Top Remote Software Engineer Jobs

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.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.

Lead the architecture and implementation of Docker’s AI Gateway, including model and tool routing, MCP, control-plane systems, credential vaulting, policy enforcement, observability, analytics, caching, and rate limiting. Solve complex distributed-systems problems, establish technical direction, improve infrastructure, mentor engineers, and shape product strategy. Build secure, scalable services supporting model orchestration, agent evaluation, replay, and enterprise-grade governance.

Develop and optimize Solana consensus mechanisms, algorithms, and infrastructure for secure, scalable, high-performance blockchain operation. Responsibilities include improving validator coordination, testing through stress and fault-injection scenarios, performance benchmarking, security analysis, documentation, code review, and collaboration with protocol, security, and infrastructure teams.

Own the technical vision and architecture for ServiceTitan’s iOS and Android mobile platform. Design scalable, reliable, secure, and high-performing systems; modernize monolithic codebases; improve observability, developer productivity, CI/CD, testing, and release processes. Mentor engineers, influence mobile strategy, define success metrics, support recruiting, and collaborate with cross-functional stakeholders. The role is approximately 60% development and requires expertise in native mobile development, performance engineering, modular architectures, and cloud-supported mobile backends.

Architect and lead development of Kong Identity’s multi-tenant platform, including token management, claims engines, federation, client management, security controls, compliance, observability, and developer tooling. The role focuses on globally distributed, high-performance identity infrastructure, advanced OAuth and OpenID Connect capabilities, fraud prevention, extensibility, and enterprise integrations. The engineer will drive technical strategy, mentor teams, and support zero-trust, workload identity, and service mesh patterns.

Provides strategic and hands-on technical leadership for government healthcare modernization projects. The role includes architecture, software development, cloud deployment, CI/CD, infrastructure as code, APIs, databases, data pipelines, testing, and production support. The engineer advises Medicaid policy analysis and process automation initiatives, leads stakeholder and client discussions, mentors teams, shapes engineering standards, supports staffing and hiring, contributes to business development, and ensures secure, compliant, human-centered delivery across complex government systems.

Design, develop, troubleshoot, and support secure, high-volume software applications in an Agile environment. Provide technical leadership across the software development lifecycle, lead code and design reviews, establish automated testing, monitor production systems, and improve quality practices. Collaborate with architects, product partners, customers, and engineers while mentoring team members. Build and maintain AI-enabled components responsibly, applying security, privacy, governance, observability, and compliance standards.

Develop and maintain end-to-end SaaS features spanning backend APIs, data pipelines, AI agents, interactive frontends, databases, and cloud infrastructure. Lead technical workstreams from requirements through rollout, scale performant and secure systems, collaborate with users and cross-functional teams, mentor engineers, contribute to architecture and code reviews, and improve engineering practices. The role requires significant software engineering experience and ownership of enterprise-quality software delivery.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Provides principal-level technical leadership for scalable learning and skilling platforms. Designs architectures, writes and reviews production software, leads full software lifecycles, and applies Azure, AI, Copilot, Power Platform, and custom solutions. Responsibilities include secure integrations, CI/CD, infrastructure as code, testing, observability, production support, Responsible AI, reusable components, cross-team technical alignment, and engineering mentorship.