Top Remote Backend Engineer Jobs

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Design, build, and operate Java backend services, REST APIs, compliance capabilities, and analytics products. Develop blockchain data pipelines, model relational and NoSQL data, optimize queries, and improve production reliability, observability, and performance. Translate regulatory requirements into technical solutions while collaborating with compliance and product specialists. The role may also involve AWS infrastructure, Kafka, crypto integrations, and AI-assisted development tools.

Lead technical strategy and delivery for backend marketplace/search systems. Collaborate with PM, design, and analytics; own operational reliability, monitoring, on-call, testing, and runbooks; set code/design standards; drive major feature delivery and deprecations; mentor and develop engineering talent.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Design, implement, and optimize high-performance backend systems in Rust for an xOT security platform. Participate across the development lifecycle—debugging, testing, and performance tuning—while integrating relational and NoSQL data stores, microservices, third-party devices, and AI tools. Provide technical leadership, code review feedback, and promote secure, reliable, observable distributed systems.

Build and optimize high-performance backend systems for an xOT security platform using Rust. Participate across development lifecycle, design scalable microservices, integrate third-party devices and data providers, incorporate AI tools, and improve observability and reliability through testing, debugging, and peer review.

Design and implement high-performance backend systems in Rust, optimize architectures, participate across the development lifecycle (debugging, testing, optimization), integrate third-party devices and data, incorporate AI tools, mentor senior engineers, and lead architectural and technical strategy across teams.

Design, build, and maintain backend services powering Clerkie's platform. Improve reliability, performance, scalability, observability, and support feature development. Participate in technical design, cross-functional collaboration, documentation, and own projects end-to-end in a fast-moving startup environment.

Design, build, and operate scalable AWS-based backend services and APIs for the Collectors Vault. Own architecture and delivery, improve performance and reliability, mentor engineers, and leverage modern AI tools to accelerate development and engineering velocity.

Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.

Build and operate the Power Packs customer experience and backend services. Design data foundations, APIs, and integrations across platform services. Troubleshoot distributed systems, contribute full-stack plumbing as needed, improve observability and documentation, and collaborate with Product and partner teams to deliver scalable, multi-tenant marketplace capabilities.

Design, implement, and evolve complex backend features and architecture. Improve reliability, performance, and security at scale. Mentor engineers, participate in incident response, set backend standards, and integrate agentic AI into production workflows.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

Own and improve the data foundation for Radar's geocoding platform: model and serve location data, build large-scale ingestion and integration pipelines, improve coverage and quality, apply LLMs/agents for enrichment and labeling, work across Scala/Python/Rust and the Node.js API, operate systems at very high throughput, and engage with customers to inform product decisions.

Design, build, and maintain Python backend services and internal APIs for high-traffic hosting platforms. Administer Linux production systems, optimize MySQL queries and schemas, troubleshoot incidents, and participate in on-call rotation. Collaborate with senior engineers and cross-functional teams to deliver tested features, modernize legacy Perl systems, and contribute to technical design decisions. Apply AI responsibly throughout development, debugging, testing, and code review.

Build and maintain Python backend services, internal tools, and automations; support Linux production systems; write and optimize MySQL queries; use and review AI-assisted development tools; collaborate with senior engineers; participate in code reviews, sprint ceremonies, documentation, troubleshooting, and incident response.

Lead the architecture, development, deployment, and reliability of scalable APIs for Afresh’s flagship AI ordering product. Partner with product, account management, and engineering teams to deliver integrated solutions, support the existing iPad application, and shape future product direction. Drive projects from conception through launch, enforce testing and release best practices, mentor junior engineers, participate in Agile ceremonies, and provide constructive code reviews.

Build, deploy, and operate Java/Spring Boot backend services in a cloud-native microservices architecture. Develop APIs with gRPC/Protobuf and REST, work with PostgreSQL, contribute to Kafka-based event-driven features, use AWS services, write automated tests, review code, and validate AI-generated code. Collaborate with senior engineers, product teams, U.S. leadership, and Spanish-speaking stakeholders to deliver software independently.

Design and implement backend and real-time features in the GitLab monolith for portfolio planning at scale. Optimize PostgreSQL performance, evolve APIs (GraphQL/REST), build capacity planning and work-item hierarchies, create proofs of concept, maintain automated tests, support safe rollouts with feature flags and observability, mentor contributors, and participate in on-call and production troubleshooting.

Build Python applications, RESTful APIs, and microservices integrating AI and LLM capabilities. Develop CI/CD pipelines and deploy containerized systems with Docker and Kubernetes across AWS, Azure, or GCP. Ensure reliability through Pytest, code reviews, post-mortems, and on-call rotations. Collaborate with design, product, and cross-functional teams to deliver scalable AI-driven solutions.

Lead the architecture and development of highly available backend systems, production APIs, data pipelines, event-driven services, and MLOps infrastructure. Build and deploy AI, LLM, and generative AI solutions using distributed systems, Kafka, cloud-native platforms, and relational or NoSQL data models. Mentor engineers, establish technical standards, monitor production systems, improve operational reliability, and collaborate with product and cross-functional stakeholders on technical roadmaps.

Build and maintain data pipelines, PostgreSQL systems, Kubernetes infrastructure, deployment tooling, and SaaS integrations. The role includes infrastructure reliability, observability, incident response, security collaboration, Salesforce data flows, CI/CD, testing, debugging, and agile delivery. The engineer will connect data infrastructure with Techstars OS product teams and improve reliable, secure systems across the organization.

Lead development of security enforcement integrations that warn or block unsafe AI artifact installations, serve sanitized alternatives, and record audit events. Build reliable event-driven backend systems with queues, webhooks, idempotency, retries, back-pressure, approval flows, dry runs, audit logs, and rollback mechanisms. Integrate third-party security, infrastructure, and identity APIs, with potential future work on fleet-wide revocation controls and security platform integrations.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, ensure availability, scalability, operational excellence, and cost management. Build, test, debug, and participate in incident resolution while leveraging AI tools to accelerate development and maintain secure, production-ready code.