qualified - Lead Software Engineer (LMTS), Foundations
Requirements
• Experience: 7+ years of experience in professional software development with a strong emphasis on backend systems, cloud platforms, and infrastructure. • Languages: Proficiency in programming languages such as Go, Python, Typescript, or Ruby. • Cloud & Infrastructure: Deep experience architecting secure solutions on cloud-based infrastructure (e.g., AWS, Google Cloud, or Azure). • Infrastructure as Code (IaC): Proven experience in automated provisioning using tools like Terraform, CDK, CloudFormation, or Pulumi. • Containerization: Experience with automated deployments using container orchestration technologies such as Kubernetes, AWS ECS, or Docker. • Observability Tools: Strong hands-on experience with monitoring and logging tools such as DataDog, Prometheus, Grafana, or ELK. • Database Expertise: Familiarity with SQL, RDBMS (PostgreSQL preferred), and data warehousing solutions (e.g., ClickHouse) • AI-Assisted Development: Proficiency in AI-assisted software development (e.g., Claude, Cursor, etc.); you are capable of leveraging these tools to significantly accelerate your output from day one. • Education: B.S. or Master’s degree in Computer Science, or equivalent work experience.
Responsibilities
• Architect & Build: Lead the design and implementation of secure, fault-tolerant, and highly available cloud infrastructure on public cloud services. • System Optimization: Continuously improve system performance, identify bottlenecks, and deploy optimizations for smooth operation at scale for highly-trafficked services. • CI/CD Evolution: Lead the evolution of our Continuous Integration and Deployment pipelines in a multi-service environment, reducing complexity and increasing resilience. • Infrastructure Management: Plan and execute timely infrastructure upgrades and changes using infrastructure-as-code to enable faster execution, improved scale, and increased cost efficiency. • Observability: Leverage tools like DataDog, Sentry, and others to monitor system infrastructure, configure alerts for anomalies, and proactively ensure system health. • Documentation & Standards: Define, promote, and maintain runbooks, operating procedures, and system architecture diagrams. Uphold high standards of quality through rigorous testing and code reviews. • Mentorship: Act as a force multiplier by providing technical guidance, mentoring other engineers, and fostering a culture of engineering excellence. • Agility: Embrace a culture of flexibility and efficiency, moving fast to capture opportunities while wearing multiple hats in a startup environment
Benefits
• Foundational Impact: You'll be a key member of our product team, helping to shape the future of our platform by integrating cutting-edge AI technologies. • High-Growth Environment: Join us at a pivotal stage where you can establish best practices that will scale with our rapid growth and expansion. • Cutting-Edge AI: Work on unique challenges related to AI-driven products and help define the future of B2B applications. • Close Leadership Collaboration: Partner with leadership to ensure AI is integrated into our strategic decision-making. • Career Growth: Lead and grow as a key member of the product team with opportunities to build and manage a team as the company expands. • Applications will be accepted until June 1, 2026
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