Top Remote Staff Software Engineer Jobs in Los Angeles, CA

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Build and productionize agentic workflows, RAG pipelines, AI services, backend systems, and ML pipelines for sales automation. Integrate Salesforce, quoting engines, data lakes, and internal platforms using scalable, event-driven architectures. Lead 0-to-1 development of tools for account research, lead prioritization, and quoting while ensuring reliability, observability, performance, and resilience across the GTM technology stack.

Own and build Hercules’ billing, payments, subscriptions, usage-based billing, monetization, and commerce infrastructure. Integrate payment providers, support currencies and payment methods, and design reliable, low-latency systems with webhook processing, retries, reconciliation, and scalable usage metering. The role requires strong system design, architecture, data modeling, API design, code quality, product judgment, and proficiency with Hercules’ TypeScript-based stack, including React, Postgres, Redis, containers, and Temporal.

Lead development of Hercules's AI-focused platform-as-a-service, including its database-like object model, backend services, APIs, SDKs, hosting infrastructure, and distributed systems. Build reliable, scalable, multi-tenant services with strong isolation, observability, resilience, low latency, and high throughput. Apply advanced Rust, data systems, architecture, API design, performance optimization, and AI-assisted development skills.

Own growth across the customer journey, including landing-page conversion, activation, paid conversion, retention, expansion, and monetization. Build and optimize product experiences, run A/B experiments, analyze results with SQL, and identify high-impact revenue opportunities. Develop scalable software using TypeScript, React, Postgres, Redis, and related technologies while applying AI to accelerate engineering workflows.

Build and own full-stack features across Hercules’s AI agent, app builder, hosting infrastructure, SDK, platform, and internal AI coding harness. Design scalable systems, APIs, data models, and SaaS capabilities including billing, identity, analytics, and notifications. Write maintainable code in monorepos, ship customer-facing features independently, and work with TypeScript, React, Postgres, Redis, Temporal, cloud infrastructure, and AI development tools.

Build and own user-facing frontend interfaces across AI agents, app-building tools, mobile PWA experiences, and marketing pages. Responsibilities include frontend architecture, system design, data modeling, API design, maintaining high-quality monorepo code, independently shipping customer features, and delivering polished UX/UI. The role requires strong TypeScript and React expertise, familiarity with AI coding workflows, and ideally experience with containers, Postgres, and Redis.

Build and maintain scalable infrastructure for AI agents, app building, hosting, SDKs, and an enterprise platform. Design distributed, multi-tenant, data-intensive services; develop clean, maintainable code in monorepos; and independently ship customer-impacting changes. The role uses TypeScript, React, containers, Postgres, Redis, Temporal, and related cloud and AI technologies. Candidates should demonstrate strong system design, architecture, data modeling, API design, product sense, and advanced AI-assisted development skills.

Build and own user-facing features across Hercules’ AI Agent, App Builder, SDK, mobile app, and platform. Design scalable systems, APIs, data models, and high-quality code in a monorepo. Ship SaaS capabilities such as billing, analytics, feature flags, internationalization, and notifications. Apply strong product and UX judgment while working with TypeScript, React, Postgres, Redis, cloud infrastructure, and frontier AI coding tools.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

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.

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.

Lead technical strategy and architecture for a large-scale Content Platform that powers marketing campaigns. Solve ambiguous cross-team problems, design scalable backend and AI-driven systems, mentor senior engineers, and partner with product, design, and marketing to drive execution and engineering standards across the org.

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.

Leads end-to-end development of scalable software systems, including architecture, coding, debugging, testing, deployment, monitoring, and incident response. Drives API-first development, performance optimization, cloud-native applications, and modernization of legacy systems. Leads code reviews, establishes engineering standards, mentors junior engineers, collaborates cross-functionally, supports production systems, and participates in on-call rotations.

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.

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.