Vacancy details
This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.
- Status
- Active
- Date posted
- 2026-10-12
- Open until
- 2027-01-10
- Employment type
- Full-time
- Source-listed languages
- Not specified
- Language requirement
- No mandatory language inferred
- Work arrangement
- Hybrid
- Physical workplaces
- San Francisco, United States
- Applicant eligibility
- Applicant geography not specified
- Market focus
- United States financial institutions
Overview
Take technical ownership of the platform connecting payment services to US financial institutions through native integrations. This staff engineering role covers connector automation and the shared execution infrastructure beneath it. The remit includes architecture, production reliability and the direction of a mature system that must remain dependable while its ownership and capabilities evolve.
Requirements
- Candidates typically bring ten or more years of production engineering, including staff-level ownership.
- Financial-system experience, distributed-systems depth, Java or a comparable language, and management of large external integration fleets are required.
- Daily, considered use of AI coding tools is expected.
Responsibilities
- Learn the existing codebase and document interfaces, design decisions and operational procedures.
- Improve the tooling used to create and maintain connectors, alongside shared services such as headless execution, proxying and caching.
- Coordinate knowledge transfer with engineers working across regions and establish clear boundaries between the platform's components.
- Operate the services you own, including on-call response, service-level commitments and investigation of failures.
- Direct AI-assisted implementation, review generated work and own integration testing.
- Improve observability and use production evidence to guide changes.
- Help recruit and shape the team that will share responsibility for the domain.
Conditions
- This full-time hybrid role is in San Francisco, with office attendance Tuesday through Thursday.
Tech stack
- Java or comparable backend language
- Distributed systems
- AI coding tools
