Senior Backend Engineer, Lightsonic

Full time, Product Team

£60-90k

+ Performance-based bonus scheme & eligible for company ESOP scheme

SQL

Python

Azure

PyTorch

Mid, Senior and Expert level

Remote from UK

More information about location

Building the future of smart infrastructure monitoring

Open for applications

Building the future of smart infrastructure monitoring

1-20 employees

B2BArtificial IntelligenceSustainabilityBig dataDeep TechInternet of Things

Open for applications

£60-90k

+ Performance-based bonus scheme & eligible for company ESOP scheme

SQL

Python

Azure

PyTorch

Mid, Senior and Expert level

Remote from UK

More information about location

1-20 employees

B2BArtificial IntelligenceSustainabilityBig dataDeep TechInternet of Things

Company mission

Lightsonic is building the future of smart infrastructure monitoring through ML-powered solutions that integrate with urban technology stacks. Our disruptive technology helps preserve and optimise natural resources, reduce carbon emissions, and protect critical infrastructure, starting with our innovative approach to water leak detection.

Job

Company

Role

Who you are

Someone excited about creating positive environmental impact through technology and motivated by solving real-world problems that matter
Team player who thrives in collaborative environments, working effectively with both technical and non-technical stakeholders
Adaptable individual who embraces the dynamic nature of a startup, adjusting to evolving objectives and enjoying direct interaction with our customers
Backend software engineer with 4+ years of experience building scalable, reliable systems (experience with data pipelines highly valued)
Professional with a Bachelor's degree or higher in a STEM field (Computer Science, Engineering, Mathematics, Physics, or related technical discipline)
Strong developer with proficiency in Python and SQL who applies rigorous software engineering practices (testing, CI/CD, code quality)
Familiarity with data orchestration frameworks (e.g. Dagster, Airflow) and data processing tools (e.g. dbt, Dask, Polars)
Applicants must have the legal right to work in the UK or Norway, as applicable to the role location

Desirable

Experience with IoT data processing or edge computing environments
Familiarity with time-series data and acoustic signal processing
Direct experience with elements of our technology stack (Azure IoT Edge, Azure Storage, dbt, Apache Iceberg, Trino, Dagster, Dask)
Experience working with data versioning and metadata management
Experience with ML model deployment and working closely with ML engineers
Background in utilities or infrastructure monitoring industries

What the job involves

As one of our engineers, you will build and own the data infrastructure systems that power our leak detection platform
You'll design and implement scalable systems that process 100s TB of sensor data using modern frameworks and serverless compute
Provide technical leadership on building robust, testable data pipelines with comprehensive monitoring
Build the backend systems that enable our ML algorithms to operate efficiently at scale, working closely with ML engineers on model deployment
Work with complex, multi-dimensional time-series data, designing systems that reliably process and store this information
Your systems will directly power water utilities' leak detection capabilities, creating tangible environmental impact
As an early technical hire, you'll shape our engineering culture and technical architecture while sharing in the company's success

Application process

1. Apply with your profile
2. Video call with internal recruiter
3. Behavioural Interview
4. Technical Interview

Our take

Keeping tabs on underground cables and pipes is tough work and leaks, tampering, and damage can often go unnoticed, leading to big problems. Because of this, traditional monitoring tools are often not ideal, making work expensive and hard to scale.

Lightsonic is stepping in to fix this issue with its software that turns existing fiber optic cables into real-time sensors using AI (no new hardware needed!). It spots issues like gas leaks or intrusions quickly and across wide areas so cities and industries can focus on what matters most, keeping people safe and systems running smoothly.

In 2025, the company raised substantial funding, too. With this, it's growing its team and rolling out across Europe, and with big backing, it's set to shake up how cities and industries manage their infrastructure.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

May 2025

$3.9m

SEED

Total funding: $3.9m

Company benefits

Fast-paced and team-oriented environment where you will be instrumental in the direction of the company
Remote first
Life assurance and Bupa medical insurance
25 days holiday per year
Home office setup allowance
Eligible for company ESOP scheme

Company HQ

71-75 Shelton Street, Covent Garden, London, WC2H 9JQ, UK

Leadership

Tommy Lagnes

(Co-Founder & CEO)

Previously co-founded LYTT where the served as an Executive Director, Chief Business Development Officer, and Interim CEO. Prior to that, they spent 7 years at BP, nearly 5 years at Shell Oil Company, and nearly 7 years at Norsk Hydro.

James Ramsay

(Co-Founder & CTO)

Previously spent 5 years at LYTT, joining as a Data Scientist before becoming a Technical Product Owner and then Platform Architect. Prior to that, they spent nearly 6 years at ERC Equipoise as in Reservoir Engineer roles.

Glynn Lockyer

(Co-Founder & Head of Product)

Previously spent 4 years at LYTT as a Business Developer and Water Business Lead. Prior to that, they spent nearly 6 years at Archer as a Technical Sales Engineer and Business Development Manager (UK and Africa), and 3 years at GE Oil & Gas as a Sales Manager.

Thomas Coleman

(Co-Founder & Head of Commercial)

Previously co-founded Spacetowork where they served as the CEO. They also worked at LYTT as a Global Account Director and spent over 8 years at BP in a number of roles, including Strategy Programme Manager (Europe) and Head of Sales (UK).

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