Remote Senior Software Development Jobs
22,121 Senior Software Development jobs available for remote work from home. Apply for positions such as AI Solution Architect, Senior Systems Integration Consultant, Senior Database Engineer II and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Identify AI opportunities across products and translate business needs into secure, scalable solution architectures, roadmaps, and implementation plans. Guide governance and responsible AI adoption, support teams through workshops and documentation, and contribute to AI proofs of concept, pilots, and production deployments.
Develop, maintain, and enhance system integration modules that synchronize data and workflows between enterprise applications and external systems. Participate in the full product development lifecycle, communicate with stakeholders, provide task estimates and status updates, and improve quality through testing, code reviews, and technical improvements.
Design, develop, and optimize SQL Server database systems for high-transaction applications, ensuring data integrity, performance, and scalability. Partner with architects, engineering, and DevOps teams to evolve AWS data architecture, troubleshoot database issues, and prototype new technologies.
Analyze requirements and develop test scripts, test cases, test data, and traceability matrices for SAP modules, workflows, integrations, and customizations. Execute functional tests, document and track defects, collaborate with technical and business stakeholders, participate in Agile ceremonies, and improve testing practices.
Lead observability design and OpenTelemetry telemetry pipelines across products, platform services, data pipelines, and internal systems, while establishing service-level indicators, objectives, error budgets, dashboards, alerts, and runbooks. Build end-to-end observability for AI and agentic workflows, including tracing, quality and cost signals, and privacy controls, and support on-call response, failure testing, and capacity planning.
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Lead the ISO 27001 ISMS and coordinate security audits, assessments, control testing, risk evaluations, and remediation across business and technology teams. Maintain security risk and governance documentation, support policy and control improvements, and provide security expertise for client due diligence, technology initiatives, and broader security priorities.
Support the development, integration, verification, and operation of space systems, including mission architectures, spacecraft and payload integration, requirements, interfaces, and operational concepts. Contribute to testing and readiness activities, technical reviews, supplier coordination, risk resolution, and mentoring junior engineers.
Gather, analyze, and document business and technical requirements, translating them into user stories, acceptance criteria, process models, and specifications for enterprise software products. Partner with stakeholders and Agile delivery teams to support Azure-based product development, evaluate AI-enabled use cases, and ensure solutions meet business, security, and operational needs.
Design and build scalable, cloud-native SaaS platforms and production-ready AI agents, including Graph-RAG solutions, while leading architectural decisions and developing high-performance APIs. Guide engineering teams on architecture, cloud infrastructure, and data platforms, and collaborate with product, sales, customer success, and engineering teams on technical solutions.
Complete backlog items, support team solutions and products, and implement networking solutions according to best practices and standards. Improve efficiency through automation and produce clear documentation and dashboards.
Lead the design, implementation, deployment, and operation of secure, reliable AI-enabled products and internal tools, while establishing reusable architectures and responsible AI practices. Partner with stakeholders to prioritize AI opportunities, evaluate models and platforms, measure outcomes, and mentor colleagues in effective AI use.
Lead the design, implementation, and optimization of Salesforce Sales Cloud and Experience Cloud solutions that operationalize go-to-market processes and workflows. Partner with cross-functional stakeholders to define requirements, prioritize scope, translate business needs into system designs, and resolve intake and production issues.
Provide technical support, training, and equipment installation for public safety, military, and other government customers, both onsite and virtually. Advocate for customer needs across product and engineering teams, document customer feedback, and support business development through RFPs, demonstrations, trade shows, and Q&A sessions.
Design secure, scalable, and cost-effective AWS solutions, and lead cloud migrations from on-premises environments. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams on technical solutions.
Own the planning, architecture, and delivery of scalable Salesforce solutions, including advanced AI workflows and integrations across business processes. Lead cross-functional implementations and improvements, collaborate with business and technical stakeholders, and mentor junior team members.
Own and develop a Rust and Tauri desktop dictation application, including audio capture, integrations, local encrypted storage, cross-platform releases, and locally run speech recognition. Build and maintain its TypeScript and React interfaces and backend, manage billing and third-party services, troubleshoot Windows issues, and provide direct customer support.
Advise clients on strategic Data and AI opportunities, design and implement secure data and agentic pipelines, and address the scalability and cost implications of AI architectures and Google Cloud services. Mentor client teams through training and coaching while serving as a technical leader and helping develop Zenika’s Google Cloud Data and AI offering.
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Analyze, design, develop, test, maintain, and refactor enterprise software applications using Microsoft technologies, while estimating work, monitoring automated processes, and remediating issues. Collaborate with product owners and end users, review code, mentor other engineers, and contribute to training and development.
Design and maintain relational and document-based data models, optimize queries and stored procedures, and resolve data quality issues. Deploy and support production data pipelines, APIs, and software while applying automated testing and continuous delivery practices.
Build and maintain secure, reliable HR data pipelines, cloud infrastructure, and optimized data models across Snowflake and BigQuery. Develop dbt semantic and ontology layers and deploy Snowflake Cortex and MCP workflows that enable secure natural-language querying of certified workforce data.
Architect and build scalable full-stack applications using .NET and Angular, including microsites, delivery engines, and social media integrations. Collaborate with stakeholders and distributed teams, set code quality standards, conduct reviews, promote AI-assisted development practices, and evaluate emerging technologies.
Lead client discovery and presales engagements, translating homebuilding business needs into scalable JD Edwards solution architectures, designs, proposals, and implementation plans. Maintain architectural ownership through delivery, resolve design and implementation challenges, manage risks and scope changes, and contribute to post-implementation reviews and improved practices.
Partner with Product, Growth, Engineering, Design, and leadership to shape strategy, prioritize roadmap investments, define KPIs, and evaluate product performance through analytics and experimentation. Build scalable datasets, dashboards, and reporting; generate marketplace and market insights; and use data and LLMs to improve business decisions and internal workflows.
Investigate and resolve complex customer issues involving Kong's API Gateway and AI Gateway products through collaborative troubleshooting in enterprise environments. Create customer knowledge resources, provide product and engineering feedback, collaborate with customer-facing teams, and mentor colleagues while improving support processes.
Own and guide end-to-end application architecture, including scalable and secure cloud integrations, microservices, APIs, and modular front-end applications. Lead technical reviews, development practices, CI/CD and testing efforts, and cross-functional teams while mentoring staff and communicating architectural decisions to stakeholders.
Envision and design intuitive digital products that meet business goals and user needs, applying user-centered design and design-thinking methods throughout product development. Collaborate with architects, developers, and multidisciplinary teams to develop and validate concepts, requirements, and product experiences while adhering to risk, regulatory, and internal control standards.
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Design and maintain middleware that protects enterprise data exchanged with LLMs through real-time PII masking, access controls, compliance guardrails, and defenses against prompt injection. Build audit and monitoring systems, apply toxicity and bias filters, and collaborate with security and data engineering teams on secure integrations.
Design and govern the Customer Insights data platform, including multi-source ingestion, identity resolution, unified customer profiles, calculated insights, and personalized omnichannel journeys. Establish secure integrations and privacy controls, and monitor platform health, data processing, and API performance.
Design and operate highly available, scalable database clusters, optimizing query performance and managing replication, backups, and disaster recovery. Automate database maintenance and monitoring, resolve production performance issues, and enforce data security and governance controls.
Design, build, and optimize scalable data ingestion and ELT/ETL pipelines, cloud data platforms, and structured data layers for business intelligence and data science. Orchestrate workflows, enforce data quality and access controls, and improve query performance and cloud resource efficiency.
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