Remote Senior Software Development Jobs
22,100 Senior Software Development jobs available for remote work from home. Apply for positions such as Sr. Validation Engineer, Validation Engineer, Contract Staff Software Engineer - Performance Graphics (C++,Rust, WebGL) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Sr. Validation Engineer will lead and support validation activities for equipment, utilities, and computerized systems within GMP-regulated environments. This role involves providing QA oversight for MES/eBR implementations and ensuring all documentation meets regulatory and data integrity standards.
The Validation Engineer will generate and execute validation lifecycle documentation for equipment, utilities, and computerized systems within GMP-regulated environments. They will also provide oversight for MES and eBR implementation while ensuring compliance with regulatory requirements and data integrity standards.
The role involves maintaining the Firefox graphics area by handling bug fixes, regressions, and test upkeep. You will diagnose and resolve graphics issues across multiple platforms while performing code reviews to support the engineering team.
You will lead technical initiatives by architecting scalable solutions and writing high-quality code in a collaborative development team. The role involves diagnosing complex production issues and mentoring other engineers to ensure system reliability and performance.
The Data Architect will define and govern the enterprise data architecture for a modern Azure-based platform while reverse engineering the Avatar NX EHR data model. This role involves establishing scalable data ecosystems, managing integration strategies across clinical and financial systems, and ensuring data quality and governance.
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Manage customer communication and provide technical support via phone, email, and chat for enterprise accounts. Act as a liaison between customers and internal teams while troubleshooting and escalating complex technical issues.
You will own the end-to-end technical relationship with enterprise customers, designing and implementing high-impact AI solutions on the Moveworks Platform. This involves serving as a primary technical advisor, building secure integrations, and collaborating with internal engineering teams to influence product evolution.
You will leverage your front-office fixed income e-trading experience to shape trader-facing tools and features. You will collaborate with Product and Engineering teams to translate trading workflows and business problems into clear requirements and software solutions.
The specialist will design and maintain training resources for the firm's productivity stack while acting as a bridge between technical capabilities and business needs. They will also facilitate AI adoption by managing an AI hub, supporting an AI champion network, and translating technical features into practical business use cases.
The Technical Lead is responsible for the technical quality and on-time delivery of React and .NET projects while leading a team of 4-8 engineers. This role involves hands-on coding, solution architecture, sprint planning, and acting as the primary technical point of contact for international clients.
Design and ship end-to-end internal tools, services, and interfaces while integrating AI capabilities like LLMs and RAG. Collaborate across business teams to build scalable solutions that automate workflows and improve operational efficiency.
Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery for model-training and real-time inference. Oversee vector data stores and implement AI-backed analytics solutions to enable advanced search and retrieval patterns.
The Application Support Engineer will deploy, maintain, and optimize enterprise web applications within Microsoft Azure and Windows Server environments. This role involves troubleshooting complex infrastructure issues, managing client support tickets, and developing automation tools to streamline software delivery.
The Senior Application Support Engineer will troubleshoot complex customer incidents, perform root cause analysis, and maintain software tools for implementation projects. They will also provide technical leadership and mentorship to junior developers and support teams while participating in an on-call production support rotation.
The NPI Engineer will act as the on-site quality representative at contract manufacturers, overseeing end-to-end quality processes for optical transceivers and sub-assemblies. They will also drive root cause analysis for quality incidents and collaborate with cross-functional teams to ensure successful product ramp-up.
The Senior BI Analyst will develop and maintain Power BI dashboards while automating recurring reporting processes to support business planning and P&L. They are responsible for gathering business requirements, ensuring data integrity, and delivering end-to-end analytical solutions for key product metrics.
Design and tune PID and advanced controllers for deployment on physical systems like robotics or industrial hardware. Develop and validate plant models using first principles and implement control algorithms in Python.
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The Lead Cloud Solutions Architect serves as the senior client-facing technology leader, partnering with stakeholders to develop scalable cloud strategies and solutions. This role guides engagements from initial concept through deployment, ensuring alignment with business objectives and enterprise standards.
You will architect and deploy autonomous AI agents and MCP servers to automate internal workflows and integrate various SaaS tools. Additionally, you will manage the internal data platform on Databricks to ensure it is optimized for AI-ready, high-leverage business applications.
The Technical Product Manager will define end-to-end AI system requirements and translate model capabilities into clear product decisions. They will collaborate with engineering teams to design, evaluate, and iterate on AI features while balancing quality, latency, and user trust.
Lead the end-to-end architectural design and technical delivery of Salesforce Consumer Goods Cloud solutions. Bridge the gap between business strategy and technology by translating complex commercial goals into scalable system architectures.
You will lead the end-to-end architectural design and technical delivery of Salesforce Consumer Goods Cloud solutions. This involves bridging business strategy with technology, managing cross-functional teams, and ensuring robust system integration and performance.
Lead the migration of a legacy e-commerce platform to a modern .NET 8 and Angular architecture while driving the re-platforming to Azure. Manage concurrent workstreams including production maintenance, migration, and the development of a greenfield Order Management System.
Develop and maintain ingestion and ETL/ELT pipelines using Microsoft Fabric to support analytics-ready lakehouse and warehouse models. Ensure data quality, performance optimization, and resilient workflow orchestration while collaborating with cross-functional teams.
You will build and lead processes to ensure the reliability, availability, scalability, and performance of ClickHouse cloud infrastructure. Additionally, you will manage incident response, establish service level objectives, and develop software platforms to optimize operational efficiency.
The Senior Machine Learning Systems Engineer will design, build, and operate the machine learning platform to enable scalable ML solutions across the organization. They will also maintain pipelines, tooling, and infrastructure for model training, deployment, and monitoring to ensure high-impact AI product delivery.
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You will design, develop, and optimize scalable and secure cloud platforms using AWS and Infrastructure-as-Code tools. Additionally, you will create self-service solutions and CI/CD pipelines to empower development teams to operate their workloads independently.
Conduct penetration tests and security assessments on OT and ICS environments, including industrial protocols and hardware. Document findings, perform risk assessments, and collaborate with operators to implement hardening measures and detection strategies.
You will design and implement robust REST APIs and build cloud platform functionality to manage networking in the Akamai Cloud. Additionally, you will develop internal libraries and microservices while collaborating on architectural design and code reviews.
You will architect and deploy a hierarchical multi-agent platform using LangGraph to transition legacy workflows into autonomous systems. Additionally, you will implement observability, automated evaluation harnesses, and security guardrails to ensure high-performing AI agent reliability.
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