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The right individual for this role must be capable of building applications in using modern architectures with hands on knowledge in Front End and backend Frameworks (React Native, React JS, Spring Boot, Spring React, Redux, Jest, Enzyme), and Cloud Based Technologies (Azure and DevOps.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in building and deploying scalable backend systems using modern frameworks and technologies (e.g., Node.js, Django, Flask) Demonstrable experience in full stack development with strong experience in web frameworks with clear ability to work fully independently across the layers of the stack from UI, webservices, backend databases leveraging available cloud services from AWS/Azure.
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Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake) Design and implement highly scalable backend systems and algorithms to process massive amounts of complex, high dimensionality, high cardinality data.
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As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Development : Lead the development of high-quality, scalable, and maintainable code using Vue.js for the frontend and ensuring seamless integration with the Laravel-based backend. Cross-functional Collaboration : Work closely with backend developers, product managers, designers, and other stakeholders to ensure that the frontend development aligns with the overall product strategy and meets user needs.
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Expertise in Python backend frameworks (e.g., Flask, Django) Contribute to all technical aspects of frontend & backend development, including technical requirements definition, design, implementation, unit testing and integration.
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4+ years of experience developing performant backend services using Golang. As a member of the Knowledge Services team, you will join us in creating high-impact internal services focused on delivering operational insights and alerts to data engineering teams working on some of Apple's most important Big Data datasets (App Store, Apple Music, TV+, Podcasts, Arcade, and others.
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
$220,000 - $419,750 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working on ASICs for PCI-E, memory or data communication products •Technical appreciation of ASIC engineering flows (front end and backend development processes, product and test engineering, char and validation, hardware/firmware/software design.
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Familiarity with DFT, MBIST and backend related methodology and tools is a plus. Cellular ASIC Design Integration Engineer. This position requires thorough knowledge of the ASIC design flow, FE and design verification, synthesis, scripting and netlist generation.
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Working with Java and Spring Boot. Ideally you'd be spending about 95% of your time on backend engineering, but depending on your preference, it could be anywhere from 50-100% backend. At least 10 years (the more the better) of professional experience, with at least 5 years of experience in developing backend services based on Spring Boot.
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The team is composed of 5 backend engineers working with Golang. Cloud Network Analyzer (CNA) is a Prisma Cloud module which provides the true network exposure of customer assets based on a set of policies.
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SDKs : NodeJS, Rust (backend); JS/Typescript, React Native (frontend) Existing stack Backend : Rust, NextJS. [Full Time] Founding Backend/Infrastructure Engineer at Derisk (United States) | BEAMSTART Jobs Founding Backend/Infrastructure Engineer Derisk United States.
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Experience with Python and Django (or equivalent model-view-controller backend frameworks) Agile Maintainer - Build scalable and tolerant systems using container technologies (Docker) and cloud infrastructure (Google Cloud) as well as internal tooling to accelerate product development cycles.
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Design and implement scalable, robust, and industry-best-practice compliant backend applications by carefully assessing trade-offs using Kotlin and related technologies, including Spring Boot and other related frameworks.
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