Cloud platform engineer at Writer

New York, New York, United States

Writer Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries

Requirements

  • Have 8+ years of experience in cloud platform engineering or related role (site reliability engineering)
  • Have 3+ years of experience leading engineering teams
  • Have extensive experience with cloud platforms (AWS, GCP, or Azure)
  • Are proficient in infrastructure as code (Terraform, CloudFormation, etc.)
  • Have deep experience with multi-tenant architectures and tenant isolation
  • Can write clean, maintainable code in Python, Go, or similar languages
  • Understand containerization and orchestration (Docker, Kubernetes)
  • Have proven experience with cross-region deployments and active-active architectures
  • Have experience with agile development methodologies
  • Have experience establishing new teams and best practices
  • Have experience with multi-cloud architectures and hybrid deployments

Responsibilities

  • Establish and lead the cloud platform team
  • Architect and implement multi-cloud infrastructure across AWS, GCP and Azure regions
  • Design and build highly scalable, distributed systems for multi-tenant workloads
  • Define and implement best practices for automated infrastructure across cloud providers
  • Architect and implement tenant isolation mechanisms to ensure data security and compliance
  • Create and manage environment lifecycle automation for dev/qa/demo environments
  • Design and implement cross-region capabilities and active-active deployments
  • Develop tenant migration and pod management solutions
  • Collaborate with development teams to understand tenant requirements and constraints
  • Implement infrastructure as code for region-level deployments
  • Monitor and optimize tenant isolation and security
  • Document tenant management processes and best practices
  • Stay current with industry trends in multi-tenant architectures
  • Participate in on-call rotation for critical platform services
  • Contribute to technical decisions around tenant isolation and region management
  • Mentor and grow the cloud platform team
  • Implement and maintain deployment automation and CI/CD pipelines
  • Design and optimize Kubernetes infrastructure for multi-tenant workloads
  • Drive infrastructure cost optimization and efficiency

Skills

Key technologies and capabilities for this role

AWSGCPAzureMulti-CloudInfrastructure as CodeKubernetesDistributed SystemsTenant IsolationAutomationSecurityCross-RegionActive-ActiveMonitoring

Questions & Answers

Common questions about this position

What is the work arrangement or location policy for this role?

The position is hybrid.

What experience and skills are required for this cloud platform engineer role?

Candidates need 8+ years in cloud platform engineering or SRE, 3+ years leading teams, extensive experience with AWS, GCP, or Azure, proficiency in infrastructure as code like Terraform, deep knowledge of multi-tenant architectures and tenant isolation, and ability to code in Python, Go, or similar, plus containerization and orchestration skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

What will I be doing in this role, and who do I report to?

You'll establish and lead the cloud platform team, architect multi-cloud infrastructure across AWS, GCP, and Azure, implement scalable multi-tenant systems with tenant isolation, automate environment lifecycles, and collaborate with dev teams, reporting to Charles Cooke, head of cloud operations.

What kind of team and culture can I expect at Writer?

This is a founding role to establish the cloud platform team, where you'll lead, mentor, and grow the team while working closely with development teams on scalable multi-tenant platforms in a fast-growing AI company.

Writer

AI platform for business process optimization

About Writer

Writer.com provides a platform that uses artificial intelligence to enhance business processes for various clients, including major companies. The platform integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to tailor AI solutions to a client's specific brand and knowledge. LLMs generate human-like text, NLP helps computers understand human language, and ML enables learning from data. Writer's platform is built on secure, enterprise-grade LLMs called Palmyra, which are designed to be open and transparent, ensuring that client data is never used for training. This allows clients to self-host the models, giving them control and visibility over their data. The platform assists businesses in speeding up processes and generating customized outputs, such as summaries and insights, while adhering to legal and brand guidelines. Writer.com operates on a subscription-based model, where clients pay a recurring fee for access to its features.

San Francisco, CaliforniaHeadquarters
2020Year Founded
$317.1MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Generous Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Paid Parental Leave
Fertility Treatment Support
Family Planning Benefits
Health Savings Account/Flexible Spending Account
Home Office Stipend
Phone/Internet Stipend
Wellness Program
Company Equity
Stock Options
401(k) Retirement Plan
401(k) Company Match

Risks

Increased competition from Logic, offering similar AI integration services.
Google's Gemini AI integration in Workspace could overshadow Writer's offerings.
High investor expectations may strain Writer's resources and focus.

Differentiation

Writer's Palmyra Creative model addresses the 'sameness problem' in AI-generated content.
Writer offers a secure, enterprise-grade platform with self-hosted LLMs for client control.
Writer integrates AI with brand-specific knowledge, enhancing business process customization.

Upsides

Writer raised $200M in Series C funding, boosting its enterprise AI leadership.
Growing demand for AI-driven content personalization aligns with Writer's offerings.
Writer's orchestrator agents enhance AI integration, appealing to enterprise clients.

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