Top Remote Senior Level Software Engineer Jobs in Los Angeles, CA

Leads multiple software engineering teams and managers responsible for scaling B2B SaaS products. The role combines people management, technical leadership, recruiting, mentoring, performance development, and engineering culture improvement. Responsibilities include promoting software quality, automated testing, CI/CD, DevOps, Agile practices, and cross-functional collaboration with product, QA, security, sales, marketing, HR, and customer success teams.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Lead the Discovery Platform team, overseeing the development of scalable, high-performance systems for retrieval and ranking to enhance the user experience in Whatnot's live social marketplace.

Lead a compliance and risk engineering pillar to design, deliver, and operate regulatory automation, AI/ML, and risk-control platforms. Own roadmap, reliability, incident and defect management, stakeholder communication with Legal/Cyber/Compliance, and hiring and growth of software and quality engineering teams across global jurisdictions.

Design and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Develop and maintain iOS, Android, and web development platforms for the myQ connectivity program. Lead technical planning across scrum teams, translate product requirements into software designs, implement complex features, oversee releases, improve development processes, and enforce quality standards. The role mentors engineers, leads offshore teams, collaborates with product, architecture, DevOps, firmware, infrastructure, and QA teams, and contributes to architectural decisions, technical documentation, interviews, and continuous improvement.

Build and ship customer-facing products across backend services, APIs, data models, React web interfaces, and Android point-of-sale applications. Learn unfamiliar platforms quickly, collaborate with product and design, deliver resilient code, and own testing, instrumentation, on-call support, and cleanup. The role emphasizes 0-to-1 product development, customer-focused decision-making, rapid experimentation, and using AI tools to improve development velocity and quality.

Design, build, deploy, and support scalable Java microservices on AWS. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Work with high-throughput data, messaging systems, distributed architectures, observability, and AI-assisted development tools. Participate in on-call support, mentor engineers, lead architectural initiatives, and deliver reliable SaaS platform features.

Build production-grade tools, services, integrations, data pipelines, and automations that support sales and growth teams. Identify account signals, prioritize opportunities, connect Salesforce and external data systems, and improve customer acquisition workflows. Partner with Sales and Growth to translate business needs into scalable technical solutions, rapidly test experiments, and maintain reliable applications with strong architectural, security, and quality practices.

Build production-grade tools, services, automations, data pipelines, and integrations that support Sales and Growth. Identify account signals, prioritize opportunities, improve GTM workflows, and rapidly prototype experiments. Partner with sales and growth leaders to translate business needs into scalable technical solutions while maintaining strong architecture, security, reliability, and quality standards.

Develop low-level, high-performance instrumentation within CICS and z/OS using HLASM. Design production features for mission-critical mainframe environments, diagnose complex system behavior through dumps and traces, analyze performance bottlenecks, and collaborate with an experienced engineering team. The role requires deep z/OS and CICS internals expertise, systems programming knowledge, and proficiency with JCL, SDSF, and USS.