The role involves administering Linux/Unix environments and automating deployment processes through configuration management and scripting. It also requires maintaining CI/CD pipelines and supporting containerized applications in cloud infrastructures.
Remote Software Engineer Jobs (18,412)
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Develop high-quality software for a complete cloud infrastructure stack focusing on containerization and fault-tolerant systems. Contribute to open-source projects like StarlingX and implement platform upgrade features using Kubernetes and OpenStack.
Lead the design and delivery of AI-powered product features, focusing on LLM-based systems for real-time coaching and recommendations. Architect scalable, low-latency AI systems and establish best practices for evaluation and monitoring across the engineering organization.
Provide technical leadership and support for mainframe modernization projects to facilitate customers' digital transformation. Implement cloud-native API microservices and deploy workloads within hybrid cloud infrastructures using DevOps disciplines.
Senior Machine Learning Engineer, Vector Bidding Science
Unity Technologies
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Full Time
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2 Weeks Ago
Unity Technologies
Design and optimize core bidding algorithms and auction mechanisms to maximize advertiser returns. Architect scalable bid landscape forecasting and analyze marketplace dynamics to drive algorithmic improvements.
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Security Engineer (SIEM/SOAR) - Northeast region (Remote)
GuidePoint Security
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Full Time
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2 Weeks Ago
GuidePoint Security
The role involves the architecture, implementation, and troubleshooting of SIEM and SOAR solutions to minimize risk for clients. Responsibilities include developing log ingestion strategies, creating complex threat detection logic, and building operational dashboards.
Staff Machine Learning Engineer, Vector Bidding Science
Unity Technologies
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Full Time
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2 Weeks Ago
Unity Technologies
Design and optimize core bidding algorithms and auction mechanisms to maximize advertiser returns. Architect scalable real-time bidding systems and bid landscape forecasting capabilities using massive datasets.
Act as a trusted advisor to channel partners and industrial accounts to guide the design and sale of industrial automation systems. Drive market share growth through tactical execution of operational plans, training programs, and strategic account management.
Senior Digital Analytics Engineer
Growth Acceleration Partners
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Full Time
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2 Weeks Ago
Growth Acceleration Partners
Manage and optimize Google Tag Manager containers and Google Analytics 4 property configurations to ensure data integrity. Support the technical configuration of Adobe Analytics and assist in deploying tracking pixels for marketing and product initiatives.
Support cloud infrastructure initiatives primarily on AWS and secondarily on GCP, including Kubernetes-based workflows. Maintain Infrastructure as Code practices and assist with CI/CD deployments using Harness and Argo CD.
Lead the design and implementation of technical roadmaps and impactful cloud infrastructure solutions to meet client business goals. Drive automation across continuous delivery processes and provide expert guidance in DevOps and platform engineering.
Lead the design and implementation of technical roadmaps and scalable hosting platforms to support client business goals. Drive automation across continuous delivery processes and provide expert guidance in DevOps and cloud infrastructure engineering.
Lead the adoption of AI across the engineering function by designing agentic workflows and RAG systems to automate software development tasks. Partner with leadership and stakeholders to translate business needs into scalable, secure, and customer-centric AI-powered solutions.
Lead the adoption of AI across the engineering function by designing agentic workflows and RAG systems to automate software development tasks. Partner with cross-functional leadership to translate business problems into scalable, customer-centric AI solutions and mentor engineers in AI-driven development.
Lead the adoption of AI across the engineering function by designing agentic workflows and RAG systems to automate software development tasks. Partner with leadership and stakeholders to translate business problems into scalable, customer-centric AI solutions and mentor engineers in AI-driven development.
Implement AI agents to automate customer tasks and integrate them with databases and third-party APIs. Collaborate with product and research teams to refine the platform roadmap based on field learnings.
Build and ship high-quality applications and APIs to optimize in-store grocery operations and fresh food supply chains. Collaborate with product managers, designers, and ML specialists to develop reusable solutions and implement system monitoring.
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Sr. Systems Engineer II - ECG Monitoring Applications
iRhythm Technologies, Inc.
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Full Time
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2 Weeks Ago
iRhythm Technologies, Inc.
Lead the development of software services for arrhythmia detection by defining system requirements and maintaining architecture documentation. Collaborate with cross-functional teams to ensure seamless system integration and regulatory compliance for medical devices.
Sr. Systems Engineer I
iRhythm Technologies, Inc.
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Full Time
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2 Weeks Ago
iRhythm Technologies, Inc.
Lead the development and enhancement of mobile applications for the Zio service by defining system requirements and overseeing end-to-end data flow. Collaborate with cross-functional teams to manage system architecture, risk management, and regulatory submissions for medical device software.
Lead discovery sessions and design end-to-end technical solutions using the Agentic Enterprise Platform for BFSI customers. Deliver impactful technical demonstrations and execute Proofs of Concept to showcase the value of AI/ML and low-code capabilities.
Lead the design and deployment of internal AI-powered solutions to improve organizational flow across Sales, Marketing, and Customer Support. Diagnose business constraints and build end-to-end AI initiatives from discovery to production-grade implementation.
Design and build scalable APIs, services, and frontend features across various codebases to unblock critical projects. Collaborate with staff engineers and product teams to deliver high-quality, maintainable code using AI-assisted development tools.
Design and implement scalable Salesforce solutions for Sales and Service Clouds aligned with enterprise architecture standards. Provide technical leadership to onshore and offshore teams while driving the adoption of best practices and reusable frameworks.
Provide deep technical expertise to solve complex MongoDB problems for large-scale customers across architecture, performance, and security. Act as a customer advocate to product teams and mentor new team members on the MongoDB ecosystem.
The role involves implementing quality assurance measures and performing manual and automated tests to ensure software products meet functional requirements. The specialist will collaborate with development teams to embed quality into the process and document bugs for resolution.
Provide second-level technical support for enterprise informatics software, focusing on European customers and resolving complex support tickets. Collaborate with internal teams and customer IT departments to optimize configurations and expand the shared knowledge base.
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Design, develop, and deploy Machine Learning models and ML pipelines for a healthcare client. Focus on optimizing models for document classification, segmentation, and data extraction in production environments.
Design, develop, and maintain production-ready AI features, focusing on RAG systems and agentic workflows. Establish infrastructure for model evaluation, monitoring, and continuous improvement in collaboration with product and engineering teams.
The role focuses on identifying and resolving the root causes of customer business processing issues within the cloud environment. It involves maintaining and monitoring MS Windows Servers and utilizing automation tools to improve system stability.
Build the digital backbone for an AI-native Software Development Life Cycle to enable AI agents to handle implementation details. Design and maintain resilient, scalable cloud infrastructure and establish standardized golden paths for development.
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