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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Backend - **Company:** Fitch Group - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Computing Platforms, Automation of Tests, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Data Security, Relational Databases, Distributed Systems, Amazon DynamoDB, Github, Interoperability, Python (Programming Language), Enterprise Messaging Systems, MongoDB, NoSQL, Octopus Deploy, Redis, Software Engineering, Data Streaming, Enterprise Data Management, Cloud Platform System, GitHub Copilot, Spring-boot, Caching, Generative AI, Backend, Fastapi, Event Driven Architecture, Data Lakes, Solid Principles, Kubernetes, Information Technology, Apache Kafka, Data Management, Restful APIs, Terraform, Sql Tuning, Devsecops, Docker, Microservices - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840588934-senior-software-engineer-backend ## About the Role * Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience. * 8+ years of software engineering experience with at least 3-5 years leading teams of highly technical engineers. * Demonstrated experience delivering enterprise-scale software platforms, APIs, and distributed systems. * Strong proficiency in C++, Java (Spring Boot), and/or Python (FastAPI or similar), with the ability to guide engineering teams on architecture, design, and implementation. * Experience designing, building, and supporting RESTful APIs and microservices-based architectures. * Strong understanding of cloud-native architectures and hands-on experience with AWS services. * Experience working with relational databases and data access patterns, including SQL performance tuning and optimization. * Solid understanding of software design principles, distributed systems, event-driven architectures, scalability, reliability, and security. * Experience implementing automated testing strategies and modern CI/CD pipelines. * Proven ability to lead technical teams, influence architecture decisions, and drive delivery in Agile environments. * Strong communication skills with the ability to translate technical concepts for business and executive stakeholders. * Experience leveraging AI-assisted development tools such as GitHub Copilot, Amazon Q, or similar technologies to improve engineering productivity., * Experience building cloud-native solutions using Kubernetes/EKS, Docker, and Infrastructure-as-Code. * Experience with event streaming and messaging platforms such as Kafka, MSK, or EventBridge. * Experience with caching technologies including Redis or Valkey. * Experience with NoSQL databases such as MongoDB or DynamoDB. * Experience working with C#/.NET applications and services. * Experience working in financial services, regulated environments, or data-intensive platforms. * Background in data engineering, data platforms, analytics ecosystems, or data lake/lakehouse architectures. * Experience implementing CI/CD workflows using GitHub Actions, ArgoCD, Terraform, or similar tools. * Experience evaluating and adopting emerging technologies, including build-vs-buy decisions. * Hands-on experience building AI agents using frameworks such as LangGraph, LangChain, or LlamaIndex. * Experience implementing Retrieval-Augmented Generation (RAG) solutions and governance controls for enterprise AI applications. * Experience using agentic AI to automate engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring. * Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks. * Experience influencing technical strategy across multiple teams and driving organization-wide engineering improvements. ## Description * Lead and mentor a high-performing software engineering team, fostering technical excellence, accountability, and career development while delivering scalable, secure, and business-aligned solutions. * Partner with Data Product, CDO, Architecture, and Business leaders to define and execute the technical strategy for cloud-native platforms and data-driven products. * Provide hands-on technical leadership for the design, development, and delivery of modern backend services, APIs, and distributed systems. * Drive architecture decisions, establish engineering standards, and champion best practices for scalability, reliability, security, and maintainability. * Guide engineering teams in building and integrating services that enable seamless access to enterprise data platforms and business capabilities. * Collaborate closely with product owners and cross-functional stakeholders to prioritize work, align technical investments, and achieve business outcomes. * Ensure high-quality software delivery through automated testing, code reviews, observability, and engineering governance. * Lead resolution of complex technical and operational challenges while improving platform performance, resiliency, and operational excellence. * Champion DevSecOps, CI/CD, and automation practices to accelerate delivery and improve engineering efficiency. * Evaluate and adopt emerging technologies, including AI-enabled engineering capabilities, to drive innovation and productivity across the organization. ## Related Videos - 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