Senior Back-End Software Engineer

Verisk Analytics; Bolton; Hybrid; GBP 85,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Verisk Analytics is seeking a highly experienced Senior Backend Software Engineer to lead the design and delivery of scalable, secure, and resilient backend services. You will influence architectural direction, mentor engineers, and champion modern engineering practices, including AI-assisted software development, within a hybrid-work environment in the UK.

The role emphasizes hands-on development, technical leadership, and collaboration with cross-functional teams to deliver high-quality

Qualifications

• 10+ years of commercial software engineering experience with a backend focus.
• Expert-level proficiency in C# and .NET.
• Experience designing, building, and supporting scalable APIs, services, and distributed systems.
• Proven track record of delivering secure, resilient, high-performance software in production.
• Strong understanding of software architecture, design patterns, and engineering best practices.
• Experience with cloud platforms, ideally Microsoft Azure.
• Relational databases expertise, including SQL Server and PostgreSQL.
• Knowledge of CI/CD pipelines, automated testing, and modern deployment approaches.
• Understanding of secure software development principles and application security.
• Experience mentoring engineers and leading technical initiatives.

Responsibilities

• Design, develop, and deliver complex back-end services, APIs, and distributed systems powering critical applications.
• Lead the technical delivery of strategic initiatives from concept to production deployment.
• Drive architectural decisions to improve scalability, maintainability, reliability, security, and performance.
• Champion AI-assisted engineering practices across the SDLC.
• Translate business requirements into technical solutions, estimates, and delivery plans.
• Design and implement robust APIs, microservices, and data-driven solutions.
• Identify and mitigate technical risks and delivery challenges.
• Conduct code and design reviews to uphold engineering standards.
• Define and improve testing, observability, and operational excellence practices.
• Investigate production issues and drive continuous improvement through root-cause analysis.

Skills

C# & .NET

Backend architecture

Azure

Kubernetes

REST APIs

Microservices

CI/CD

Security & reliability

AI-assisted development

Mentoring

Tools

GitHub

Grafana

SQL Server

PostgreSQL

Azure DevOps / GitHub Actions

Job description

Job Descriptionhackajob is partnering directly with Verisk Analytics to hire for this role.Description At VeriskIgnite, we build innovative technology solutions that help our customers make better decisions through data, analytics, and software. We are looking for a highly experienced SeniorBack-EndSoftwareEngineer to join our growing engineering team and play a key role in designing and delivering scalable, secure, and resilient software platforms.This is a senior technical position suited to an engineer with 10+yearsofcommercialsoftwaredevelopmentexperience who is passionate about backend architecture, engineering excellence, and team development. You'll be responsible for leading complex technical initiatives, influencing architectural direction, and mentoring engineers across the organization.This role is an excellent opportunity for someone looking to take the next step toward a future PrincipalEngineer position. Beyond hands-on development, you'll act as a technical leader,helping shape engineering standards, supporting the growth of other engineers, and driving the adoption of modern engineering practices, including AI-assisted software development.#LI-SD2 #LI-Hybrid

Responsibilities

• Design, develop, and deliver complex back-end services, APIs, and distributed systems that power business-critical and customer-facing applications.
• Lead the technical delivery of strategic initiatives from concept through production deployment.
• Drive architectural decisions that improve scalability, maintainability, reliability, security, and performance.
• Champion the adoption of AI-assisted engineering practices, leveraging tools such as GitHub Copilot and agentic workflows throughout the software development lifecycle.
• Translate business requirements into technical solutions, estimates, and delivery plans.
• Design and implement robust APIs, microservices, and data-driven solutions.
• Identify and mitigate technical risks, dependencies, and delivery challenges.
• Conduct code reviews and design reviews to ensure high engineering standards across teams.
• Define and improve best practices for testing, observability, performance, reliability, and operational excellence.
• Investigate complex production issues and drive continuous improvement through root-cause analysis.
• Ensure solutions meet security, compliance, reliability, and performance requirements.
• Serve as a senior technical mentor for engineers across the organization, providing coaching, guidance, and hands-on support to accelerate individual and team growth.
• Partner with Engineering Managers and technical leaders to help develop engineering capability, career progression frameworks, and technical excellence initiatives.
• Lead by example in promoting a culture of collaboration, ownership, continuous improvement, and knowledge sharing.
• Create and maintain clear technical documentation.

Technology environment

• C# / .NET
• Microsoft Azure
• Kubernetes
• GitHub & GitHub Actions
• SQL Server & PostgreSQL
• REST APIs & Microservices
• Event-Driven Architectures
• Grafana
• AI-assisted development tools, including GitHub Copilot

Qualifications Required

• 10+yearsofcommercialsoftwareengineeringexperience, with a strong focus on back-end development.
• Expert-level proficiency in C#and.NET.
• Extensive experience designing, building, and supporting scalable APIs, services, and distributed systems.
• Proven experience delivering secure, resilient, high-performance software solutions in production environments.
• Strong understanding of software architecture, design patterns, and engineering best practices.
• Experience working with cloud platforms, ideally MicrosoftAzure.
• Strong experience with relational databases, data modelling, and query optimisation, ideally with SQLServer and PostgreSQL.
• Solid knowledge of CI/CD pipelines, automated testing, and modern deployment approaches.
• Strong understanding of secure software development principles and application security.
• Demonstrated experience leading technical initiatives and influencing engineering direction.
• Significant experience mentoring and developing engineers at different stages of their careers.
• Strong communication skills with the ability to engage effectively with technical and non-technical stakeholders.
• Hands-on experience using AI-assisted development tools to improve software delivery, quality and productivity.
• Nice to have: Experience with Azure Service Bus, Kafka, or similar messaging technologies.
• Knowledge of Infrastructure as Code (IaC) and GitOps practices.
• Experience operating containerized workloads on Kubernetes.
• Exposure to front-end technologies such as TypeScript, Vue.js, or modern JavaScript frameworks.
• Experience implementing monitoring, observability, and operational tooling.

What success looks like

• Delivering scalable, secure, and resilient backend services that support Verisk Ignite's products and customers.
• Driving strategic architectural decisions that enable sustainable growth and long-term maintainability.
• Building high-performing engineering teams through mentoring, coaching, and technical leadership.
• Establishing and promoting engineering best practices across projects and teams.
• Improving development efficiency through thoughtful adoption of AI-assisted engineering practices.
• Raising the technical capability of the organization through knowledge sharing and leadership.
• Being recognized as a trusted technical leader with a clear path toward a future PrincipalEngineer role.
• Balancing delivery speed with long-term quality, reliability, and scalability.

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