Senior AWS Platform Engineer - Active Security Clearance required

Devopshunt
London
4 days ago
Applications closed

Related Jobs

View all jobs

Senior Ad Tech Engineer

Senior Data Engineer

Senior Manager Q Customer Success, Customer Success Team

Director of Data Engineering

Senior JavaScript / TypeScript Developer

Software Engineer - Data

Senior AWS Platform Engineer - Active Security Clearance required

Company:Appvia

Type:Full-time

Location Type:Hybrid

Location:London, England, United Kingdom

Salary:Not disclosed

Description

As a Senior AWS Platform Engineer and Cloud Consultant at Appvia, you will play a crucial role in guiding our customers on their journey to cloud and DevOps maturity. Leveraging your expertise in cloud technologies and best practices, you will work closely with clients to architect, implement, and optimise solutions tailored to their unique needs. You will collaborate with cross-functional teams to drive innovation and deliver exceptional value to our customers.

About Us

At Appvia, were committed to helping our customers navigate their journey to Cloud and DevOps maturity. As a leading provider in the industry, we offer cutting-edge technologies and services to support our clients cloud adoption journey.

Our mission is to enable every company to deliver apps in the cloud. We dedicate ourselves to building a cloud infrastructure layer that allows platform engineering teams to manage, monitor and update with ease - at the same time, offering developers the flexibility to deploy their apps in the cloud without hassle. We are passionate about driving value to our clients and have a desire to make their organisation succeed.

Interview Process

  1. Initial conversation with our Talent Acquisition Manager
  2. Technical Interview with the Hiring Manager
  3. Leadership Final Interview

Important

You must hold active UK Security Clearance to be eligible for this role.

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.