Platform Engineer



Role Location

  • Remote


26 - 50 people


548 Market St # 22409
San Francisco, CA, 94104-5401, US

Tech Stack

  • Go
  • Node.js
  • Kaf
  • Elast
  • Kub
  • Pro
  • React
  • Electron
  • TensorFlow
  • Python
  • PyTorch
  • JavaScript

Role Description

Plainsight streamlines vision AI for enterprises with new ways to analyze, share and benefit from valuable visual information. Solving problems where others have failed, Plainsight helps the world’s most innovative customers realize the potential of their data through smart, easy to use, effective solutions. Our intuitive, low-code platform gives every team across organizations the ability to build, manage, and operationalize solutions. With actionable insights and unblinking accuracy, Plainsight powers enterprise-ready applications to automate processes, mitigate risk, enhance product portfolios, and increase revenue opportunities.

At Plainsight, we’re solving core problems with existing ML / AI pipelines, and designing the future of how people will collect, label, train, and deploy ML models across the globe. You will join a team of highly talented engineers, in the pursuit of architecting and implementing both on-premise and cloud infrastructure. You’ll be working with a team to build systems and functionality that handles end to end machine learning pipeline automation with GPU and IoT devices in never before seen ways.

Key Responsibilities

Provide day to day support of GCP cloud servers and server based applications. Manage GKE infrastructure running in GCP with Terraform and Helm. Lead research and application of new cloud technologies. Assist in the development of on-prem and cloud edge device capabilities. Manage and monitor installed systems and infrastructure. Create and streamline CI/CD processes.

Required Qualifications

Experience in running cloud infrastructure in GCP. Experience using containers, container orchestration, and container configuration management using Docker, Kubernetes, and Helm. Deep understanding of container technologies and orchestration systems, preferably 2+ years of Docker and Kubernetes. Experience with GKS is a plus. Experience with nvidia-docker is a plus. Experience with application observibility, logging, and monitoring systems such as Grafana, Stackdriver/Loki, Prometheus, and New Relic. Experience with implementing end to end CI/CD processes using technologies such as Jenkins, Github Actions, CircleCI, etc. Experience managing Linux systems. Working knowledge of programming languages or Scripting languages such as Bash, Python, or Golang. Skilled in working in a distributed remote team of talented engineers. Strong communication skills.

Additional experience in the following areas is a bonus

Experience with OpenStack. Experience with Ansible. Coding skills, preferably Golang or Python experience. Solid understanding of video and image transcoding and manipulation. Libav / Libx264 experience is a huge plus. Familiarity with Ffmpeg and GStreamer are huge pluses. Familiarity with the latest in ML / AI frameworks. Pytorch / Detectron2, FastAI, Tensorflow experience a plus. Experience working with large scale time series databases. Experience in implementing, running, and maintaining large scale queuing and stream processing systems, such as Kafka. MQTT experience is a plus.

About Sixgill

Sixgill provides an industry-first AI IoT platform for end-to-end machine learning (ML) lifecycle management. The Sixgill Sense platform empowers enterprise executives, data scientists, and ML engineers with one unified system for computer vision and IoT solutions. In one powerful yet easy to use interface, AI/ML teams get integrated tools for device fleet management, machine learning model building with Sense data annotation, and flexible edge, cloud, on-premise or hybrid deployment. Sixgill accelerates the productionalization and success of AI-powered video, edge and IoT applications at any scale.

Company Culture

We are an all hands on deck team that cares. We will value your ideas, expertise, and leadership. There is very little bureaucracy in the way of getting things done.

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