Top Remote Engineering Jobs

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

Build and own foundational Android platform infrastructure, shared libraries, frameworks, architecture, observability, performance tooling, and developer experience systems. Lead AI-native engineering practices, evaluate AI development tools, drive cross-organizational technical initiatives, mentor engineers, and establish scalable Android standards. Collaborate across mobile, web, backend, product, design, and leadership teams to improve engineering velocity and customer experiences.

Build and own foundational Android platform infrastructure, shared libraries, frameworks, architecture, observability, and performance tooling used across Cash App. Lead cross-organizational technical initiatives, promote AI-native engineering practices, evaluate AI development tools, mentor engineers, and collaborate across Android, iOS, web, backend, product, and design teams.

Design and build Alloy’s go-to-market technology architecture, including CRM integrations, iPaaS automations, data pipelines, and workflow improvements. Develop SQL, Python, and JavaScript scripts for data manipulation and automation; monitor data quality and system performance; support reporting and BI dashboards; troubleshoot integration issues; and advise on GTM technology, vendors, and build-versus-buy decisions. Partner with RevOps, Sales, Marketing, Customer Success, IT, and leadership to translate business needs into scalable technical solutions.

Leads automation engineering for NBCUniversal’s data collaboration platform. Designs AI agents, RAG workflows, reusable tools, APIs, and production-grade Python services supporting audience activation, measurement, and reporting. Establishes agent evaluation, monitoring, reliability, testing, and safety standards. Oversees clean room libraries and scalable data workflows while partnering across product, engineering, operations, and data platform teams. Hires, mentors, and develops software and AI engineers and drives technical direction, maintainability, and operational excellence.

Lead enterprise-scale service mesh implementation across AWS EKS clusters and hundreds of microservices. Establish Kubernetes standards, operate production infrastructure, improve GitOps and CI/CD automation, support PCI DSS compliance, mentor engineers, and drive reliability, observability, capacity planning, incident response, and global platform architecture for a 24/7 SaaS environment.

Designs and implements complex enterprise network solutions, supports customer pilots and sales, provides Tier IV escalation support, troubleshoots network issues, develops capacity models, evaluates hardware and software, maintains technical documentation and procedures, and conducts security audits. Leads and mentors network engineers, presents technical information, participates in an on-call rotation, and supports customer professional services projects. The role requires independent judgment, occasional travel, and variable night or weekend work.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

The Cloud Native Specialist acts as a technical expert on Kubernetes and multi-cloud strategies, leading POCs, integrating Dynatrace into CI/CD practices, and advocating for cloud-native observability solutions.