• Working under our professional services division. • Be an embedded Linux expert in the customer engineering team and enable customers in doing their embedded SW development. • Design, develop, and refactor real-time software architectures and modular software components. • Reproduce, isolate and debug complex low-level problems that may span interfaces between hardware and software. • Collaborate with the customer and internal teams to always enhance the overall project experience. • Contribute to the overall product design to help customers through various aspects of their product lifecycle. • Working closely with the team to ensure the project deadlines are met and risks/issues are proactively identified and communicated to the customer. • Ensure high quality of our deliverables. • Developing technical proposals to help customers make technical decisions.

• Lead a small, high-velocity engineering team while staying hands-on with production code. • Design, build, and launch AI-powered product features quickly and iterate based on customer usage. • Partner closely with Product, Design, and GTM to deliver features that solve real customer problems. • Translate AI capabilities into intuitive, production-ready experiences. • Make fast, pragmatic technical decisions that keep momentum high. • Balance speed with reliability, scalability, and long-term maintainability. • Establish lightweight engineering practices that support frequent releases. • Mentor and coach engineers through code reviews, pairing, and design discussions.

• Design and implement scalable solutions within our Kubernetes-based platform for secure enterprise workloads. • Define and contribute to reliability initiatives: SLOs, capacity planning, and resilience improvements. • Identify and resolve system misconfigurations and architectural risks. • Build systems that support 10x customer growth with clear failure modes and mitigation strategies. • Own and continuously improve internal platform systems: deployments, environments, and developer tooling. • Drive improvements to reliability, observability, and operational workflows. • Act as a force multiplier for product engineers by building guardrails (not gates) and self-serve tooling. • Bring structure and rigor to complex infrastructure problems. • Contribute to internal engineering standards and design principles. • Work cross-functionally with engineering, product, and leadership to unblock and accelerate delivery.

• Design and develop responsive web applications using React.js and modern JavaScript/TypeScript • Build robust backend services and APIs using Node.js and TypeScript • Implement and maintain AWS cloud infrastructure and services • Collaborate with cross-functional teams to translate business requirements into technical solutions • Participate in code reviews, testing, and deployment processes • Contribute to architectural decisions and technical strategy • Ensure application performance, security, and scalability