Staff DevOps Engineer

Posted 2 Days Ago
Palo Alto, CA
Mid level
Generative AI
The Role
As a DevOps Engineer, you will design, implement, and maintain the infrastructure and deployment processes for applications. This includes building CI/CD pipelines, managing containerized applications with Kubernetes, and automating workflows with scripting in Bash and Python.
Summary Generated by Built In

Who we are?  
Typeface is on a mission to help everyone express their unique imagination. We believe technology is a creative partner that empowers any company to tell their unique stories faster and easier than ever before. Generative AI platforms represent a major breakthrough to create content at tremendous speed and scale. For enterprises to successfully leverage their potential, they need to include their unique voice and style and ensure responsible AI practices. We unite content velocity with brand personalization and safety, so that every company can achieve its creative potential. We are looking for passionate individuals who want to help build a fast-growing GenAI company from the ground up.  

Why join us? 

  • Bleeding edge technology: We explore uncharted territory at the intersection of art and science. We strive to revolutionize content, amplifying human creativity with cutting-edge AI in a safe and responsible way.  
  • Best-in-class product: We built the leading enterprise-grade generative AI solution, so any business, from startups to Fortune 500 companies, can 10x personalized content at scale. Typeface combines the best-in-class AI platforms across the board with our own brand-personalized AI model to hyper-personalize content at scale with a responsible AI approach. 
  • World-class team: Founded by the former CPO & CTO of Adobe, Abhay Parasnis, and a highly experienced team with a proven track record of building revolutionary, long-lasting AI, SaaS, and media technologists that are completely focused on customer impact.  
  • Top-tier Investors: Backed by top-tier venture capital firms: Lightspeed Venture Partners, Salesforce Ventures, GV (Google Ventures), Madrona, Menlo Ventures, and M12 (Microsoft’s Venture Fund). Check out our Series B announcement. 
  • Rapid customer traction: Overwhelming demand from Fortune 500 companies and popular digital-native brands from every industry. 
  • Awards & recognition: Honored to be a winner of 10+ industry awards for our unique approach to enterprise GenAI, including Fast Companys “Top 5 Next Big Things in Tech” and Adweek’s AI Company of the Year. 
     

The Mission

As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and deployment processes that power our applications. You will work closely with our development and operations teams to ensure smooth and efficient delivery of our products.


Core Responsibilities

We are looking for strong DevOps engineers across multiple levels to join our team and help us improve our cloud and security infrastructure.

  • Design, build, and maintain CI/CD pipelines to ensure rapid and reliable delivery of software.
  • Implement Infrastructure as Code (IaC) using tools like Terraform and Bicep.
  • Manage and orchestrate containerized applications using Kubernetes.
  • Develop and maintain scripts in Bash and Python to automate workflows and processes.
  • Monitor, troubleshoot, and optimize infrastructure for performance and scalability.
  • Collaborate with cross-functional teams to define infrastructure requirements and ensure they are met.
  • Implement best practices for security, reliability, and performance.


Minimum Qualifications

  • 5+ years of experience in a DevOps or similar role
  • Proven experience with CI/CD tools and processes.
  • Strong proficiency in Infrastructure as Code (IaC) with 2+ years of experience with tools such as Terraform and Bicep.
  • Hands-on experience with Kubernetes for container orchestration.
  • Proficiency in scripting languages, particularly Bash and Python.
  • Experience with cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
  • Solid understanding of networking, security, and system administration.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.


Preferred Qualifications

  • Certified Kubernetes Administrator (CKA) certification.
  • Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack.
  • Familiarity with configuration management tools like Ansible, Puppet, or Chef.
  • Knowledge of GitOps principles and tools.
  • Experience in a startup environment.

Base Salary

The salary range for this role is $175,000-$240,000.

Benefits

  • Medical, dental, and vision insurance coverage for all employees
  • Competitive salary and equity compensation
  • Flexible PTO
  • Parental Leave
  • Hybrid schedule with company provided lunch when in office
  • Opportunities for professional growth and development
  • Work with a fast-growing startup and be a part of an exciting journey

Equality Opportunity Statement

Typeface is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Diversity & Inclusion Statement

At Typeface, we embrace everyone and believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background or identity. We value diversity in all its forms and strive to cultivate a culture where all employees can bring their best selves to work.


Top Skills

Bash
Python
The Company
HQ: San Francisco, CA
38 Employees
On-site Workplace
Year Founded: 2022

What We Do

Typeface is the generative AI application to supercharge personalized content creation for businesses. By uniting content velocity with brand personalization and control, any enterprise can now create exceptional, on-brand content faster and easier than ever before.

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