Infrastructure Engineer - SRE (Berlin) at Cresta

Berlin, Berlin, Germany

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, Technology, Machine LearningIndustries

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

Responsibilities

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

Skills

Kubernetes

Multi-Cloud

Infrastructure as Code

Monitoring

Logging

Alerting

Metrics

Analytics

Automation

CI/CD

DevOps

Machine Learning 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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