Top Remote Software Engineer Jobs in St. Louis, MO

Lead the design and development of Pinecone's API and interfaces for AI agents, focusing on automation and observability while collaborating with cross-functional teams.

Serve as an embedded Linux expert on customer projects: design and refactor real-time architectures, develop Linux kernel drivers, debug low-level hardware/software issues, optimize kernel performance, collaborate with customers and internal teams, lead technical efforts, produce high-quality deliverables, and create technical proposals to support product lifecycle and certification.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

We are seeking a Junior Software Engineer for our Consumer Team to develop scalable software, focusing on both backend and frontend tasks while participating in the full software development lifecycle.

Design and implement scalable web applications while raising engineering innovation standards. Communicate technical solutions to diverse stakeholders and collaborate with teams to deliver products.

Define and drive full-stack architecture and technical vision across teams, write high-quality production code, lead zero-to-one projects, productionize ML systems, own reliability and SLOs, mentor senior engineers, and align engineering roadmaps with product and company strategy.

As a Junior Software Engineer, you'll develop applications in a team, gaining training in Java and other technologies, and you'll have opportunities to work with clients in various industries.

As a Junior Software Engineer, you will build applications, work in teams, and receive training in software development, focusing on Java and other languages.

As a Senior SDET, you will enhance testing practices, improve CI pipelines, mentor engineers, and ensure platform reliability through comprehensive testing strategies.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.

The Staff Software Engineer will lead the architecture and development of a real-time content platform, working on both backend and frontend systems while mentoring team members and collaborating with product and design teams.

Build and evolve Nexus interfaces for Temporal SDKs across multiple languages. Design and implement runtime APIs and behaviors, integrate SDKs tightly with language runtimes for durable, deterministic execution, collaborate with OSS community, write technical documentation, and own end-to-end features with high reliability.

As a Senior Software Engineer, design, build, and maintain backend functionality for scalable multi-tenant services focused on data storage and retrieval. Lead technical initiatives, collaborate across teams, and ensure system reliability and performance.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

Design, build, and optimize edge data-collection agents for Windows, Linux, and Mac. Collaborate with product, UX, and engineering to deliver backend features, own development lifecycle, create automated tests, support SaaS products, and participate in 24x7 on-call rotations.

Build and lead development of a customer-facing metric store for high-volume telemetry. Design scalable backend services, data models, ingestion pipelines, and query execution paths. Optimize query performance, storage efficiency, and system reliability. Collaborate with Product, Design, and Operations from architecture through production, mentor junior engineers, participate in on-call rotation, and help define testing, deployment, and operational practices.

Design, build, and operate high-scale Customer Care and Identity systems using React, TypeScript, Java/Node.js. Lead AI-first workflows, own end-to-end full-stack features, implement AI-driven efficiencies, ensure security and reliability, mentor peers, and collaborate cross-functionally on integrations and operational excellence.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

The Senior Software Engineer will enhance Attentive's event streaming platform, architect high-throughput systems, improve tools for product teams, and tackle complex distributed challenges. Responsibilities include collaborating on messaging systems and modernizing the architecture.

Lead technical strategy and hands-on development of HubSpot's build, test, and deploy platform. Design scalable CI/CD, test orchestration, and AI-powered QA agents, drive architectural decisions, remove pipeline bottlenecks, and deliver cross-team initiatives that increase deployment velocity and reliability for thousands of engineers.

Backend-leaning full-stack engineer to build, maintain, and scale CueBox's Golang/Protobuf/Postgres backend and React/Next.js frontend. Pioneer new product areas, improve performance and payments, contribute to architecture and engineering culture, and support Python data pipelines on GCP.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.