Top Remote Backend Engineer Jobs

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.

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.

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.

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.

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, 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.

The Backend Engineer will develop high-performance trading systems, optimize algorithms, work with distributed architectures, and ensure system reliability and scalability while collaborating on blockchain-related technologies.

Design, implement, test, and operate core backend services for an AI-native context layer: ingestion, indexing, retrieval APIs, multi-tenant SaaS features, tenant isolation, quotas, and observability. Partner across product and infra, iterate quickly from prototype to production, and own system reliability and architecture.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

Design, implement, and maintain backend APIs, services, and data pipelines. Optimize database performance, manage Docker-based microservice architecture, ensure software quality with testing and monitoring, collaborate across teams, and serve on-call roughly one week per month.

Design and maintain backend infrastructure and tooling for an AI evaluations platform. Build production-grade evaluation frameworks for ASR, LLMs, TTS, knowledge bases, and guardrails. Implement API/data integrations, test configuration management, reporting, observability, and debugging tools. Partner with ML, engineering, and QA to operationalize evaluations, enable regression detection and continuous monitoring, and improve developer experience and reliability.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.

Own and build core backend services for global payments: design scalable distributed systems, integrate with banks and payment partners, ensure high availability, observability, security, and deployment workflows. Drive backend architecture, APIs, infrastructure as code, mentoring, and operational reliability.

Lead architecture, build, and operate a serverless AWS backend (Python, Lambda, CDK, DynamoDB, S3) supporting APIs, event processing, integrations (EHR/CRM/eCommerce/3PL), observability, security, and compliance. Provide technical leadership, drive platform decisions, identify risks and scalability bottlenecks, and establish backend engineering best practices across systems and teams.

Design, build, and maintain scalable, fault-tolerant backend services and data pipelines for an AI-driven cybersecurity platform. Implement secure APIs, optimize performance across distributed systems, establish backend best practices and CI/CD, write well-tested Python code, and mentor junior engineers.

The Senior Back-End Developer builds and maintains server-side operations for cloud solutions, collaborating with teams to deliver software, support users, and document features.

The Senior Backend Engineer will lead client projects, build AI solutions, and develop technical standards while mentoring junior engineers.

Design and develop robust, scalable backend systems for an AI-powered platform, focusing on performance, security, and optimization of data pipelines.