Remote Senior Software Development Jobs
22,121 Senior Software Development jobs available for remote work from home. Apply for positions such as Senior SOC Engineer - Agentic , Senior Data Analyst, CRDT Software Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and build an agentic SOC, including detection engineering, security automation, integrations, and governed AI-agent workflows with appropriate audit trails and human checkpoints. Also perform hands-on security engineering across vulnerability management, cloud security, identity, application security, architecture reviews, compliance support, and incident response.
Independently investigate open-ended product and commercial questions, including customer usage, account growth, retention, expansion, and funnel performance, and use findings to influence business decisions. Build dbt models and Looker views that support analysis and enable others to answer questions independently.
Design and build synchronization and networking systems for secure, reliable AI operations across edge devices and isolated cloud environments, using technologies such as CRDTs, Merkle trees, and content-addressable storage. Optimize distributed software, apply security-first practices, collaborate across engineering teams, and maintain rigorous testing, observability, and validation.
Review existing cloud environments, assess deployed technologies and services against Cloud Core standards, and identify compliant alternatives where needed. Develop migration and deployment strategies while collaborating with tenant owners, project teams, and US-based stakeholders.
Analyze Medicare and Medicaid claims data using statistical methods and machine learning to support fraud, waste, and abuse detection, predictive modeling, and program-integrity analytics. Contribute to generative AI solutions, build and maintain datasets, create visualizations, and document and communicate findings.
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You will own the end-to-end firmware development lifecycle for EEG and biosensing wearables, including hardware bring-up and release management. You will also collaborate across teams to ensure reliable Bluetooth connectivity, power optimization, and effective manufacturing integration.
Collaborate with architects, analysts, project managers, and industry experts to understand business requirements and design solutions for complex business problems. Develop, customize, test, support, and maintain PL/SQL code and related tools for product development and customer implementations, while identifying opportunities to improve the product.
Design, build, deploy, monitor, and improve production ML and LLM systems for enterprise clients, owning technical delivery from architecture and prototyping through deployment. Work directly with client teams, mentor junior ML engineers, and help establish internal technical standards and best practices.
You will engineer software to automate large-scale systems and optimize the reliability of hosts across multiple cloud providers. Additionally, you will participate in an on-call rotation to respond to incidents and contribute to the evolution of global infrastructure.
Analyze business requirements and collaborate with stakeholders and vendors to design, implement, test, and improve technology platforms and processes. Support project planning and delivery, provide end-user training, and advise the business on technology solutions aligned with its needs and roadmap.
The role involves designing, developing, and maintaining scalable data pipelines and cloud-based data platforms on GCP. You will also implement data governance, security controls, and automation to ensure high-quality, reliable data delivery.
Instrument and capture engineering and AI telemetry, partner on production data pipelines, and define trustworthy metrics for AI investment and developer experience. Build executive-facing dashboards and analyses, communicate recommendations to senior stakeholders, and identify opportunities to improve AI ROI and developer productivity.
Own the technical integration of Akamai security solutions, including configuration, debugging, documentation, testing, and go-live, while analyzing customer traffic and tailoring solutions to security needs. Provision anti-DDoS services, perform network and traffic analysis, and collaborate with project teams and customers to deliver implementations and ongoing support.
Maintain, improve, and tune genomics pipelines in an on-premise HPC environment, while automating operations and troubleshooting pipeline and genomic data delivery issues. Build and maintain integrations with laboratory systems and sequencing instruments, and support the additional workload associated with the LIS transition from Soft to Epic Beaker as part of an agile pipeline team.
Independently deliver and troubleshoot infrastructure projects across multiple client environments, covering networking, servers, virtualization, cloud, Microsoft 365, and related technologies. Validate project requirements, maintain documentation and status updates, assist with escalations, and provide technical support and knowledge transfer to other teams.
Analyze stakeholder and customer requirements, assess and improve business processes, and develop functional specifications and wireframes for solutions. Coordinate with clients and cross-functional teams, facilitate workshops and presentations, support user acceptance testing, and help manage business transitions.
Build customer-facing payment features, including IC+ pricing, surcharging, and payment automation, and apply enterprise architecture patterns to keep payment systems reliable as they scale. Partner with product to deliver measurable outcomes, communicate proactively across the distributed team, and use AI tools to improve software development.
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The Systems Engineer will design, implement, and manage technical infrastructure solutions while collaborating with management and senior engineers. They are also responsible for mentoring junior staff, managing vendor relationships, and ensuring compliance with risk and regulatory standards.
Assess central utility plants and lead integration, configuration, programming, testing, commissioning, and startup of OpenBlue Central Utility Plant solutions. Coordinate with customers, contractors, and internal teams, troubleshoot system issues, provide project updates, and train plant operators and end users.
Design and maintain automated test frameworks and suites, integrate testing into CI/CD pipelines, and conduct performance, scalability, and reliability testing. Develop testing tools, analyze system behavior and performance, support release validation, and collaborate with engineering teams to improve product quality.
Design, develop, test, maintain, and troubleshoot scalable software and distributed video-delivery systems, including backend services, APIs, and user-facing applications. Collaborate across engineering and product teams on Agile delivery, releases, code reviews, documentation, and continuous improvement, with mentoring responsibilities where appropriate.
Design, automate, deploy, and operate reliable, scalable, and secure cloud and infrastructure platforms, including Infrastructure as Code, CI/CD pipelines, and operational tooling. Collaborate with engineering and operations teams to improve platform reliability and delivery, troubleshoot incidents, support modernization initiatives, and contribute to technical practices and mentoring according to experience.
Define and own the architecture for scientific data discovery and access, including catalog records, search, federated data access, service contracts, and AI-agent access controls. Work hands-on with engineering to validate designs, guide implementation, modernize legacy integrations, and maintain performant, reliable catalog and access pipelines.
Support clinical study execution at assigned sites, including site start-up, enrollment, follow-up, training, data collection, and protocol compliance. Serve as the field expert on the WiSE System, troubleshoot clinical or device issues, build site relationships, and share feedback with internal teams while supporting process improvement and team mentorship.
You will augment the engineering team to build an agentic workflow-orchestration platform by evaluating infrastructure choices and designing composable workflow steps. You will work under client direction to implement solutions that integrate LLM and AI agent tool-use into platform workflows.
Design, build, and operate Go backend services and distributed systems for wallet operations, liquidity movements, and cross-chain bridging, including transaction construction, signing, broadcasting, and reconciliation. Improve reliability and observability, decompose legacy systems into reusable platform services, and collaborate across teams on integrations, incident response, and engineering quality.
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Gather and document business requirements, analyze Talent processes, and recommend improvements using SAP SuccessFactors and related technologies. Coordinate system and data integrations, testing, stakeholder communication, change management, and issue resolution to support successful project delivery.
Operate and improve a large-scale Kubernetes platform, maintaining its availability, performance, and reliability while automating internal tooling and cluster lifecycle operations. Collaborate with engineering teams to support production environments and lead responses to high-severity incidents.
Develop and maintain scripts, automations, and integrations that improve security operations, including incident response, vulnerability management, and security monitoring. Create dashboards, reports, and documentation to track operational deliverables and security posture, while supporting senior engineers and applying DevOps and agile practices.
Design, build, and launch backend features and services that improve restaurant operations and customer experiences, while identifying high-impact opportunities for technical improvements. Own projects from concept through production, collaborate with product and engineering teammates, and maintain service quality through testing, monitoring, logging, and DevOps practices.
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