Top Backend Developer Jobs

Build backend services, ontology models, retrieval and evaluation systems, and production LLM workflows for legal drafting and review. Own features end to end across PostgreSQL, OpenSearch, graph databases, and AWS, while improving performance and scale. Work directly with law firm customers alongside senior forward deployed engineers, contribute to TypeScript and React interfaces, and translate vague customer problems into data models, retrieval improvements, or software fixes.

Build backend services and AI systems for legal drafting, review, and search workflows. Model legal knowledge into ontologies, develop retrieval and evaluation infrastructure, test LLM prompts, optimize queries and performance, and deploy solutions with customers. The role also includes occasional frontend work in TypeScript and React, customer collaboration, and end-to-end ownership of product features.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Leads the design, development, and implementation of scalable Java backend services using Spring Boot, microservices, REST APIs, and AWS. Owns API, security, testing, architecture, technical documentation, and production incident response. Drives engineering excellence through mentoring, Agile delivery, CI/CD, containerized deployments, continuous improvement, and adoption of AI-assisted development tools.

Lead backend engineering for Coupang’s fulfillment picking systems. Design scalable microservices, distributed architectures, and machine learning pipelines supporting inventory and promise workflows. Lead complex cross-functional projects, decompose technical problems, optimize performance and fault tolerance, and operationalize highly available production systems. Mentor engineers, influence multiple teams, and promote engineering best practices across the organization.

Lead a team and portfolio building distributed microservices and cloud-based back-end systems. Collaborate with product managers, mentor engineers, drive regulatory-compliant solutions, and deliver scalable AWS-based services using Java, Go, container orchestration, databases, and CI/CD pipelines.

Lead a team building cloud-native backend systems (microservices, serverless) using Go and other languages on AWS. Own DPI automation, SDLC and test automation, SRE/CD practices, mentor engineers, collaborate with product managers, and deliver scalable GraphQL and data-driven solutions.

Lead backend engineering efforts to design, build, test, and deploy cloud-native, AI-enhanced microservices. Mentor engineers, drive architecture and technical direction, integrate LLMs and advanced AI tooling, and ensure scalable, performant omnichannel messaging platforms.

Leads architecture and development of large-scale backend microservices, data and feature pipelines, search infrastructure, and ML-serving systems. Designs high-throughput, low-latency distributed services, drives platform modernization, and collaborates with product, UX, and data science teams. Leads 6–10 engineers through technical direction, reviews, mentoring, and quality practices. Owns experimentation, observability, reliability, production ML optimization, technical roadmaps, and cross-team alignment for Walmart’s global search platform.

Build reliable AI-powered, agentic backend systems to remove friction across the software development lifecycle. Design multi-step orchestration, safety checks, and evaluation tooling; apply distributed-systems judgment; work across GitLab codebases and with a distributed team to productionize solutions that may become customer-facing.

Lead technical direction for a greenfield team building agentic/LLM-backed systems to reduce SDLC friction. Drive discovery through shipping, apply distributed-systems judgment at scale, mentor engineers, own technical hiring and cross-team alignment, and evaluate correctness and safety of agentic workflows.

Design, build, and operate large-scale distributed backend services. Architect scalable, reliable, high-performance platforms; manage capacity planning, performance tuning, data stores, cloud infrastructure, and message systems. Apply distributed-systems principles, debug complex issues, perform root-cause analysis, and mentor engineers. Preferred responsibilities include leading cross-team technical initiatives and operating Kubernetes-based platforms.

Lead backend platform development for high-throughput shared services, including request routing, traffic management, caching, asynchronous jobs, and durable event processing. Design and operate distributed systems with strong consistency, availability, latency, and failure-mode characteristics. Lead multi-quarter initiatives, make technical decisions, manage stakeholders, mentor engineers, and improve developer experience. Preferred experience includes Kubernetes platforms, open-source infrastructure, service meshes, workflow orchestration, versioned APIs, and technical community contributions.

Build and scale customer-facing full-stack platforms using React, TypeScript, Go, Java, Python, Node.js, and AWS. Develop APIs, microservices, distributed systems, databases, cloud infrastructure, and automated deployments. Participate in architecture and code reviews, testing, security, observability, CI/CD, and production troubleshooting. Collaborate with product and design teams, communicate technical decisions, mentor engineers, and independently deliver complex initiatives across distributed Agile teams.

Lead design, implementation, and maintenance of scalable backend systems and services. Improve performance, reliability, and deployments; operate production systems (incident response rotation); conduct code reviews; mentor engineers; collaborate with product, sales, and customers.

Own and extend an Elixir and Phoenix backend powering a building configurator, pricing engine, structural calculations, and internal tools. Implement numerically complex business logic, background processing, database functionality, third-party integrations, authentication, testing, CI/CD, code reviews, and releases. Work independently while communicating decisions and progress clearly with the backend lead and front-end developer.

Designs, develops, and maintains backend services, APIs, data structures, and architecture for conversational AI and automation applications. Integrates systems such as scheduling platforms and EHRs, implements authentication and HIPAA-appropriate security controls, and protects PHI and PII. Optimizes performance, scalability, reliability, and stability while troubleshooting defects. Collaborates with product, QA, integration, frontend, and design teams to deliver secure, reusable, well-tested solutions.

Design, build, and operate backend services and infrastructure powering large-scale simulation and inference. Own Terraform-based IaC, CI/CD pipelines (Jenkins), build systems (CMake, Python packaging), and harden prototypes into production-ready systems while partnering with researchers and engineers.

Audit backend services, APIs, databases, queues, and data flows for scalability and reliability issues. Identify bottlenecks, document findings, and implement production fixes including code refactoring, schema redesign, caching, indexing, query optimization, and service restructuring. Partner with engineers through pairing, reviews, and handoffs. Conduct performance and load testing while improving system latency, resilience, and infrastructure efficiency.

Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Build and maintain backend services, APIs, and document-processing pipelines for PDFs, Office files, email containers, and OCR workflows. Improve database and background-task performance, reliability, testing, observability, authentication, authorization, and secure system design. Collaborate with search and AI engineers on large-scale indexing and retrieval using Python, Flask, PostgreSQL, Redis, Elasticsearch, Docker, and related technologies.

Develop scalable backend applications and robust APIs for Salesforce’s multi-tenant cloud platform. Responsibilities include architecture, implementation, testing, system integrations, large-scale cloud data processing, CI/CD, on-call support, and evaluating human- or AI-generated code. The role emphasizes AI-first engineering, advanced prompt engineering, secure AI agent integration, and maintaining reliable system context and engineering standards.

Designs, develops, and maintains backend services and data pipelines for a scalable data platform. Writes production Python and SQL, architects storage and processing solutions, leads technical decisions and cross-functional initiatives, troubleshoots production issues, reviews code, mentors engineers, and collaborates with data science, product, and engineering stakeholders.

Build and scale backend services powering an AI scheduling assistant: orchestrate scheduling, email, API and LLM integrations; develop trainer and operations tooling; contribute to architecture and technical direction.

Design, develop, and maintain Java backend services across modern microservices and legacy enterprise platforms. Build REST and SOAP integrations, optimize Oracle database access, troubleshoot production issues, contribute to testing and CI/CD, and support application modernization. The role includes technical planning, architecture collaboration, code reviews, mentoring, documentation, stakeholder communication, roadmap execution, candidate interviews, and occasional client travel.