3,867 Software Engineering jobs available for remote work from home. Apply for positions such as Senior Software Engineer II, Data & Analytics Engineer, SRE Monitoring Platform Software Engineer (Early Career / Temporary), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Senior Software Engineer II will write and review product code, lead design reviews, and ensure system scalability and reliability. They will also collaborate with product managers and mentor team members to foster engineering growth and high-quality output.
The Data Analytics Engineer will design, build, and optimize reliable datasets and semantic layers within the Google Cloud Platform ecosystem. They will collaborate with cross-functional teams to standardize metrics and enable self-service analytics for business partners.
You will contribute to the development of the NeoCloud SRE platform by building monitoring, automation, and observability components under the guidance of senior engineers. Responsibilities include writing ingestion and storage code, implementing alert rules, and maintaining system reliability through rigorous testing and instrumentation.
Lead a high-performance engineering team to build and scale reliability, risk management, and operational governance capabilities. Drive cross-functional alignment across infrastructure and product teams to define reliability standards and deliver technical roadmap outcomes.
You will lead a team of software engineers to build, enhance, and support annuity-business applications while providing strategic technical direction. This role involves partnering with product leadership to align technology solutions with business goals and fostering a high-performing, collaborative team culture.
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You will design, develop, and implement complex, scalable, and secure AWS cloud solutions while modernizing legacy applications for enterprise customers. You will act as a trusted advisor, leading migration strategies and sharing technical expertise through mentoring and the creation of reusable artifacts.
Design, build, and scale integration solutions for the Genesys Cloud CRM platform while ensuring high availability and performance. Collaborate with cross-functional teams to deliver secure, reliable services and contribute to technical design, code reviews, and operational excellence.
The Senior DevOps Engineer supports software engineering and technology operations by implementing scalable environments and automating development functions. They manage release engineering, performance engineering, and configuration management to ensure stable software delivery.
Lead a portfolio of technology projects and a team of developers to build robust, cloud-based microservices solutions. Collaborate with product managers to drive digital transformation and mentor engineering community members.
Develop and support scalable payment systems and next-gen payment capabilities within a Fintech platform. Collaborate with cross-functional teams to align technical solutions with business goals while advocating for security and reliability.
The Mobile Software Engineering Manager will lead, mentor, and coach a team of mobile engineers while overseeing the technical planning and execution of flagship mobile application features. They will partner with cross-functional teams to ensure high-quality software delivery, maintain architectural integrity, and foster an inclusive team culture.
You will design and deploy advanced mineral exploration instruments and data acquisition systems to guide exploration programs. Additionally, you will build predictive models using statistical and physics-based methods to identify ore-grade mineralization and compositional anomalies.
The Full Stack Software Engineer will design, build, and maintain the web application and API layer for an education data platform. They will also collaborate with data engineering and data science teams to operationalize analytics and ensure system scalability and security.
The Solutions Engineer will design, build, and support custom technical integrations and internal tooling using agent-assisted development. They will manage the end-to-end delivery of projects, including gathering requirements, scoping, testing, and communicating with customers.
The Senior Software Engineer will design, develop, and maintain software while implementing technology strategies for delivery teams. They are also responsible for mentoring the engineering team through code reviews and hands-on design sessions.
The engineer will design, build, and support a cloud-hosted relational database platform for acoustic-telemetry fish-tracking data. Responsibilities include developing ingestion pipelines, relational data models, APIs, and providing production support for the platform.
The Software Engineer III will provide technical leadership in the design, development, and support of multi-layered enterprise applications. They are responsible for mentoring junior engineers, conducting code reviews, and driving technical initiatives across multiple systems.
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The Director of Engineering will lead and scale AI and engineering teams while driving technical strategy and application architecture. They will operationalize advanced AI capabilities and transform the engineering lifecycle to an AI-first SDLC.
The Director will lead the Platform Team in developing and maintaining cutting-edge frameworks while overseeing the migration to advanced, state-of-the-art solutions. They are responsible for establishing delivery standards, managing resource optimization, and integrating AI-driven capabilities into the enterprise platform.
You will own and improve the user-facing surfaces of the platform by turning complex clinical-research workflows into legible and fast product experiences. Additionally, you will contribute to backend services, APIs, and system architecture to support product functionality.
The Principal AI Solutions Architect will define the technical architecture, engineering patterns, and implementation approach for reusable AI capabilities across the enterprise. This role involves partnering with cross-functional teams to ensure AI solutions are integrated, deployed, scaled, and secured within the company's technology environment.
You will design and implement improvements to the clinical data platform by optimizing LLM interactions, retrieval workflows, and system performance. This involves building evaluation suites, conducting controlled experiments, and collaborating with clinical experts to ensure high-quality data outputs.
Design, develop, troubleshoot, and test software applications or operating systems based on design specifications. Build enhancements within existing software architecture and suggest improvements to the system.
Manage a team of software engineers to design, develop, and troubleshoot software programs for databases and applications. Oversee software architecture enhancements and provide technical strategy and innovation management.
Design, develop, and maintain scalable backend services and APIs using Golang. Collaborate with product and engineering teams to improve system performance, reliability, and security.
The Lead Network Architecture Test Engineer will own the end-to-end test methodology and software development for network hardware validation. This role involves acting as a technical point of escalation and collaborating across engineering, quality, and manufacturing teams to ensure high-quality standards.
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You will contribute to the development of scalable machine learning platforms and workflows to support drug discovery and development. This involves building data pipelines, model training systems, and implementing MLOps best practices to transition experiments into production-grade solutions.
The Product Engineer will design, develop, and maintain scalable AI-powered software solutions using Python and Azure cloud infrastructure. They will collaborate with cross-functional teams to implement engineering best practices and support the adoption of emerging technologies across the enterprise.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain complex search features while resolving technical bugs.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain robust search features while resolving complex technical bugs.
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