Remote Software Development Jobs
Browse 45,262 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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The Storage and Backup Engineer will design, implement, and maintain enterprise storage and backup architectures to ensure data availability and security. The role involves resolving complex incidents, performing system health monitoring, and automating routine operational tasks.
You will own the end-to-end engineering scope of regulatory reporting, including building pipelines, data models, and quality checks. You will collaborate with stakeholders to ensure reports are accurate, timely, and compliant with regulatory requirements.
Partner with Finance teams to build and scale trusted data models and products for treasury, reconciliation, accounting, and related reporting. Improve Finance processes through reliable integrations, data quality standards, and automation, while owning the data roadmap and mentoring others.
Develop and maintain the central data model, certified metrics, data pipelines, and semantic layer, including onboarding sources, quality checks, documentation, and recurring reporting. Partner with business stakeholders to improve processes and deliver traceable data for internal tools and AI agents, incorporating evaluated LLM steps where appropriate.
Assess Azure and AWS cloud environments, edge security, virtual machines, and infrastructure-as-code practices to identify vulnerabilities and configuration gaps. Define security hardening baselines and prioritize remediation activities for cloud and infrastructure teams.
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Assess and improve CI/CD security, establish risk-based vulnerability triage and tracking, integrate automated security scans and gates, and report progress to senior leadership. In Phase 2, lead cloud and infrastructure engineering activities and vulnerability management operations within the DevOps team.
Review code for security vulnerabilities, assess exploitability, and evaluate GCP-specific exposure, including identity, networking, storage, logging, and misconfigurations. Support security review quality through calibration, rubric development, reviewer alignment, adjudication tracking, benchmark versioning, and structured reporting.
Review code for security vulnerabilities, assess exploitability, and provide evidence-backed verdicts across common vulnerability classes and GCP-specific exposure. Support security review quality through calibration, rubric development, reviewer alignment, adjudication tracking, benchmark versioning, and structured reporting.
Build, evaluate, and deploy machine learning systems for product classification, document understanding, data quality, and retrieval, including models and AI agents connected to tools and data. Integrate these capabilities into production services and customer-facing workflows, while improving reliability, performance, monitoring, and documentation in collaboration with product, engineering, and domain teams.
Design, build, and optimize scalable, resilient backend storage systems and services on AWS, focusing on performance, reliability, security, and cost efficiency. Collaborate with engineering and product teams, support production incidents, improve infrastructure and observability, and mentor junior engineers.
Build and operate backend services and platform capabilities for AI-powered Jira Service Management experiences, including productionizing machine learning capabilities and owning projects from design through rollout. Improve reliability, observability, performance, and customer impact using production data, while collaborating across functions and contributing to code quality and team productivity.
Design, build, deploy, and operate enterprise AI solutions, including LLM applications, RAG workflows, intelligent agents, classification models, and decision-support tools. Establish evaluation and monitoring practices, improve production quality and reliability, and collaborate with Finance, Data Engineering, Security, Responsible AI, and other teams to deliver governed solutions.
Design and deploy scalable data pipelines, semantic layers, and retrieval-augmented generation (RAG) architectures to support enterprise finance analytics. Collaborate with AI engineers and governance teams to ensure data quality, security, and compliance across all finance data products.
Design and build production AI agent systems to diagnose, investigate, and remediate infrastructure issues across a large-scale GPU fleet. Develop distributed services, orchestration frameworks, and knowledge graphs to power infrastructure automation and fleet intelligence.
Build and maintain financial models, forecasts, cost attribution methods, and commitment strategies for cloud and AI spending, while leading cost optimization and regression initiatives across teams. Operate FinOps pipelines and tools using SRE practices, automate cost analysis, assess cost-reliability tradeoffs, and mentor junior team members.
Develop, test, tune, and maintain SIEM/EDR detections for priority attacker behaviors and control failures, validating telemetry and documenting logic, evidence, limitations, and analyst response paths. Build and support low-risk security workflows for enrichment, routing, evidence collection, and reporting, collaborating with SOC and incident response teams while escalating critical gaps and unsafe actions.
You will take end-to-end ownership of product features, from frontend architecture to backend services and cloud deployment. Additionally, you will collaborate with cross-functional teams to shape the product roadmap and mentor teammates in engineering best practices.
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Design and lead the implementation of secure, scalable network and security architectures for mid-market and enterprise customers, with a focus on Fortinet and Palo Alto Networks solutions. Deliver complex projects from requirements analysis and design through migration and go-live, then document and hand over solutions to operations.
You will own the product requirements document and drive the development of the SentinelAgent platform by coordinating with engineering, QA, and design teams. Your role involves ensuring regulatory compliance, managing the product roadmap, and translating sponsor needs into functional requirements while maintaining strict data guardrails.
Design and develop backend software for a multi-tenant SaaS platform using Python, Django, and PostgreSQL, creating efficient, testable systems and resolving software defects. Lead technical design efforts, collaborate with distributed teams, and contribute to team learning and shared processes through code reviews.
Build and maintain data pipelines into Snowflake, configure ingestion, and develop dbt models, tests, macros, documentation, and data layers. Use AI coding assistants and connected tools to accelerate workflows, validate AI-generated code, and contribute reusable templates and engineering standards.
Develop and improve data, metrics, analytics, dashboards, and data models across parts distribution and operational logistics to support data-driven decisions and optimize processes. Identify opportunities, recommend improvements, and lead cross-functional data solutions from requirements through implementation while ensuring governance, architecture, security, and business needs are addressed.
The AI/ML Engineer is responsible for building, deploying, and maintaining production-grade Generative AI and machine learning solutions. This role involves integrating LLM-powered applications, managing RAG pipelines, and ensuring operational maturity through MLOps practices.
![Smart Working Solutions is hiring for remote DevOps / Platform Engineer (Remote, Full-Time) [AS348]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
You will manage and scale production cloud infrastructure for an AI-native cybersecurity platform while owning build, deployment, and release pipelines. Additionally, you will implement observability, incident response, and automate operational tasks using AI agents.
You will build and manage an AI-native cybersecurity platform, developing backend services for security detection and AI-assisted resolution. The role involves end-to-end project ownership, including direct customer engagement and the integration of AI agents into security workflows.
Design, develop, and maintain complex Salesforce components and automated test suites within CI/CD pipelines. Collaborate with cross-functional teams to analyze requirements and deliver high-quality, integrated solutions for the energy and utilities sector.
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The Senior Display Cost Engineer will drive profitability by managing target costing, cost modeling, and technical definitions for display and vision systems. They will collaborate cross-functionally with procurement, engineering, and suppliers to establish design-to-cost targets and optimize manufacturing efficiency.
The Senior AI Developer will lead the design, development, and administration of enterprise-grade AI solutions using platforms like Microsoft Copilot and Azure AI Foundry. This role involves building AI-powered integrations, optimizing workflows, and ensuring the security and compliance of AI systems across the organization.
Design and develop core software features for the macOS sensor within the Falcon endpoint protection platform. Collaborate with cross-functional teams to deliver high-quality code while troubleshooting and resolving customer-reported issues.
The Senior Electronics Engineer will conduct research, design, development, and testing of digital, analogue, and radio frequency hardware. They will also provide technical guidance to junior team members and assist in the transition of products from prototype to production.
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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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