Remote Software Development Jobs
Browse 45,331 remote software development jobs, with 4,965 added this week. These roles pay $156,022 a year on average, from $85K for entry-level roles to $192K for lead roles. You'll see openings like Software Engineer, Architect and Full Stack Developer.
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You will modernize and migrate data-platform infrastructure while ensuring secure, governed data accessibility across cloud environments. Additionally, you will participate in production troubleshooting, incident response, and the creation of documentation and runbooks.
The Network Engineer will design, implement, and support enterprise LAN/WAN infrastructure while ensuring secure connectivity across global operations. They will also serve as an escalation point for network incidents, manage device lifecycles, and collaborate with cross-functional teams to maintain network health.
Own the end-to-end architecture and delivery of scalable, cost-efficient AI/ML infrastructure, including GPU clusters and distributed training environments across compute, networking, storage, orchestration, and model serving. Set technical direction and infrastructure roadmaps, lead architecture reviews and optimization, and mentor teams while ensuring performance, reliability, security, compliance, and business SLA alignment.
The architect defines and maintains the MarTech architecture strategy while ensuring alignment with data architecture and AI-enabled future goals. They act as a connector across cross-functional business teams to ensure interoperability, scalability, and the adoption of reusable architectural standards.
The Software Engineer II, Data builds and maintains enterprise data ingestion, transformation, and integration solutions using Microsoft Fabric and Azure. This role involves designing scalable data models, troubleshooting pipeline performance, and ensuring data quality across various enterprise formats.
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Develop, test, and maintain data interfaces and scripts to support claims processing systems while ensuring data integrity. Collaborate with stakeholders and technical teams to provide data extracts, reports, and technical solutions for system performance.
The Senior Trust Engineer is responsible for designing and implementing security and compliance controls across the platform while leading technical security initiatives. They will own the security roadmap, manage incident response policies, and partner with engineering teams to integrate security into development workflows.
Resolve user and system issues, manage high-priority support tickets within service-level agreements, and maintain user and system uptime through remote troubleshooting and vendor coordination. Configure, install, maintain, and troubleshoot computers, peripherals, accounts, and basic server infrastructure, while supporting upgrades and new technology deployments.
The AI Data Science Analyst will support the design and implementation of AI, ML, and GenAI solutions to optimize clinical trial execution and R&D workflows. They will also develop automated documentation workflows and ensure all AI outputs meet regulatory and privacy standards.
Support the design, development, and implementation of AI, machine learning, generative AI, and agentic AI solutions to improve clinical trial execution and R&D workflows. Help develop automated clinical documentation applications and evaluate generative AI outputs for accuracy, relevance, consistency, usability, and compliance.
The Senior BI Engineer will lead data initiatives, maintain data flow across systems, and build scalable data models to drive business growth. They will partner with cross-functional teams to ensure data quality and generate actionable insights through dashboards and predictive analysis.
The engineer will build and maintain security tooling to validate controls and collaborate with development teams to ensure software is secure by design. They will also lead threat modeling, automate penetration testing, and contribute to incident response efforts.
Design and build scalable data pipelines, curated datasets, and semantic models to support insurance analytics and AI initiatives. Lead the delivery of data products and dashboards while collaborating with cross-functional teams to ensure data reliability and performance.
The candidate will lead the design, development, and delivery of customized AI-driven bot applications and virtual agents across Genesys platforms. They are responsible for managing strategic project initiatives, conducting customer workshops, and providing technical consulting to ensure successful deployment.
The Citrix Architect serves as the technical authority for the organization's virtualization platform, leading complex upgrades, migrations, and high-severity incident investigations. This role also drives the profile management strategy, evaluates new technologies through POCs, and implements automation to optimize system performance.
The consultant is responsible for constructing forecasts, recommendations, and strategic plans based on business data and market knowledge. They will provide analytic support and consultancy to internal and external stakeholders regarding population health and insurance outcomes.
The Senior Enterprise Architect translates business needs into technical systems solutions and architectural roadmaps to support digital transformation and cloud adoption. They lead architecture planning, define target-state architectures, and collaborate with cross-functional teams to ensure technology decisions align with enterprise standards and security requirements.
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The Data Science Engineer will design, build, and maintain data pipelines, models, and platform components to support enterprise operations and analytics. They are responsible for ensuring data quality, implementing security controls, and translating business requirements into reliable technical solutions.
The API Test Engineer will improve software quality through structured testing, automation, defect analysis, and release validation. They will partner with product and engineering teams to strengthen test coverage and reduce delivery risk.
The engineer will design and maintain mobile automation suites for native, hybrid, and mobile web applications using Appium. They will also integrate test execution into CI/CD workflows and collaborate with developers to troubleshoot device-specific issues.
The Android Developer will design, develop, and test mobile application features while ensuring high performance and secure data handling. They will also collaborate with cross-functional teams including product, design, and backend to integrate APIs and maintain reliable mobile solutions.
The Accessibility Test Engineer will evaluate digital applications for usability and accessibility using both automated scans and manual assistive-technology testing. They will document findings, collaborate with cross-functional teams on remediation, and integrate accessibility validation into the software delivery process.
The Applied AI Engineer will design and implement AI-enabled features by integrating machine learning models into enterprise software applications. They will also develop data and inference workflows while collaborating with cross-functional teams to ensure model quality, reliability, and performance.
The Test Data Engineer will design and maintain reliable test-data solutions, including provisioning, generation, and refresh processes. They will also collaborate with engineering teams to implement data masking and synthetic datasets to ensure accurate testing across environments.
Develop or guide mobile application features, architecture, and reusable components, integrating APIs, identity, analytics, notifications, and device capabilities. Ensure applications are responsive, accessible, performant, and secure; create automated tests, troubleshoot issues, and coordinate with product, design, backend, QA, and release teams.
The engineer will develop and integrate image and video analysis solutions for enterprise applications, including model training and inference optimization. They will also be responsible for preparing visual datasets and collaborating with cross-functional teams to deploy reliable visual intelligence.
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The Cypress Automation Engineer will design and maintain automated test suites for web applications and services. They will integrate these tests into CI/CD pipelines and collaborate with developers to identify and resolve defects early in the development lifecycle.
The Manual QA Engineer will improve software quality through structured testing, automation, defect analysis, and release validation. They will partner with product and engineering teams to strengthen test coverage and reduce delivery risk.
The Generative AI Engineer will design and develop applications using large language models, focusing on retrieval-augmented generation and prompt workflows. The role involves integrating AI capabilities into enterprise systems while ensuring accuracy, latency, and cost-efficiency.
The iOS Developer will design, develop, and test mobile application features while managing application architecture and API integrations. They will also collaborate with cross-functional teams to ensure high performance, accessibility, and secure data handling throughout the delivery lifecycle.
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The average salary for remote software developers is $156,022 per year. This is based on data from 7,232 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Entry-level0–2 years | 122 | $84,738 |
| Junior2–5 years | 1,479 | $124,376 |
| Senior5–10 years | 4,013 | $155,273 |
| Lead10+ years | 1,618 | $192,179 |
We reviewed 17,743 job postings for remote software developers and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 34% |
| SQL | 21% |
| CI/CD | 19% |
| AWS | 16% |
| Kubernetes | 13% |
| TypeScript | 11% |
| Terraform | 10% |
| Java | 10% |
| JavaScript | 10% |
| Stakeholder management | 9% |
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