Backend Infrastructure Engineer – Scalable Data Systems

Palantir Technologies; Greater London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading software company in Greater London is seeking a Backend Software Engineer to develop scalable systems that drive data efficiency. This role demands strong coding skills in languages like Java and C++, and the ability to work collaboratively on innovative solutions. You will contribute to high-stakes projects and have the chance to engage with customers through the exclusive Frontline program. The position offers opportunities for growth and a dynamic work environment that emphasizes collaboration and continuous learning.

Benefits

Flexible working hours

Health and wellbeing programs

Opportunities for professional growth

Qualifications

• Engineering background in Computer Science, Mathematics or related field.
• Strong coding skills, proficiency in Java, C++, Python or similar.
• Familiarity with storage, data processing systems, cloud infrastructure.

Responsibilities

• Build search and indexing systems for complex data.
• Contribute to open-source data processing libraries.
• Design scalable distributed systems for large workloads.
• Automate management of distributed systems across environments.

Skills

Collaboration

Problem-solving

Coding in Java

Distributed Systems

Performance Optimization

Education

Degree in Computer Science, Mathematics, or related field

Tools

Java

C++

Python

Cassandra

Elasticsearch

Kubernetes

Job description

A leading software company in Greater London is seeking a Backend Software Engineer to develop scalable systems that drive data efficiency. This role demands strong coding skills in languages like Java and C++, and the ability to work collaboratively on innovative solutions. You will contribute to high-stakes projects and have the chance to engage with customers through the exclusive Frontline program. The position offers opportunities for growth and a dynamic work environment that emphasizes collaboration and continuous learning.