Seek AI
Senior Software Engineer - Platform Engineering
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Overview
Seek’s mission is to create natural language interfaces to structured data, allowing business users – without experience or expertise in SQL and related languages – to explore their data as freely as searching the web. This has long been a dream of users and computer scientists alike, and as a member of the R&D team at Seek, you'll be helping realize and deliver this dream daily.
This position
The platform engineering team is responsible for building and operating a high performance, robust, and secure application that harnesses the power of our ML core. As an engineer on this team, you’ll be focused on designing, implementing, and delivering the Seek platform in the environments in which we operate. Our platform is available to customers today as a hosted SaaS application, and also as an application running inside Snowflake via Snowpark Container Services.
Responsibilities
- Design and implement product features and functionality that leverage Seek’s ML core
- Become an expert in the features and operations of our runtime cloud environments (GCP and Snowpark Container Services)
- Scope and lead new projects, taking them from concept to operational services
- Adapt Seek’s platform to the capabilities of our cloud environments as needed, for example authentication or monitoring
- Review and improve your teammates’ design docs and PRs
- Assist in hiring activities for the R&D org
Requirements
- Strong, demonstrable skills in Python or related languages
- Experience building and operating scaled services on public cloud infrastructure
- Experience designing distributed services and architectures
- Excellent communication and collaboration skills, and penchant for creating clarity
- Proven experience in operating independently on significant projects - for example, as a tech lead on new initiatives
- Strong test-driven approach to building highly reliable software
Bonus points if you have...
- Experience with Snowpark Container Services
- Experience with GCP, Kubernetes, docker, and Terraform
- Working knowledge of SQL and familiarity with data warehousing
- Understanding of authentication and authorization protocols like OAuth2
- Experience building LLM- or ML-based services
This role may be performed fully remotely within the United States for the ideal candidate. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer
Seek AI New York, New York, USA Office
New York, NY, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
