Senior Software Engineer - Cloud Data Platform

Picarro, IncSanta Clara, CA
$140,000 - $160,000Onsite

About The Position

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.

Requirements

  • 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 Haves

  • 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.
  • Exposure to Kubernetes, Terraform, or GitOps workflows.
  • Background in a regulated or hardware-adjacent domain.

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.

Benefits

  • Medical, Dental, and Vision insurance
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) plans
  • Life, Short-Term Disability, and Long-Term Disability Insurance
  • Paid Time Off and Paid Holidays
  • Employee Referral Program
  • 401K
  • Social events (summer picnic, holiday party, team lunches, etc.)
  • On-site Health & Wellness programs (fitness challenges, outdoor bootcamp, flu-shots, etc.)
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