Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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The Principal Platform Engineer will own the architecture, configuration, and operational health of the enterprise Atlassian ecosystem. They are also responsible for managing secondary platforms, developing integrations, and mentoring junior administrators.
The developer will create, maintain, and support software applications and integrations within the USC Workday environment. They will collaborate with stakeholders to solve technical problems and improve operational efficiency across university departments.
The Software Development Engineer IV will lead the design and implementation of complex, enterprise-scale AI and cloud-based solutions. This role involves providing technical leadership, mentoring engineers, and ensuring all deliverables align with architectural standards and business objectives.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various channels. Additionally, you will build scalable data pipelines, dashboards, and automated workflows to support data-driven decision-making for the Consumer Messaging Program team.
Build state-of-the-art UI features for the Netflix TV application while optimizing for performance and memory-constrained devices. Collaborate with cross-functional partners to scope projects and validate user experiences through A/B testing.
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The role involves imaging, configuring, and deploying physical and virtual desktops while troubleshooting hardware and network connectivity across multiple sites. Responsibilities also include managing OS and data encryption, maintaining VOIP systems, and documenting all actions in trouble tickets to meet SLAs.
The Senior Customer Experience Engineer will manage strategic customer relationships to ensure successful adoption and value realization of M365 services. They will act as a technical subject matter expert, driving product improvements by providing direct feedback from customers to internal engineering and product management teams.
You will translate complex regulatory and market requirements into actionable engineering roadmaps and release plans for Azure Edge products. Additionally, you will drive compliance readiness and coordinate cross-team dependencies to ensure successful Azure region expansions.
The Database Administrator Specialist will lead technical activities for complex projects, design security and architectural models, and manage hybrid cloud implementations. They are responsible for platform stabilization, capacity planning, and mentoring team members on advanced database technologies.
The Cloud Solution Architect will lead complex technical engagements for government and regulated customers, ensuring delivery excellence and architectural alignment. They will also provide territory-level leadership, mentor team members, and contribute to the development of reusable intellectual property and automation methodologies.
Drive the modernization and operational excellence of lumen.com by developing scalable digital experiences on Adobe Experience Manager as a Cloud Service. Champion AI-assisted software engineering and manage CI/CD pipelines to ensure platform reliability and development velocity.
Act as a technical leader and solution architect to design scalable AI tools within the Google Cloud ecosystem. Collaborate with business stakeholders and AI researchers to identify and solve business problems using Generative AI.
The Big Data Developer will design and implement scalable data pipelines to identify and disrupt malicious threats across the internet. They will collaborate with cross-functional teams to ensure data quality and security while mentoring junior developers.
Design, implement, and manage end-to-end network architectures for Azure Dedicated environments including hybrid connectivity and SDN-based solutions. Collaborate with internal teams and external partners to optimize network performance, security, and reliability while contributing to automation and live-site operations.
The Principal Security Architect will synthesize risk data to drive security strategy and build repeatable patterns for engineering teams. They are responsible for making risk legible to stakeholders and influencing technical roadmaps to close security gaps.
The manager will lead a team to drive Cloud and AI transformation for Defense Industrial Base customers by fostering strategic relationships and managing technical sales pipelines. They are responsible for coaching the team, orchestrating resources, and ensuring the successful execution of complex technical engagements.
Design and build platform capabilities for Azure Container Linux on bare-metal systems across diverse cloud and hardware environments. Manage the end-to-end machine lifecycle, including image creation, provisioning, secure updates, and fleet health observability.
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Define and drive the technical strategy for core Insider Risk engineering systems to proactively identify and mitigate enterprise risks. Lead the architecture and delivery of scalable, secure, and privacy-conscious platforms across complex data estates.
Serve as a technical lead for Microsoft Intune customers, driving the resolution of complex technical incidents and escalations. Collaborate with engineering and product teams to perform root cause analysis and implement product improvements based on customer insights.
The Lead Site Reliability Engineer will own the reliability of the Network as a Service platform by driving technical direction and resolving systemic issues. They will manage platform observability, incident response, and automation while coordinating across engineering and development teams.
The Lead Site Reliability Engineer will design, build, and operate AKS clusters while implementing GitOps and CI/CD automation. They will also manage platform engineering standards, observability systems, and secure cloud infrastructure across Azure environments.
The AI Workforce Specialist will lead strategic sales engagements to drive the adoption of AI-powered productivity solutions across federal agencies. This role involves orchestrating cross-functional teams to build pipeline, deliver value-driven customer outcomes, and manage the entire engagement cycle for Microsoft 365 and AI technologies.
Lead end-to-end qualification and production readiness validation for new Azure Storage hardware, firmware, and platform technologies. Design scalable automation frameworks and perform complex investigations to ensure high performance, reliability, and scalability across hyperscale cloud infrastructure.
The role involves driving predictable revenue growth and sales excellence by managing pipeline health and implementing new sales strategies. You will collaborate with cross-functional teams to guide sales leaders and ensure the successful execution of AI business solutions across the Americas region.
The Principal Product Manager will define the product vision and strategy for onboarding new AI capabilities into the platform. They will lead cross-functional workstreams to transform manual workflows into scalable, reusable platform primitives and standardized onboarding paths.
Manage customer relationships and provide technical sales support within the assigned Arizona territory. Oversee the entire sales cycle, from cold calling and identifying opportunities to product commissioning and after-sales support.
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You will design and implement the information flow between Salesforce and operational systems to support mental health care coordination. This involves building complex system components, setting technical standards, and collaborating with cross-functional teams to ensure efficient data management.
Architect and ship backend systems to support enterprise customer adoption and scaling. Develop secure, durable capabilities including identity management, auditability, and multi-tenant infrastructure.
You will own the development of core systems for voice interface products, including detection, inference, and delivery mechanisms. You will also partner with cross-functional teams to solve complex quality problems and establish repeatable, scalable system architectures.
You will build end-to-end verification and evaluation loops to enable AI agents to complete tasks with confidence. Additionally, you will operate the agent fleet as a production system while measuring quality, adoption, and performance impact.
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