Senior Fullstack Engineer, Customer Context

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take charge of systems and product domains, establishing yourself as the primary technical authority.

• Research, design, and implement solutions within distributed systems.

• Design, develop, and sustain highly available and scalable REST APIs and backend services.

• Propel system decoupling, modularization, and the reduction of technical debt.

• Operate autonomously by leveraging concurrent agent workflows and take responsibility for the outcomes.

• Stay updated with the latest AI tools and practices, sharing insights and techniques with the team.

• Contribute to defining the integration of AI within engineering systems and workflows.

• Collaborate with product, data, and go-to-market teams in an asynchronous-first environment.

• Identify and mitigate single points of failure while enhancing system resilience and knowledge redundancy.

• Enhance engineering workflows through improved tools and internal utilities.

⛳️ Requirements

• Over 6 years of experience in building large-scale, data-intensive backend systems and APIs.

• Daily, active engagement with AI coding tools such as Claude Code, Codex, Cursor, Copilot, or similar platforms.

• Proficient in some or all of the following: Python, Go, Rust, React, and TypeScript.

• Close monitoring of the AI tooling landscape, including model releases, agentic workflows, and best practices.

• Ability to critically assess AI outputs, recognize risks, and validate results.

• Capability to quickly switch contexts among multiple concurrent workstreams.

• Experience with 0-to-1 projects and navigating complex existing systems.

• Working knowledge of event-driven distributed systems and Kafka.

• Familiarity with distributed data processing technologies like Flink or Spark.

• Proven track record of scaling systems under production customer load, ideally up to multi-terabyte levels.

• Experience in designing high-scale systems on AWS, utilizing RDBMS, OLAP, NoSQL, and various database technologies.

• Understanding of relational data modeling, indexing strategies, and efficient SQL for both transactional and analytical workloads.

• Experience with infrastructure as code tools such as Terraform.

• Familiarity with building and monitoring applications on AWS and Kubernetes, preferably with observability tools like Datadog or Signoz.

• Strong, clear communication skills and proactive information sharing within cross-functional and asynchronous teams.

• Excellent technical judgment regarding trade-offs, guided by engineering best practices and business priorities.

🏝️ Benefits

• Significant equity opportunities.

• High-growth startup environment with the potential for direct impact on the company and personal career advancement.

• Flexibility to work from home or anywhere in the US/Canada.

• Competitive salary with equity potential.

• Flexible paid time off policy.

• Comprehensive health, dental, and vision insurance.