Remote Senior Software Development Jobs
22,137 Senior Software Development jobs available for remote work from home. Apply for positions such as Senior Full Stack Software Engineer (Brazil), Senior Full Stack Software Engineer (Argentina), Forward Deployed Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and build scalable backend microservices, chat platform components, and conversational interfaces for remittance services across web and mobile. Manage cloud infrastructure and integrations, collaborate with product and design teams, mentor junior developers, and improve chatbot experiences using customer feedback and analytics.
Design and build scalable backend microservices, chat platform components, and web, mobile, and conversational interfaces for remittance services. Manage cloud infrastructure and integrations, collaborate with cross-functional teams, mentor junior developers, and improve chatbot experiences using customer feedback and analytics.
Own the full lifecycle of customer-facing software solutions, from analyzing and designing systems through implementation, release, and production operations. Collaborate with customers and internal teams to clarify requirements, make architectural decisions, deliver scalable and reliable services, and communicate designs and outcomes.
Develop and maintain mobile applications for network professionals, including shared Kotlin Multiplatform components for networking, data, synchronization, and device protocols. Work on native iOS and Android shells and Vue/TypeScript interfaces, and maintain CI/CD pipelines and app store releases.
Build and maintain Yocto-based Linux images, board support packages, and Linux kernel drivers for two Wi-Fi and network measurement devices, including debugging on real hardware. Maintain the image build and release CI/CD pipeline, implement secure boot and signed OTA updates, and keep the shared Linux platform maintainable across hardware generations.
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Own the databases and storage platform products, including provisioning, backups and recovery, upgrades, capacity, and database tuning, while sharing ownership of networking. Lead incidents and migrations, participate in on-call and postmortems, and turn engineering teams’ feedback into platform product roadmaps and self-service capabilities.
Build and maintain scalable Python-based external reconnaissance workflows that discover assets, process messy data, model identity and attack-path relationships, and safely automate multi-step attack scenarios. Research emerging offensive techniques, validate them in test environments, contribute to product coverage and engineering standards, and mentor and collaborate with teammates.
Design, build, and operate backend services for external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, data lakes, GraphQL and graph-based APIs, and Kubernetes infrastructure. Own service performance, reliability, observability, and scalability while collaborating with product and frontend teams on architecture and user-facing capabilities.
Build and maintain backend services using TypeScript and Node.js, integrating third-party APIs and external data services while producing clean, tested code. Use AI tools in development workflows, collaborate proactively with a remote team, and identify and resolve bugs, performance issues, and architectural risks.
Design and deliver secure, compliant case-management applications using Dynamics 365 and Power Platform, including integrations, workflows, reporting, dashboards, and governance controls. Collaborate with stakeholders and technical teams throughout requirements analysis, development, testing, troubleshooting, documentation, deployment, and ongoing support.
You will manage and optimize large-scale GPU training platforms and distributed training workloads on GKE. Additionally, you will partner with infrastructure teams to benchmark performance, debug bottlenecks, and ensure the reliability of AI model training pipelines.
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Gather, analyze, and document business requirements while applying Agile practices and financial services expertise to support project delivery. Analyze workflows and data flows, optimize processes, and facilitate integration between transactional systems in a distributed team environment.
Deliver contact center analyses and strategic consulting for clients, turning operational and sales data into actionable insights and recommendations. Develop measurement plans and analytical presentations, manage project delivery and client communication, and maintain SOPs and process documentation.
The Project Manager will provide end-to-end project governance, manage scope, schedule, and budget, and ensure compliance with SOW terms. They will also serve as the primary point of contact for stakeholders, facilitating meetings and driving accountability across cross-functional technical teams.
Build and operate cloud infrastructure and reusable deployment and observability patterns for AI solutions, data pipelines, APIs, and agents, primarily on Azure with some AWS. Automate provisioning and operations, support cloud architecture decisions, enforce security and resilience standards, and help international IT teams onboard, troubleshoot, and scale environments.
Own the data platform end to end, building concurrent ingestion from APIs, webhooks, files, and web scraping, and orchestrating scheduled and event-driven workflows. Establish reliable raw-to-curated data pipelines with recovery, data quality, and monitoring, while supporting provider enrichment and LLM-based extraction.
Lead and mentor the quest engineering team, including managing direct reports, supporting career development, and guiding code quality and technical execution. Partner with quest designers, directors, and shared technology teams to develop and optimize quest systems and tools, integrate them across game components, and deliver high-quality C++ code.
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Deploy, maintain, upgrade, and troubleshoot customer software and enterprise data platforms across on-premises and cloud environments, while monitoring system health and responding to incidents. Support backup and recovery, use automation and operational tools to improve consistency, and serve as a customer-facing technical advisor and escalation point.
Evaluate revenue recognition implications of new products, pricing, partnerships, strategic transactions, and complex commercial deals, and prepare supporting technical accounting documentation. Advise cross-functional teams on ASC 606, shape revenue policy and business decisions early, review contract write-ups, and support scalable accounting systems and process improvements.
Lead QA resources and establish testing strategy, governance, standards, and quality metrics for Salesforce solutions supporting federal programs. Oversee Salesforce testing and automation, coordinate UAT with government stakeholders, and maintain compliance documentation and audit traceability.
Design, evaluate, and deploy production machine learning models for personalization and recommendations, including foundational representations, retrieval, ranking, and generative approaches. Own the full ML lifecycle, run offline evaluations and online experiments, and collaborate across teams to build reliable, scalable systems and communicate measurable impact.
Design, build, and maintain a customer-facing network security migration product and its underlying libraries, emphasizing self-service workflows, predictable behavior, and reusable capabilities. Lead technical initiatives from design through release, shape architecture and testing, coordinate dependencies across teams, and promote effective AI-assisted engineering practices.
Own technical relationships for a portfolio of customer accounts, leading onboarding and implementation, troubleshooting data integration issues, and guiding customers through escalations and difficult conversations. Identify and communicate risks early, translate technical issues for different audiences, coordinate with Customer Success, Support, Sales, and Engineering, and mentor other Solutions Architects.
You will design and maintain high-performance data lakehouse infrastructure, focusing on reliable data maintenance workflows for Apache Iceberg. Additionally, you will contribute to a Rust-based SQL query router and manage production-grade systems, including on-call responsibilities.
Provide engineering and troubleshooting support across the operating solar fleet, resolving equipment failures, recurring performance issues, and reliability concerns from the PV array through the point of interconnection. Lead corrective actions and reliability improvements, coordinate with vendors and cross-functional teams, and support project turnover, design reviews, and operational processes.
Develop and commission customer-specific motion control and automation solutions, including system architecture, drive and servo configuration, PLC/HMI programming, testing, and troubleshooting. Partner with Sales and customers on solution development, technical support, demonstrations, training, proposals, and regional field activities.
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Develop and deliver full-stack AI-powered applications, extend Unframe’s platform and user experience, and integrate AI capabilities into production. Collaborate with enterprise customers and internal teams to tailor solutions and ship clean, tested, maintainable code.
Design, build, and maintain scalable backend systems, APIs, and platform services deployed on AWS, contributing to architecture, performance, reliability, and code quality. Collaborate with Product, DevOps, and Security, participate in Agile practices and code reviews, mentor engineers, and use AI development tools to accelerate delivery and automate engineering work.
Lead complex water and environmental proposals and shortlist interviews, managing pursuit strategy, compliance, team coordination, writing, editing, design, and final production. Mentor colleagues, advise pursuit teams, and lead or support improvements to proposal processes, tools, training, and content.
Develop and ship full-stack AI-powered applications using Unframe’s platform, extending its platform and UI/UX capabilities as needed. Work with enterprise customers and internal product, platform, and research teams to tailor solutions and integrate AI capabilities into production.
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