Software EngineerWe9re hiring Software Engineers who own problems end to end - not a single layer of the stack. You9ll ship production software that powers Mecka9s 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. You9ll turn fuzzy requirements into reliable, usable software.
You9ll 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 you9ll 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 users9 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 don9t need all of them.
- Internal products / 01 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.
If you don9t check every box above but believe you can do the job, we encourage you to apply - we9re looking for capability and trajectory, not a perfect checklist match.
