Top Software Engineer Jobs

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Designs and implements compiler, runtime, and system software for Microsoft AI accelerator devices. Responsibilities include transforming code through LLVM IR, developing JIT compilation and dynamic code-generation features, deploying application code, and collaborating with hardware architects and ML developers. The role requires hands-on C/C++ and Python development, optimized systems-level programming, Unix-like platforms, and compiler framework experience.

Technology interns participate in a 12-week, in-person program in Louisville, supporting projects across software and cloud engineering, data analytics, AI, cybersecurity, UX, agile development, and project management. Interns collaborate with experienced technologists, contribute to business and healthcare technology initiatives, attend professional development activities, and gain exposure to executive presentations and technical teams.

Provides professional support for risk technology and AI projects, completing deliverables, collaborating with stakeholders, following quality standards, and adapting to changing business needs. The role requires a related bachelor’s degree or equivalent, 5–8 years of relevant experience, and supervisory experience. Travel to client or organizational locations may be required, with potential increased hours during peak business cycles.

Designs, builds, and supports enterprise applications, integrations, RPA workflows, and AI-enabled solutions for food manufacturing operations. Responsibilities include C#/.NET development, Sage X3 integration, UiPath automation, APIs, CI/CD, reporting, production support, documentation, security, compliance, and stakeholder collaboration. The role owns initiatives from requirements through deployment and measures automation outcomes such as time savings, reliability, and error reduction.

Develop AI networking communication frameworks, production tools, and large-scale benchmarking systems for data center and supercomputing environments. Build automation for parameter optimization, enable AI model benchmarking, analyze workloads across hardware and software stacks, and collaborate with networking and hardware teams on co-designed features and interfaces.

Develop and project-manage business application enhancements from requirements through implementation, testing, and delivery using AI-assisted development. Translate stakeholder needs into software requirements, build and troubleshoot .NET and SQL Server solutions, create test scenarios, resolve application issues, support user acceptance, document implementations, and improve business processes through automation.

Design, build, deploy, and improve secure, resilient cloud-native applications using .NET, React, Java, Kubernetes, Azure, and DevSecOps practices. Translate requirements into technical solutions, validate architecture, implement quality and security controls, and use AI-assisted engineering tools responsibly. Mentor engineers through pairing, code reviews, and technical guidance while collaborating with product, design, and agile stakeholders. Prototype new functionality, maintain observability and reliability, and support continuous learning and improvement.

Build and ship full-stack MCP Manager features for AI agent governance, including gateway configuration, access policies, audit logging, APIs, and data models. Develop Vue.js front ends and Python/Django and TypeScript back ends on Google Cloud Platform. Write automated tests, review code, troubleshoot production issues across the stack, use AI coding assistants, and collaborate with product and design in a high-ownership environment.

Designs and develops Dynamics 365 CRM solutions for advertising workflows, integrates CRM with advertising and marketing systems, and builds AI-enhanced automation features. Collaborates with product, data engineering, and sales teams while ensuring data integrity, privacy, security, and compliance. The role requires software development expertise, cloud technology knowledge, and experience with large-scale systems and API design.

Lead the design and development of high-performance AI networking software for NVIDIA BlueField DPU and ConnectX products. Manage hyperscaler technical engagements involving coding, system bring-up, performance tuning, failure analysis, and production hardening. Collaborate across engineering, product, architecture, and customer teams to translate needs into product features and roadmap improvements. Drive reliability, performance, debuggability, and tooling enhancements across firmware, drivers, operating systems, and applications.

Build and maintain full-stack internal network automation and AI-Ops products, including operational dashboards, topology visualizations, real-time data views, conversational AI interfaces, APIs, and data integrations. Integrate AI services, network and inventory platforms, and vendor tools. Use TypeScript, Python, CI/CD, testing, and cloud technologies while translating operational requirements into technical solutions and supporting globally distributed Agile teams.

Lead design, development, deployment, and support of secure, scalable cloud-native Java/Spring Boot microservices on AWS. Build REST APIs, event-driven integrations with Kafka, promote CI/CD, observability, secure coding, and enterprise AI-assisted engineering practices; troubleshoot and mentor engineers.

Develop, integrate, test, and maintain software for automated space payloads, facilities, and mission operations. Build backend services, APIs, databases, automation tools, and user interfaces in Python; interface with hardware, robotics, scientific instruments, and control systems. Collaborate across engineering disciplines, support mission integration and troubleshooting, document designs, and participate in reviews. More experienced engineers may lead technical efforts, mentor teammates, and shape software standards.

Leads development of secure, scalable, cloud-native software platforms and distributed services. Designs systems, writes and reviews production code, supports cloud migrations, and improves reliability through testing, operations, observability, and infrastructure as code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and correctness, mentors engineers, and influences architecture and delivery practices across teams.

Develop and support applications, APIs, databases, integrations, user interfaces, and data workflows across commercial insurance business domains. Collaborate with senior engineers, use AI coding agents for implementation and testing, validate generated code, participate in code reviews and CI/CD, and troubleshoot production systems. The role provides cross-stack experience with .NET, React, SQL, Azure, Python, and Azure Data Factory while following security, governance, and software engineering standards.

Develop and support enterprise full-stack applications for a trust accounting and FinTech platform. Build .NET and C# backend services, SQL Server solutions, REST APIs, and modern web interfaces. Modernize legacy systems, troubleshoot production issues, and collaborate in an Agile environment. Design secure AI and LLM capabilities using prompt engineering, RAG, tool calling, and enterprise AI integrations while protecting financial data. Translate complex business requirements into scalable technical solutions and mentor less experienced developers.

Design and implement scalable distributed systems for Azure AI traffic management, scheduling, routing, capacity allocation, and workload optimization. Build control-plane services, observability tooling, and automation for reliable, low-latency LLM inference across global infrastructure. Investigate production issues, improve resiliency and fleet efficiency, onboard models and regions, mentor engineers, lead cross-team initiatives, and influence long-term AI infrastructure strategy.

Build and operate internal web applications, integrations, automations, and AI assistants for an insurance brokerage. Develop LLM-powered features, MCP tool servers, REST API integrations, secure access controls, SQL solutions, automated tests, and Azure deployments. Own applications from requirements through production support, including monitoring, troubleshooting, evaluations, documentation, and collaboration with business and data teams.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Build and deploy production software across frontend, backend, infrastructure, and cloud environments. Develop microservices, APIs, data pipelines, migrations, prototypes, integrations, and internal tooling using Azure, infrastructure as code, and CI/CD. Work within FedRAMP and CMMC constraints, leverage AI-assisted development tools, review and document code, mentor teammates, evaluate technologies, and reduce technical debt. The role requires hands-on ownership across the full software lifecycle in regulated environments.

Leads enterprise software architecture and hands-on engineering for complex strategic initiatives. Designs scalable microservices and micro frontend systems, drives proofs of concept, develops cloud-agnostic applications, integrates AI/ML capabilities, and champions DevSecOps, CI/CD, testing, and security. The role leads and mentors engineering teams, collaborates with architecture, product, data science, business, and IT stakeholders, and delivers innovative solutions that improve healthcare and pharmacy benefits outcomes.

Technology interns complete an end-to-end project supporting a real business priority, using data, analytics, AI tools, and digital workflows. They collaborate across departments, develop practical solutions, validate AI-generated outputs, and present results to senior stakeholders. The 10-week hybrid program includes mentorship, structured training, and exposure to technology, data engineering, machine learning, IT, and analytics teams.

Leads architecture, development, testing, deployment, and operational reliability for Azure-based distributed services supporting advertising creative quality and monetization. Defines requirements, builds APIs and event-driven pipelines, applies AI-assisted engineering practices, improves security and compliance, mentors engineers, automates CI/CD, and participates in incident response and on-call support.

Build and maintain front-end experiences for Cisco’s AI platform using Angular and Node.js. Partner with designers throughout development, implement shared design systems, and deliver accessible WCAG-compliant conversational, agentic, streaming, and dashboard interfaces. Integrate REST APIs, deploy applications on Google Cloud Platform, address usability and accessibility issues, and support human-AI interaction patterns including loading, error recovery, and token-by-token responses.