Top Remote Staff Software Engineer Jobs

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.

Own and evolve billing infrastructure for usage metering, payments, credits, subscriptions, pricing, reconciliation, and fraud prevention. Build reliable distributed systems using Go, PostgreSQL, Redis, Temporal, Stripe, and Metronome. Improve billing workflows, recovery from partial failures, spend controls, and operator tooling while partnering with Product, Finance, Support, and frontend teams. Lead projects from design through production operation and ensure accurate, dependable customer charges.

Provides technical leadership for identity, authentication, authorization, and account capabilities. Designs multi-service architectures, APIs, data models, migration strategies, and event-driven services. Leads cross-team initiatives, improves testing, observability, deployment safety, and reliability, and mentors engineers. The role addresses security-sensitive systems involving OAuth/OIDC, JWTs, RBAC, ReBAC, account identity workflows, partner integrations, and legacy modernization while applying AI tools responsibly.

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.

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.

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.

Own and evolve AWS infrastructure for Docker’s billing platform, including Terraform-based IaC, compute, storage, networking, CI/CD, observability, deployment safety, and incident response. The role drives infrastructure standards, reliability improvements, security practices, rollback procedures, and AI-assisted operations while partnering with software engineers and mentoring teammates. Participation in an on-call rotation is required.

Staff Software Engineer responsible for designing, developing, and scaling Nodal, a SaaS platform for P&C claims. The role builds React/TypeScript front ends, Django and REST back ends, SQL databases, integrations, automated tests, and CI/CD pipelines. Responsibilities include architecture, secure handling of sensitive data, AI and data-science integration, asynchronous workflows, code reviews, deployment support, and cross-functional collaboration with data scientists, actuaries, engineers, and claims experts.

Lead modernization of high-throughput cybersecurity detection engines and event pipelines in Go. Own distributed-system reliability, observability, liveness monitoring, load management, schema standards, drift detection, migration validation, and safe cutovers. Provide hands-on technical leadership across teams, set platform direction, write and review production code, and support Sigma-based detection capabilities. Collaborate across a broad stack including Kafka, Temporal, Redis, ClickHouse, Elasticsearch, Kubernetes, cloud platforms, and Ruby on Rails.

Leads technical vision and strategy for Affirm’s Marketplace, Search, Ads Platform, and consumer experiences. Designs scalable full-stack platforms, guides architecture and technical excellence, coordinates initiatives across engineering teams, mentors engineers, and drives reliable delivery of customer-focused products across iOS, Android, and Web.

Design and develop a high-performance, multi-tenant ML training platform for autonomous vehicle systems. Responsibilities include building orchestration, control plane, observability, data and model pipelines, performance optimization, profiling tools, and scalable infrastructure. The role provides technical direction, collaborates across ML, infrastructure, autonomy, and safety teams, and promotes engineering excellence and reusable tooling for machine learning engineers.

Lead architecture and strategic direction for Pinterest's data warehouse, analytics tools, and data governance. Drive cross-functional initiatives to build scalable data platforms, AI-assisted pipeline tooling, and analytics capabilities. Mentor engineers, define policies and tooling, and deliver measurable adoption and business impact across the company.

Lead the technical vision, architecture, and implementation of the Data Ocean platform, building high-performance distributed storage capabilities across object, file, and block storage. Develop production C/C++ systems for caching, namespaces, tiering, replication, metadata, and data mobility. Drive architecture reviews, performance optimization, testing, and operational excellence while mentoring engineers and coordinating technical execution across global Engineering, Product, Architecture, cloud, and DevOps teams.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Lead end-to-end development of scalable product features, backend services, APIs, and frontend experiences. Architect reliable and observable systems, operate production software, collaborate cross-functionally, participate in code reviews, improve engineering processes, and shape technical strategy and culture. Use AI-first development workflows with strong judgment around verification, testing, and safety. The role emphasizes ownership, product sense, technical depth, operational excellence, and cross-functional communication.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Set technical direction for Root’s AI platform, including infrastructure, tooling, shared services, governance, reliability, security, observability, and cost management. Lead cross-team initiatives, guide AI and LLM architecture decisions, establish operating standards, shape technical roadmaps, resolve complex tradeoffs, and mentor engineers and technical leaders across the organization.

Set technical vision for Pinterest’s Product ML Infrastructure, leading distributed model training, fine-tuning, evaluation, and high-scale CPU/GPU inference. Improve GPU efficiency, data loading, execution, kernels, memory, compilation, quantization, scheduling, and capacity. Build reliable, observable training and serving platforms, drive architecture decisions and migrations, partner with AI/ML teams, mentor senior engineers, and establish operational standards across the organization.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Lead the technical direction of Attentive’s compute and networking platform. Build reusable AWS infrastructure, Kubernetes systems, APIs, and self-service tools while improving reliability, scalability, cost efficiency, security, and developer productivity. Own complex cross-team initiatives from design through production, diagnose sophisticated infrastructure issues, improve CI/CD and observability, mentor engineers, and establish effective AI-assisted development practices.

Lead architecture and development of scalable software solutions for the Seller Platform. Collaborate with product and business stakeholders, conduct code reviews, mentor engineers, research emerging technologies, and solve complex technical challenges. The role requires strong Java and Ruby experience, distributed systems expertise, software architecture knowledge, and proficiency with modern AI coding tools.