Top Remote Backend Engineer Jobs

Design, build, test, deploy, and support scalable backend applications across the full software development lifecycle. Collaborate with product, UX, nutrition, vendors, and business stakeholders to define solutions and interfaces. Solve complex architectural problems, refactor code, mentor engineers, communicate technical direction, and develop distributed systems using cloud, big-data, and backend technologies.

As a Software Engineer, you'll design, build, and maintain IAM solutions, ensuring security and reliability while working with cloud computing standards.

Lead design, development, and production deployment of ML and generative AI solutions at scale. Drive personalization, pricing, experimentation, agentic AI, and simulation modeling. Partner with engineering and product teams, mentor engineers, influence technical strategy, and measure business impact through data-driven experimentation.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Develop and maintain scalable Java backend applications, REST APIs, and microservices. Integrate backend services with frontend systems and third-party platforms, write efficient code, conduct reviews, troubleshoot issues, optimize performance, and implement security measures. Collaborate with QA, product, and frontend teams while participating in Agile ceremonies, testing, documentation, and service improvements.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Design and build scalable backend systems, data pipelines, and cloud infrastructure. Own CI/CD, containerization, databases, and reliability; collaborate with tech leads to deliver secure, production-grade solutions for startups in a fully remote environment.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

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 and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Design, build, ship, and own backend product features used by developers and mobile app users at large scale. Scope projects, write reliable and tested code, monitor production systems, participate in architecture and roadmap decisions, respond to incidents, improve scalability and performance, communicate remotely, and mentor engineers. The role requires end-to-end ownership from problem definition through rollout and long-term maintenance.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build and operate real-time, event-driven microservices that process large-scale penetration-testing telemetry into findings, attack paths, reports, and customer insights. Responsibilities include migrating batch logic to streaming architectures, designing distributed systems, managing schemas and storage, correlating hosts and identities, ensuring observability and operational excellence, and contributing to technical design, APIs, documentation, and incident response.

Design and build reliable backend services powering clinical data, insurance billing, patient-facing infrastructure, and financial ledger systems. Scale high-integrity systems requiring idempotency, strong consistency, and pragmatic AI integration to automate provider workflows and enable personalized patient experiences.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Develop and maintain backend applications using .NET, C#, Redis, OpenSearch, AWS, and cloud-native technologies. Responsibilities include troubleshooting software issues, optimizing performance and reliability, conducting code reviews, supporting applications, and leading software and process improvements. The role also involves mentoring colleagues, collaborating independently or with teams, and ensuring high-quality software delivery.

Build and maintain production backend systems for a real-time learning AI engine: APIs, data pipelines, performance optimization, testing, CI/CD, and troubleshooting. Collaborate with AI researchers, prototype features, and operate LLM instances (Claude) at scale.

Develop and operate highly scalable backend systems and AWS infrastructure. Responsibilities include maintaining Python HTTP services, working with DynamoDB, Elasticsearch, and Redis, provisioning cloud resources through infrastructure as code, reasoning about distributed systems, and owning software from design through monitoring. The role also focuses on reliability, security, performance, cost optimization, observability, technical roadmaps, and collaboration with engineering and product stakeholders.

Design, develop, test, deploy, and maintain scalable Java backend applications using Spring Boot and microservices. Build RESTful and SOAP integrations, optimize performance and reliability, implement security controls, and develop relational and NoSQL database solutions. Collaborate with architects, product owners, and frontend teams; participate in design reviews and architectural decisions; troubleshoot production issues; and uphold DevOps, CI/CD, coding, and Agile practices. Mentor junior developers and guide technical discussions across enterprise development teams.