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Est. Monthly
Estimated €5,505 - €15,737
Posted August 7, 2026 · 0 days agoLast seen August 7, 2026Est. expiry September 11, 2026

Software Engineer

Lead / Senior Software Engineer
London, United Kingdom
Hybrid · Software Engineering
Full-time · Senior
English
No People Management
Bachelor
6 years experience
How this salary compares
Salary Context: Software Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("In London, United Kingdom: Software Engineer"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€5,505–€15,737). The offer's range width is broadly in line with the benchmark. This benchmark is based on 1 comparable listings.

Monthly salary comparison for Software Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Software Engineer€3,500/per month€5,750/per month€12,307/per month
In London, United Kingdom: Software Engineer€5,505/per month€10,621/per month€15,737/per month
Pay in our data — not quoted in ad (Senior)€459/per month€885/per month€1,311/per month
About the role

We are looking for a talented Lead/Senior Software Engineer to join our Enterprise Asset Management team and play a leading role in designing, building and evolving modern enterprise software. You'll help deliver scalable, secure and high-quality software that solves complex customer challenges while applying modern engineering practices and AI capabilities where they create genuine business value. We're looking for experienced Lead/Senior Software Engineers who have built and shipped complex production systems and who understand how emerging AI technologies can be successfully integrated into enterprise products. This is not an AI research or AI platform engineering role. Instead, you'll work on real customer problems, building domain-driven software where AI enhances product capabilities and customer outcomes. Technical Skills Required: - Strong hands-on experience with Go and modern backend development, ideally alongside TypeScript/Node.js. - Experience designing and building distributed systems, microservices and RESTful APIs. - Strong understanding of Domain-Driven Design (DDD), bounded contexts, event-driven architecture and service decomposition. - Experience building scalable cloud-native applications using technologies such as Kubernetes, Kafka, Redpanda, PostgreSQL and MongoDB. - Experience working with AWS and/or Azure. - Strong understanding of CI/CD, automated testing, observability and production operations. - Experience designing secure software, authentication and authorisation mechanisms and applying DevSecOps principles. - Experience integrating AI capabilities into production software to solve real customer or business problems. - Hands-on experience working with Large Language Models (LLMs) within enterprise applications. - Understanding of modern AI application patterns such as Retrieval-Augmented Generation (RAG), tool calling, prompt engineering and agentic workflows. Qualifications: - A degree in Computer Science, Software Engineering or Information Technology along with minimum 6 years' experience in a similar role. - Excellent communication and multi-tasking skills along with an innovative mindset.

Job Details

Responsibilities

  • Design, build and evolve modern enterprise software for Enterprise Asset Management
  • Deliver scalable, secure and high-quality software
  • Integrate AI capabilities and LLMs to solve customer challenges
  • Mentor engineers and drive engineering excellence
  • Collaborate with Product, Design and Engineering teams
  • Apply Domain-Driven Design and event-driven architecture
  • Maintain engineering standards and remove blockers

Requirements

  • Degree in Computer Science, Software Engineering or Information Technology
  • Minimum 6 years' experience in a similar role
  • Strong hands-on experience with Go
  • Experience with TypeScript/Node.js
  • Experience designing distributed systems and microservices
  • Understanding of Domain-Driven Design (DDD)
  • Experience with Kubernetes, Kafka, Redpanda, PostgreSQL and MongoDB
  • Experience with AWS and/or Azure
  • Experience integrating AI capabilities and LLMs into production software
  • Understanding of RAG, tool calling, and agentic workflows

Skills & Technologies

GoTypeScriptNode.jsKubernetesKafkaRedpandaPostgreSQLMongoDBAWSAzureLLMRAGDomain-Driven DesignRESTful APIsCI/CDDevSecOps

Education Level

Bachelor
Seen 22 hours agoContent Complete
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