Financial Connections TechOps Integration Reliability Engineer

at Stripe

📍 Toronto, Canada

CAD 119,700-179,500 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Agentic Systems Communication @ 6 Compliance Data Analysis @ 5 Debugging @ 6 Git @ 3 LLM @ 3 Observability Presto @ 5 SQL @ 6 Splunk @ 5

Details

Stripe's Financial Connections group builds technology that enables individuals and businesses to securely share financial data and improve product experiences. Technical Operations roles sit at the intersection of product and platform engineering, financial partners, and AI systems, helping maintain reliable open banking integrations at scale.

Responsibilities

Operate, Maintain, and Expand Banking Integrations

Become a domain expert in open banking, financial data access, data aggregation, partner systems, and failure modes.
Own integration health end to end by triaging degradations, diagnosing root causes, coordinating with financial partners, and driving urgent resolution.
Handle technical inquiries from internal Stripe teams and external partners through deep investigation and targeted code or configuration changes.
Build and launch new financial partner integrations using agentic tooling.
Conduct complex data analysis to investigate product performance, scope partner requirements, and identify reliability insights.

Build Agentic Systems and Automation

Design, build, and ship LLM-powered agentic workflows to streamline and automate high-volume operational tasks.
Act as a human-in-the-loop reviewer for automated processes involving meaningful risk, applying domain expertise where automation is insufficient.
Identify inefficient or manual processes and eliminate them through AI-powered automation, code changes, or complex process improvements.

Partner and Scale

Serve as a technical point of contact for financial partners by troubleshooting issues, aligning on product usage, and managing relationships through clear communication.
Provide authoritative technical context to product, partnerships, compliance, and legal teams.
Design and improve anomaly detection systems and observability tooling to ensure data flowing through partner and internal systems is reliable and correct.

Requirements

Minimum Requirements

Strong technical problem-solving skills and the ability to understand complex systems by reading and writing code, studying documentation and partner specifications, using debugging tools, reading logs, querying raw data, and consulting domain experts.
Experience building with AI and LLM tooling with clear outcomes, along with the ability to learn new tools quickly and determine where automation adds value versus where human judgment is required.
Strong SQL skills and proficiency navigating a variety of data systems to diagnose and scope issues.
Comfort with developer tools such as Git and the ability to make well-scoped code changes in a large codebase.
Strong written and verbal communication skills for technical and non-technical audiences.
An instinct for building solutions that increase the leverage of others and eliminate entire classes of problems.

Preferred Qualifications

Knowledge of payment technologies, open banking, and financial data ecosystems.
Experience designing or operating agentic or LLM-powered workflows in a production environment.
Proficiency with Presto, Splunk, or similar data-querying and log-analysis tools.
Experience managing technical relationships with external partners or vendors.