Top Remote Staff Software Engineer Jobs

The Principal Software Engineer will provide architectural guidance, mentor developers, manage risks, and ensure high-quality software production across various teams and product areas.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

As a Staff Software Engineer, you will lead product development from design through deployment, collaborating on software for delivery operations including backend services and user products.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

Lead design and implementation of a production inference platform for LLMs. Define roadmap, integrate and optimize inference runtimes, manage GPU infrastructure, and build systems for deployment, autoscaling, observability, and operational excellence. Benchmark models/runtimes, partner with ML and product teams, make architectural tradeoffs, and mentor engineers to scale AI infrastructure.

As a Staff Backend Engineer at FloSports, you'll lead backend development initiatives, focusing on scalable distributed systems, authentication frameworks, and mentoring engineers while collaborating with product teams for technical solutions.

The Staff Software Engineer will build products using TypeScript, React, and Node, influence product direction, leverage AI, and collaborate on data modeling while supporting a flexible remote culture.

Lead architecture and design of full-stack, cross-pod systems; set engineering standards for quality, security, performance, and observability; mentor and grow engineers; partner with Product and Partners on technical strategy; own incident response and reliability; participate in on-call rotation and hiring/onboarding.

Lead design and implementation of identity resolution and data governance systems. Build batch and streaming pipelines, APIs, and services to ingest, normalize, link, and version identity data. Ensure auditable matching, data lineage, quality checks, schema enforcement, access controls, and privacy-by-design. Collaborate cross-functionally with product, analytics, legal, privacy, and security teams and create documentation, monitoring, and runbooks.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

Design, build, and maintain cloud-first, highly available infrastructure and tooling for Cribl's telemetry platform. Drive automation, reliability, scalability, and API-driven solutions across distributed SaaS systems, and participate in on-call and operational duties.

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.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

Lead the creation of an AI-powered software generation platform, partner with AI and infrastructure teams, and define success metrics to enhance developer experience.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.

Design, build, and maintain scalable, secure cloud infrastructure and SRE practices. Implement IaC, Kubernetes/Helm deployments, CI/CD pipelines, monitoring/observability, automation, security/compliance, capacity planning, and mentor junior engineers to ensure reliability and performance.

Design and scale observability infrastructure (metrics, logs, traces), build high-performance data pipelines and storage, define product roadmap for observability, establish standards and instrumentation patterns, mentor engineers, lead architecture and cross-functional collaboration, and evaluate/adopt new observability tools and ML-driven anomaly detection.

Lead design and operation of identity resolution and data governance systems. Build batch and streaming pipelines, APIs, and tooling for identity ingestion, matching, lineage, quality, access controls, and privacy compliance (GDPR/CCPA). Collaborate with product, analytics, legal, and security to ensure privacy-by-design, monitoring, and documented runbooks.

Lead architecture and delivery of the measurement platform for ads lift and brand studies. Design and operate large-scale batch and streaming data pipelines, services, and APIs; operationalize measurement methodology with Data Science; build automated validation, monitoring, anomaly detection, and continuous verification; drive AI enablement and mentor engineers while leading cross-functional initiatives to improve reliability and data quality.

Lead design and implementation of performance marketing backend systems: ad integrations, event pipelines, attribution and measurement, bidding and budget optimization, reliability for spend-critical systems, cross-team coordination, and mentoring engineers. Drive measurement methodology, privacy-resilient approaches, and use of AI to accelerate work.

Lead backend architecture and implementation of a GenAI-powered Conversion Health agent: design services, data flows, retrieval layers, and AI-consumable measurement signals. Improve agent reliability, evaluation, and safety; integrate with downstream ads products and tools; partner cross-functionally to translate measurement pain points into actionable agent skills and demonstrate measurable ad performance impact.

Lead design and implementation of Pinterest's exabyte-scale data lake storage and metadata systems. Drive architecture and execution for scalable storage features supporting large ML/AI workloads, collaborate across data/ML/infrastructure teams, and contribute to open-source projects (Iceberg, Spark, Flink).

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 design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

As a Staff Software Engineer, you will lead the technical vision for DataRobot's Fleet team, mentoring engineers and architecting scalable infrastructure using Kubernetes for multi-cloud environments.