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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Serve as a senior technical advisor for enterprise and federal customers, architecting secure and scalable networking solutions. Lead customer workshops, Proof of Concepts, and technical strategy development while mentoring junior engineers.
Lead pre-sales technical engagements by designing and positioning advanced networking and security solutions for customers. Partner with sales teams to align technical strategies with business outcomes and deliver compelling proposals and demonstrations.
You will be responsible for building and refining gameplay systems across a diverse portfolio of game prototypes using Unreal Engine 5. This role involves driving feature areas end-to-end while collaborating with designers to ensure high-quality, performant, and maintainable code.
The Supplier Development Engineer will lead supplier qualification, feasibility assessments, and APQP activities to ensure robust product launches. They will also drive continuous improvement initiatives and provide technical expertise to resolve complex quality issues within the supply base.
You will be responsible for building and maintaining model-driven apps, canvas apps, and Power Pages sites using Dataverse and the Power Platform. Additionally, you will collaborate with the team to review code, set development patterns, and integrate solutions with AI agents and external APIs.
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Design and build multi-agent systems using Microsoft Agent Framework and Azure AI Foundry. Implement governance models, knowledge retrieval pipelines, and observability tools to ensure high-quality, secure AI deployments.
Lead the technical direction and hands-on delivery of applied machine learning initiatives to improve business outcomes. Build and operate end-to-end ML systems, including data pipelines, model training, deployment, and monitoring.
You will be responsible for architecting and building end-to-end card-related systems, including card issuing and lifecycle management. You will lead technical design for card certification processes and ensure the scalability and compliance of the payment infrastructure.
The role involves owning end-to-end quality assurance for the BigPay business, including test planning, execution, and release sign-off. You will also maintain and extend the automation regression framework while collaborating with cross-functional teams to ensure high-quality feature delivery.
Support the design and development of AI agent workflows and LLM-powered application components. Collaborate with engineering teams to build, test, and optimize production-grade AI systems.
Conduct technical research on AI and blockchain intersections to produce valuable insights and analysis. Build and validate technical prototypes (PoCs) to explore innovative applications in on-chain scenarios.
You will build and optimize core components of the Agent Runtime, including intent routing, RAG, and tool orchestration. Additionally, you will develop evaluation datasets and monitoring systems to ensure the reliability and performance of AI agent workflows.
![Software Mind is hiring for remote [8CA] Senior Software Engineer – MEAN](/assets/2083550c-5c59-4fae-b76e-a23e4817e5f2.jpeg){kind=small}
The Senior Software Engineer will design, develop, and maintain scalable applications using the MEAN stack while providing technical leadership and architectural guidance. They will also collaborate with cross-functional teams to modernize databases and support data analytics initiatives using Microsoft Power BI and Fabric.
Design, build, and maintain highly available, scalable, and secure cloud infrastructure across multiple cloud providers. Automate operational tasks and collaborate with engineering teams to improve platform reliability and developer experience.
Design and develop AI-powered productivity tools and LLM-integrated applications for internal engineering teams. Build AI agent workflows and infrastructure to optimize the software development lifecycle and improve engineering productivity.
You will build AI-powered tools such as coding assistants and knowledge retrieval systems to improve developer productivity. You will also collaborate with engineering teams to develop LLM-powered applications and implement AI-driven solutions.
Assist in the development of AI tools, including coding assistants, automation scripts, and LLM-based applications. Contribute to engineering efficiency initiatives while researching and experimenting with emerging AI technologies.
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You will design and develop AI agent workflows, LLM-powered application components, and backend integrations. Additionally, you will assist in defining evaluation metrics, running benchmarks, and analyzing system performance to improve reliability and quality.
Develop an enterprise-grade conversational agent platform to support core business scenarios such as AI search and trading assistant Q&A. Design and implement multi-turn conversation capabilities, including contextual memory, tool calling, and workflow orchestration.
You will build and maintain the core data foundation for stock and financial market businesses, managing the full pipeline from ingestion to real-time processing and quality governance. Additionally, you will design scalable data models and collaborate with AI and trading teams to ensure reliable data delivery for business scenarios.
Design, build, and operate backend services, RESTful APIs, and data pipelines for compliance and analytics products, including indexing on-chain activity across blockchains. Own features from design through deployment and monitoring, optimize data stores and production services, and collaborate with compliance and product specialists to translate regulatory requirements into technical solutions.
Design and optimize data processing and retrieval pipelines for generative AI applications including RAG and multimodal systems. Collaborate with infrastructure teams to integrate these pipelines into production while researching advanced AI-native retrieval algorithms.
Design and productionize LLM pipelines and multi-agent systems for crypto market analysis and trading workflows, improving reasoning, tool selection, reliability, latency, and cost efficiency. Build evaluation frameworks, apply test-time scaling methods, integrate on-chain and market data, and collaborate with research scientists to bring experimental findings into production.
You will analyze large volumes of transactional and operational data to build algorithmic systems and complex visualizations that support compliance and regulatory requirements. Additionally, you will lead a multidisciplinary team to deliver impactful analytical use cases and improve business efficiency.
Design end-to-end evaluation plans, metrics, rubrics, datasets, and benchmarks for LLMs in dialogue, financial trading, and other business scenarios. Analyze evaluation results to identify model limitations and recommend improvements, while building automated evaluation tools and collaborating with algorithm, product, and data teams to drive model iteration.
Architect and maintain highly available, massive-scale distributed systems while modernizing backend services. Lead technical execution, mentor junior engineers, and ensure high code quality and observability across cloud environments.
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You will design and build robust backend systems to handle large-scale energy data, including smart meter readings and machine learning pipelines. You will also collaborate with a multidisciplinary team to solve complex domain modelling challenges in the Japanese energy market.
You will partner with development teams to manage application security vulnerabilities within a Clojure-based ecosystem. Additionally, you will monitor cloud security posture using SIEM/SOAR tools and conduct risk assessments to ensure compliance.
Design, deploy, and manage scalable Kubernetes and HPC platforms to support AI/ML and compute-intensive workloads. Implement infrastructure automation, CI/CD pipelines, and optimize performance across distributed cloud and on-premises environments.
Act as a trusted advisor to enterprise customers by designing, validating, and deploying vSphere Kubernetes Service solutions on VMware Cloud Foundation. Lead technical discovery sessions, workshops, and proof-of-concepts to drive platform adoption and align with customer modernization goals.
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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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