Remote Senior Software Development Jobs
22,121 Senior Software Development jobs available for remote work from home. Apply for positions such as Cloud Comp Engr Principal, Actuarial Pricing Business Analyst, Senior Software Engineer - Open Source (RD217) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and operate secure cloud infrastructure and data platforms across AWS and OCI environments. Develop infrastructure as code and automated data pipelines while implementing security controls and AI-driven operational improvements.
The role involves acting as a functional bridge between clients and technical teams to translate business needs into actuarial solutions and technical specifications. Responsibilities include gathering reporting requirements, managing project deliverables, and ensuring compliance with data privacy guidelines.
The engineer will lead the design, implementation, and maintenance of cloud native software while stewarding open source products and ecosystems. They will collaborate with internal teams and community contributors to ensure high-quality technical execution and mission-focused end-user experiences.
The specialist will support the production environment of SAP SuccessFactors Employee Central. Responsibilities include managing data migration, developing inbound/outbound interfaces, and preparing technical design documentation.
Develop and refine automated test-generation tools to validate RISC-V processor behavior and ensure compliance with architectural specifications. Adapt existing test programs to exercise processor cores in supervisor-mode to simulate real operating system environments.
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The role involves designing and implementing robust, scalable end-to-end solutions on the Salesforce platform. You will act as a technical reference for architecture, complex automations, and integrations while ensuring high standards of security and governance.
The Senior MuleSoft Developer will architect, build, and maintain complex integration solutions using the Anypoint Platform while ensuring high performance and scalability. Additionally, the role involves leading technical discussions, mentoring junior developers, and upholding best practices in code quality and security.
Design and build backend services to orchestrate and manage database clusters within the ClickHouse Cloud platform. Collaborate with cross-functional teams to improve observability, deployment safety, and overall system reliability.
Design, develop, and test customizations for Microsoft Dynamics F&SCM while collaborating with functional consultants and business leaders. Maintain detailed project documentation and ensure high-quality code delivery within established project deadlines.
The Support Engineer will own the end-to-end technical and functional customer support experience, troubleshooting complex issues across the API-driven platform. They will collaborate with internal engineering teams and customers to resolve technical challenges while creating documentation to improve team and client self-sufficiency.
The Senior Data Analyst will develop scalable analytics assets for finance and revenue cycle management while connecting operational activity to financial performance. They will partner with executive stakeholders to translate complex data into actionable insights and measurable business value.
Design and implement modern lakehouse architectures using Microsoft Fabric and Databricks while building performant ELT/ETL pipelines. Act as a trusted technical advisor to enterprise clients by delivering complex Power BI reports and scalable semantic models.
The Field Application Engineer is responsible for providing technical design support to OEM engineers and managing projects through the product development lifecycle. They must coordinate internal activities and customer requirements to ensure design targets are met while maintaining strong business relationships.
You will design and scale CI/CD pipelines while managing Kubernetes clusters and infrastructure automation. Additionally, you will partner with engineering teams to build observability tooling and support incident response.
Design, develop, and maintain enterprise-grade backend services while providing technical leadership across teams. Collaborate with cross-functional stakeholders to ensure seamless integration, performance optimization, and reliable delivery of scalable solutions.
The Senior Business Analyst will lead the definition, documentation, and delivery of policy solutions while working closely with clients and development teams. They are responsible for owning requirements for the policy lifecycle, guiding design decisions, and ensuring system configuration aligns with client objectives.
This role involves providing senior-level support for network systems, including complex troubleshooting, proactive issue investigation, and project coordination. The engineer will also maintain technical documentation, mentor junior staff, and manage vendor relationships.
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The Technical Account Manager will serve as a customer advocate, providing technical guidance on public cloud best practices and managing the technical relationship. They will conduct regular environment reviews, manage cloud spend visibility, and act as an escalation point for support engineers.
The Product Manager owns the strategy, roadmap, and adoption of the enterprise Data & AI platform, ensuring it meets the needs of data and AI product teams. They partner with engineering and architecture to build scalable, governed, self-service data foundations while balancing technical debt and enterprise priorities.
The Senior BI Analyst designs and implements data solutions to support business objectives across finance, HR, and conservation programs. They serve as a technical lead on analytics projects and advance the use of AI-enhanced tools to improve organizational efficiency.
You will architect durable data models and design reliable workflows to generate high-quality data assets for the single-family home market. Additionally, you will establish engineering standards and collaborate closely with data science and product teams to build impactful data products.
The Senior Cloud Security Engineer will design and implement security guardrails, automation, and detection across AWS, GCP, and Azure environments. They will partner with engineering teams to integrate security into CI/CD pipelines and Infrastructure as Code while maintaining compliance standards.
You will design, develop, test, and deploy high-quality business solutions on the Salesforce platform while maintaining system security and performance. Additionally, you will collaborate with stakeholders to resolve technical issues and manage various project priorities using Agile methodologies.
The Data Security Engineer implements and maintains security controls to protect institutional data across enterprise platforms like Microsoft Fabric and Databricks. They also automate security deployments, perform entitlement reviews, and provide technical guidance to teams on secure data solutions.
Lead the design and evolution of enterprise data architecture, including defining scalable data models and patterns for R&D and business domains. Collaborate with cross-functional teams to implement data pipelines, governance standards, and CI/CD-enabled reference implementations.
Design and build scalable, cloud-native planning and optimization platforms to solve complex logistics and freight transportation challenges. Collaborate with cross-functional teams including data scientists and product managers to integrate AI-driven decisioning and workflow orchestration into production systems.
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Collaborate with stakeholders to design and maintain scalable backend solutions using Java and REST APIs. Support live applications through monitoring, incident resolution, and the implementation of CI/CD pipelines.
The Business Analyst manages sales forecasting, territory data, and core operational workflows to ensure predictable revenue delivery. They also analyze sales trends to provide actionable insights and maintain data integrity across various sales systems.
The Manager of Tagging and Analytics will oversee data quality and tagging governance across the retail analytics ecosystem. They are responsible for managing vendor relationships, defining measurement strategies, and ensuring standardized data flows for business decision-making.
Build and deploy AI applications, agents, and workflow automations to solve business problems across various internal functions. Translate ambiguous business needs into technical delivery plans and ensure production-quality, maintainable solutions.
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