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 role involves prioritizing the GenAI team's workstreams and driving the adoption of AI tools across the Netflix Games organization. You will manage cross-functional programs, define KPIs, and translate complex technical goals into actionable project plans.
The consultant will define enterprise-level modeling, simulation, and analysis (MS&A) strategy and lead cross-program mission and campaign-level operations analyses. They will also provide independent technical assessments to guide portfolio-level decisions and represent the organization as a technical authority to customers.
The Systems Engineer will act as a senior technical leader for the modeling, simulation, and analysis of missile and interceptor systems. They will lead complex MS&A efforts, define analysis plans, and serve as a primary technical interface to program leadership.
The Director of Cloud SRE will lead a team to define and implement a unified observability and reliability strategy across hybrid cloud and on-premise environments. This role involves driving the roadmap for internally-built tooling, fostering SRE maturity, and partnering with cross-functional leadership to embed reliability practices into the development lifecycle.
The engineer will design and architect new solutions for a hyperscale distributed file system within Azure Storage. Responsibilities include overseeing performance measurements, ensuring system reliability, and acting as a Designated Responsible Individual for on-call support.
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You will design, build, and maintain scalable cloud infrastructure while collaborating with the engineering team to support robust deployment pipelines. The role involves troubleshooting production incidents, automating manual processes, and ensuring the stability and performance of the platform.
You will drive the strategic acquisition and procurement of fiber for Leo’s ground infrastructure to meet global broadband demand. This includes designing long-haul network routes and managing vendor relationships to ensure high-availability network solutions.
You will manage a team of applied ML scientists while owning the strategy, roadmap, and execution for your specific ML domain. You are responsible for the full lifecycle of fraud detection and identity models, from data acquisition and feature engineering to production deployment and iteration.
You will manage a team of applied ML scientists to develop and deploy fraud detection and identity verification models. This role involves hands-on technical leadership, including code reviews, model experimentation, and strategic collaboration with product and risk teams.
You will create high-impact technical content, including videos and tutorials, to help developers learn and build with Supabase. Additionally, you will represent the company at events and engage with the community to support and grow the ecosystem.
Develop and implement advanced fraud detection models using machine learning and statistical techniques to protect the platform. Collaborate with cross-functional teams to analyze large datasets and optimize fraud prevention strategies.
The Lead Product Manager will own the end-to-end lifecycle of the orchestration engine, driving the roadmap for workflow builders and integration frameworks. They will also strategically integrate AI to automate GTM processes and ensure the platform scales to handle massive event volumes.
You will own the recommendation engine product, including ranking, relevance, and the model roadmap. You will collaborate with data science and engineering teams to design experiments, define metrics, and communicate model performance to stakeholders.
The Business Analyst I is responsible for translating business requirements into effective client solutions and supporting system configuration, integrations, and testing. They act as a bridge between the Customer Care and Product Management teams to ensure project tasks are completed on schedule.
The engineer will implement and enhance financial and investment products while contributing to the full stack with a focus on backend development. Responsibilities include analyzing product requirements, writing maintainable code, performing functional testing, and troubleshooting production issues.
Design, build, and maintain scalable blockchain-powered payment infrastructure for secure cross-border transactions. Collaborate with cross-functional teams to integrate blockchain technologies with internal payment systems and ensure high-performance network operations.
Lead solution architecture and platform design discussions for ServiceNow implementations while ensuring alignment with business goals and long-term platform health. Provide architectural guidance, establish best practices for configuration and integrations, and mentor technical team members throughout the delivery lifecycle.
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The Tech Lead will own the technical direction and delivery of an AI-powered chatbot product, focusing on LLM integrations and agent-based architectures. They will lead engineering efforts, mentor team members, and collaborate with stakeholders to translate business needs into scalable AI solutions.
The Content Solutions Analyst is responsible for researching and analyzing medical policies to develop logic and algorithms for the payment policy library. They will collaborate with clinical and technical teams to ensure accurate coding and claims processing rules are implemented.
Conduct high-quality application penetration tests on mobile applications and services to identify security vulnerabilities. Collaborate with internal teams and leadership to document findings, provide remediation recommendations, and drive security improvements.
You will build and scale security systems that utilize AI to detect and mitigate adversarial attacks from noisy, incomplete data. You will also lead technical direction, mentor engineers, and transition prototypes into reliable, high-precision production systems.
You will own the release testing and quality strategy for the Runlayer Endpoint across multiple platforms and AI clients. This involves building scalable test infrastructure, automating deployment flows, and integrating quality signals into CI workflows.
The Sales Engineer will partner with Account Executives to lead technical discovery sessions and deliver tailored product demonstrations for enterprise prospects. They will also manage proof-of-concept engagements and serve as the primary technical resource throughout the sales cycle.
The Integrations Architect will own the technical architecture of the interoperability platform and define standards for healthcare data exchange. They will also serve as a technical advisor for customer engagements and lead cross-functional technical initiatives across the organization.
The engineer performs complex piping design and stress analysis for Nuclear Steam Supply Systems in accordance with ASME standards and regulatory requirements. They also provide technical oversight and mentoring to early-career engineers while collaborating on CAD models and design documentation.
Develop and expand business relationships with key industrial and automotive customers. Collaborate with business units and field application engineers to secure new product introduction design wins.
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The Senior Consultant will design and implement integrations, process automations, and applied-AI solutions to connect and extend client ERP and business platforms. They will also partner with the Solution Architect to build practice accelerators, playbooks, and support business development activities.
The Solution Architect will lead requirements discovery, design ERP architectures, and serve as a technical advisor during the sales cycle. They are also responsible for building the practice's delivery methodology, managing project margins, and mentoring a team of consultants.
You will operate and support data pipelines within the Google Cloud Platform ecosystem while ensuring the stability of orchestrated data flows. Additionally, you will resolve operational incidents and provide technical support to Analytics, Data Science, and Software Engineering teams.
You will develop and maintain backend features for vulnerability management workflows while collaborating with cross-functional teams to improve system performance and scalability. Additionally, you will participate in on-call rotations and conduct code reviews to ensure high-quality software delivery.
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