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Principal Software Engineer – Data Engineering and Cloud

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: ThreeV Technologies, Inc.
Remote/Work from Home position
Listed on 2025-12-02
Job specializations:
  • Software Development
    Data Engineer, Software Engineer, AI Engineer
Job Description & How to Apply Below

Principal Software Engineer – Data Engineering and Cloud

Three

V Technologies, Inc. is an early‑stage, venture‑backed startup developing a Multi‑Sensory Asset Intelligence Platform (MSAIP). Our system leverages custom large‑language models, computer‑vision architectures, and frontier AI techniques to dramatically improve inspection processes for power & utilities, renewables, and public infrastructure. The platform reduces operations & maintenance costs, streamlines decision making, and enhances data accuracy.

Job Summary

We seek a highly skilled Principal Software Engineer with deep expertise in cloud engineering, architectural design, and coding to help scale our AI SaaS platform. This role focuses on building production‑grade systems, mentoring engineers, and shaping the technical direction of a venture‑backed, AI‑native startup.

Key Responsibilities
  • Architect, design, and maintain high‑quality code in Python.
  • Design data pipelines that ingest diverse systems (Kafka, sensors, real‑time streams, data lakes).
  • Be well‑versed in AWS, Azure, container‑based applications, and Kubernetes.
  • Handle incremental, delta, and single‑source‑of‑truth data engineering workloads.
  • Review and approve PRs across services and SDKs, providing constructive feedback.
  • Rapidly prototype, scaffold systems, and decompose complex architectures into modular subsystems and microservices.
  • Lead a high‑code‑quality culture, implementing design and messaging patterns.
  • Own technical strategy for scalable cloud infrastructure across AWS, Azure, and multi‑cloud setups.
  • Contribute to built‑vs‑buy decisions, especially regarding open‑source and commercial tools.
  • Build integrations around legacy systems such as SAP and GIS.
  • Create and deploy modern data pipelines, APIs, and SDKs.
  • Advocate automation‑first thinking across environments, pipelines, and deployments.
  • Maintain reliable, high‑quality data engineering pipelines.
  • Participate in customer engagements, translating feedback into product and platform improvements.
  • Build user‑centric tools and interfaces, collaborating with product design.
  • Mentor junior engineers across multiple time zones and collaborate cross‑functionally with product, data science, and customer success teams.
  • Create low‑latency, high‑throughput systems.
Minimum Qualifications
  • 8+ years of full‑time software engineering experience, including staff, lead, or architect roles.
  • Deep experience with cloud‑native architecture and developing applications on AWS (hands‑on) and Azure.
  • Expertise in Databricks, Delta Lake, Apache Kafka, Airflow, and DAGs.
  • Strong Python skills; experience in multiple programming languages is highly valued.
  • Experience with containers, CI/CD pipelines, and modern cloud tooling.
  • Proven ability to design and ship cloud applications at scale with low latency, auto‑scaling, and request routing.
  • Familiarity with SDK development, API design (both consuming and building), and schema‑less databases.
  • Comfortable with relational and No

    SQL database architectures.
  • Track record of building high‑quality, open‑source or enterprise‑grade software.
  • Background in high‑caliber tech companies or open‑source‑centric environments (e.g., Databricks, Hugging Face, Replicate).
  • Solid understanding of software design patterns, cloud architectures, and messaging patterns.
Preferred Qualifications
  • Experience with AI/ML platforms, computer‑vision labeling tools, and data pipelines.
  • Built or contributed to systems supporting computer‑vision or remote‑sensing data via pipelines.
  • Prior work on enterprise‑scale legacy modernization initiatives.
  • Background in utilities, energy, infrastructure, or regulated, high‑complexity industries.
Education
  • Bachelor’s degree minimum in Computer Science, Data Science, Engineering, Information Systems, or a related technical field. Other educational backgrounds are encouraged if Minimum or Preferred Qualifications are met.
  • Master’s degree preferred but not required; extensive related industry experience can offset.
Work Environment

Three

V.ai is a remote‑first company with our primary base in Los Angeles, CA. We support flexible remote work and also host annual all‑hands off‑site meetings to foster collaboration. Candidates in…

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