Jaipur Robotics
Website:
jaipurrobotics.com
Company:
https://www.linkedin.com/company/jaipurrobotics
Seniority: Mid-Senior level
Industries: Robotics Engineering
Job details:
Location: Remote (availability to work in the CET timezone)
About the jobWho we are
At Jaipur Robotics, we envision a future where data from waste is abundant, driving automation and digital transformation across the waste industry. We’re developing cutting-edge intelligent solutions that are revolutionising operational pipelines for the European waste sector, unlocking efficiencies, and fostering sustainability at scale.
As a fast-growing, VC-backed clean-tech Swiss startup, we’re attracting top talent who are excited to work at the intersection of AI, automation, and environmental impact. Our team is passionate, driven, and on a mission to make a meaningful difference – and we’re looking for a talented, motivated, and experienced Senior AI Platform Engineer to join us. We need someone who thrives in a dynamic startup environment and is ready to take ownership of our backend and cloud infrastructure to drive projects forward.
What we offer
- Play a leading role in shaping our technical infrastructure, backend architecture, and product success as an early, senior engineering hire.
- Enjoy an attractive compensation.
- Work closely with experienced founders in a dynamic startup environment.
- Build and scale cutting-edge AI systems with a direct impact on sustainability.
- Significant autonomy and ownership in a core area of the business.
Key Responsibilities- Backend & API Development: Design, build, and maintain robust, high-performance backend services and APIs using Python and FastAPI. Serve ML model inferences, manage background task processing, and ensure seamless data flow to responsive UI frontend teams.
- Cost-Optimized GCP Infrastructure: Architect, implement, and manage scalable cloud infrastructure exclusively on Google Cloud Platform (GCP). Proactively monitor cloud usage, right-size resources, and implement best practices to maintain a highly cost-optimized environment without sacrificing performance.
- CI/CD & Containerization: Own the deployment lifecycle. Build, maintain, and secure robust CI/CD pipelines to ensure fast, automated, and reliable releases. Utilize Docker extensively for containerizing applications and standardizing environments from local development to production.
- Monitoring, Logging & Alerting: Design and implement comprehensive observability suites. Set up proactive monitoring and alerting (e.g., GCP Cloud Monitoring, Prometheus, Datadog) to ensure system health, track performance bottlenecks, and trigger automated rollbacks during incidents.
- Data & ML Pipeline Support: Manage cloud data storage, database systems, and messaging/queuing systems that power our image/video processing and ML pipelines.
- Security & Best Practices: Manage secrets securely, oversee access control, and advocate for Platform/MLOps software engineering best practices across the team.
Requirements- 5+ years of proven experience in Backend Engineering, Platform Engineering, Cloud Infrastructure, or MLOps.
- Backend Mastery: Expert-level proficiency in Python with deep, hands-on experience building production-grade APIs and microservices using FastAPI.
- Cloud Infrastructure: Extensive experience with GCP. You must know how to architect for scale while strictly managing and optimizing cloud costs (e.g., utilizing Spot VMs, optimizing Cloud Run/GKE, lifecycle management).
- DevOps & Automation: Strong practical experience with containerization (Docker) and designing fully automated CI/CD pipelines (e.g., GitHub Actions, GitLab CI).
- Observability: Proven track record of configuring and managing monitoring, logging, and alerting tools to maintain highly available systems and respond to production incidents.
- Infrastructure as Code: Hands-on experience with IaC tools (e.g., Terraform) to manage cloud resources reproducibly.
- Engineering Fundamentals: Solid understanding of software engineering best practices (testing, version control, clean code architecture) and database design.
- Startup DNA: Ability to work independently, take initiative, own projects end-to-end, and drive them to completion in a fast-paced, evolving environment.
Nice to Have- Experience with GCP-specific container orchestration (Google Kubernetes Engine or Cloud Run).
- Experience with high-availability systems and real-time video/image data processing pipelines.
- Mild familiarity with Go (Golang) and/or JavaScript (JS/TypeScript).
- Experience scaling systems and processes within a startup environment, ideally seeing growth from Seed to Series A stages.
Click on Apply to know more.
