Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

As a member of the infrastructure team you are responsible for designing, building, and advancing our core infrastructure that allows the engineering team to execute quickly, productively, and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

Responsibilities:

Developer Toolchain. 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.

What we are looking for:

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.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

Staff Infrastructure Software Engineer (Kubernetes)

Job description

About the role:

Responsibilities:

What we are looking for:

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