Software Engineer

About Mecka AI

We're hiring Software Engineers who own problems end to end — not a single layer of the stack. You'll ship production software that powers Mecka's data platform and the tools our operators, researchers, and customers use every day: web apps, APIs, internal products, and the plumbing underneath.

This is a builder seat for engineers with roughly 3–7 years of experience. Ideal backgrounds are SaaS product engineering and startup/scale-up environments where you scoped ruthlessly, shipped v1s, and owned features in production. You'll turn fuzzy requirements into reliable, usable software.

You'll land on a focus area based on strength and business need (see Nice to haves). Breadth, product sense, and ownership matter more than matching every bullet.

What you'll be doing:

• Ship end to end. Take features from design through implementation, testing, and production — frontend, backend, and the integrations between them.
• Build tools people use. Internal products, dashboards, and workflow apps for labeling, capture, delivery, QA, and ops — interfaces that are fast and clear for non-technical users.
• Own services and APIs. Backend services with correct permissions, retries, data integrity, observability, and background workflows for data-heavy operations.
• Work close to the data. Help package, validate, index, and serve large video/sensor datasets so labeling, QA, research, and customer delivery stay reliable.
• Automate the manual. Replace spreadsheet-heavy or one-off scripts with durable tools and processes alongside the teams who live in those workflows.
• Iterate with users. Get a v1 in front of operators and stakeholders quickly; harden what proves out.

Who you are:

• 3–7 years building and shipping production software (or equivalent impact), ideally in SaaS and startup / scale-up environments.
• Comfortable owning a feature across the stack — modern frontend (e.g. TypeScript/React) and at least one backend language (e.g. Python, Node, Go).
• Strong product sense and a bias to ship: scope ruthlessly, put work in users' hands, iterate.
• Design and build high-throughput services upload/ingest huge amounts of data, processing, indexing, retrieval, and access control.
• Practical experience with databases (e.g. SQL/PostgreSQL, MongoDB) and production APIs (REST/GraphQL).
• Ownership of systems in production: monitoring, debugging, and root-cause fixes — not just greenfield demos.
• Clear communication with non-technical partners (ops, product, finance, delivery).

Even better if you bring:

Lean into one or more of these — they map to how the current openings differ. Strong fit in any one area is enough; you don't need all of them.

• Internal products / 0→1 delivery tooling: dataset review & QA UIs, delivery-tracking dashboards, export/validation workflows for ego-data deliveries to AI labs.
• Full-stack ops applications: labeling, capture, and country/ops management apps; clean UX for international, non-technical teams.
• Web & media / SDK: viewers and players for egocentric capture (multi-stream playback, timeline sync, large-media performance); API/SDK design for hardware and data consumers.
• Data platform backend: high-throughput ingest, processing, indexing, and serving of large video/sensor datasets; reliability, cost, and observability at scale.
• Payments & revenue systems:payouts, payment orchestration, reconciliation, invoicing, and finance tooling where correctness and auditability matter.
• AI as a force multiplier: daily use of AI coding tools; practical LLM integrations in internal tooling (validation, search, workflow triggers).
• Early/founding engineer experience, video/media systems, cloud (AWS/GCP/Azure) + CI/CD, or fintech/transactional backends.

Why Mecka

• Real surface area from day one on problems that are still greenfield.
• Direct impact across delivery, operations, research, and the frontier labs that depend on our data.
• Hybrid work with teams in Toronto, New York, and San Francisco to build the infrastructure for physical AI as it moves from lab demos into the world.