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Sand Technologies

Enterprise AI solutions, automation and analytics

Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listed

About the Job

Requirements

  • Five to eight years of experience in platform engineering, cloud infrastructure, DevOps, or site reliability, operating production systems.
  • Hands-on experience provisioning and operating production data infrastructure in Azure and AWS, with strong understanding of networking, identity and access management, secure data handling, and design within client landscapes and governance constraints.
  • Ability to reason under pressure about VPCs and VNets, subnets, security groups, DNS, load balancing, private connectivity, and communication across customer boundaries.
  • Experience with Kubernetes and containers, including pods, deployments, services, namespaces, and troubleshooting through kubectl or another Kubernetes API interface.
  • Required demonstrable infrastructure-as-code experience with one or more tools such as Pulumi, Terragrunt, Terraform, OpenTofu, CDK, or equivalents.
  • Familiarity with Python for automation.
  • Ability to follow and improve standard Git workflows and branching strategies.
  • Ability to size compute, memory, and storage to customer needs and environment limits, including finite on-premises resources.
  • On-call experience and ability to conduct root cause analysis that drives long-term improvements.
  • Ability to hold technical conversations with customer infrastructure and security teams, earn their trust, and represent commitments without over-promising.
  • Comfort working in small teams and contributing to globally coordinated efforts, with ownership, self-motivation, discipline, and clear communication through virtual collaboration tools and video conferencing.

Responsibilities

  • Lead and deliver end-to-end deployment and operation of cloud infrastructure, including Symmetri environments, for US customers.
  • Provision infrastructure for new environments across managed cloud, single-tenant, and on-premises variants, following established patterns and practices.
  • Configure customer environments for performance, scale, resource ceilings, network boundaries, identity, and the customer's security model.
  • Run upgrade and maintenance cycles and coordinate releases across live customer production estates without disrupting dependent operations.
  • Monitor production systems, manage alerting, and serve as first responder for critical production outages.
  • Collaborate with the remote enablement team and regional operations counterparts to establish a full US-based operations team and set standards for US deployment and operations.
  • Take a US customer environment from provisioning to production and become its named owner.
  • Create accurate runbooks that another person or agent can safely follow.
  • Establish and tune monitoring and alerting so pages and silence convey meaningful signals.
  • Represent the company as the technical voice in customer security reviews.
  • Assess which parts of the global deployment approach need to work differently in the United States.

Desired Qualifications

  • Experience with Pulumi; it is used for Symmetri.
  • Experience with Python for automation.
  • Experience in public sector, utility, or other regulated operational environments and their security review processes.
  • Experience with air-gapped, sovereign, or disconnected deployments of data-intensive systems.
  • Experience with observability and monitoring stacks, including building alerting systems.
  • Experience serving machine-learning models and large language model systems in production, including offline.

About the Company

Sand Technologies

Enterprise AI solutions, automation and analytics

Sand Technologies provides AI solutions for enterprises and industries, using advanced data science to help clients automate processes, generate predictive insights, and build custom models. Its products are tailored AI applications that combine automation, predictive analytics, and specialized modeling to meet each client’s needs. The company serves large corporations and niche sectors worldwide, differentiating itself through customized, scalable AI deployments rather than one-size-fits-all products, and by building long-term partnerships. The goal is to help clients solve complex challenges, improve efficiency, and drive innovation by adopting scalable AI solutions under project-based, subscription, and long-term service contracts.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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