Senior Staff Engineer - Payments & Integrations

Responsibilities

• Leading the design and evolution of large-scale, distributed systems and platform architectures to support long-term scalability, reliability, and extensibility across organizational boundaries.
• Leading the strategic adoption and application of AI-assisted development practices and AI-enabled system capabilities, identifying where AI creates meaningful organizational leverage and connecting those capabilities directly to engineering effectiveness, product innovation, and measurable business outcomes.
• Defining and guiding long-term technical strategy and architecture across organizational boundaries, aligning engineering direction with business objectives and product goals.
• Identifying high-impact technical opportunities and defining the problems that should be prioritized to maximize engineering and business outcomes.
• Partnering with engineering, product, and business leadership to shape technical priorities and guide roadmap decisions at the organizational level.
• Leading cross-team initiatives that span multiple systems or domains, ensuring successful delivery and long-term sustainability.
• Navigating highly ambiguous problem spaces, defining technical approaches, and driving clarity, alignment, and execution across teams.
• Influencing technical direction across teams by establishing alignment on architecture, design patterns, and engineering best practices.
• Identifying, communicating, and mitigating systemic technical risks across systems and organizational boundaries.
• Ensuring system health, reliability, and scalability by advancing observability, performance optimization, and operational maturity across systems.
• Defining the organizational strategy for reducing technical debt and modernizing existing systems, including establishing re-platforming roadmaps and driving adoption across teams and domains.
• Driving the development and adoption of platform capabilities, shared services, and tooling to improve developer productivity and system consistency.
• Acting as a force multiplier by mentoring senior and staff engineers and enabling teams to operate more effectively and independently.
• Advocating for continuous improvement by identifying systemic gaps and driving changes to architecture, processes, and engineering practices.
• Promoting a culture of engineering excellence by setting high standards for system design, code quality, and operational practices.
• Contributing to technical due diligence and evaluation of strategic initiatives and partnerships.

Requirements

• S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 10+ years of professional software engineering experience, with a demonstrated track record of defining and driving technical strategy across multiple teams or organizational domains.
• Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices.
• Proven experience building and maintaining third-party integration platforms that synchronize data across multiple external systems (accounting platforms, payment gateways, CRM systems).
• Understanding of payment processing workflows including Payment gateway integration, payment method lifecycle management.
• Familiarity with accounting system concepts like Invoice-to-cash workflow, chart of accounts, terms, tax calculations and compliance.
• Deep experience designing, building, and evolving large-scale, distributed systems and platform architectures at organizational scale.
• Strong hands-on experience designing, deploying, and operating production systems on public cloud platforms (AWS, GCP, or Azure), including practical knowledge of cloud-native services across compute, storage, networking, and managed data with a solid understanding of cloud architecture patterns, cost optimization, and security best practices.
• Strong understanding of system design trade-offs across scalability, reliability, performance, and cost, with the ability to define and communicate architectural direction at an organizational level.
• Proven ability to operate in highly ambiguous environments, define clear technical direction, and drive execution across teams and organizational boundaries without direct authority.
• Experience influencing and aligning senior engineers, staff engineers, and leadership across teams and domains.
• Experience identifying and mitigating systemic technical risks across systems, teams, and organizational boundaries.
• Deep experience with observability practices, including structured logging, metrics collection, distributed tracing, and alerting, with the ability to drive improvements in operational maturity across the organization.
• A forward-looking approach to AI-assisted development: able to define organizational strategy for AI adoption, evaluate where AI creates meaningful leverage at scale, and connect those capabilities directly to product quality, delivery speed, and business outcomes.
• Demonstrated ability to improve engineering productivity through platform, tooling, or process improvements at organizational scale.
• Experience contributing to technical due diligence and the evaluation of strategic initiatives, architectural investments, and external partnerships.
• Strong communication skills with the ability to convey complex technical concepts to diverse audiences, including executive and business stakeholders.

Technology & Tools

• Experience with full stack and API development across both frontend and backend layers.
• Proficiency in one or more of the following programming languages: Rust, C#, and JavaScript.
• Proficient with modern authentication and authorization mechanisms (e.g., OAuth 2.0, OIDC, SAML).
• Experience maintaining and operating large-scale production systems and services, including driving systemic improvements to incident response, post-mortem processes, and long-term reliability.
• Extensive experience with distributed and microservices-based architectures.
• Experience with containerization and container orchestration (e.g., Docker, Kubernetes).
• Deep experience with cloud-native infrastructure patterns, including serverless architectures, managed Kubernetes services, infrastructure-as-code tooling (e.g., Terraform, Pulumi, or Bicep), and cost-aware resource design at organizational scale.
• Experience leading and evolving the implementation of modern security patterns and practices, including secure coding standards, threat modeling, vulnerability remediation, and security architecture across systems.
• Broad and deep knowledge of architectural styles and design patterns.
• Experience with CI/CD systems and modern software delivery practices, including automated testing gates, progressive deployment strategies, and platform-level delivery improvements.
• Deep familiarity with relational and non-relational data stores and the architectural considerations that inform design decisions at platform scale.
• Deep experience with observability, monitoring, and reliability engineering practices, with a track record of driving operational excellence across systems and teams.