Staff Platform Engineer, Pinecone
$184-215k
+ Equity
Vector database
Be an early applicant
Vector database
201-500 employees
Be an early applicant
$184-215k
+ Equity
201-500 employees
Company mission
To build the search and database technology to power AI/ML applications for the next decade and beyond.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of experience in platform engineering, DevOps, or a similar role
- Strong proficiency in managing CI/CD pipelines and build automation tools (e.g., Jenkins, GitLab CI, CircleCI)
- Hands-on experience with automated testing frameworks and tools
- Experience with cloud platforms (AWS, GCP, Azure) and cloud-native services
- Proficiency in infrastructure as code (IaC) tools such as Pulumi and Helm
- Solid programming skills (e.g., Python, Java, Rust, C++). We build automation and tooling using Rust and Python
- Strong understanding of containerization (Docker) and orchestration (Kubernetes) technologies
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment
What the job involves
- In this role, you will be instrumental in shaping the technical direction, scalability, and efficiency of our platform infrastructure
- This role is a blend of hands-on engineering and technical leadership, responsible for leading a team of engineers in creating a seamless, reliable, and high-performance developer experience that accelerates productivity across all engineering teams
- You will work closely with cross-functional stakeholders to guide the evolution of our platform, ensuring it meets the growing demands of our applications in a secure, scalable, and robust manner
- Technical Strategy and Best Practices
- Lead technical initiatives and establish best practices within platform engineering, setting the direction for infrastructure, deployment processes, and developer tooling
- Provide technical mentorship, fostering a culture of high standards in platform development and encouraging team members to solve complex problems effectively
- Developer experience
- We work closely with software engineers to align platform engineering efforts with development goals, ensuring seamless integration and support
- We build and maintain tools such as CLIs and manage development environments to streamline workflows and enhance productivity
- Deployments
- We build our systems on top of Kubernetes and Cloud Run, with underlying infrastructure managed by Pulumi
- Our deployment process utilizes Kubernetes tooling, including Helm, Helmfile, and ArgoCD, to ensure smooth and efficient operations
- Builds
- We manage a monorepo with multiple projects, requiring efficient build automation to ensure a quick feedback cycle by building only necessary artifacts
- Our cross-platform environment necessitates building binaries for Intel and ARM architectures, utilizing containerization with technologies such as Docker builds, container registries, and image scanning
- Testing
- We develop and maintain comprehensive automated testing frameworks, covering unit tests, integration tests, API tests, and property-based tests to ensure high-quality software releases
- Automated tests are integrated into the CI/CD pipeline to catch issues early, while also ensuring that tests can be run quickly both locally and in CI environments
- Infrastructure
- We design, build, and maintain scalable, secure, and high-performance infrastructure across multiple cloud platforms (e.g., AWS, GCP, Azure), tackling the complexities of cross-cloud environments
- Infrastructure as code (IaC) practices are implemented using tools like Pulumi, Helm, and Kubernetes to ensure consistency and efficiency
Our take
Vector databases arrived on the scene only a few years ago, but the technology has already helped power a new breed of search engines that are based on neural networks as opposed to keywords. Vector databases quickly became popular in the world of machine learning and AI and they will continue to play a significant role in the future development of AI technologies.
Pinecone is a vector database company that specializes in providing an efficient and scalable solution for high-performance vector search applications. The platform is designed to allow businesses and developers to build, deploy, and manage machine learning applications without the hassle of infrastructures.
Pinecone is providing customers around the globe with capabilities that have, up until recently, only been utilized by tech giants. Due to the increasing demand for efficient and scalable vector database solutions, Pinecone's 2024 "breakthrough" release is set for a promising future. It claims its release will lead to 50x cost reductions for companies, that will be able to bring state-of-the-art AI to the market at a faster rate. With the company creating a buzz for itself in 2023 off the back of significant funding and with various high profile partnerships (Robust Intelligence and Gathr) announced the following year, here's to hoping it can fulfil the expectations placed upon it.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Apr 2023
$100m
SERIES B
Mar 2022
$28m
SERIES A
Total funding: $138m
Company benefits
- Company stock options
- Flexible PTO
- Medical, dental & vision plans
- Paid parental leave
- Mental health resources
- Commuter benefits
- FSA & HSA
- Flexible work hours
- Hybrid in-office/remote
- Annual team retreat
- WFH Equipment Stipend
Company values
- Be a pro: Own your work, push boundaries, and strive for simplicity.
- Be yourself: Be authentic, speak your truth, seek feedback, and know you are accepted.
- Be a friend: Earn trust, extend help, listen intently, and commit to shared decisions.
Company HQ
Civic Center, New York, NY
Articles
Leadership
Edo Liberty
(CEO)Previously worked at Yahoo and Amazon Web Services in Senior Research roles.
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