Software Engineer, Payments and Revenue

Kindredventures; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Mecka AI in Toronto is seeking a backend engineer to own payments and revenue infrastructure across global payouts, invoicing, and revenue recognition, partnering with finance to automate workflows.

You will design reliable, scalable systems with emphasis on data integrity, idempotency, and observability while integrating with banks, payment providers, and accounting systems.

Qualifications

• 3–5 years of backend development experience focused on payment systems, distributed systems, or cloud infrastructure.
• Degree in Computer Science, Software Engineering, Computer Engineering, or similar.
• Experience building production backend and distributed systems emphasizing correctness and data integrity.
• Strong experience with high-concurrency systems and scalable services.
• Proficiency in at least one backend language (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, and reconciliation.
• Experience owning critical production systems including monitoring and incident response.

Responsibilities

• Design, build, and operate global payments and payouts across providers and currencies.
• Build and maintain payment platform integrations with banks, payroll providers, and financial systems.
• Automate reconciliation across payouts, invoices, bank transactions, and accounting systems.
• Develop invoicing, billing, collections, and revenue tracking systems with reliable connections between ops and finance.
• Translate contract terms and milestones into automated revenue recognition workflows.
• Design money movement workflows with idempotency, audit trails, and safe recovery from failures.
• Partner with finance to turn manual workflows into scalable internal tools.

Skills

Payments systems

Distributed systems

Backend development

High concurrency

Programming languages

Payments fintech

Systems design

Ownership

Education

CS/Software engineering degree

Job description

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.

The Role

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. You will partner closely with finance and operations to replace manual workflows with reliable, scalable, and auditable systems.

What You Will Do

• Payments infrastructure: Design, build, and operate backend systems that schedule, validate, route, send, and track global payments and payouts across multiple providers, currencies, and banking rails.
• Payment integrations: 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.
• Revenue infrastructure: Build systems supporting invoicing, billing, collections, payment tracking, and revenue reconciliation, creating reliable connections between operational and financial data.
• Revenue recognition: 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.
• Reliability: Design money movement and financial workflows around idempotency, transaction integrity, observability, audit trails, permissions, and safe recovery from partial or failed transactions.
• Automation: Partner with finance and operations to identify manual, spreadsheet-heavy workflows and turn them into scalable internal tools and automated processes.

What you bring:

• Experience: 3-5 years of backend development experience with a focus on payment systems, distributed systems, or cloud infrastructure.
• 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.
• High-concurrency systems: 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.
• Payments: Experience with payments, billing, fintech, marketplaces, banking infrastructure, or other high-volume transactional systems.
• Systems design: Strong understanding of APIs, databases, concurrency, idempotency, retries, transaction boundaries, event-driven systems, and reconciliation.
• Ownership: Experience owning critical systems in production, including monitoring, incident response, debugging, and root-cause remediation.

Even better if you have:

• Industry: Experience at a leading fintech or payments company such as Stripe, Coinbase, Block, Adyen, Plaid, Brex, Ramp, Wise, or a similarly complex financial platform.
• Large-scale B2C: Experience at a high-volume consumer or marketplace platform such as Uber, Airbnb, DoorDash, Shopify, or similar, particularly working on payments, payouts, billing, or transaction infrastructure.
• Financial systems: Experience building wallets, ledgers, payout systems, payment orchestration, billing infrastructure, reconciliation engines, or financial data platforms.
• Revenue systems: Experience building billing, invoicing, usage-based revenue, revenue recognition, or order-to-cash systems that connect operational data with accounting systems.
• Global payments: Familiarity with cross-border payments, FX, multi-currency settlement, local payment rails, and payment infrastructure across multiple entities and jurisdictions.
• Finance workflows: 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

A Note on Applying

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%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.

Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. 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. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

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. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. 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. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.