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

Nominate & Attend

DevSecOps AWS Cloud Engineer

A1X
Nottingham
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Principal MLOps/GenAI Infrastructure Engineer

Principal MLOps/GenAI Infrastructure Engineer

Principal MLOps/GenAI Infrastructure Engineer

Principal MLOps/GenAI Infrastructure Engineer

Principal MLOps/GenAI Infrastructure Engineer

Location: Remote (Europe)

Job Type: Full-time, 12-month contract with an initial 3-month probationary period (possibly leading to a permanent position)

Compensation: Highly competitive, based on experience


Designing, deploying and refining scalable, performant cloud infrastructure as code.

Shifting left and right to bake in world-class security, testing and observability from day one.

Seeing opportunity in cryptocurrency and financial disruption.

Taking ownership and collaborating for greatness.

If these match your passion, excitement and skills, let’s talk!


We are a small, proprietary trading firm that leverages cutting-edge technology to excel in cryptocurrency derivatives markets, currently focused on the first iteration of a real-time, cloud-based quantitative analysis pipeline that produces price & volatility forecasts and optimises our quoting strategy for our market-making activities.


As a DevSecOps AWS Cloud Engineer, you’ll take the lead in designing, implementing, and managing the infrastructure that powers our trading. This requires proven excellence in combining, configuring, automating and securing the AWS resources that underlie resilient, secure and performant applications, the pipelines that build, test and deploy them, and the auxiliary systems that support them.


This role’s core responsibility is empowering our team with infrastructure, standards and processes that streamline and accelerate the Software Development Life Cycle (SDLC), enhance collaboration, whilst securing our data and systems.


In this role, you will work closely with Engineering and QA teams to ensure the reliability, security, scalability and automation of core systems, and the development of auxiliary systems such as health monitoring dashboards, centralized logging and metrics systems, and notifications.


Key Responsibilities

As a DevSecOps AWS Cloud Engineer, your key responsibilities include to:

  • Collaborate with Engineering and QA to design and automate secure, scalable, performant infrastructure and environments that enables running and testing low-latency, reliable trading applications
  • Maintain and standardise core DevOps systems, such as version control, CI/CD, configuration management, IaC and rollback mechanisms to streamline infrastructure provisioning, setup and SDLC
  • Automate our security posture at every stage of SDLC with AST tools, security policies, monitoring, configuration and compliance to meet industry standards
  • Build dashboards, automatic notifications, and other health and security monitoring systems to ensure rapid response and resolution of critical, performance and security issues that compromise our trading
  • Develop security and infrastructure failure incident response playbooks, and lead remediation after incidents
  • Take proactive ownership of cloud infrastructure maintenance and issues, from root cause analysis to resolution
  • Drive the adoption of best practices for secure, consistent and efficient development across the organization
  • Work across teams to align and deliver automated infrastructure that meets business needs whilst improving quality of both our output and the team’s quality of life
  • Document and ensure clear communication of architecture, processes, and best practices to the team
  • Establish and monitor appropriate metrics and KPIs to facilitate data-driven feedback and improvement


Key Qualifications

  • BSc or MSc in Computer Science, Information Security, or a related STEM field
  • 3+ years in DevOps/DevSecOps, with 2+ years working in hybrid or cloud-native AWS environments
  • Proven AWS expertise, with at least one of the following (or equivalent): AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Professional
  • Proven expertise and experience in automating security in SDLC and following recognised standards, guidelines and references (NIST, OWASP, CWEs, CVEs). Putting the Sec in DevSecOps.
  • Deep conceptual knowledge of CI/CD pipelines, observability tools, IaC, version control and SDLC automation in general
  • Strong understanding of Linux, especially AL2023, and Docker containerization
  • Extensive scripting experience (Shell, Python etc.)


Preferred Skills

  • Additional AWS certifications, such as: AWS Certified Security – Specialty, AWS Certified Advanced Networking – Specialty, AWS Certified Database – Specialty, AWS Certified Machine Learning – Specialty (for future projects)
  • Experience with AWS PrivateLink, DirectConnect, VPC Peering and Global Accelerator
  • Experience implementing Zero-Trust Network Models / Secure Access Service Edge (SASE) systems
  • Experience using Vector for observability pipelines
  • Windows Server administration skills
  • Proficiency with databases and messaging systems
  • Knowledge of financial systems and the collection and processing of time-series data
  • NodeJS skills to support with a ElasticBeanstalk project in maintenance


Why Join Us

  • Creatively apply and deepen your expertise at the cutting edge of the rapidly-emerging field of cryptocurrency.
  • Position yourself to contribute to innovative combinations of quantitative finance, ML, cloud-computing and trading strategy tailored to cryptocurrency trading.
  • Receive highly competitive pay, including bonuses, and the opportunity to join us permanently.
  • Be a fundamental force in shaping the infrastructure and systems of a growing trading firm.
  • Enjoy a flexible, collaborative and empowering fully remote work environment.
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 Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.