Prisma Photonics, a fast-growing startup, transforms infrastructure monitoring with optical fibers. We eliminate the need for extra sensors by offering sensor-free solutions to monitor electrical power grids and oil & gas pipelines across thousands of kilometers.
Our fiber-sensing technology, integrated with AI and machine learning, enables our customers to achieve environmental and renewable energy targets, ensuring smooth utility operations on their path to net-zero emissions.
We are looking for the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for good causes. Being a great team member means being eager to learn and grow, able to challenge while accepting being challenged, and working for the team and the product with enthusiasm and passion.
We are now hiring a Senior Backend Engineer to design, build, and own significant parts of our system — from the edge platform that runs our 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.
What you'll do:
Design, develop, test, deploy, and maintain backend services and platform components across edge and cloud.
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 other teams — algorithms, hardware, DevOps, and product — on cross-cutting requirements and integrations.
Maintain high standards of software quality through code review, testing, and shared engineering practices, and mentor engineers on the team.
What you bring:
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 style 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), and large-scale time-series or telemetry data.
Experience with edge or on-premise deployments and lightweight Kubernetes distributions (k3s), including 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.
