Remote Senior Software Development Jobs
22,121 Senior Software Development jobs available for remote work from home. Apply for positions such as Lead Guidewire Software Engineer, Lead Site Reliability engineer - Network infrastructure - APAC, Platform Engineer III and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the design, configuration, development, integration, testing, deployment, and production support of Guidewire applications for Property and Casualty insurance operations. Provide technical direction and mentoring, resolve incidents and performance issues, and ensure solutions meet enterprise architecture, security, quality, and delivery standards.
Define and improve reliability for APAC network services and infrastructure, including incident response, observability, safer network change workflows, and operational readiness for data centers. Build and lead the region’s SRE team while coordinating with network, platform, and European teams across time zones.
Build and maintain automated platform configuration and deployment processes, self-service PaaS capabilities, system documentation, and administrator and service accounts. Own the operation and troubleshooting of team services, collaborate with developers and clients, support on-call needs, and use AI tools to improve delivery and reduce cycle time.
Analyze corrections and parole administrative data using SQL and Python, and model policy scenarios to estimate outcomes and tradeoffs. Lead analytical projects end to end, communicate decision-ready findings to government leaders, collaborate across teams, and identify opportunities for further policy analysis.
Build and own software services and tooling that automate network operations, enable safe changes, improve observability, and connect network infrastructure with the cloud platform. Lead technical decisions for APAC, collaborate with network engineers and SREs, and hire and mentor the region’s engineering team.
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Develop and execute test plans and automated test suites for applications, data pipelines, healthcare quality measures, reports, APIs, and user interfaces, including accessibility and authentication testing. Track defects through resolution, support user acceptance testing, produce auditable evidence, and validate fixes and business-rule changes across environments.
Design, build, and maintain automated tests across UI workflows, APIs, backend services, data pipelines, integrations, reporting, and AI-powered features. Partner with cross-functional teams to prioritize risk-based coverage, investigate failures, improve testability, and strengthen release confidence.
Design, operate, and troubleshoot production GCP infrastructure, including GKE clusters, cloud networking, IAM, and shared services. Develop Terraform automation, improve observability, security, reliability, scalability, and cost efficiency, and partner with Platform Engineering, SRE, and Security teams on infrastructure architecture and operations.
Design, build, and operate secure, reliable cloud infrastructure and platform capabilities, including networking, CI/CD, observability, secrets management, disaster recovery, and infrastructure automation. Partner with AI engineering teams to support agent-based workflows and ephemeral development environments while improving platform stability, security, and developer experience.
Gather client goals and translate them into clear, testable technical requirements, documenting business rules and securing sign-off. Coordinate with account representatives and developers, validate completed work against specifications, and define acceptance criteria and user acceptance testing.
Analyze large-scale customer datasets to develop and implement detection rules and machine learning models that improve security product accuracy and effectiveness. Improve production data collection and analysis processes, troubleshoot issues in distributed environments, and collaborate across teams to inform product improvements and strategy.
Analyze course, credential, and portfolio performance to develop KPIs, uncover trends, and provide strategic recommendations on content performance, learner engagement, and growth. Resolve data challenges, collaborate with finance and other cross-functional teams, use generative AI to improve analysis, and present clear insights to executives and stakeholders.
Design and develop responsive, robust, and accessible web interfaces using React and TypeScript, while contributing to the modernization and evolution of the company’s digital environments. Collaborate with product and design teams, incorporate user feedback, maintain existing environments, and improve automated testing practices.
Build and scale MySCU’s education technology platform across backend services, frontend experiences, admin tools, AI features, integrations, and production user flows. Take ownership of features from idea through deployment, improving existing code and ensuring product quality.
Design, build, and deploy scalable features powered by large language models, including prompt pipelines, evaluation frameworks, fine-tuned models, and retrieval systems. Integrate AI capabilities into production systems and APIs, optimizing performance, latency, and cost while collaborating with product and engineering teams.
Design, develop, and maintain secure, scalable Java applications and fintech systems, including RESTful APIs and microservices. Ensure quality and reliability through testing, code reviews, CI/CD, production monitoring, performance optimization, technical documentation, and mentoring developers.
Develop and release high-volume manufacturing test strategies and solutions for SoCs, including wafer sort, final test, and system-level testing, while improving test coverage, yield, quality, and cost. Integrate manufacturing data and analytics, manage production flows and lot disposition, and collaborate with test, quality, packaging, and operations teams to resolve issues and accelerate mass production.
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Develop and evaluate predictive models and machine-learning data products that extract actionable signals from large-scale behavioral and event-stream data. Partner with Product and Engineering to productionize, monitor, and improve models, while helping shape the company’s AI and data science strategy.
Maintain, optimize, secure, and evolve production MySQL and SQL Server databases, including performance, availability, backups, recovery, and production change control. Develop shared data solutions across Vantify’s products and collaborate with product and development teams on roadmap initiatives, standards, and continuous improvement.
Build, maintain, and support Cloudsmith’s developer-facing tools, including its CLI, Terraform provider, MCP server, and IDE/LSP extensions, with careful attention to usability, versioning, and backward compatibility. Collaborate with platform teams, customers, Customer Success, and Solutions Engineering to turn feedback into durable improvements and automate testing, releases, and validation.
Lead and grow the engineering team while setting Vicoland’s technical direction, architecture, and engineering standards. Work hands-on across the stack to deliver AI-enabled products, translate business needs into roadmaps, and improve AI development, evaluation, and observability practices.
Administer, secure, monitor, and optimize production and non-production SQL Server and cloud database platforms, ensuring availability, performance, scalability, and resilience. Lead database operations and lifecycle changes, automate administration and delivery processes, support engineering teams, and maintain tested backup, recovery, and disaster-recovery practices.
Migrate and modernize data pipelines across Snowflake, Apache Airflow 3, Confluent, and Apache Iceberg, while supporting large-scale data processing on AWS. Ensure pipeline quality and reliability through testing, monitoring, troubleshooting, and performance optimization, collaborating with distributed engineering teams to meet project deadlines.
Develop and maintain integrations between Oracle Retail systems and other applications, including interface code, APIs, batch processes, and data workflows. Administer and tune WebLogic and middleware platforms, support production incidents, maintain HA/DR readiness, and collaborate on testing, deployments, migrations, and technical documentation.
Set the technical direction and priorities for the platform team, lead design and code reviews, mentor junior and mid-level engineers, and coordinate with neighboring teams. Build and own cloud services, data pipelines, dashboards, and the device-to-cloud agent, including device authentication, certificate and token management, security, CI/CD, and automated testing through production.
The Business Intelligence Analyst will develop, maintain, and optimize enterprise reporting solutions including SSRS and Power BI to support clinical and operational needs. They will also partner with stakeholders to ensure data accuracy, regulatory compliance, and the establishment of a unified data foundation.
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Own Scento’s data foundation, including its warehouse, pipelines, metric definitions, and dashboards, and build models for attribution, cohorts, customer lifetime value, and margins. Forecast product demand with Operations and Purchasing, measure marketing impact through incrementality tests, and build and lead a high-quality Data function that enables teams to use trusted data independently.
Own and evolve the PDS operational systems, data foundations, analytics, and applied AI capabilities, including KPI datasets, customer insights reuse, and capacity and portfolio visibility. Build AI-enabled workflows and maintain integrations across workflow, analytics, and enterprise systems to generate reusable insights for internal decisions and customer value.
Design and maintain Azure DevOps CI/CD pipelines, automate Azure infrastructure, and operate cloud services with a focus on security, scalability, and availability. Integrate Azure services with .NET applications, manage identity and API solutions, and implement monitoring, governance, and secure DevOps practices.
Identify where voice models fall short, define measurable improvement targets, and design evaluations to determine whether models improve and why. Curate or generate data, fine-tune models, build working systems, and ship customer-facing improvements to production.
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