National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Security Consultant (Cloud Security)

Claranet
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Consultant

Technical Account Manager

Senior Solutions Architect

Senior Data Scientist

Senior Data Scientist

head of cyber security

About The Role

Essential duties & responsibilities

Support the development and execution of an enterprise-wide Cloud security program. Define and manage security controls for a multi-cloud architecture. Configure, maintain, deploy, and craft intricate rules within the framework of Cloud security tools, exhibiting a nuanced understanding of their functionality. Design and implement 3rd party as well as cloud-native tooling, aligning them meticulously with predefined requirements to optimize security measures. Develop standard operating procedures and conduct comprehensive training sessions for each technology, ensuring a thorough understanding and adherence to best practices. Configure, maintain, deploy, and write rules in Cloud security tools. Design and implement 3rd party and cloud-native tooling to meet defined requirements. Develop standard operating procedures and training for each technology. Architect and continuously improve security technology stack, process and procedures, support model and cross-function interactions utilizing automation where possible. Collaborate with the Security Operations team to swiftly respond to cybersecurity incidents, demonstrating a united front against potential threats. Review and assess utilization of Cloud security tooling. Promote and drive adoption of Cloud security tooling across the enterprise. Partner across the Security Operations team to respond to cybersecurity incidents. Develop and report Cloud security coverage metrics and remediation plans. Define procedures to validate the effectiveness of the design, deployment, and management of security controls that aim to maintain confidentiality, integrity, and availability of Cloud networks and technology platforms. Conduct research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Experience contributing to the system design (architecture, design patterns, reliability, and scaling) of new and current cloud-based GenAI services. Conduct thorough reviews and assessments of the utilization of Cloud security tooling, ensuring optimal performance and alignment with security objectives. Configure, maintain, deploy, and craft intricate rules within the framework of Cloud security tools, exhibiting a nuanced understanding of their functionality.

About You

Position specifications

Bachelor’s Degree or industry equivalent work experience in cybersecurity, international security architecture, and/or engineering in a converged security program 4-7 years of experience operating with at least one cloud provider, preferably GCP, Azure, or AWS Strong understanding of Cloud security industry standards and best practices (CSA CCM, CIS, NIST benchmarks, etc.) Proficient use of Linux, MacOS, and Windows Operating System tools Operating and maintaining tools across the Cloud security technology stack (CSPM, CWPP, SASE, CASB, CIEM, Cloud native features like GuardDuty, AWS Config, Amazon Inspector, etc.) Conversant with Cloud security technology stack, encompassing CSPM, CWPP, SASE, CASB, CIEM, and Cloud-native features such as GuardDuty, AWS Config, Amazon Inspector, and more. Ability to visualize and integrate cloud-specific data and alerts with other security systems. experience in a multi-cloud or hybrid cloud environment, demonstrating adaptability across diverse technological landscapes. hands-on experience in utilizing one or more programming/scripting languages, such as Python, Go, Java, Terraform, etc. Experience in a multi-cloud or hybrid-cloud environment Working knowledge of SecDevOps and proficiency in embracing Shift Left concepts to enhance security measures throughout the development lifecycle. Technical knowledge of Kubernetes and Docker technologies and associated security requirements (Kubernetes, Docker, etc.) Experience contributing to the system design (architecture, design patterns, reliability, and scaling) of new and current cloud-based GenAI services. Familiarity with source code management and proficiency in CI/CD tools, such as Github, Bitbucket, Jenkins, Artifactory, etc. Should have at least one associate-level cloud certification, such as AWS Solutions Architect GCP Associate Cloud Engineer, as a testament to specialized knowledge and expertise.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.