Top Software Engineer Jobs in Little Rock, AR

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

Develop, test, and maintain web applications across the full application lifecycle. Write clean object-oriented code, implement REST APIs, work with relational and NoSQL databases, deploy to cloud-native infrastructure, participate in Agile teams, support production systems (on-call), and create automated tests for reliability and performance.

Lead fullstack technical work connecting Python/Django backend services with Unity (C#) client, drive technical roadmap, own live-ops reliability and incident management, mentor cross-functional teams, deliver scalable features, and reduce technical debt for a live-service mobile/PC game.

Develop and maintain scalable Node.js/JavaScript services on AWS (Lambda, Fargate), build and monitor RESTful APIs, manage data in S3, contribute infrastructure-as-code (CloudFormation/CDK), and support integrations with Salesforce (LWC, Apex). Collaborate with senior engineers and product managers, improve systems, and document work.

Design, build, and maintain scalable cloud-based mobile and web backend systems using TypeScript/Node.js and NestJS. Develop and integrate REST APIs, support an AWS-hosted SaaS product, troubleshoot production issues, improve performance and reliability, participate in Agile/Scrum, contribute to architecture and engineering standards, and collaborate cross-functionally to translate product goals into reliable software.

Lead full-stack development across Superset frontend and backend services. Design and ship end-to-end features, improve performance and scalability, own major technical initiatives, mentor engineers, set engineering standards, and collaborate with product, design, and the open-source community.

Develop, maintain, and automate Twilio's Compute cloud infrastructure including scalable cloud-native environments, VM orchestration, hardened AMIs, ASG/EC2 management, container images, and OS libraries. Collaborate with architects and engineers, produce IaC-compliant implementations, author documentation and runbooks, participate in on-call rotation, and support legacy and new platform components using automation and best practices.

Design, modify, and program software for local, networked, cloud, or internet applications. Write code, test and debug, document installation and maintenance procedures, gather user requirements, implement enhancements, and perform related duties.

Design, develop, and maintain cloud-native applications using Node.js and React.js on AWS. Implement infrastructure-as-code (Terraform/CDK), build CI/CD pipelines, perform Linux troubleshooting, ensure secure-by-design patterns, and collaborate with architects, UI/UX, and DevOps teams to deploy and operate scalable AWS services.

Design, develop, and maintain Marketplace/App Store solutions for OneStream XF. Write reusable, efficient code; integrate data storage; optimize performance; fix bugs; maintain code quality and automation; provide ongoing support and enhancements; collaborate with engineering teams using Agile practices.

Design, build, and ship native Android features in Kotlin for BJAK's AI Neobank app. Integrate backend APIs, improve performance, reduce crashes, collaborate with product/design, use analytics to iterate, and add on-device AI where it improves UX.

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

This role involves leading web platform initiatives, mentoring senior engineers, architecting web applications, and implementing technical strategies for improved performance.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

The Software Engineer will develop a modern data platform, manage architecture, write reusable code, and ensure system integrations. Responsibilities include collaborating with teams, documenting processes, and enhancing applications.

As a Software Engineer New Grad, you'll develop features for mining operations using TypeScript and AI technologies, contributing to real-time data systems and computer vision applications.

Map and analyze Epic system tables and data to the Premier spec, develop data transformations and scripts, build SQL queries, stored procedures, and indexes, document mappings, act as SME with vendors/clients, and report project status via tools like JIRA.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.