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Senior DevOps Engineer / Cloud Architect

By August 30, 2022September 15th, 2022No Comments

Senior DevOps Engineer / Cloud Architect

Status OPEN
Location Remote
Department Engineering
Hiring Manager Jacob Garland

About the Position

As a Senior DevOps Engineer / Cloud Architect at Pointivo, you will work with a team of talented and passionate folks to deploy and maintain our products, services, and APIs. You’ll help us design and evolve our distributed processing systems and implement changes to our microservices to make them more scalable and resilient. You will have oversight over all of our production systems. You’ll use your expertise in technologies like Terraform to deploy and maintain our infrastructure through code. You will manage our Kubernetes / Amazon EKS clusters ensuring that we’re operating efficiently but ready to scale quickly to meet heavy compute workloads and peak processing demands. Our customers and the volume of data flowing through our systems is growing every month. You’ll lead the charge to improve our current CI / CD pipelines and be a key driver of our team’s operational excellence. You will ensure that all environments are secured, following industry best practices and procedures. You will make certain that proper security protocols and access policies are in place and followed. In the future, you may have the opportunity to spearhead certifications such as SOC2 that help increase Pointivo’s value in certain market segments.

Lastly, and yes, we’re probably biased — but you’ll get to work with some of the world’s brightest and most talented folks. We think amazing things happen when you assemble a team of passionate people who enjoy what they are working on and who they are working with. We’re proud of the team we have created and we’d love you to come join us!

100% remote; US-based (Eastern timezone preferred);

Responsibilities

  • Design, develop, and operate infrastructure services in a cloud-based environment
  • Manage our Kubernetes clusters, monitor compute loads, help to continuously refine and improve our ability to auto scale
  • Collaborate with key stakeholders to drive principles and standards which support reliability
  • Incorporate observability standards (SLA / SLO / SLI) and reporting into infrastructure services
  • Create and maintain technical roadmaps for infrastructure services and tools
  • Provide deep expertise for key elements of infrastructure, CI / CD, and observability
  • Promote DevOps and Infrastructure as Code philosophies
  • Promote and maintain a secure infrastructure; implement security policies and protocols
  • Perform regular maintenance and upgrades on production systems
  • Oversee cloud monitoring and logging and organize alarms to warn of potential issues
  • Operate on-call rotation and escalation policies for infrastructure support
  • Manage and coach other engineers on the Infrastructure team

Essential Skills & Experience

  • Deep expertise across infrastructure, IaC, CI/CD, and observability
  • Managing and deploying to AWS infrastructure (EC2, S3, RDS, EKS, ECR, VPC)
  • Experience deploying with infrastructure from code (e.g. Terraform, Helm)
  • Experience managing logging and monitoring systems (e.g. Cloud Watch, DataDog, PagerDuty)
  • Experience troubleshooting Docker and Kubernetes deployments
  • Experience in CI / CD and automated integration tests (e.g. GitHub Actions, Jenkins, Cypress)
  • Experience using Linux OS variants; comfortable with command-line tools
  • Experience in modern programming languages (Java / Kotlin, Python, or similar)
  • Familiarity with Agile Scrum / Kanban development methodologies
  • Outstanding written and verbal communication skills

Bonus Points (non-essential)

  • Experience managing document-oriented/NoSQL databases (e.g. MongoDB, CouchDB, etc)
  • Experience managing message queues (e.g. RabbitMQ, ActiveMQ, etc)
  • Experience using GitHub and related SCM tools, reviewing PRs, merging
  • Experience with Typescript, Javascript, or C++
  • Experience with 3D / 2D geometry, global coordinate systems, and related technologies
  • Experience with parallel GPU processing using CUDA
  • Experience using Pix4D, ContextCapture, Agisoft, or other 3D reconstruction technologies
  • Familiarity with CAD, GIS, or digital map technologies (KML / KMZ, Google Maps, Bing, ArcGIS)

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