Backend Tech Lead- DLR

Description

About us:

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 hiring a Backend Tech Lead, the Backend tech lead role will be responsible for technically leading the strategic domain of Dynamic Line Rating (DLR), bringing massive real-world value to our customers in the power industry.

The scope of the position includes many SW components and APIs; compute-heavy logic, data/ML pipelines, databases, monitoring dashboards, and various integrations and reporting tools. You will be key in re-designing an existing complex system to a modern cloud-native design, integrating it into other systems, and adapting it to support both cloud and on-premises deployments.

What is Dynamic Line Rating (DLR)?

Prisma utilizes state-of-the-art machine learning technology to transform optic-fibers into accurate acoustic sensors. The sensor data is used to produce accurate wind measurements for our customers in the power transmission industry. Those wind predictions are central to generating Real-Time Thermal Rating (RTTR), allowing them to maximize power-grid load without compromising safety and infrastructure integrity.

Learn more about PrismaCapacity.

Responsibilities:

• Backend Software Engineering: Be a top notch SW engineer, harnessing your coding and architectural skills, as well as researching skills across the entire stack. You are expected to be hand-on (>50%), set and maintain coding standards, as well as communicate your plans and ideas via technical documentation and design diagrams.
• Collaboration and technical leadership: You will partner with an internal architect and lead an outsourced team of software engineers to drive the project and technology stack. Work closely with PMs and data analysts, set and foster technical standards, and maintain excellent technical standards for all components involved.
• System design and architecture - Design, make technical decisions, own code, plan and implement features for the system. You will work within complex constraints and a variety of technologies. The restructuring of the system must be forward facing, setting the technology, tools and design as a robust, long-term, core part of our system.

Requirements

• Bachelor's degree in CS in software engineering or equivalent background.
• SWE Experience: 8+ years of hands-on experience in backend engineering (significant Python experience).
• Broad understanding of complex and multi-component systems - experience with inter-component messaging, multiple DBs, micro-services, scaling considerations, etc
• Containerization & Orchestration: Experience and solid knowledge of Docker, containerization technologies and Kubernetes.
• Cloud Systems: 3+ years of platform/cloud engineering and working with cloud infrastructure (AWS advantage).
• Startup Experience: Previous experience in a fast-paced startup environment, where adaptability and hands-on execution are key.
• Team Player: Strong communication skills and ability to work cross-functionally with different teams and functions within the company.

Nice-To-Have

• ML Infrastructure: Experience supporting machine learning pipelines and deploying ML models to production environments.
• Data Engineering: Experience with data engineering tools, pipelines, unstructured data, and high throughput data systems.
• Serverless Architectures: Experience with serverless technologies such as AWS Lambda, GCP Functions, or Azure Functions.
• Critical infrastructure: Experience working with or for national/critical infrastructure companies; power, oil and gas, water utilities