Top Software Engineer Jobs in Little Rock, AR

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

A 12-week software engineering internship involving feature development, software testing, and continuous production deployment. Interns own projects end-to-end, collaborate across engineering and business teams, and receive mentorship while gaining experience with product development and reliable, real-time software systems.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Design and build reliable, scalable backend services, search APIs, semantic and lexical search systems, and platform components serving millions of users. Collaborate with engineering, product, and QA teams to translate requirements into solutions, while improving observability, monitoring, alerting, and operational readiness. Support multi-region systems using CI/CD, infrastructure as code, containers, high availability, and disaster recovery practices.

Develop and maintain Java and Angular applications supporting USTRANSCOM’s Integrated Booking System. Responsibilities include implementing requirements, writing and reviewing code, troubleshooting defects, integrating services, supporting CI/CD and secure coding practices, participating in Agile ceremonies, documenting solutions, and contributing to unit, integration, and system testing. The developer collaborates with senior developers, QA, DevSecOps, and infrastructure teams in a fully remote environment.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Design and implement CIAM backend services for authentication and authorization. Integrate identity systems, manage secure flows, and automate infrastructure.

Develops and maintains full-stack software within a remote Agile DevOps team. Responsibilities include requirements analysis, solution design, Java and frontend development, REST APIs, data access layers, database schemas, automated testing, CI/CD implementation, and Docker-based development. The role also supports quality, security, and deployment standards while collaborating within a Scrum team.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Own Alkira’s global platform infrastructure, including Kubernetes clusters, CI/CD systems, shared databases and storage, service lifecycle, disaster recovery, Terraform modules, observability, and production tooling in Go or Python. Drive architectural decisions, cost reduction, reliability, security, and multi-team platform adoption while mentoring engineers and participating in on-call support.

Design and build shared backend services, APIs, distributed primitives, and developer tooling used by engineering teams. Own complex platform capabilities from architecture through production support, troubleshoot Linux-based environments, improve scalability and reliability, and participate in on-call rotations. Mentor engineers through code reviews and technical guidance while developing cloud-native microservices with Golang, gRPC, and Protobuf.

Develops, tests, documents, maintains, and enhances software solutions using established design principles and development practices. The role addresses defects, security vulnerabilities, and performance improvements; participates in requirements analysis, planning, and user story development; documents standards and changes; and collaborates with and mentors software engineers. Work involves .NET technologies, source control, software development lifecycle practices, and potentially Azure or AWS cloud development.

Develops, tests, documents, enhances, and maintains software solutions using established design principles and technical standards. Reviews systems, resolves defects, remediates security vulnerabilities, improves performance, analyzes user stories, and implements business solutions. Participates in software development processes, stays current with technology, mentors engineers, and helps plan and prioritize team development work.

Develop and maintain software solutions across the full development lifecycle, including design, coding, testing, documentation, system enhancements, security remediation, performance improvements, and user story analysis. Collaborate with development teams to solve business problems using .NET technologies and software engineering best practices. Participate in Agile or Lean processes, document changes, and maintain current knowledge of tools, technologies, and industry standards.

Develop and maintain synthetic data generation tools, performance scripts, and testing frameworks. Investigate application, infrastructure, and database bottlenecks; conduct load, stress, endurance, scalability, and other performance tests; integrate testing into CI/CD pipelines; and use observability and AI/ML techniques to analyze and improve enterprise and cloud-native application reliability and performance.

Design and lead scalable backend software and infrastructure for LiveRamp’s privacy-focused data collaboration platform. Responsibilities include distributed systems architecture, global deployment, technical roadmaps, security and reliability improvements, cross-functional delivery, developer productivity, CI/CD optimization, outage resolution, and mentoring engineers. The role influences long-term platform strategy and requires expertise in high-scale production environments, system architecture, APIs, data modeling, testing, observability, and operational excellence.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

Build and maintain cloud-native microservices, APIs, event-driven workflows, and serverless applications using TypeScript and AWS. Integrate new services with legacy WordPress and PHP systems, support platform modernization, write specifications and automated tests, troubleshoot production issues, and improve infrastructure, observability, and reliability. Collaborate remotely with product, design, QA, and engineering teams while participating in code reviews and on-call support.

Design, build, test, and maintain cloud-native microservices, APIs, and event-driven workflows using TypeScript, Node.js, and AWS serverless technologies. Integrate modern services with legacy WordPress and PHP systems, develop secure and scalable APIs, troubleshoot production issues, write automated tests, and contribute to infrastructure as code, observability, documentation, code reviews, and on-call support.

Software engineering intern responsible for owning a scoped project and building production-quality features across frontend, backend, full-stack, real-time, or forward-deployed systems. Duties include developing telemetry and geospatial interfaces, backend services, APIs, event-driven systems, tests, developer tooling, and data pipelines. The intern will support integration and test events, debug distributed systems and networks, explain technical tradeoffs, and present their work at the end of the internship.

Design, build, test, document, and optimize Tailscale’s client-side networking software. Develop connectivity features involving routing, VPNs, subnet routers, exit nodes, and NAT traversal; apply secure, scalable architectures; diagnose complex customer network issues; support escalations; collaborate across product and engineering teams; and contribute to open-source networking projects.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.