Top Remote Software Engineer Jobs in New Orleans, LA

Build and evolve Fetch’s backend data platform, including pipelines, governed data access, delivery infrastructure, and partner integrations. Own ambiguous technical problems, lead cross-system initiatives and migrations, improve reliability and engineering efficiency, shape technical direction, collaborate across teams, and mentor engineers. The role requires strong platform engineering judgment, scalable systems experience, operational awareness, and the ability to influence stakeholders in an evolving environment.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Develop and maintain high-reliability, high-throughput backend systems for managing security certificates and configurations. Responsibilities include designing scalable systems, building features, optimizing performance, working with relational and NoSQL databases, and collaborating with testing and SQA teams on deployments. The role requires project-based experience with Java, Spring, Spring Boot, Angular, Terraform, SQL, Linux/Unix, and database technologies.

Develop incident-response dashboards and SLO-based alerts, improve logging, metrics, tracing, authentication, and infrastructure observability, benchmark cloud storage, review security and network configurations, optimize costs, build application features, create infrastructure-as-code for AWS, GCP, and Azure, and support IAM needs.

Design, build, operate, and maintain highly available distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features end to end, improve reliability and performance, review code and designs, manage releases, participate in follow-the-sun on-call rotations, and collaborate remotely with teammates and customers. Work primarily with Go across Kubernetes-based cloud infrastructure and observability systems such as Mimir, Loki, Tempo, and Pyroscope.

Design, build, operate, and maintain large-scale distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features from concept through production, improve reliability and performance, participate in design reviews and on-call rotations, contribute to roadmap decisions, and collaborate remotely with engineers. The role focuses on Go-based cloud services running on Kubernetes across AWS, GCP, and Azure, with observability, DevOps, and customer-focused software development responsibilities.

Develop and maintain Intelerad’s Unified Storage Layer and cloud storage services for medical imaging applications. Responsibilities include designing software features, translating support and stakeholder requirements into solutions, debugging cloud infrastructure, managing Kubernetes, Terraform, AWS, and CI/CD environments, reviewing code, documenting systems, and delivering work within an Agile/Scrum team.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Designs and implements scalable application networking features for Elastic Cloud, including ingress, security controls, private connectivity, and DNS. The role involves performance analysis, load testing, monitoring, incident troubleshooting, root cause analysis, and developing diagnostic tools. The engineer collaborates across teams to meet networking requirements, improve platform reliability, and apply best practices using Golang, Kubernetes, cloud networking, and distributed systems technologies.

Build and own OpenRouter’s financial infrastructure, including flexible pricing, quote-to-cash automation, usage metering, billing, payments, collections, double-entry ledgering, provider settlements, and reconciliation. Ensure financial correctness through idempotency, auditability, anomaly detection, and access controls. Partner with Provider, Trust & Safety, Sales, Customer Success, and Finance teams to deliver scalable usage-based financial systems.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Develop and scale backend Java and Kotlin software powering patch discovery, packaging, and deployment across millions of endpoints. Design scalable systems, APIs, data structures, caching solutions, and relational databases while maintaining high testing and code-quality standards. Collaborate with AI workflow, server, platform, design, and product teams. Occasional React or Angular work may support patching workflows and dashboards.

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Own and deliver complex full-stack software features for custom labs and related applications. Design, build, test, document, and maintain APIs, databases, user interfaces, infrastructure, and libraries using C# or JavaScript/TypeScript. Lead AI-assisted development workflows, review generated code, ensure security and quality, collaborate with cross-functional Scrum teams, estimate scope, and participate in on-call support.

Develop and maintain a Ruby on Rails EHR platform across front-end and back-end layers. Resolve production defects, build features, optimize SQL queries, write automated tests, participate in Agile delivery, and follow secure development practices for PHI. Collaborate with product, QA, and engineering teams while using AI-assisted development tools. Healthcare, EHR, interoperability, HIPAA, pharmacy workflow, CI/CD, and modern front-end experience are required or preferred.

Build and maintain full-stack monetization features across web and mobile, including enrollment flows, paywalls, subscriptions, reactivation, and marketing integrations. Collaborate with Product, Design, Marketing, and Data teams to run experiments and improve revenue outcomes. Use analytics, observability, AI-assisted development, testing, and software engineering best practices to deliver reliable products for millions of customers.

Build and maintain backend product features using Python, Django, and relational databases. Develop APIs, asynchronous jobs, integrations, internal tools, and data-processing workflows while using and critically reviewing AI-generated code. Investigate incidents, resolve customer-impacting issues, improve reliability and database performance, and protect data integrity, security, tenant isolation, and auditability. Own work through testing, deployment verification, documentation, and follow-up while collaborating closely on a small engineering team.

Build and operate production Web3 products across backend, frontend, and smart contracts. Develop Go and TypeScript services, React dApps, SDKs, tokenization infrastructure, smart-wallet integrations, and blockchain event processing. Own on-chain/off-chain architecture, security, testing, observability, deployments, and on-call operations. Review code and configure AI-assisted engineering tools for the repository.

Develop and maintain C#/.NET software for electric and gas distribution engineering tools. Implement features, fixes, integrations, tests, and CI/CD automation while configuring enterprise systems for customer needs. Collaborate in Scrum, participate in reviews, reduce technical debt, document processes, and mentor teammates. The role may involve GIS or Enterprise Asset Management integrations and requires strong software development experience in utility or energy infrastructure environments.

Build and own mobile SDKs for identity and fraud prevention products, focusing on Android development, device-level signal collection, authentication, and emerging agentic identity use cases. Partner with product and engineering leaders on architecture and roadmap decisions, improve observability and production resilience, mentor engineers, and drive technical initiatives across Twilio and Stytch.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in web crawling, distributed processing, GCP, Terraform, and audio or ML training data.

Build large-scale data pipelines and processing systems that produce high-quality audio datasets for AI model training. Discover data sources, optimize throughput, quality, and cost, operate production systems, and collaborate with AI scientists on next-generation models. The role requires strong backend software engineering, independent problem-solving, and ownership of projects from discovery through continuous improvement.

Build and operate large-scale data pipelines that collect audio data for AI training. Responsibilities include discovering data sources, optimizing data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale data pipelines for AI training datasets, including discovering audio sources, processing data efficiently, optimizing quality and cost, and collaborating with AI scientists. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving in ambiguous environments.