Rasa

Senior Infrastructure Engineer

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Position Overview

  • Location Type: Not specified
  • Job Type: Full-time
  • Salary: Not specified

At Raya, Infrastructure Engineers are passionate about building and maintaining robust, scalable infrastructure that empowers product engineering teams to innovate with confidence. You are excited to work with modern cloud platforms, Kubernetes, and infrastructure-as-code technologies. The ideal candidate will have 6-8+ years of experience with demonstrated growth in previous roles, showing both technical depth and leadership in infrastructure engineering. You will join the Platform Engineering team to help evolve our infrastructure foundation during this period of rapid growth.

As a Senior Infrastructure Engineer, you'll drive the technological advancement of our Infrastructure Platform within Raya. Leveraging best-in-class cloud technologies and container orchestration, your work will be central to delivering a reliable, secure, and scalable foundation that our product teams depend on daily. We prioritize learning and teamwork and love giving people the opportunity to champion infrastructure solutions to complex challenges while growing into the best versions of themselves.

A great candidate is excited to support our infrastructure initiatives across multi-regional environments, Kubernetes orchestration, deployment automation, and observability. With a strong focus on performance optimization, you can design infrastructure that maximizes application efficiency and resource utilization. You're enthusiastic about leveraging AI to enhance your own infrastructure workflows, automate complex tasks, and maximize the scale and impact of your work. You design infrastructure architecture in a scalable, evidence-based manner while understanding the value of working within established systems and thoughtfully introducing improvements. Finally, you believe in Raya's vision of enriching lives by fostering relationships through quality, in-person interactions.

Responsibilities

  • Infrastructure Leadership: Design and build major new infrastructure components and platforms to support Raya's growing needs.
  • Kubernetes & Container Orchestration: Lead our Kubernetes strategy, designing and implementing container orchestration solutions that optimize for various application workloads.
  • Performance Optimization: Design and optimize infrastructure for maximum application performance, focusing on memory management, resource allocation, network traffic optimization, and system efficiency.
  • Reliability Engineering: Implement SLOs, monitoring, and observability solutions to ensure high reliability of our platform.
  • Cloud Engineering: Apply your in-depth knowledge of AWS to design scalable, resilient architectures across multiple regions.
  • Incident Response: Participate in on-call rotations and lead complex infrastructure incident resolution and post-incident analysis.
  • System Evolution: Thoughtfully improve existing infrastructure through incremental enhancements while respecting operational constraints.
  • Deployment Automation: Enhance our CI/CD pipelines and deployment strategies to enable faster, safer releases.
  • AI-Enhanced Workflows: Integrate AI tools and capabilities into infrastructure workflows to automate complex tasks, enhance decision-making, and maximize operational efficiency.
  • Infrastructure Security: Collaborate with security teams to implement secure-by-design infrastructure.
  • Cost Optimization: Design cost-effective infrastructure solutions and implement optimization strategies.
  • Team Mentorship: Contribute to engineering excellence by mentoring other infrastructure engineers.

Qualifications

  • A BS/MS in Computer Science, Engineering, Systems Administration, or a related field.
  • 6-8+ years of experience in infrastructure engineering.

Company Information & Benefits

  • Vision: Enriching lives by fostering relationships through quality, in-person interactions.
  • Benefits:
    • Comprehensive medical and dental coverage.
    • $50 a day food delivery budget.
    • Equity-based employment.
    • Great culture.
    • Learning opportunities.
    • Unlimited vacation.
    • 12 weeks paid parental leave.
    • $1,000 annual travel stipend for exploring new places.

Skills

Cloud Platforms
Kubernetes
Infrastructure-as-code
Deployment automation
Observability
Performance optimization
AI integration
Infrastructure architecture

Rasa

Develops conversational AI software for businesses

About Rasa

Rasa develops software that allows machines to understand and respond to human language, focusing on conversational AI. Their main products include Rasa Open Source, which is a free platform for developers to create and customize chatbots and virtual assistants, and Rasa X, a paid solution that offers advanced features and support for businesses. Rasa's technology helps companies automate customer service, improve user engagement, and provide 24/7 support. Unlike many competitors, Rasa emphasizes community involvement through its open-source platform, allowing users to contribute to the software's development. The company's goal is to empower businesses of all sizes to enhance their customer interactions using intelligent AI solutions.

San Francisco, CaliforniaHeadquarters
2016Year Founded
$68.2MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Benefits

Flexible Work Hours
Unlimited Paid Time Off
Paid Sick Leave
Paid Public Holidays
Health Insurance
401(k) Company Match
Equity Options
Professional Development Budget
Home Office Stipend
Paid Vacation
Remote Work Options

Risks

Competition from companies like NLX threatens Rasa's market share in conversational AI.
Rapid AI advancements pressure Rasa to continuously innovate to stay competitive.
Strategic partnerships may lead to dependency or misalignment if not managed well.

Differentiation

Rasa combines pro-code and no-code options for cross-team collaboration in AI development.
Rasa's LLM-native dialogue engine offers transparency and reliability for enterprise clients.
Rasa provides both open-source and enterprise solutions, fostering a large user community.

Upsides

Rasa's recognition by Gartner enhances its credibility in the conversational AI market.
The partnership with Izertis expands Rasa's market reach and collaboration opportunities.
Recent $30 million funding boosts Rasa's resources for growth and innovation.

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