Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.
The Opportunity at Altana
The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision.
You Will
Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve the goal while fitting into our overall technical and product roadmaps.
Personally develop and deploy services creating and supporting our overall architecture.
Build and maintain distributed data processing and machine learning pipelines.
Analyze and propose technical solutions to invent, enable, and enhance our product offerings.
Be responsible for automating, testing, and deploying your work.
Review the code and technical designs authored by your fellow team members, and hold a high bar for quality.
Mentor junior developers and help them level up their skills.
You Have
BS or MS degree in Computer Science, or equivalent experience.
5+ years of real-world professional experience writing back end or data-driven software in demanding environments.
You’ve deployed production code and services to cloud-hosted environments.
You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production.
Self-starter with demonstrated experience working on large, complex problems.
You care deeply about engineering excellence, clean code, and knowledge-sharing.
You have strong written and verbal communication skills.
Nice to have, but not required
Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe).
Experience with container technologies like Docker and Kubernetes.
Technologies we love to use at Altana
Languages: Python, PySpark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery
Datastores: Databricks and Delta Lakes
This role can be based in any of our Altana hub locations, with hybrid work flexibility: New York City or San Francisco, CA
- We love to collaborate, and we win as a team!
- We are committed to engineering excellence
- We value personal and professional development
- We learn from diverse backgrounds and perspectives
- We impact the world, from enabling developing countries to identifying drug traffickers
At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.
Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process.
Top Skills
Altana San Francisco, California, USA Office
San Francisco, California , United States
Similar Jobs at Altana
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
