Top Remote Software Engineer Jobs

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

We are looking for a Senior .NET Software Engineer to take ownership of features and drive architectural decisions while building AI-powered EMR software.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Build and maintain NetBox Enterprise, an on-premises product suite. Responsibilities include architecting Kubernetes-based high-availability solutions, extending Kubernetes operators, developing lifecycle management tools, building CI/CD pipelines, managing releases, writing Rust and Python, supporting integration testing, documenting deployment practices, and resolving customer deployment and operational issues.

Lead design and operation of Block's real-time, event-driven data systems. Build and run high-throughput streaming pipelines, turn Kafka event streams into low-latency data products, improve reliability and observability, mentor engineers, and define platform architecture and standards for projections, third-party data proxy, and graph data capabilities.

Lead portfolio-scale architecture and delivery for cloud-native enterprise platforms. Design backend services, APIs, serverless solutions, integrations, and React interfaces; establish security, reliability, observability, performance, and cost standards. Drive complex initiatives across the SDLC, mentor engineers, conduct design and code reviews, partner with product stakeholders on roadmaps and metrics, and guide architectural decisions, technology adoption, and secure-by-design practices.

Design, develop, test, document, and maintain scalable big data solutions. Build APIs, evaluate technologies, translate requirements into solution designs, estimate development efforts, and collaborate with engineering, QA, architecture, and management teams. Provide production support, participate in prototypes and code reviews, document solutions, and continuously develop technical skills.

Leads the design, development, testing, and optimization of large-scale data engineering solutions. Responsibilities include building Python and PySpark ETL pipelines, orchestrating workflows, developing AWS cloud-native services, managing data lakes and Snowflake environments, and implementing testing, CI/CD, and secure engineering practices. The role also promotes responsible AI-assisted development, mentors engineers, participates in code reviews, and drives technical delivery initiatives.

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

Support development and sustainment of mission-focused applications, backend services, APIs, and data pipelines. Collaborate with data scientists and stakeholders to build, troubleshoot, and improve performance, contribute to code reviews and documentation, and deliver reliable capabilities in an agile, remote-first environment.

Anrok seeks a Software Engineer with 7+ years experience to own product feature development, fix bugs, and collaborate on technical issues.

Own and expand a Three.js-based in-browser solar configurator: implement and optimize 3D geometry tools and workflows, build product-facing frontend features, collaborate with backend and computational teams, translate solar physics into usable design tools, define frontend/3D architecture, and ensure performant, stable UX across edge cases.

Own and expand a Three.js/R3F in-browser solar configurator: build and optimize 3D geometry tools and UX, collaborate with backend and simulation teams, ensure performant real-time rendering, and deliver frontend product features across the Aether platform.

Lead platform and developer experience initiatives that improve engineering velocity, reliability, and system performance. Build reusable Node.js, TypeScript, Nest.js, and React.js patterns; optimize PostgreSQL and Kafka systems; manage Kubernetes and ArgoCD deployments; modernize legacy code; improve CI/CD and observability; and mentor engineers. Translate ambiguous technical challenges into roadmaps, lead cross-team architecture work, and strengthen engineering practices through coaching, documentation, and workshops.

Own the design, implementation, operation, and improvement of third-party integrations, public APIs, SDKs, and internal connectors. Build resilient event-driven workflows using Kafka and Redis, optimize PostgreSQL schemas and queries, operate Kubernetes services, manage production incidents, and lead refactoring efforts. Provide technical leadership through system design, code reviews, mentoring, and cross-functional communication while ensuring reliable, versioned, high-performance integration systems.

Develop and implement full stack features for a healthcare platform, focusing on both frontend (React) and backend (Node.js) development. Responsible for performance optimization, API creation, testing, and collaboration with data engineering teams.

Senior .NET Software Engineer responsible for end-to-end software development using Microsoft technologies. Requires extensive experience in SDLC, design principles, technical documentation, web application development with .NET, Agile/SCRUM, Entity Framework, database design, and version control. Familiarity with project tools JIRA, TEMPO, Bitbucket, and Confluence preferred.

Own technical strategy and architectural decisions across multiple engineering squads. Design scalable distributed systems, APIs, data models, and cloud-native platforms while building shared systems that improve delivery. Partner with product and engineering leadership, resolve ambiguous technical challenges, establish AI-assisted development practices, and mentor engineers through design reviews and cross-team collaboration. The role requires full-stack expertise and strong influence, communication, and technical leadership in a high-stakes B2B SaaS environment.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial services, routing and map-matching foundations, and reusable APIs. Scale storage, queries, and computation for real-time products, consolidate fragmented geospatial solutions, develop customer self-service capabilities, and provide mentorship through code reviews and design leadership. Collaborate across teams and represent Samsara in the mapping and geospatial community.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Design, build, and maintain Scala backend systems for real-time auto-liquidation, risk evaluation, account management, trading, and post-trade processing. Develop actor-based, event-driven services; design PostgreSQL schemas; troubleshoot distributed production issues; improve observability and code quality; contribute to architecture and legacy modernization; collaborate cross-functionally; and mentor junior engineers.

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.

Leads design, development, testing, troubleshooting, and operational support for secure Java and Spring Boot microservices. Builds scalable AWS cloud-native services, establishes API and engineering standards, improves resiliency and observability, automates recurring issue remediation, and reviews production code. Guides responsible adoption of AI-assisted engineering tools, validates AI-generated outputs, coaches engineers on secure practices, and collaborates with security, risk, and architecture partners.

Design, develop, test, and maintain scalable software solutions for a store fulfillment platform. Collaborate with product and UX teams, troubleshoot production issues, perform root cause analysis, and deliver reliable code. Lead small engineering groups, mentor teammates, implement CI/CD automation, monitor application performance, and support quality, security, availability, and scalability standards.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.