Senior Software Engineer

Accountabilities: You will take ownership of designing, building, and scaling core platform systems while helping establish effective AI-native engineering practices across the team. Your main responsibilities will include: Design and develop reliable, scalable systems capable of processing large volumes of customer warehouse data. Use AI coding tools and agents effectively by creating clear specifications and context, managing parallel workstreams, and critically reviewing generated code. Develop shared AI workflows, guardrails, and review standards to improve engineering productivity and maintain software quality. Evaluate emerging AI tools and models, identify valuable solutions, and share recommendations with the engineering team. Write clear architecture and technical documentation explaining system designs, trade-offs, and implementation decisions. Understand customer needs and translate business problems into valuable product features. Mentor other engineers and help them adopt effective practices when working with AI coding tools. Contribute to technical decisions that balance delivery speed, system reliability, data integrity, and long-term maintainability. Requirements The ideal candidate is an experienced software engineer with strong architectural judgment, hands-on experience using AI coding agents, and the ability to thrive in an early-stage startup environment. Required qualifications include: At least 5 years of software engineering experience, including experience at an early-stage startup from Seed through Series B. Deep experience with AI coding agents, including practical examples of scaling their use across an engineering team. Strong judgment when evaluating AI-generated output, with the ability to identify incorrect, incomplete, or risky implementations, particularly when handling customer data. Proven experience scaling production systems as customer numbers, workloads, and data volumes increase. Strong software architecture skills and experience making sound technical design decisions. Ability to balance speed and simplicity with the need for reliability, data integrity, and robust architecture. Proficiency in at least one of the following programming languages: Java, Python, Go, or JavaScript/TypeScript. Strong SQL skills. Experience with cloud platforms, containers, and automated deployment pipelines. Clear and collaborative communication skills, particularly in technical writing and explaining complex decisions. Persistence, adaptability, and a constructive approach when resolving technical challenges or responding to changing priorities. Additional qualifications considered a plus include: Experience with cloud data platforms, particularly Snowflake or Databricks. Experience with Angular. Experience building AI agents, agent tooling, or Model Context Protocol (MCP) servers. Knowledge of query optimization, machine learning, or algorithm development. Benefits Annual base salary of $170,000–$200,000 USD for U.S.-based candidates. Equity opportunities. Medical, dental, and vision insurance. 401(k) retirement program. Home office stipend. Paid time off. Paid parental leave. Access to the latest AI tools and freedom to experiment with new technologies. Opportunity to work alongside experienced researchers and engineers in machine learning to transform AI algorithms into scalable, automated cloud products. Fully remote work arrangement for candidates residing in the United States. Core working hours aligned with U.S. Eastern Time.