About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

Mecka operates globally, moving money across currencies, entities, payment providers, and banking rails. As we scale, we are building the infrastructure to automate how payments, payouts, revenue, and financial data move through the company. In this role, you will build and own Mecka's payments and revenue infrastructure, including global payouts, payment orchestration, provider integrations, reconciliation, invoicing, revenue recognition, and internal finance tooling.

Design, build, and operate backend systems that schedule, validate, route, send, and track global payments and payouts across multiple providers, currencies, and banking rails. Build and maintain integrations with payment platforms, banks, payroll providers, and financial systems, handling APIs, webhooks, rate limits, retries, settlement, and failure modes.

Reconciliation: Automate reconciliation across payouts, invoices, operational records, bank transactions, and accounting systems, ensuring every movement of money is traceable and discrepancies surface quickly. Build systems supporting invoicing, billing, collections, payment tracking, and revenue reconciliation, creating reliable connections between operational and financial data. Partner with finance to translate contract terms, delivery milestones, usage data,



and billing events into automated revenue recognition workflows, including unbilled revenue, deferred revenue, accruals, and accounting-system entries.

Computer science: Strong computer science fundamentals with a degree in Computer Science, Software Engineering, Computer Engineering, or a similarly rigorous technical discipline strongly preferred.

Backend engineering: Strong experience building production backend and distributed systems where correctness, reliability, and data integrity are critical. Strong programming experience building and managing high-concurrency, complex business systems and services.

Programming languages: Proficiency in at least one backend language, including C++, Java, Go, Python, or Shell.

Experience with payments, billing, fintech, marketplaces, banking infrastructure, or other high-volume transactional systems. Solid understanding of APIs, databases, concurrency, idempotency, retries, transaction boundaries, event-driven systems, and reconciliation.

Experience owning critical systems in production, including monitoring, incident response, debugging, and root-cause remediation.

Experience at a leading fintech or payments company such as Stripe, Coinbase, Block, Adyen, Plaid, Brex, Ramp, Wise, or a similarly complex financial platform.

Experience building wallets, ledgers, payout systems,



payment orchestration, billing infrastructure, reconciliation engines, or financial data platforms.

Experience building billing, invoicing, usage-based revenue, revenue recognition, or order-to-cash systems that connect operational data with accounting systems. Familiarity with cross-border payments, FX, multi-currency settlement, local payment rails, and payment infrastructure across multiple entities and jurisdictions. Familiarity with accounting concepts and systems, including double-entry accounting, revenue recognition, accrued/unbilled revenue, deferred revenue, AP/AR, clearing accounts, invoicing, settlement, and financial reconciliation Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%.

We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Use of Artificial Intelligence in Recruitment Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows.

While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience.

📌 Software Development Engineer - FinTech (Toronto)
🏢 Kindredventures
📍 Toronto