• Small, fast-moving team; your work shows up in the operation the same week.
• A mix of support conversations, focused software days, and field days at capture sites.
• AI agents are a first-class part of how the whole team works. You'll work directly with the

Day In The Life

Product engineering (40%)

• Build features in the desktop and mobile apps. Ship improvements to the desktop app site staff run every day (offloading cards, uploading, seeing what landed) and the phone app contributors record with: better flows, clearer states, fewer ways to get stuck.
• Build the dashboards and reports the operation runs on. Hours and progress reports, upload accounting, status screens: make the numbers trustworthy and the words on screen say what's actually happening.
• Write software every week, with AI as your leverage, across the desktop app (Electron), the phone app (React Native), web dashboards (React/TypeScript), and Python services and tooling. You'll routinely have AI agents write and iterate on diagnostics, tests, and features with you.

Field support & debugging (35%)

• Run the daily support loop. Be the first responder in our support channels when site staff hit upload, app, or device problems; answer in plain language, unblock them fast, and follow through until it's resolved, not just explained.
• Diagnose and unblock the upload path. When footage is stuck between a capture card and the cloud, trace where and why (device, card, app, network, cloud), get it moving again safely, and make sure nothing is lost or double-counted along the way.

Scaling the operation (15%)

• Solve classes of problems, not instances. Every question the ops team has to ask an engineer twice is a gap; turn recurring ones into self-serve screens, clearer error messages, AI-powered diagnostics, and guides operators reuse. Your goal is that the operation can grow without support growing with it.

Devices & hardware (10%)

• Be hands-on with devices when the problem is physical. Use AI-written tests to check why a camera or battery isn't behaving, open a device to inspect it, and swap parts like cameras and buttons. No soldering. You'll also help put beta hardware in operators' hands and report what breaks.

• Deep care for the user. The operators and contributors using what you build are people you'll know by name; their lost hour bothers you until it's found, and "works on my machine" isn't done.
• Flexible, fast, and scrappy. You'd rather ship a working fix today and improve it tomorrow than design the perfect one next week; you're comfortable when this month's job looks different from last month's.
• A willing debugger and problem-solver. You can follow data through a pipeline with many stages, form hypotheses, write quick tests (with AI's help), and follow the evidence rather than guessing, wherever the problem lives.
• AI-leverage mindset. You already use AI tools well and they multiply you; when problems repeat, your instinct is to build something that solves the whole class rather than working through them one by one. You treat the challenges of a scaling team and operation as the fun part, not the fine print.
• Strong communicator, concretely. With site operators and contributors, you answer "what does this error mean?" with what it means and what to press right now, in plain words, and you write step-by-step guides a non-technical person can follow on the first try. With the operations team and core engineers, you write down what you saw and tried, pick up a thread someone left overnight, ask good questions, and keep a problem moving across time zones until it's solved.
• A collaborator across teams. You stay patient on the fifth "it's still not working," and people finish a conversation with you knowing exactly what to do next.
• Care for data integrity. In our world, a lost or double-counted recording is someone's unpaid hours; you treat that seriously.
• Self-directed. You'll often be the only engineer on site, supported by a remote team in other time zones.

Preferred Qualifications

• Solid software fundamentals: working Python, comfort in Linux (services, logs, networking), and the ability to build app UIs
• Strength in at least one of web (React/TypeScript), desktop (Electron), or mobile (React Native), and the willingness to become productive across all three and debug anything
• Daily, effective use of AI coding tools and agents
• Clear written English for remote, asynchronous work
• Located in Metro Manila, and able to travel to capture locations regularly

• Experience shipping Electron or React Native apps to real users
• Experience in a support-adjacent engineering role: field engineering, solutions engineering, IT for operations teams
• Hardware tinkering: Raspberry Pi and single-board computers, cameras, taking devices apart; 3D printing for jigs and mounts
• Familiarity with cloud storage, upload pipelines, SQL/Postgres, or fleet/IoT management

Know More About Workstream

• https://www.workstream.us/blog/funding-series-b
• https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
• https://techbuzz.news/buzzworthy-august-27-2021/

Additional Information

We are committed to the full inclusion of all qualified individuals.