Top Remote Backend Engineer Jobs in Boston, MA

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Design and deliver scalable AI and generative AI applications using LLMs, RAG, agentic frameworks, prompt engineering, evaluation, and fine-tuning. Build backend APIs, microservices, cloud-native systems, and frontend integrations using Angular or React. Lead architecture decisions, develop observability and evaluation tooling, ensure software quality and security, collaborate cross-functionally, and mentor engineers.

Build and operate a multi-cloud, multi-tenant platform for distributed LLM inference. Responsibilities include developing fault-tolerant services across cloud and hardware environments, improving observability and cold-start performance, and creating Helm charts and Kubernetes operators for scalable deployments. The role requires backend engineering, distributed systems, cloud infrastructure, Kubernetes, and machine learning experience.

Lead backend development for an AI platform, owning architecture, scalability, reliability, and performance of high-load services. Responsibilities include evolving an AI Gateway, designing orchestration pipelines, integrating AI models, improving observability and security, and supporting RAG, MCP, and agent capabilities. The role remains hands-on with coding, design reviews, troubleshooting, and mentoring while collaborating across engineering, infrastructure, QA, and product teams.

Own backend features from inception through production, develop and improve Kotlin services, write maintainable and well-tested code, and design scalable, reliable distributed systems within a small cross-functional team.

Build and operate the inference and orchestration backend powering AI interactions across mobile and desktop applications. Responsibilities include designing production AI services, optimizing latency and throughput, managing caching, batching and streaming, and maintaining monitoring, logging, alerting, and incident response systems. The role requires reliable APIs, distributed-systems debugging, and scalable integration with LLMs, embeddings, and multimodal models.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

Designs, builds, tests, deploys, and documents backend AWS solutions and delivery pipelines. Responsibilities include developing serverless and multi-tenant SaaS applications, maintaining infrastructure with AWS CDK, owning DevOps and production support, defining data and architecture standards, reviewing AI-generated code, mentoring engineers, and improving engineering practices.

Build and operate Ramp’s communications platform for transactional messaging across email, SMS, push, Slack, Microsoft Teams, and WhatsApp. Own platform components such as delivery workflows, channel integrations, preferences, reliability, and observability. Design idempotent and resilient asynchronous systems, guide technical direction, improve developer tooling, and collaborate across product, design, and engineering while mentoring teammates.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Design, develop, and maintain scalable backend applications using PHP and Laravel. Build RESTful APIs, PostgreSQL schemas and queries, third-party integrations, automated tests, and Dockerized services across AWS. Monitor application health, troubleshoot defects, participate in code reviews, improve CI/CD workflows, and document technical processes. Collaborate with product, frontend, QA, and DevOps teams in a remote Agile/Scrum environment to deliver reliable software supporting clinical workflows.

Leads architecture, development, deployment, and operations for Python backend services supporting internal penetration testing. Designs scalable ETL pipelines, distributed workflows, relational data models, SQL queries, GraphQL APIs, and graph-based attack-path data systems. Owns reliability, observability, performance, and production operations while coordinating cross-team initiatives. Provides technical direction, writes architecture documentation, mentors engineers, and partners with frontend, product, data, and attack teams to deliver customer-facing security results.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, microservice-based systems; identify bottlenecks; improve reliability, scalability, and business logic; and contribute to modernization and architectural decisions. Work independently across the stack, communicate technical trade-offs, mentor junior developers, and use AI and automation tools to improve engineering outcomes.

Design and scale asynchronous Python backend systems, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Own relational data models, observability, performance, CI/CD, and production deployment. Establish AI governance covering code review, provenance, licensing, security, compliance, and customer data handling. Drive ideas from concept through production while owning architecture and outcomes.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, metering, integrations, governed data access, and distributed platform capabilities. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while addressing failure modes, consistency, idempotency, and scalability.

Develop and maintain Salesforce Commerce Cloud ecommerce websites, integrations, feeds, and platform features. Design architecture, troubleshoot performance and caching, manage domains and repositories, ensure platform compliance, mitigate project risks, and optimize site infrastructure. Collaborate with agencies and cross-functional teams while developing and mentoring junior engineers.

Develop scalable Django back-end applications and RESTful APIs; design databases, schemas, ER diagrams, data flows, authentication, and authorization systems. Configure cloud infrastructure and production deployments, optimize PostgreSQL performance, write automated tests, and manage Linux servers with Bash, SSH, and shell scripting. Collaborate with cross-functional teams, document systems, and contribute to scalable architecture. This is a remote, unpaid internship requiring at least 30 hours weekly.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Set technical direction for enterprise platform services supporting licensing, entitlements, account administration, onboarding, provisioning, notifications, and partner workflows. Design secure, scalable multi-tenant architectures and lead cross-team technical initiatives from ambiguity to implementation. Improve reliability through observability, testing, safe deployments, incident learning, and operational documentation. Contribute hands-on through design and code reviews, mentor senior engineers, and influence engineering, product, and business stakeholders.

Build and operate backend services and APIs for secure, multi-tenant administration workflows, including user access, account hierarchies, settings, roles, access controls, and audit logs. Own features from design through production support, applying strong data modeling, authorization, testing, observability, and reliability practices. Collaborate with Product and engineering teams, investigate production issues, document systems, and mentor teammates.

Architect and build high-scale backend systems for payments, fraud detection, compliance, and user management. Lead cross-domain architecture decisions, optimize distributed microservices for reliability and performance, mentor engineers, establish engineering standards, and collaborate with product and compliance teams. The role requires expertise in Python, databases, cloud infrastructure, distributed systems, event-driven architectures, system design, and financial integrations.

Build and maintain payments infrastructure, including usage tracking, pricing, billing, payment providers, and stream-processing services. Collaborate with Finance, Tax, Growth, Sales, and engineering teams to support compliance, reporting, experiments, and customer payments. Plan migrations, debug complex production billing issues, and safely evolve live systems handling money. Requires Python expertise, backend development experience, software and system design knowledge, testing and security fundamentals, and strong problem-solving ability.