Top Remote Software Engineer Jobs

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Build and operate production Python pipelines and backend services for infrared satellite data, processing imagery from raw captures through derived wildfire products. Optimize latency and cloud costs, develop geospatial data catalogs and APIs, create visualization tools, and implement testing, observability, and reliable release processes. Partner with remote-sensing scientists to productionize research code and collaborate across data platform and flight software teams.

Lead architecture and development of scalable, reliable software platforms and shared services for government programs. Deploy and operate infrastructure in classified, regulated environments while meeting security, compliance, and accreditation requirements. Own technical strategy, architectural decisions, metrics, performance improvements, and multi-month initiatives. Mentor engineers, establish engineering standards, and partner cross-functionally to deliver mission-critical customer-facing systems.

Lead architecture and implementation for scalable infrared Earth-observation data platforms. Design low-latency event-driven systems, cloud infrastructure, geospatial storage and cataloging, and MLOps foundations for ML-derived products. Drive multi-quarter initiatives from design through production rollout, establish engineering standards and operational practices, coordinate across engineering and business functions, and mentor technical teams.

Lead technical direction and multi-quarter delivery for a platform modernization effort. Architect TypeScript, Java, PHP, and cloud systems; guide monolith decomposition, distributed services, databases, observability, security, and operational excellence. Mentor engineers, coordinate stakeholders, establish engineering standards, and lead responsible adoption of AI-assisted development across the organization.

Design and build scalable backend architecture for PSA Set Registry, including cloud-based services, APIs, databases, microservices, event-driven systems, and batch processing. Own features through design, implementation, testing, deployment, and production support. Collaborate with product and engineering teams, troubleshoot complex systems, improve applications and data models, contribute technical designs and documentation, and apply security and monitoring best practices.

Designs software architecture, develops and deploys production code, leads technical and code reviews, improves performance and scalability, maintains automated tests and CI/CD pipelines, collaborates across teams on releases, and mentors engineers. The role requires strong programming, database, API, Git, Agile, and software design experience, with preferred cloud, containerization, microservices, and federal contract experience.

Build and improve credit card transaction systems and fraud controls. Investigate declined authorizations, failed transactions, stuck holds, and fraudulent activity. Own Sardine rules, queues, scoring, monitoring, alerting, and automated mitigation. Query transaction data, investigate fraud cases, identify root causes, and create rules to prevent recurrence. Develop internal tools, dashboards, and scripts while partnering with Product, CX, Compliance, and external card and fraud vendors.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Design, build, and scale backend services, APIs, and workflow systems supporting healthcare claims identification and recovery. Integrate AI/ML models, legal datasets, and transactional data while developing fault-tolerant Temporal workflows. Maintain AWS infrastructure and secure deployment pipelines using Python, TypeScript, PostgreSQL, Redis, and related technologies. Collaborate with product, business, and data science teams to deliver reliable, secure, high-performance systems in a regulated startup environment.

Build, test, deploy, and maintain full-stack workforce management applications, integrations, cloud infrastructure, and CI/CD pipelines. Support UKG Pro WFM/Dimensions, GCP-hosted applications, data pipelines, and third-party integrations. Collaborate with agile teams and UKG support or engineering teams to troubleshoot production issues, improve software practices, and apply secure development and AI-assisted engineering tools.

Own full-stack product features from workflow discovery through design, implementation, deployment, and production operation. Build scalable healthcare workflow systems using TypeScript, PostgreSQL, REST APIs, and AWS. Drive architectural decisions, reusable frameworks, testing, observability, incident response, and safe rollouts. Collaborate with product, clinical, operations, platform, ML, and customer-facing teams while shaping technical direction across multiple product areas.

Designs, implements, tests, and operates Azure Data services in a highly secure, air-gapped environment. Writes maintainable code, participates in code reviews, builds test automation, supports live-site operations and on-call duties, and follows security/compliance practices including use of AI tools across the SDLC.

Designs, builds, and operates full-stack software, infrastructure, and AI-powered legal technology systems. Responsibilities include developing applications and integrations, managing cloud infrastructure and CI/CD, implementing observability and reliability practices, contributing to AI/LLM solutions, establishing frontend design systems, and collaborating with attorneys, data scientists, IT, and other stakeholders.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered solutions using LLMs, RAG pipelines, GenAI agents, vector databases, and AI orchestration frameworks. Responsibilities include frontend development, performance optimization, debugging, code reviews, data integrity, and collaboration with AI/ML teams. The role is remote and requires CST availability and high-speed wired internet.

Develop and maintain full-stack applications using React.js, Node.js, Java, AWS, MySQL, and DynamoDB. Build responsive frontend components, secure RESTful APIs, cloud-native services, and CI/CD deployments. Participate in Agile ceremonies, code reviews, troubleshooting, documentation, testing, and collaboration with product, design, QA, and DevOps teams. Use AI-assisted development tools for coding, testing, debugging, refactoring, and documentation.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Lead technical direction for Elastic’s core billing platform across cloud providers. Design and operate scalable billing systems, data pipelines, APIs, and PostgreSQL architecture. Improve reliability, observability, incident response, deployment, and CI/CD practices. Partner with SRE, Cloud Infrastructure, Product, Design, and Finance teams, guide architecture and roadmap decisions, review technical work, mentor engineers, and participate in on-call rotations.

Lead architecture and delivery for Beckett’s software modernization, including NestJS and TypeScript microservices, Java and PHP legacy migrations, full-stack platforms, databases, AWS infrastructure, and distributed systems. Establish engineering standards for security, testing, observability, and operations. Mentor engineers, coordinate multi-quarter projects, manage cross-system risks, and guide responsible adoption of AI coding tools and LLM technologies.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Design, build, deploy, and maintain resilient, scalable production systems for Toast’s retail customers. The role sets long-term technical architecture and strategy, communicates technical direction, mentors senior engineers, improves engineering productivity, diagnoses performance issues, and drives initiatives amid ambiguity. Engineers collaborate directly with retail customers, visit stores, understand operational workflows, and use AI tools to improve development velocity and quality.

Design, build, and deliver software features to drive customer impact, collaborate with teams, and improve development workflows.

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

Design and build reliable backend services and integrations for Coinbase’s Unified Merge Gate. Lead automated code review, policy evaluation, CI evidence, authorization, merge controls, repository migrations, safe rollouts, observability, and operational ownership. Partner with Security, Compliance, Infrastructure, and engineering teams to improve software review and deployment workflows while measuring merge quality, review volume, time-to-merge, and escaped defects.