Senior Cloud Engineer

AI in this role

claudecopilotcursor

prompt-engineering

Job Type:

Permanent

Build a brilliant future with Hiscox

About the Role

The Senior Cloud Engineer will play a key role in designing, building, and maintaining our cloud infrastructure. This role focuses on hands-on engineering work while also providing technical guidance to other engineers on the team. The ideal candidate will partner with product owners, tech leaders, and software engineers to deliver reliable, secure, and cost-effective cloud solutions.

You will bring strong technical depth, excellent problem-solving skills, and a collaborative mindset. You are comfortable working in agile environments, mentoring peers, and driving improvements across the platform.

Key Responsibility Areas

Cloud Infrastructure Management

Design, implement, and maintain cloud infrastructure to ensure high availability, performance, and security.
Architect cloud solutions for new and existing workloads, making sound technical decisions on services and patterns.
Implement and manage cloud security measures including network configurations, firewalls, and access control.
Monitor and analyze cloud system performance, troubleshooting and resolving issues proactively.
Analyze cloud usage patterns and recommend optimizations to reduce spending.
Implement security policies and ensure compliance with data privacy regulations.

Collaboration and Coordination

Work closely with the Lead Cloud Engineer and cross-functional teams to align infrastructure with business needs.
Coordinate with other Technology teams to ensure seamless integration and operation of cloud services.
Provide technical mentorship and guidance to cloud engineers and DevOps engineers on the team.
Communicate effectively within and across teams, including with vendors when required.
Contribute to a culture of continuous improvement, helping to identify root causes and implement corrective actions.

Continuous Improvement

Identify and implement opportunities for automation and process improvement within cloud infrastructure.
Stay current with cloud technologies and best practices; recommend and lead adoption of improvements.
Participate in incident post-mortems, contributing to key learnings and system improvements.
Use AI-powered coding and engineering tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Claude) to accelerate development workflows, code reviews, and infrastructure-as-code authoring.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in cloud engineering or a similar role.
Experience within the Finance / Insurance industry is a plus.
Strong proficiency in at least one major cloud platform (AWS, Azure, or Google Cloud).
Understanding of modern application SDLC best practices.
Strong understanding of cloud security best practices.
Excellent problem-solving skills and the ability to work under pressure.
Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect) are a plus.
Self-motivated learner who proactively seeks out new skills and challenges.
Believes in a collaborative, transparent, and trust-based team culture.
Comfortable communicating technical concepts to both technical and non-technical audiences.
Experience with agile development methodologies.
Understanding of foundational cloud services (networking, storage, compute, etc.).
Solid understanding of DevOps automation tools and practices (CI/CD) such as Jenkins, GitHub, Terraform, AI-assisted coding tools, or comparable tools.
Hands-on experience using AI-assisted coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Cursor, or similar) to improve productivity and code quality.
Familiarity with evaluating and adopting AI-powered engineering tools, including prompt engineering for infrastructure and automation tasks.

Work with amazing people and be part of a unique culture

How we rate this

Senior Cloud Engineer at Hiscox rates 48 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringClaudeCopilotCursor

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through how you've used Claude in your day-to-day work.
What are the limits of Copilot that you've run into, and how did you work around them?
What's a project where you used Cursor hands-on?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Claude, Copilot, and Cursor. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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