Software Engineer
US$140,000 – US$160,000 / yr base salary
Posted 22 Aug 2026
Advertised as “Senior Software Engineer - Cloud Data Platform”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$140,000 – US$160,000 / yr |
|---|
Senior Software Engineer
Cloud Software & Data Platform
We are seeking a senior individual contributor who owns significant areas of Picarro’s cloud software and data platform end to end—from architecture through production operations. This role works in a product-engineering-driven culture, moving quickly from ambiguous problems to working prototypes, using AI coding tools to accelerate delivery, and taking ownership of the reliability of what they build.
Responsibilities
- Design and build core services and features across Picarro’s cloud and data platform, from APIs and data models through the user interface where applicable.
- Own technical decisions for systems within scope, including architecture, tradeoffs, and long-term maintainability.
- Use AI-assisted tooling, such as Cursor or similar platforms, as a standard part of the engineering workflow while applying strong judgment about what to trust, verify, and refine.
- Build and maintain data pipelines that handle sensor- and instrument-generated data at scale, with attention to data quality and provenance.
- Take ownership of production health for systems built, including monitoring, alerting, incident response, and root-cause analysis.
- Mentor junior and mid-level engineers on system design, engineering practices, and pragmatic delivery.
- Partner directly with product managers and domain experts to translate ambiguous requirements into shipped, reliable software.
Qualifications
- 5+ years of professional software engineering experience, with demonstrated ownership of production systems end to end.
- Strong full-stack or backend engineering depth, with flexibility across languages such as Python, Go, TypeScript, or similar, and hands-on experience with data-intensive systems.
- Comfort with cloud infrastructure such as AWS, GCP, or Azure, as well as CI/CD and modern observability tooling.
- Experience using AI coding assistants productively in a professional engineering workflow.
- Track record of taking projects from prototype to production with minimal oversight.
- Background building software as a core product at a software product company, R&D lab, or technology-first organization, rather than primarily internal IT, retail/e-commerce technology operations, or IT services/consulting environments focused on implementing or customizing third-party software.
Nice to Have
- Public GitHub or similar portfolio showcasing real project work.
- Experience with IoT, sensor data pipelines, or time-series data technologies such as TimescaleDB or InfluxDB.