Client-Facing Cloud Infra Engineer – Vault

Thought Machine

New York (NY)

Hybrid

USD 160,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Healthcare
25 days holiday
Unlimited paid time off
401K matching
Share options
Commuter benefits
FSA
Life insurance
Latest tech
Collaborative team
Learning culture

Job summary

Thought Machine in New York is seeking a Forward Deployed Engineer to closely collaborate with client engineering teams, design, build, and deliver production-ready Vault implementations. You will drive end-to-end cloud deployments, from business logic to client infrastructure preparation, deployment, and optimization.

You will travel up to 25% of your time, work autonomously in complex environments, and bridge Thought Machine's product engineering with client delivery teams to ensure successful

Qualifications

  • Strong ability to explain technical concepts to diverse stakeholders.
  • Hands-on experience with Linux/Unix administration (Ubuntu, Debian).
  • Experience with container orchestration and service mesh tech like Kubernetes and Istio.
  • Familiarity with automation and config management tools such as Terraform, Puppet, Chef, Ansible.

Responsibilities

  • Hands on cloud infrastructure consulting on client sites and remotely.
  • Design and prepare scalable cloud infrastructure for Vault deployments.
  • Deploy and configure Vault products on client and SaaS clouds.
  • Collaborate with product and engineering to incorporate client feedback.
  • Support and troubleshoot infrastructure with monitoring and logging.
  • Coordinate with commercial teams during presales on infrastructure queries.

Skills

Linux/Unix
Kafka
PostgreSQL
Kubernetes
Istio

Tools

Terraform
Puppet
Chef
Ansible

Job description

Thought Machine in New York is seeking a Forward Deployed Engineer to closely collaborate with client engineering teams, design, build, and deliver production-ready Vault implementations. You will drive end-to-end cloud deployments, from business logic to client infrastructure preparation, deployment, and optimization.

You will travel up to 25% of your time, work autonomously in complex environments, and bridge Thought Machine's product engineering with client delivery teams to ensure successful

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