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Platform Backend Engineer
- San Francisco, California, United States
- San Francisco, California, United States
Über
Competitive Salary + Stock Options
Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending Account (includes spouse + children)
Flexible Vacation Policy
Adaptable Working Schedule and Environment
Casual Dress Attire
Hybrid work flexibility
Catered Lunches, Snacks and Beverages
Commuter Savings Program
Company Outings
Designated Volunteering Hours + Group Volunteer Events
About the Role As a Platform Backend Engineer, you’ll work on the core systems that ingest, model, and serve factory data, building and maintaining the infrastructure that powers real‑time AI insights at industrial scale. You’ll write code that runs in production and ships fast.
The position is open to candidates who already have a strong portfolio and proven ability to ship code; experience of five years is not required. The role is ideal for someone early in their career who has already built and deployed software.
What You’ll Actually Work On
Building and optimizing ETL pipelines that ingest streaming sensor data from factory equipment at high volume and low latency.
Designing and maintaining backend services that power real‑time dashboards and AI model outputs used by plant operators and manufacturing executives.
Contributing to the automation and alerting layer of the platform, using AI tools to help detect issues before clients do.
Working on data modeling problems at the intersection of operational technology (OT) and modern data infrastructure, translating messy, heterogeneous factory data into a clean, queryable model.
Collaborating with forward‑deployed engineers embedded at client sites to understand real‑world constraints and bring those insights back into the platform.
What We’re Looking For
A portfolio you’re proud of: side projects, open‑source contributions, AI‑powered tools you built.
Real fluency with AI development tools such as agentic workflows, LLM‑assisted pipelines, or tools built on top of AI APIs.
2+ years of professional software engineering experience, or less if your work speaks for itself.
Python as your primary language, with solid working knowledge of at least one other high‑level language.
Strong foundations in data structures and algorithms, with exposure to distributed systems.
Experience with relational and NoSQL databases (MongoDB and PostgreSQL preferred).
Comfort with Unix/Linux environments.
Experience shipping code in a mature codebase and navigating inherited architecture without breaking existing functionality.
Clear, direct communication.
Nice to Have
Experience with Azure Cloud.
Exposure to ETL or large‑scale data ingestion.
Familiarity with statistical technologies such as R.
Any exposure to Industrial IoT, manufacturing systems, or OT environments.
An active GitHub profile that tells a story about what you care about building.
Growth & Mentorship We’re building a team that takes craft seriously. You’ll work alongside engineers who push back in code reviews, pair on hard problems, and genuinely invest in your growth. You’ll have access to mentorship, code reviews, and the opportunity to shape the platform.
Engineers who ship, learn fast, and bring energy move quickly here. If you have a sense of where you want to be in two years, we want to help you get there.
Sight Machine is committed to being an equal opportunity employer. We consider candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Sprachkenntnisse
- English
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