Software Engineer

Company

Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating global tax reporting for the digital economy. Taxbit's AI-enabled platform streamlines compliance related to digital assets, payments, and other financial transactions. Its unique combination of deep subject matter expertise and AI-forward technology have made it a fast-growing disruptor trusted by the world's leading fintechs, marketplaces, digital asset players, Big 4 accounting firms, traditional enterprises, and government agencies. Backed by top-tier Silicon Valley VCs, Taxbit's team is located across offices in San Francisco, New York, Seattle, Salt Lake City, London, Madrid, and Singapore.

Opportunity for Impact

TaxBit is looking for a Staff Software Engineer to join our Systems, Security & Compliance organization and take ownership of the cloud infrastructure that powers our platform. In this role, you will be a technical leader for our AWS environment, driving the architecture, automation, and operational excellence of systems that our customers and internal teams depend on. You will also help shape and drive our AI (Dev)Ops strategy, defining how we deploy, monitor, and operate AI-enabled systems responsibly and at scale. You will have broad influence over how we build, deploy, secure, and monitor infrastructure at scale, partnering closely with engineering, security, and compliance stakeholders to raise the bar on reliability, security, and developer velocity across the company.

Role and Responsibilities

• Design, build, and operate secure, highly available cloud infrastructure on AWS supporting TaxBit's platform and products
• Own infrastructure-as-code using AWS CDK (preferred) or Terraform, driving consistency, repeatability, and version control across environments
• Build, maintain, and continuously improve CI/CD pipelines (GitHub/GitHub Actions) to enable safe, frequent, and reliable deployments
• Define and implement TaxBit's backup and disaster recovery strategy across cloud data stores and critical systems
• Architect and evolve data storage and processing patterns that support scalability, reliability, and cost efficiency
• Implement and maintain centralized logging, monitoring, and observability across services and infrastructure
• Implement and maintain security guardrails integrated throughout the development lifecycle
• Build workflow automation that reduces manual toil in infrastructure provisioning, deployments, and operations
• Debug and resolve complex issues across distributed, cloud-native systems, driving root-cause analysis and durable fixes
• Implement AI Ops/AI DevOps practices to deploy, monitor, and operate AI-enabled systems and pipelines in production