Top Software Engineer Jobs in Lexington, KY

Design and scale production-grade asynchronous backend systems in Python, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Build schemas and migrations, optimize relational databases, instrument services, and own CI/CD from testing through deployment. Establish AI governance around code review, provenance, licensing, security, compliance, and customer data. Drive architecture and product ideas from conception through production.

Develop and enhance Android SDKs, tools, and applications supporting payment transactions and kiosk-mode devices. Design, implement, debug, and optimize complex software using Kotlin, Jetpack Compose, Coroutines, Flow, dependency injection, and large multi-module architectures. Integrate REST services, payment hardware, peripheral devices, and vendor SDKs while contributing to code reviews, technical planning, testing, and architectural decisions. The role also supports secure, PCI/EMV-compliant commerce applications.

Design, build, test, deploy, and support Salesforce applications and integrations. Develop Apex, LWC, Flow solutions, REST APIs, event-driven integrations, and secure data workflows. Ensure bulk processing, governor-limit compliance, automated testing, retries, idempotency, and failure recovery. Manage Git-based CI/CD deployments, troubleshoot production issues, review code, and collaborate with administrators, analysts, data engineers, and product teams.

Build and maintain C#/.NET backend services, APIs, web applications, ERP and billing features, and financial integrations. Modernize legacy .NET Framework applications onto Azure, optimize SQL Server and Azure SQL data access, create automated tests, support CI/CD, instrument production systems, and implement secure authentication and configuration. Troubleshoot application, database, and hosting issues while collaborating with DevOps, architects, product leaders, and stakeholders.

Design, develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product partners, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security, observability, and continuous improvement. Use approved AI-assisted development tools responsibly across coding, testing, debugging, analysis, and documentation while ensuring software quality, security, performance, and maintainability.

Lead the architecture and implementation of high-performance, reliable core services operating at massive scale. Design synchronous and asynchronous APIs, database schemas, and distributed systems; conduct benchmarking, profiling, monitoring, and optimization; participate in reviews and on-call rotations; resolve production issues; and drive independent experiments and solutions.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.

Design, build, and operate scalable backend services for payments, cards, spend management, and compliance. Develop production-quality services and APIs, optimize databases, integrate AI and third-party APIs, and implement secure event-driven architectures. Own features from design through deployment and monitoring, contribute to reliability and CI/CD improvements, participate in on-call rotations, and collaborate with globally distributed engineering, product, compliance, and data teams.

Own technical evaluations, deployments, and production integrations for major government and enterprise customers. Build Python, SQL, agents, tools, and REST integrations within customer environments; lead proofs of concept, deployments, executive briefings, and technical account relationships. Triage bespoke versus reusable capabilities, influence the product roadmap, and review other engineers’ work. The role requires strong cloud, containerization, data, communication, and ambiguous problem-solving skills.

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.