Senior Technical Support Engineer, Quantexa

Salary not provided

+ Company bonus

SQL

AWS

Docker

Kubernetes

TypeScript

GCP

Python

Scala

Java

Elasticsearch

Gradle

Jenkins

Azure

Spark

Maven

Git

SpringBoot

REST API

Senior and Expert level

London

2+ days a week in office (Waterloo, London)

Helping businesses spot criminal activity in their data

Be an early applicant

Helping businesses spot criminal activity in their data

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalytics

Be an early applicant

Salary not provided

+ Company bonus

SQL

AWS

Docker

Kubernetes

TypeScript

GCP

Python

Scala

Java

Elasticsearch

Gradle

Jenkins

Azure

Spark

Maven

Git

SpringBoot

REST API

Senior and Expert level

London

2+ days a week in office (Waterloo, London)

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalytics

Company mission

To bring innovation and confidence in decision-making to every industry in the world by driving the switch to contextual data.

Job

Company

Role

Who you are

Experience in a customer-facing technical support role, working directly with both technical and non-technical customers to diagnose and solve issues for high-profile clients against SLAs
Strong problem-solving and analytical skills; interpret documentation, logs and reproduce customer issues
Skilled in reading and interpreting code for effective issue analysis and troubleshooting
Hands-on experience with modern web application technologies (must-have)
Excellent customer service and clear, concise documentation skills
Ability to work independently and collaboratively in a fast-paced environment
Customer-centric mindset with a proactive approach to issue resolution
Demonstrated accountability and ownership in resolving issues and driving continuous improvement
Experience with JVM-based web applications (Quantexa uses Scala on the backend and TypeScript on the frontend)
Familiarity with REST APIs, SQL databases, Elasticsearch, Spring Boot, or Apache Spark
Knowledge of containerized deployments such as Docker, Kubernetes, or OpenShift
Cloud environnements (e.g., AWS, GCP, Azure)
Proficiency with build tools (Gradle, Maven), package managers (NPM), command-line interfaces on cloud/remote systems, Git workflows, and CI/CD tools like Jenkins
Proficiency in at least one programming language: Java, Scala, Python
Basic understanding of AI and machine learning concepts to support intelligent data processing and troubleshoot related platform components

Desirable

Proven incident management skills, with the ability to manage the support lifecycle independently
Experience in enterprise software support or client-facing technical roles

What the job involves

As a Technical Support Engineer, you will be the frontline of our customer success, providing expert-level support for Quantexa’s platform and solutions. You’ll work closely with client developers, engineering, and product teams to troubleshoot issues, deliver timely resolutions, and contribute to the continuous improvement of support processes
Provide Tier 2/3 technical support for Quantexa’s platform, including data ingestion, entity resolution, and graph analytics
Diagnose and resolve complex technical issues across distributed systems, APIs, and data pipelines
Collaborate with engineering and product teams to escalate and resolve development challenges, bugs or feature requests
Maintain detailed documentation of issues, solutions, and best practices
Participate in on-call rotations and ensure Support SLAs are met
Contribute to knowledge base articles and internal tooling improvements
Support client onboarding and integration efforts when needed

Salary benchmarks

Our take

Quantexa specialises in data connectivity, offering companies a vital tool to streamline their information. By bringing together diverse data sets and enhancing internal information with external resources, it enables organisations to generate valuable insights, facilitating more informed decision-making processes.

Since its inception in 2016, Quantexa has experienced exponential growth, establishing a global presence with offices spanning various continents. Its clientele includes prestigious names such as HSBC and Shell, underscoring its reputation as a trusted partner in the realm of data analysis and interpretation.

Enterprises today recognise the untapped potential within their data repositories, yet many lack the in-house expertise to effectively leverage this resource. Quantexta fills this gap, as evidenced by its strategic collaboration with the British government's Public Sector Fraud Authority, securing a Lucrative £4M contract in 2023. Through this alliance, Quantexa aims to combat fraud within the public sector by applying its advanced analytical capabilities to identify and address fraudulent activities.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

25% female employees

19% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 6 rounds)

Mar 2025

$175m

SERIES F

Apr 2023

$129m

SERIES E

Total funding: $545m

Company benefits

Pension Scheme with a company contribution of 6% (if you contribute 3%)
25 days annual leave (with the option to buy up to 5 days) + birthday off!
Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts
Tech & Cycle-to-Work Schemes

Company HQ

Waterloo, London, UK

Leadership

Vishal Marria

(CEO)

Previously an Executive Director at EY, and Director of Financial Services at BAE.

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