Top Remote Software Engineer Jobs

Design and operate Go backend services for listing and settling prediction-market contracts. Lead migration from Python and Airflow, build provider data pipelines, reconcile events idempotently, and develop resilient settlement logic for failures and corrections. Establish engineering standards, make architecture decisions, mentor engineers, participate in on-call and incident response, and collaborate with trading, compliance, operations, and product teams.

Build and operate high-volume AWS data pipelines and bidirectional CRM integrations for educational fundraising systems. Design idempotent consumers, incremental synchronization, rate limiting, replay, migrations, monitoring, and partner-facing APIs. Collaborate with product, partner, data science, and CRM teams while improving AI-assisted engineering practices. Own major system components or end-to-end architecture, depending on level, and mentor teammates at the higher level.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Lead a portfolio company’s engineering function by writing production code, modernizing the software development lifecycle, coaching engineers, setting the product roadmap, and implementing AI-powered development and product capabilities. The role requires rapidly learning unfamiliar technology stacks, improving legacy codebases without rewrites, operating independently, and partnering closely with general managers, operators, and customers.

Lead development of full-stack, mission-critical products using Angular, React, Node.js, and AWS serverless technologies. Own projects from product definition through deployment, integrate GraphQL APIs and machine learning systems, improve developer experience and CI/CD, collaborate with clinicians and researchers, participate in customer discovery, and mentor engineers while shaping technical architecture and engineering culture.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Build and maintain backend storefront services powering BigCommerce, extend GraphQL APIs, support AI-driven shopping capabilities, resolve production issues, improve performance and reliability, review code, and collaborate on technical designs. The role requires production backend experience, API and service communication knowledge, observability and deployment practices, automated testing, and responsible use of AI coding assistants.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Lead the Kyber prototyping and rapid deployment platform, setting technical direction, rebuilding it on next-generation cloud infrastructure, and scaling it for thousands of internal users. Responsibilities include hands-on coding, architecture, product integration, cross-functional collaboration, improving tools for non-technical builders, and mentoring engineers.

Build and maintain full-stack web applications, interactive dashboards, backend integration services, resilient APIs, and data visualizations. Integrate relational and NoSQL databases, DevOps automation, cloud platforms, and AI capabilities. Troubleshoot application, database, file transfer, connectivity, security, and hybrid-cloud issues while improving continuous delivery practices. Support payer operations by enriching metadata, automating lifecycle contracts, and measuring payer performance in an agile, collaborative environment.

Build and maintain high-performance React and Next.js web applications serving millions of users. Develop backend APIs and services, improve Core Web Vitals, accessibility, SEO, observability, experimentation infrastructure, and shared UI systems. Collaborate with product, design, SEO, and content teams on scalable shopping experiences. Participate in code reviews, mentorship, technical discussions, and AI-assisted development workflows.

Build and operate Node.js and TypeScript backend services using durable workflows and AI-assisted development. Define service patterns, orchestrate migrations, maintain MCP and AI workflow tooling, and improve observability through metrics, alerts, dashboards, and tracing. Handle production incidents, contribute targeted frontend changes in React and Angular, and collaborate on architecture and code reviews in a fully remote environment.

Leads software engineering within JPMorganChase’s CTO organization, designing, developing, testing, debugging, and supporting secure, scalable production systems. Builds advanced Java applications using AWS, Aurora, and PostgreSQL; improves application resiliency and operational stability; and guides teams in responsible AI-assisted development. Reviews code, drives automation, supports incident management, evaluates architectural solutions, and coaches engineers on secure, compliant AI tool adoption. Preferred experience includes Terraform, MyBatis, Node.js, modern frontends, and AI coding tools.

Design, develop, and maintain provider-facing web portal microservices and highly available business applications. Collaborate with product managers and designers from ideation through deployment and maintenance, make technical decisions, conduct code reviews, mentor engineers, support QA, and contribute to compliance initiatives. The role involves modern and legacy technologies, AWS services, microservice and event-driven architectures, APIs, databases, front-end development, infrastructure as code, and secure handling of PHI.

Design and develop scalable, cloud-native APIs and a greenfield system replacing a legacy platform. Build production software using TypeScript, JavaScript, Node.js, React, GraphQL, REST, SQL, and automated testing. Contribute to architecture, performance tuning, reliability, Azure DevOps pipelines, and agile delivery while applying AI development tools and maintaining strong engineering standards.

Own Telnyx’s global phone-number ordering pipeline, carrier integrations, regulatory automation, AI-powered order review, and Postgres data layer. Build reliable async Python services with retries, rollbacks, queues, SLA monitoring, document verification, auditability, and human escalation. Improve automation across dozens of vendors and 45+ countries while maintaining dashboards, analytics, and operational alerts across a large microservice estate.

Owns the design, development, security, performance, and scalability of Cerby’s cross-browser Manifest V3 extension. Builds React and TypeScript experiences across extension surfaces, manages service-worker synchronization and authentication workflows, and ensures secure credential handling. Responsibilities include dependency and supply-chain security, testing, observability, code reviews, mentoring, cross-functional collaboration, and production delivery in an agile remote environment. The role also promotes responsible AI-assisted development practices.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Build and architect Alpaca’s algorithmic trading platform, developing high-performance, low-latency brokerage systems. Responsibilities include extensive frontend and backend coding, distributed system design, database and concurrency architecture, high availability, throughput optimization, and object-oriented modeling. The role requires prior experience with trading or exchange systems, including OMS and RMS platforms, and involves making critical technical decisions in a demanding early-stage environment.

Designs and delivers complex backend services and shared platform components for identity, authentication, and access control. Owns projects from design through production, breaks initiatives into milestones, resolves technical challenges, identifies risks, mentors engineers, documents technical decisions, and collaborates across teams to align engineering work with product priorities.

Develop observability software for network automation, including discovery, reconciliation, monitoring, and fleet management. Build multi-tenant, event-driven services using Go, protobuf APIs, PostgreSQL, Redis, and RabbitMQ. Apply observability and instrumentation expertise with OpenTelemetry, networking knowledge, secure coding practices, and coding agents. Collaborate with product, platform, NetBox, and open-source communities while producing technical specifications and delivering reliable integrations.

Build infrastructure for reproducible robot training and evaluation datasets, including multimodal ingestion, temporal alignment, provenance, quality controls, storage, versioning, replay, and reliable delivery. Own schemas, lineage, observability, failure recovery, safe backfills, and dataset reproducibility across video, sensor, command, intervention, outcome, and machine-health data.

Leads architecture and hands-on development of a multi-tenant ERP integration framework connecting Fleetio with SAP and Microsoft Dynamics. Owns data integrity, idempotency, tenant isolation, AWS infrastructure, technical decisions, testing standards, and production integrations. Leads engineers and QA, coordinates delivery across integration lanes, translates accounting requirements into designs, supports client demos and knowledge transfer, and establishes AI-assisted development practices.

Lead development and modernization of cloud-native Java and Spring Boot services on AWS. Drive migration from legacy systems, event-driven architecture, automated testing, documentation, production reliability, and secure API design. Build and operate production AI agents using Amazon Bedrock and related frameworks, with evaluation, guardrails, observability, cost controls, and human oversight. Mentor engineers, lead technical direction and code reviews, improve delivery practices, and collaborate across teams on customer data and enterprise applications.