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 Sales Engineer will present the Zscaler cloud security platform to prospective customers and gather technical requirements through discovery calls. They will act as a trusted advisor to translate client goals into high-impact solutions and deliver technical demonstrations to drive business growth.
The Payroll Data Administrator is responsible for executing accurate and timely payroll processes across pre-pay, run, and post-pay phases. They maintain audit-ready records, handle data entry, and collaborate with senior team members to ensure compliance and resolve exceptions.
Develop and maintain web applications using .NET and Angular frameworks while designing RESTful APIs. Collaborate with cross-functional teams to ensure high-quality code through testing and adherence to SDLC best practices.
Develop and implement machine learning and advanced analytics models using Python, PySpark, and SQL to generate actionable insights. Collaborate with engineering teams to operationalize analytical solutions on cloud platforms while ensuring model performance and explainability.
Design and implement low-latency backend systems and APIs for quoting, hedging, and executing across on-chain and traditional trading venues. Collaborate with the trading team to define interfaces and maintain data integrity for positions, fills, and PnL.
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You will serve as the primary technical resource for the Account Executive team, leading product demonstrations and technical validations during the sales cycle. Additionally, you will collaborate cross-functionally with Product Management and Engineering to improve service offerings based on customer feedback.
The Technical Lead will oversee end-to-end delivery of projects involving Salesforce, AI agents, and enterprise integrations. They will partner with stakeholders to design scalable solutions while mentoring engineering teams on best practices.
The developer will design, implement, and maintain Salesforce CI/CD pipelines using Copado to ensure reliable and efficient deployment processes. They will also coordinate release orchestration and collaborate with cross-functional teams to improve deployment predictability and quality.
The candidate will serve as a Senior Java Backend Technical Lead, responsible for designing and engineering digital solutions. They will oversee the development of backend systems while leveraging AI tools and cloud architectures to meet client needs.
You will lead the design, implementation, and optimization of Oracle Cloud Finance solutions to meet business requirements. You will collaborate with clients and project teams to drive successful implementations and support critical finance processes.
Design and implement scalable Salesforce Data Cloud solutions including data ingestion, identity resolution, and unified customer profiles. Develop and maintain integrations between Data Cloud and external systems while optimizing activation workflows for customer engagement.
The engineer will design and develop scalable data processing solutions using Spark and Amazon EMR while building and maintaining distributed data pipelines. They will also collaborate with AI and product teams to integrate machine learning workflows and optimize system performance and reliability.
Design, develop, and deploy custom Salesforce CRM solutions including integrations and AI-enabled workflows. Collaborate with stakeholders to define technical requirements and maintain high code quality through testing and documentation.
Develop and maintain Java-based backend services and data processing components while building scalable solutions for data ingestion and system integration. Collaborate with cross-functional teams to design, test, and support production operations for data-driven services.
You will design, build, and improve plugin-based forecasting models end-to-end, from feature engineering to production deployment. You will also leverage AI and agentic tools to solve complex forecasting problems while collaborating directly with customers and cross-functional stakeholders.
You will design, develop, and maintain object-oriented applications using Java and JavaScript while working with data in a Data Lake. Additionally, you will participate in CI/CD processes and collaborate with cross-functional teams to investigate and resolve technical issues.
The ServiceNow AI Engineer will design, develop, and deploy AI-driven applications and workflows on the ServiceNow platform. They are also responsible for managing the full application development lifecycle, including coding, testing, and integrating machine learning solutions into existing modules.
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Develop and optimize creative playable ads in HTML5 format to ensure a high-quality user experience. Collaborate with marketing, creative producers, and artists to build engaging game demos and improve AI-based development workflows.
The role involves supporting the global Oracle E-Business Suite R12.2.7 footprint within the Procure-to-Pay domain, including invoice processing and bank reconciliation. It also requires managing downstream integrations and supporting the roadmap for AI-enabled invoice detection and cloud-based solutions.
The Data Architect will own the end-to-end design and implementation of data platforms, including ingestion, lakehouse layers, and transformation pipelines. They will also be responsible for writing code, deploying models, and establishing governance practices across the team.
The Security Engineer will collaborate with the Partner Ecosystem team to demonstrate security solutions and manage technical engagements with GSI partners. Responsibilities include conducting proof-of-concepts, responding to RFIs/RFPs, and educating partners on advanced cybersecurity technologies.
You will lead the technical design and implementation of partner integrations while managing the full lifecycle of services and AWS infrastructure. Additionally, you will leverage AI-powered tools to automate workflows, monitor performance, and ensure high availability of integration services.
Develop, maintain, and enhance high-performance C++ desktop components while ensuring system stability and IT security. Collaborate with cross-functional teams to analyze software architecture and remediate vulnerabilities using AI-assisted workflows.
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The Field Service Engineer is responsible for performing installation, maintenance, and repair services on Proteomic systems at customer sites. They must troubleshoot complex hardware and software issues while maintaining high levels of customer satisfaction.
The Field Service Engineer is responsible for the installation, maintenance, troubleshooting, and repair of mass spectrometry and trace elemental analysis equipment. They will also provide technical training to customers and support the sales of service contracts and upgrades.
The engineer will design and maintain automation test suites for large-scale data processing systems while collaborating across product teams. They are responsible for monitoring QA CI/CD pipelines and conducting root cause analysis to improve application stability and efficiency.
Design, build, and operate a central AI services platform including model gateways, RAG-as-a-service, and observability tools. Partner with product engineering teams to onboard AI features and ensure high operational standards for production AI services.
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