data-intensive, and ML-powered platforms.
Develop and maintain Python applications, automation solutions, and internal tooling to support platform operations. Collaborate with engineering teams to enhance testing frameworks and improve reliability across the development lifecycle.
You will lead testing efforts by implementing manual and automated processes, including AI-powered methodologies to ensure software quality and scalability. The role involves collaborating with stakeholders to define test strategies, executing performance tests, and managing defect reporting within an Agile environment.
Design, develop, and maintain advanced geospatial applications using ArcGIS Experience Builder and the broader ESRI ecosystem. Support clients as a geospatial consultant while managing spatial data processing and cloud-based ETL pipelines.
You will partner with stakeholders to solve complex business challenges by transforming ambiguous questions into structured analytical approaches and actionable recommendations. Additionally, you will design and maintain scalable analytical solutions, including dashboards and semantic models, while leveraging AI tools to enhance productivity and analytical accuracy.
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Design and operate CI/CD pipelines for build, release, and observability to ensure reproducible software validation and controlled deployment. Partner with cross-functional teams to define operational KPIs, runbooks, and audit-ready evidence packs for secure release decisions.
The Customer Success Engineer will manage customer relationships, drive product usage, and provide deployment support. They will also lead technical issue resolution and gather customer feedback to inform product improvements.
You will design and develop AI-powered analytics solutions, including conversational interfaces and agentic workflows, to enable smarter business decision-making. You will also build scalable semantic data models and mentor team members on AI application development and responsible AI practices.
You will supplement the product team by delivering backlog items, including documentation and automatic testing, while ensuring knowledge sharing with client colleagues. Additionally, you will participate in team ceremonies such as planning, refinement, and stand-ups while adhering to best practices.
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