Senior Staff Software Engineer - Cloud Platform

🏢 Lytx · all Lytx jobs
📍 United States
💰 USD 183,500 - 232,500 / annual
📅 Posted 2026-07-18 · via Himalayas
🏷 Cloud-Platform-Engineering,Backend-Development,Fullstack-Development,Cloud-Architecture,Senior-Cloud-Platform-Engineer,Software-Engineer,Senior-Cloud-Software-Engineer,Senior-Cloud-Software-Architect,Senior-Cloud-Data-Platform-Engineer,Senior-Cloud-Systems-Engineer,Senior-Cloud-Engineer,Senior-Cloud-Infrastructure-Engineer
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About the Role

Lytx is building the future of its products on a scalable, cloud-first platform, fusing large-scale AWS infrastructure with the hardware that powers our in-vehicle gateways and smart cameras, plus the AI and fleet services layered on top. We're assembling a small, elite team of senior technical operators to own this platform end-to-end and define where Lytx goes next.

We're looking for a Senior Staff Software Engineer with deep technical mastery and sharp architectural judgment to join as a core member. This is not a management role, and there's no hierarchy: every member operates with full autonomy — architecting solutions, writing production code, making high-stakes calls, and shipping at pace. You'll own problems end-to-end, from system design and backend services through infrastructure, frontend, and mobile, with direct accountability for production outcomes.

Key Responsibilities

- Architect, design, and build scalable, production-grade backend services running in AWS making critical technical decisions on system design, data modeling, and service boundaries with minimal oversight.

- Define and drive the technical direction of the cloud platform, including service architecture, infrastructure patterns, and operational standards that the team adopts.

- Develop and maintain services using Node.js and other backend technologies, with full ownership from design through deployment and production support.

- Leverage AI tools (e.g., Claude Code) as force multipliers in the development workflow.

- Design and implement infrastructure-as-code using AWS CDK, owning the full infrastructure lifecycle.

- Work with PostgreSQL at depth, including schema design, query performance optimization, and data architecture decisions.

- Build and maintain frontend applications using React & MUI and contribute to mobile applications built with React Native for Android and iOS.

- Develop software components across multiple languages: JavaScript/Node.js, Python, Rust, and C/C++, choosing the right tool for the problem.

- Set and uphold engineering standards for code quality, testing, reliability, and security, leading by example rather than by mandate.

- Evaluate emerging technologies, prototype solutions, and make build-vs-buy recommendations that shape the platform’s technical roadmap.

- Operate as a full peer within a flat, high-trust team, participating in architectural discussions, code reviews, and production incident response with shared accountability.

Required Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, or equivalent depth of practical experience.

- 12+ years of software engineering experience building and operating cloud-based distributed systems at scale.

- Deep expertise with Node.js, React, and MUI in production environments.

- Proven mastery of distributed systems, microservices architecture, and cloud-native design patterns.

- Deep knowledge of AWS services and hands-on experience writing, testing, and maintaining AWS CDK scripts.

- Expertise in IP networking, including TCP/IP and related protocols.

- Demonstrated ability to operate across the full stack, backend, frontend, infrastructure, and deployment at a high level of proficiency in each.

- Track record of making sound architectural decisions independently and influencing technical direction beyond your immediate deliverables.

- Strong problem-solving skills with the ability to navigate ambiguity, make trade-offs, and deliver under time pressure.

- Effective communication skills, able to articulate architectural vision, defend technical trade-offs, and align with peers on approach.

Preferred Experience

- Large-scale, production cloud platforms serving high-volume, real-time workloads.

- IoT, device-integrated, or data-intensive systems.

- CI/CD pipelines, automated deployments, and infrastructure automation.

- Performance tuning, observability, and operational excellence in cloud environments.

- Pri

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