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Prisma Photonics is a fast-growing startup transforming infrastructure monitoring with optical fiber sensing technology. The company eliminates the need for extra sensors by offering sensor-free solutions to monitor electrical power grids and oil & gas pipelines across thousands of kilometers. Their fiber-sensing technology, integrated with AI and machine learning, enables customers to achieve environmental and renewable energy targets while ensuring smooth utility operations on the path to net-zero emissions.
As Senior Backend Engineer, you will design, build, and own significant parts of the system—from the edge platform that runs sensing and processing workloads in the field, through to the cloud services and data pipelines that turn that output into customer-facing insight. This is a hands-on role with real ownership: you will make design decisions, drive them to production, and be a technical anchor for the people around you.
Key responsibilities include:
- Design, develop, test, deploy, and maintain backend services and platform components across edge and cloud environments
- Own features end to end—from requirements and design through deployment, monitoring, and long-term maintenance
- Build and improve the data path: ingestion, processing, and delivery of high-volume time-series sensing data
- Troubleshoot production and field issues across the stack, and turn root causes into durable fixes
- Collaborate with algorithms, hardware, DevOps, and product teams on cross-cutting requirements and integrations
- Maintain high standards of software quality through code review, testing, and shared engineering practices
- Mentor engineers on the team
Requirements:
- BSc in Computer Science, Computer Engineering, or equivalent
- 5+ years of experience in backend and system software development of complex systems
- Highly proficient in Python
- Solid experience building and operating services in a cloud environment (AWS preferred)
- Hands-on experience with containers and orchestration (Docker and Kubernetes)
- Experience with data stores and messaging at production scale (relational or NoSQL databases and message brokers)
- Experience taking ownership of a system in production, including deployment, observability, and on-call debugging
- Excellent English communication skills, both verbal and written
Great to Have:
- Specific technologies: Ansible, Jenkins, RabbitMQ, MongoDB, Helm, Terraform
- Experience with data engineering: ETL/streaming pipelines, workflow orchestration (e.g., Airflow), large-scale time-series or telemetry data
- Experience with edge or on-premise deployments and lightweight Kubernetes distributions (k3s), fleet management, and GitOps
- Experience with C++
- Experience in projects that include algorithms and ML
- Experience with HPC/CUDA and GPU workload scheduling
- Familiarity with CI/CD and testing automation tools
