Top Remote Backend Engineer Jobs

The Backend Engineer will develop cloud-native applications, engage in full life-cycle development, and work with various technologies including Java/Kotlin and AWS in a remote environment.

Design, build, and maintain scalable backend services in Node.js/TypeScript. Collaborate with product and engineering teams, resolve production issues, contribute to architecture and testing, and improve system reliability and code quality across microservices and hardware-integrated systems.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

Build and maintain backend services and APIs for onboarding, accounts, payments, cards, transfers, rewards, FX, KYC and risk. Design reliable, secure, observable systems, integrate with partners and AI services, ensure data integrity and incident handling, and collaborate with product and frontend teams to launch and improve financial products at scale.

Build and maintain secure RESTful and event-driven APIs and MCP server implementations to allow AI agents to interact with enterprise platforms (ServiceNow, Okta, ERP). Implement authentication (OAuth2/OIDC), API gateway policies, audit logging, and monitoring. Collaborate with AI and governance teams, document integrations, and ensure secure, reliable, auditable agentic workflows.

Lead design, build, and operate scalable backend services for Maps, Location, and Directory search. Collaborate with cross-functional teams, own product components, apply CI/CD and SDLC best practices, optimize data and query performance, and iterate rapidly based on user feedback and data.

Design and develop scalable backend systems for SaaS applications, mentor engineers, and lead projects while collaborating with cross-functional teams.

Build and maintain high-performance, fault-tolerant distributed backend services and data pipelines for large genomic and health datasets. Design storage, indexing, and async event workflows; optimize latency, throughput, and reliability. Partner with bioinformatics and product teams to validate scientific accuracy and guard AI-driven responses.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Design, build, and operate backend systems and infrastructure. Work on system design, databases (SQL/NoSQL), cloud platforms, containerization, IaC, CI/CD, monitoring/logging, networking, security, and Linux fundamentals in a fast-paced startup environment.

Design, build, and optimize scalable serverless backend services using AWS Lambda. Implement RESTful APIs and event-driven microservices, maintain CI/CD with GitHub Actions, troubleshoot production issues, conduct code reviews, and mentor junior engineers while collaborating with QA, Product, UX, and Support.

Lead design and hands-on development of AWS-based serverless backend and IoT cloud services. Build Python Lambda microservices, REST APIs, telemetry pipelines, and secure AWS IoT Core device communication. Mentor engineers, define architecture patterns, ensure production readiness (monitoring, CI/CD, security), and guide cross-functional integrations and technical roadmaps.

Develop and operate Java Spring Boot microservices, deploy and manage services on Kubernetes, perform JVM profiling and heap analysis, load test, diagnose memory leaks, OOMs and P99 latency spikes, remediate security vulnerabilities, and maintain GitHub-based CI/CD and branching workflows.

Lead backend development for MapMyFitness, collaborate with product/marketing/design, build and maintain APIs for mobile clients, respond to bugs, monitor and resolve incidents, ensure high availability, ship maintainable/testable code, and drive major architectural changes for a platform used by millions.

Develop and maintain backend systems and core application components. Collaborate with cross-functional teams to design scalable, high-performance solutions. Write efficient, maintainable, and optimized C++ code, debug issues, and communicate effectively within the team.

Build and scale a live ML data streaming analytics platform, lead greenfield real-time processing projects (Python/Rust), and design reliable backend services using cloud and orchestration tools.

Build and productionize backend-first AI capabilities for a FinOps intelligence platform: design backend services, implement AI features (anomaly detection, recommendations, agents), create evaluation/rollback/monitoring systems, and collaborate with product to ship reliable, cost-efficient, production-ready features.

Modernize a legacy, mission-critical system by implementing backend domain services in TypeScript/Node.js, extracting business rules from legacy Java/PL/SQL, ensuring financial-grade correctness and auditability, delivering full-stack vertical slices (React to AWS CDK), using AI-agent development tools, and maintaining CI/CD with automated testing.

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.

Design, build, and maintain scalable backend services in C#/.NET powering payment routing, connector management, and platform configuration. Build secure, observable APIs and high-volume transaction processing systems, collaborate across Product/AI/Engineering, mentor junior engineers, drive architecture and standards, and own full lifecycle from requirements to deployment.

Design, build, and maintain Chaos Engineering tooling and distributed backend systems. Collaborate with product and cross-functional teams, mentor engineers, ensure reliability through automated testing and CI/CD, integrate with cloud and external systems, and deliver production-ready features that improve system availability and customer experience.

Design and implement realistic cloud infrastructure reinforcement-learning environments to evaluate AI models. Create reproducible scenarios covering distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery. Build deterministic validation tests, golden reference solutions, and defective variants; document architectures and collaborate with technical leads. Apply DevOps and infrastructure automation for scalable, secure solutions.

Design, build and maintain backend services and data pipelines; drive technical design and implementation; ensure product and technical excellence through testing, performance tuning, instrumentation, and automation; collaborate across global teams and lead projects in distributed, large-scale systems.

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 a decentralized darkpool with high-performance matching engine, cross-chain liquidity aggregation, and fault-tolerant architecture while ensuring cryptographic privacy and low latency.