Senior Infrastructure Engineer/SRE

Job not on LinkedIn

🕒 April 9

🇺🇸 United States – Remote

💵 $205k - $270k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cresta

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Cresta is an enterprise-grade AI platform that focuses on enhancing contact center operations. By employing a unified platform for human and virtual agents, Cresta aims to improve customer experience, increase revenue, and reduce costs. The platform integrates AI to assist with sales, customer care, retention, and collections, providing real-time guidance and insights. Cresta's AI capabilities include conversation intelligence, agent assistance, quality management, and virtual agents. With a focus on automation and augmentation, Cresta seeks to transform workflows and customer interactions across various industries, including telecommunications, finance, and retail.

📋 Description

• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. • Ensure reliability of multi-cloud Kubernetes clusters and pipelines. • Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. • Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers. • Automate operations and engineering. Focus on automation so we can spend energy where it matters. • Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

🎯 Requirements

• 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field. • Deep proficiency with coding languages such as Golang or Python. • Deep familiarity with container-related security best practices. • Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus. • Production experience with Kubernetes templating tools such as Helm or Kustomize. • Production experience with IAC tools such as Terraform or CloudFormation. • Production experience working with AWS and services such as IAM, S3, EC2, and EKS. • Production experience with other cloud providers such as Google Cloud and Azure is a bonus. • Production experience with database software such as PostgreSQL • Experience with GitOps tooling such as Flux or Argo. • Experience with CI/CD such as GitHub Actions.

🏖️ Benefits

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family • Flexible PTO to take the time you need, when you need it • Paid parental leave for all new parents welcoming a new child • Retirement savings plan to help you plan for the future • Remote work setup budget to help you create a productive home office • Monthly wellness and communication stipend to keep you connected and balanced • In-office meal program and commuter benefits provided for onsite employees