Top Remote Software Engineer Jobs in Louisville, KY

Provides technical leadership for designing, developing, optimizing, porting, and certifying GPGPU and AI inference libraries built on Vulkan SC drivers. The role targets embedded GPU platforms such as Arm Mali and Intel, maintains AI model testing infrastructure, defines validation standards, supports customer deployments, and troubleshoots drivers. It also involves documentation, competitive analysis, cross-functional architecture decisions, mentoring, onboarding, and exploring emerging AI compute capabilities.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Own collaborative editing across React clients and Node services, including offline storage, queued mutations, realtime WebSocket synchronization, conflict resolution, and data persistence. Build agent-enabled editing experiences, investigate data-loss issues across environments, and collaborate with designers, backend engineers, and open-source contributors. The role requires production TypeScript experience across React and Node, rich-text editor frameworks, offline applications, WebSockets, and advanced Postgres skills.

Own the AMS frontend, designing and shipping React and TypeScript features for data-intensive grids, forms, dashboards, and widgets. Integrate RESTful APIs using TanStack Query, manage state with React Context or Zustand, implement SurveyJS forms, and optimize performance for large datasets. Collaborate with backend engineers and designers, contribute to code reviews and Agile ceremonies, and work across time zones with an Australia-based team. The role requires US citizenship and willingness to pursue future security clearance.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Design and build backend services, REST APIs, and integrations for bank administrators and customers. Apply domain-driven design and microservice architecture, write well-tested, documented code, and participate in system design, code reviews, and agile SCRUM processes. Integrate with third-party services such as Plaid and SendGrid.

Investigate and resolve complex customer-reported issues in large Java enterprise codebases, perform root-cause analysis, deliver production-ready fixes, use AI-assisted debugging and test generation, contribute to documentation and product enhancements, and participate in on-call pager rotations.

Designs and scales mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include developing backend systems, maintaining software quality and test coverage, participating in code reviews, troubleshooting incidents, and building developer-focused APIs and infrastructure using modern cloud, containerization, and orchestration practices.

Design and build complex customer-facing product features, own technical decisions, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role collaborates closely with Product and Design across a modern web stack including React, TypeScript, Node.js, .NET, relational databases, and Microsoft Azure.

Develop cloud-native B2B SaaS platform services and user interfaces using C#, .NET, React, databases, and microservices. Responsibilities include architecture and design, hands-on feature development, code reviews, API and third-party integrations, technical documentation, debugging, proof-of-concepts, security and compliance implementation, and technical support. Collaborate within agile scrum teams and with product stakeholders to deliver scalable, secure, maintainable enterprise solutions.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design and oversee full-lifecycle software development using AI-assisted engineering practices. Define system architecture, APIs, data models, testing strategies, security, reliability, and observability. Direct AI-generated implementation, validate code and tests, manage deployments and incidents, and coach engineers on effective agentic development. Build and operate scalable cloud systems, event-driven services, and customer-facing applications while collaborating with Product and Design.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Designs, develops, maintains, troubleshoots, and enhances enterprise mainframe applications using COBOL, CICS, JCL, DB2, and VSAM. The role includes performance tuning, database optimization, incident and change request management, technical documentation, requirements analysis, and implementation planning. Acts as a technical lead, supports critical applications, works across Agile and waterfall methodologies, and guides junior team members.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Volunteer senior engineer to develop a cross-platform medical/wellness app (web, iOS, Android). Own full SDLC: design, coding, testing, data models, pipelines, deployments, and collaborate in Agile processes. Attend weekly standups and commit at least 4 hours weekly.

Designs, develops, and maintains .NET backend services and ASP.NET Core APIs supporting edge gateways and IoT devices. Builds applications communicating with firmware over TCP, WiFi, and offline-tolerant architectures. Responsibilities include writing tested code, conducting reviews, troubleshooting distributed systems, documenting APIs, collaborating cross-functionally, participating in Agile delivery, improving CI/CD and DevSecOps practices, and evaluating modern .NET tools and patterns.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Design, develop, and maintain scalable full-stack systems and web applications using TypeScript, Node.js, and React. Own features from ideation through deployment, architect distributed production systems, solve complex technical challenges, maintain code quality and testing standards, and mentor junior engineers. Collaborate with Product, Design, and engineering teams to shape product strategy, prioritize work, and scale software, tools, and processes.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.