Infrastructure Engineer - SRE (Romania)

Romania

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SaaS, Contact CenterIndustries

Requirements

Candidates should have 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or an equivalent field. Deep proficiency in coding languages like Golang or Python is required, along with deep familiarity with container-related security best practices. Production experience with Kubernetes, including its ecosystem and templating tools like Helm or Kustomize, is essential. Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation, AWS services (IAM, S3, EC2, EKS), database software like PostgreSQL, and GitOps tooling such as Flux or Argo is necessary. Experience with CI/CD tools like GitHub Actions is also required. Experience with GPU-enabled clusters and other cloud providers like Google Cloud and Azure is a bonus.

Responsibilities

The Infrastructure Engineer will partner with engineers to build developer tools that empower workflows and deployment infrastructure. They will ensure the reliability of multi-cloud Kubernetes clusters and pipelines, and implement metrics, logging, analytics, and alerting for performance and security. Responsibilities include deploying infrastructure-as-code tooling and supporting services on multiple cloud providers, automating operations and engineering, and building machine learning infrastructure to enable AI teams for large-scale dataset training, testing, and deployment.

Skills

Infrastructure

SRE

Kubernetes

Multi-cloud

Pipelines

Metrics

Logging

Analytics

Alerting

Developer Toolchain

Deployment Infrastructure

Cresta

AI-powered coaching for sales teams

About Cresta

Cresta focuses on enhancing business outcomes through AI-powered coaching and assistance, particularly for sales teams. Its main product, Cresta for Sales, analyzes all sales conversations to identify performance gaps and provide real-time coaching, helping businesses improve their sales efficiency. This service is available on a subscription basis and is suitable for companies of all sizes across various industries. Cresta also offers a chatbot service that automates repetitive conversations, allowing sales agents to concentrate on more complex tasks. The patented Real-Time Intelligence Engine continuously learns from interactions to highlight effective behaviors, giving businesses a competitive edge. Clients have reported notable improvements, including faster response times and increased sales conversions.

Palo Alto, CaliforniaHeadquarters

2017Year Founded

$268.5MTotal Funding

SERIES_DCompany Stage

Consumer Software, Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Risks

Competition from AI giants like Google and Microsoft threatens Cresta's market share.

Rapid AI advancements may render Cresta's offerings outdated without continuous innovation.

Expansion into Romania and India may face operational challenges and increased costs.

Differentiation

Cresta's Real-Time Intelligence Engine offers unique AI-driven insights for sales improvement.

The company provides AI-powered coaching, enhancing sales team performance with real-time feedback.

Cresta's chatbot service reduces repetitive tasks, allowing agents to focus on complex issues.

Upsides

Cresta's $125M Series D funding boosts product development and market expansion.

Recognition in Forbes AI 50 list enhances Cresta's credibility and market presence.

Human-in-the-loop AI capabilities improve customer service interactions and satisfaction.

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