Top Remote Software Engineer Jobs

Lead the technical direction and architecture for Windows and macOS client software and its cloud integrations. Own synchronization, local state, reliability, secure protocols, enterprise identity, encrypted search, performance, diagnostics, testing, and release standards. Drive multi-team initiatives, make organization-wide architectural decisions, mentor senior engineers, represent engineering with customers and executives, and remain hands-on with critical software development.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Develop and maintain automated integration and deployment for components in a Kubernetes-based software stack. Manage third-party dependencies, validate compatibility, maintain integration workflows, troubleshoot cross-component issues, and ensure compatibility with NVIDIA hardware. The role requires extensive Linux software development experience, Python proficiency, Kubernetes and container expertise, and collaboration with QA, CI/CD, development teams, and upstream projects.

Build and scale NVIDIA’s AI infrastructure platform for GPU provisioning, configuration, lifecycle management, monitoring, health management, and distributed-system qualification. Develop automation for data center operations and machine learning systems, integrate hardware through AI applications, and work with GPU diagnostics, cluster and network telemetry, Kubernetes or SLURM, Linux, and fault-tolerant distributed architectures.

Leads full-stack software development projects, architects and maintains applications, resolves complex technical challenges, mentors engineers, and makes technical decisions in Scrum. Collaborates with business analysts and cross-functional teams to deliver solutions aligned with user and business needs. Oversees documentation, workflow processes, performance improvements, and adoption of relevant technologies. Requires experience with Microsoft platforms, SQL Server or similar DBMS, cloud networking, large-scale production systems, and preferably pharmaceutical, biotechnology, CRO, or imaging CRO environments.

Builds and leads development of a Cloud FinOps platform for multi-cloud cost optimization. Responsibilities include designing, testing, deploying, maintaining, monitoring, and optimizing production software; contributing to architecture and reusable code; supporting product and engineering teams; participating in Agile planning; and mentoring junior engineers. The role uses Go, React, TypeScript, Python, BigQuery, Terraform, GCP, Azure, and related cloud services.

Build and scale Airbnb’s AirChatUI AI prototyping harness and native macOS/iOS applications. Lead architecture and implementation across web prototyping, iOS deployment, AI agent integrations, AirChat tooling, and Kyber platform integration. Develop declarative UI features, collaborate with infrastructure, product, security, and design teams, and establish scalable iOS patterns. Enable designers and product managers to create production-oriented prototypes while maintaining quality, accessibility, performance, availability, and release standards.

Develop and review high-performance Java software for cloud-native payment infrastructure. Lead the software development lifecycle, define sprint goals, support product launches, ensure operational stability and security, and provide technical leadership and mentorship. Collaborate with product managers, architects, stakeholders, and clients to align solutions with business and regulatory requirements. Document architecture, create developer guides, and support knowledge transfer.

Leads technical strategy, architecture, and implementation for scalable clinical research software, data pipelines, and AI systems. Owns product-line architecture, resolves complex distributed-systems challenges, drives reliability, security, observability, and operational excellence, and mentors senior engineers. Builds information extraction and agentic AI applications, data modeling and processing pipelines, evaluation frameworks, and cost-efficient inference orchestration. Partners across Product, QA, Data Science, Architecture, Infrastructure, Cloud, and Support to deliver reliable, maintainable systems.

Develop and maintain semiconductor equipment automation and MES integrations using SECS/GEM, SEMI standards, Ignition, Python, REST APIs, and databases. Design equipment-to-host interfaces, station controllers, finite-state workflows, data collection, tags, and web or desktop applications. Validate MES processes, support SPC software, debug and host applications, and work with hardware and semiconductor manufacturing systems. The role also requires strong analytical, communication, leadership, project management, and application ownership skills.

Develop and operate reliable AI-powered backend systems for regulatory workflows. Translate customer problems into simple solutions, collaborate with Product and Design, write performant Python and Django code, and manage technical complexity across product projects. The role requires production Django experience, hands-on LLM integration without abstraction libraries, and the ability to move from experimentation through testing and production delivery.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Design and operate Go backend services for listing and settling prediction-market contracts. Lead migration from Python and Airflow, build provider data pipelines, reconcile events idempotently, and develop resilient settlement logic for failures and corrections. Establish engineering standards, make architecture decisions, mentor engineers, participate in on-call and incident response, and collaborate with trading, compliance, operations, and product teams.

Build and operate high-volume AWS data pipelines and bidirectional CRM integrations for educational fundraising systems. Design idempotent consumers, incremental synchronization, rate limiting, replay, migrations, monitoring, and partner-facing APIs. Collaborate with product, partner, data science, and CRM teams while improving AI-assisted engineering practices. Own major system components or end-to-end architecture, depending on level, and mentor teammates at the higher level.

Build and own end-to-end software features across Node.js backends, React web applications, React Native mobile apps, and Python jobs. Responsibilities include designing, testing, deploying, monitoring, and iterating on features; improving reliability through testing, alerts, monitoring, and on-call support; collaborating cross-functionally; and using SQL and production logs to investigate issues and identify insights.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Lead a portfolio company’s engineering function by writing production code, modernizing the software development lifecycle, coaching engineers, setting the product roadmap, and implementing AI-powered development and product capabilities. The role requires rapidly learning unfamiliar technology stacks, improving legacy codebases without rewrites, operating independently, and partnering closely with general managers, operators, and customers.

Lead development and optimization of NVIDIA’s Aerial platform for software-defined 5G/6G RAN systems. Develop baseband software in C, C++, Python, and CUDA; optimize CPU, GPU, and NIC performance; troubleshoot and integrate complex modules; conduct testing, demonstrations, benchmarking, and lab trials; and collaborate with engineering teams, customers, and telecommunications partners on system integration and technical solutions.

Lead development of full-stack, mission-critical products using Angular, React, Node.js, and AWS serverless technologies. Own projects from product definition through deployment, integrate GraphQL APIs and machine learning systems, improve developer experience and CI/CD, collaborate with clinicians and researchers, participate in customer discovery, and mentor engineers while shaping technical architecture and engineering culture.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Build and maintain backend storefront services powering BigCommerce, extend GraphQL APIs, support AI-driven shopping capabilities, resolve production issues, improve performance and reliability, review code, and collaborate on technical designs. The role requires production backend experience, API and service communication knowledge, observability and deployment practices, automated testing, and responsible use of AI coding assistants.