Top Remote Software Engineer Jobs in Louisville, KY

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Leads architecture, full-stack development, scalable application design, dashboards, backend integrations, AI-enabled features, cloud infrastructure, DevOps, monitoring, and production support. Mentors engineering teams, establishes technical standards, guides strategy, and develops solutions for payer operations, metadata, contracts, and performance measurement.

Design and build scalable, highly available payments platform services and user-facing features. Responsibilities include developing observable backend systems, partnering cross-functionally, delivering products end-to-end with A/B testing, tuning monitoring and alerting, writing and reviewing tested code, and improving engineering processes and technical foundations.

Build and operate Temporal Cloud’s managed compute platform, including autoscaling systems, multi-tenant execution services, cloud integrations, control and data plane boundaries, security controls, observability, and reliability practices. Lead API design, rollout, incident response, technical reviews, cross-team collaboration, and mentorship for production platform capabilities.

Design, build, and operate Chainguard’s container product, including registry features, image build pipelines, distribution systems, adoption tooling, and customer-facing services. Own projects end to end, make product trade-offs, collaborate with customers and product managers, improve observability and reliability, support on-call operations, and use AI coding agents safely. The role requires systems thinking across containers, registries, build infrastructure, and customer clusters in a remote-first environment.

Build and operate full-stack product capabilities for a cybersecurity platform, with an 80% backend and 20% frontend focus. Own moderate-to-large projects from technical design through rollout, develop APIs and distributed services, create modern web experiences, and ensure reliability, observability, and maintainability. Collaborate with Product, Design, and engineering teams, contribute to architecture, conduct code reviews, mentor engineers, and improve product quality and execution.

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Design and build backend services and distributed systems for a customer-facing no-code product. Improve query performance across large data warehouses, develop analytics and experimentation capabilities, explore real-time computation and data syncing, and apply generative AI to user workflows. The role also involves writing product specifications, collaborating directly with users, making long-term architecture decisions, and ensuring services remain robust, maintainable, and scalable.

Build, deploy, and maintain production software that improves robotics operations. Develop internal tools, dashboards, automations, and integrations; learn and contribute to an Elixir-heavy system and Google Cloud applications. Partner with Operations and Engineering to discover workflow improvements, validate AI-assisted code, improve reliability, and support applications after launch.

Own the end-to-end development of a secure SMS Adapter connecting retail and grocery store systems, beginning with BRdata, to Ottimate’s AP platform. Responsibilities include sync architecture, retries, conflict handling, local credential security, monitoring, testing, packaging, updates, installation, and deployment on Windows machines. The engineer will work directly with pilot customers to troubleshoot network, permissions, and data-access issues while evolving data models and integrations for additional store systems.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Own end-to-end development of cloud-native, event-driven services supporting commerce and laboratory fulfillment workflows. Design AWS architectures, orchestrate AI-assisted development, translate ambiguous business needs into technical solutions, and ensure production reliability, security, observability, and performance. The role includes technical leadership, mentoring, stakeholder partnership, agile delivery planning, on-call support, and development in a regulated environment handling PHI.

Lead the design, development, and maintenance of LIMS and related software. Translate stakeholder requirements into reliable Java applications, guide architectural decisions, integrate enterprise systems, improve engineering practices, develop automated tests, and provide production support. The role requires extensive software development, Python, web services, relational databases, regulated-environment experience, and legacy-system consolidation expertise, with additional value from LIMS, laboratory automation, and instrument integration experience.

Own and evolve cloud infrastructure, internal developer tooling, release automation, preview environments, and reliability practices. Build reusable libraries and SDKs, improve monitoring and tracing, manage SLOs and incident response, and solve scaling challenges across data and compute systems. The role requires strong AWS, Terraform or Pulumi, TypeScript and Node.js knowledge, startup infrastructure experience, and clear technical documentation.

Build scalable Golang microservices, APIs, and data-centric systems supporting eligibility, coverage, billing, client workflows, and healthcare operations. Automate manual processes, develop self-service tools, ensure data accuracy and traceability, and collaborate with data and AI teams on validation, automation, and anomaly detection. The role requires production backend experience, event-based architectures, cloud platforms, and strong stakeholder communication.

Build and maintain an internal application framework with authentication, hosting, CI/CD, observability, and alerting defaults. Develop custom tools such as Slack bots, web applications, and workflows for business teams. Evaluate build-versus-buy decisions, integrate SaaS products and APIs, and own projects from scoping through adoption. Partner with engineering and non-engineering stakeholders while applying AI-assisted development and automation.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

Build and scale a fintech risk and compliance platform as the second engineer. Responsibilities include developing full-stack features, owning product areas end to end, improving reliability and performance, collaborating with customers, participating in architecture and code reviews, and establishing engineering best practices. The role requires independent feature delivery, strong full-stack fundamentals, production experience, sound technical judgment, clear asynchronous communication, and willingness to learn compliance and AI domains.

Designs and extends Salesforce Health Cloud solutions, including custom Apex, Visualforce, Lightning Web Components, data models, integrations, and deployments. Collaborates with stakeholders and QA to deliver scalable solutions, troubleshoot defects, and support clients. Debugs JavaScript and Node.js services, web and mobile applications, and cross-stack issues involving AWS and containerized environments. Ensures relevant HL7 and HIPAA compliance while coordinating with engineering, product, DevOps, and India-based support teams.

Build responsive Bubble.io applications for startup clients, collaborate with product managers and designers, refine requirements, test tools and assumptions, communicate with clients weekly, and contribute reusable components and tutorials to the internal library. The role offers autonomy, client exposure, and opportunities to advance into technical leadership or product management.

Develop and support Salesforce Service Cloud and enterprise integrations using Apex, LWC, Flows, APIs, and platform events. Lead complex technical implementations, testing, deployments, production issue resolution, and SDLC activities in an Agile environment. Collaborate with cross-functional stakeholders, ensure Salesforce best practices and security, mentor junior developers, document standards, and improve operational efficiency through automation and AI-enabled capabilities.