machine learning engineer

ai engineer

data engineer

senior software engineer

full stack engineer

cloud platform engineer

IG Group

<div><p><b>Job Title
</b></p>Senior Cloud Platform Engineer
<p></p><p><b>Job Description
</b></p><div><div><div><h2 class="jobSectionHeader"><b>About IG Group
</b></h2></div><p></p><p>IG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.
</p><p>IG is at a pivotal moment. We are moving with real pace and ambition - rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join.
</p></div></div><p></p><div><div><p><b>Your Team
</b></p></div></div><p></p><div><div><p>You&rsquo;ll be joining a small, close-knit Data platform engineering team of three to five engineers. We&rsquo;re a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.
</p></div><div><p>We work across time zones with colleagues in Bengaluru and Krak&oacute;w, so clear communication and good async habits matter. You won&rsquo;t be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone&rsquo;s opinion on how we do it counts.
</p></div></div><p></p><div><div><p><b>Your role in the Team's Success<br>
</b></p></div></div><p></p><div><div><p>In a small team, a senior hire has an outsized impact - and this role is no different. <b>Here&rsquo;s </b><b>what success looks like:
</b></p></div><div><ul><li><p>You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better.
</p></li></ul></div><div><ul><li><p>You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You&rsquo;re the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around.
</p></li></ul></div><div><ul><li><p>You make the IDP real. An IDP is only useful if it&rsquo;s kept alive and relevant. You&rsquo;ll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they&rsquo;re looking for.
</p></li></ul></div><div><ul><li><p>You help the team get smarter. Whether it&rsquo;s sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we&rsquo;ve been missing - you make the people around you better at their jobs.
</p></li></ul></div><div><ul><li><p>You own your outcomes. This isn&rsquo;t a team with heavy process or close supervision. You&rsquo;ll be trusted to take work end-to-end, flag when something&rsquo;s wrong, and drive improvements without being asked twice.
</p></li></ul></div><div><ul><li><p>You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science , u nderstanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.<br>
</p></li></ul></div><p></p><div><p>The best person in this role won&rsquo;t just be technically strong - they&rsquo;ll care about the team&rsquo;s success as much as their own, and they&rsquo;ll leave the platform in a better state than they found it.<br>
</p></div></div><p></p><div><div><p><b>What </b><b>you'll </b><b>do
</b></p></div></div><div><div><p><b>Responsibilities </b>.
</p></div><div><ul><li><p>Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives
</p></li></ul></div><div><ul><li><p>Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation
</p></li></ul></div><div><ul><li><p>Operate and evolve GCP data platform services - BigQuery , Cloud Storage, Dataflow, Dataproc , Pub/Sub - in close collaboration with data and ML engineering teams
</p></li></ul></div><div><ul><li><p>Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles
</p></li></ul></div><div><ul><li><p>Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence
</p></li></ul></div><div><ul><li><p>Participate in an on-call rota as the platform's operational coverage matures.
</p></li></ul></div><div><ul><li><p>Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate
</p></li></ul></div><div><ul><li><p>Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog , ensuring ownership and metadata are correctly represented
</p></li></ul></div><div><ul><li><p>Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation
</p></li></ul></div><div><ul><li><p>Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering
</p></li></ul></div></div><p></p><div><div><p><b>What </b><b>you'll </b><b>need for this role<br>
</b></p></div></div><p></p><div><div><p><b>You&rsquo;ll </b><b>need solid experience in:
</b></p></div><div><ul><li><p>Cloud Infrastructure &amp; Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC , VPCSC , Direct Connect) and IaaS/PaaS architectural patterns . Exp
</p></li></ul></div><div><ul><li><p>Designing and operating Google Cloud Platform - BigQuery , Dataflow, Dataproc , Cloud Storage, Pub/Sub - at production scale
</p></li></ul></div><div><ul><li><p>Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers
</p></li></ul></div><div><ul><li><p>GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows
</p></li></ul></div><div><ul><li><p>Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices
</p></li></ul></div><div><ul><li><p>Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable
</p></li></ul></div><div><ul><li><p>A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon.<br>
</p></li></ul></div><p></p><div><p><b>It would be a bonus if you have:
</b></p></div><div><ul><li><p>AWS exposure
</p></li></ul></div><div><ul><li><p>Backstage experience - software catalog configuration, scaffolder templates, or plugin development
</p></li></ul></div><div><ul><li><p>Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt
</p></li></ul></div><div><ul><li><p>Exposure managing Databricks
</p></li></ul></div><div><ul><li><p>Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context
</p></li></ul></div><div><ul><li><p>Experience working in regulated financial services environments<br>
</p></li></ul></div><p></p><p><b>The Perks
</b></p><p>Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
</p><ul><li><p>Competitive salary
</p></li><li><p>Flexible Benefits Package on top of your salary (12%)
</p></li><li><p>Private medical cover for you and your family
</p></li><li><p>Life insurance
</p></li><li><p>Contribution to gym memberships
</p></li><li><p>25 Days holiday, with 1 additional day off to celebrate your Birthday &amp; 2 additional days off a year for voluntary work (28 in total
</p></li><li><p>The option to buy or sell holiday days.
</p></li><li><p>Unlimited access to the LinkedIn Learning Platform
</p></li><li><p>A comprehensive global and local onboarding process
</p></li><li><p>Employee-led LGBTQ+, Women&rsquo;s, Black and Parents &amp; Carers networks with an annual budget for organising events &amp; projects that foster an open, diverse and inclusive culture
</p></li><li><p>Option to participate and create ESG initiatives based on IG Brighter Future Fund
</p></li><li><p>Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents</p></li></ul><p></p><p><br>
</p></div><p></p><p><b>Number of openings
</b></p>1</div>

Senior Cloud Platform Engineer

Liberis

<div><p><b>Some key info for you about Liberis:</b></p>
<p>
 We were founded in 2007</p>
<p>
 We have provided over $3bn of funding to small businesses so far</p>
<p>
 We have been named in <b>CNBC &amp; Statista Top 150 UK Fintechs for 2025</b></p>
<p>
 We're a global team, with a dynamic presence in <b>6</b> key locations around the world</p>
<p>
 We're a thriving community of over <b>290</b> innovative minds</p>
<p>
 We're a vibrant melting pot, celebrating over <b>27</b> nationalities in our team</p>
<p>
 Our team brings experience from over <b>740</b> previous companies, from startups to global giants</p>
<p>
 We have just been named as one of <b>FinTech's Finest 50</b> by Welcome to the Jungle</p>
<p>
 We're proud to be an accredited <b>Real Living Wage</b> employer, ensuring everyone is paid fairly for the great work they do!</p><br>
<p></p>
<p><b>
Our Product &amp; Engineering Team:</b></p>
<p>
Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we're building a global Product, Data &amp; Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.</p>
<p>
Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You'll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.</p><br>
<p></p>
<p><b>
The role:</b></p>
<p>
The Cloud Platform team builds and operates the shared infrastructure and developer tooling that every engineering team at Liberis depends on. We're now running all new services in GCP and are actively migrating onto GCP from our legacy Azure platform. As we scale our use of AI, we're looking to add a Senior Cloud Platform Engineer with an emphasis on AI Enablement to help build and run the shared infrastructure our product teams depend on and to expand how we use AI across the platform.</p>
<p>
Our services are built in .NET, Node.js, and Python, primarily on both GCP and Azure. You'll work across the platform stack, and you'll be the person nudging us to make AI a practical, everyday part of how we build and operate. You'll spot where AI can make the platform and the teams on it faster, from AI-assisted developer tooling to agents that take real work off people's plates, and you'll help turn those ideas into things people use, with the guardrails and cost controls that make them safe to run.</p><br>
<p></p>
<p><b>
What you'll get to do in the role:</b></p>
<ul>
<li>Build and maintain the cloud infrastructure and tooling our product teams rely on, across compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run.</li>
<li>Champion AI agent adoption across the platform: spot where agents can take on real work, prototype it, and turn the promising work into supported, reusable capabilities teams can build on.</li>
<li>Build the foundations for AI agents: integrations with Claude, the tools and services agents call, and the orchestration that ties them together.</li>
<li>Wire observability, guardrails, and cost controls into the AI agents and tooling we run, so they stay safe and predictable in production.</li>
<li>Work hands-on with the AI tooling and agent frameworks we build on &mdash; Claude in particular, which we use extensively &mdash; and bring what you learn back to the wider team.</li>
<li>Manage infrastructure with Terraform, keeping environments consistent, auditable, and reproducible.</li>
<li>Contribute to our Azure-to-GCP migration thinking, especially what it means for our AI tooling and agents.</li>
<li>Partner with product engineers to lower the barrier to using AI, writing the docs, templates, and examples that drive adoption.</li></ul><br>
<p></p>
<p><b>
What we think you'll need:</b></p>
<ul>
<li>Genuine enthusiasm for AI agents and a desire to help us adopt them well. You don't need a machine-learning or model-training background &mdash; this is about building with tools like Claude, not training or serving models &mdash; but you should be keen to learn and to lead by doing.</li>
<li>Strong GCP experience (Azure experience is nice to have)</li>
<li>Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run.</li>
<li>Infrastructure-as-code with Terraform.</li>
<li>Proficient in at least one of .NET (C#), Node.js, or Python.</li>
<li>Observability experience with Datadog or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor).</li>
<li>A track record of driving adoption &mdash; building things engineers use, writing docs that get read.</li>
<li>Comfortable leading technical decisions, collaborating across teams, and mentoring other engineers.</li></ul><br>
<p></p>
<div>
Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link</div>
<div><br>
<b>Our hybrid approach</b><br>
Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.<br>
<br>
#LI-FC1</div></div><p></p>

NewDay

<p></p><div><p>As a Platform Engineer at NewDay , you'll create the tooling, automation, and cloud platforms that make software delivery seamless across Azure and AWS. Rather than building customer-facing applications, you'll be building the developer experience creating scalable platforms, simplifying deployments, and enabling hundreds of engineers to deliver software faster, safer, and more efficiently. If you're a software engineer who enjoys solving engineering challenges through automation, cloud technologies, and modern platform engineering, we'd love to hear from you.
</p><p></p><p><b>How you'll contribute
</b></p><ul><li><p>Build and evolve the internal developer platform, creating tools and services that enable engineering teams to develop, test, deploy, and operate applications with ease.
</p></li><li><p>Develop deployment tooling and automation using modern software engineering practices, helping simplify and accelerate software delivery across Azure and AWS.
</p></li><li><p>Identify opportunities to remove friction, improve self-service capabilities, and enable developers to move faster.
</p></li><li><p>Design and implement cloud-native solutions using containers, Infrastructure as Code, and CI/CD pipelines to improve platform scalability, resilience, and security.
</p></li><li><p>Collaborate closely with Platform Engineering, SRE, and development teams to introduce new technologies, establish engineering standards, and continuously improve our platform capabilities.
</p></li></ul><p></p><p><b>We're looking for these essential skills
</b></p><ul><li><p>Hands-on experience with Microsoft Azure and/or AWS, including core cloud services such as compute, storage, networking, databases, identity, and PaaS offerings (e.g. Azure App Services, Azure Functions, AWS Lambda, and equivalents).
</p></li><li><p>software engineering background with TypeScript/Node.js (or .NET/C#), with experience building internal platforms, deployment tooling, and automation that improves the developer experience.
</p></li><li><p>Proven experience implementing Infrastructure as Code and automated CI/CD pipelines using tools such as Terraform or ARM templates, GitHub Actions, TeamCity, Octopus Deploy, or equivalent technologies.
</p></li><li><p>Experience with containerisation and cloud-native technologies, including Docker and Kubernetes, with an understanding of scalable, resilient, and highly available platform architectures across Azure and/or AWS.
</p></li><li><p>Strong knowledge of DevOps and platform engineering practices, including Agile delivery, GitHub and Jira, networking, authentication and authorisation, digital certificates, cloud security, and supporting engineering teams through effective platform tooling.
</p></li></ul><p></p><p><b>It's a plus if you also have these skills
</b></p><ul><li><p>Experience building and operating Kubernetes platforms in production environments.
</p></li><li><p>Knowledge of Infrastructure as Code using Terraform, ARM, or Bicep to provision and manage cloud infrastructure.
</p></li><li><p>Experience creating and maintaining CI/CD pipelines using tools such as GitHub Actions, Octopus Deploy, or similar technologies.
</p></li><li><p>Familiarity with monitoring and observability tools such as Azure Application Insights, Log Analytics, or Grafana.
</p></li><li><p>Experience promoting DevOps best practices, contributing to open-source tooling, or helping engineering teams adopt modern platform engineering approaches.
</p></li></ul><p></p><p>At NewDay, we value all types of diversity. We&rsquo;re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don&rsquo;t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.
</p><p></p><p>Tell us if you need accommodations: We&rsquo;ll put reasonable adjustments in place to support you.
</p><p></p><p>We work with Textio to make our job design and hiring inclusive.
</p><p></p>Permanent</div>

Platform Engineer

<div>
 <p>
  <strong>
   Cloud Engineer SC cleared or eSC
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re seeking fellow platform engineers who want to grow their career and delight customers through a hybrid of project and foundational activities. We take a modern approach of working collaboratively internally and externally to achieve high levels of satisfaction both for our clients and ourselves collectively. We achieve this through focused groups of technical people, known as Pods, coming together to deliver and maintain cloud services to UK clients. The strength of our pods lies within our people, fostered by a supportive team culture. Our ideal candidate would thrive in such an environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Hybrid working
  </strong>
  : The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the job you&rsquo;re considering
  </strong>
 </p>
 <p>
  We&rsquo;re seeking fellow platform engineers who want to grow their career and delight customers through a hybrid of project and foundational activities. We take a modern approach of working collaboratively internally and externally to achieve high levels of satisfaction both for our clients and ourselves collectively. We achieve this through focused groups of technical people, known as Pods, coming together to deliver and maintain cloud services to UK clients. The strength of our pods lies within our people, fostered by a supportive team culture. Our ideal candidate would thrive in such an environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Hybrid working
  </strong>
  : The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your role
  </strong>
 </p>
 <p>
  As an integral part of a Cloud Pod, you&rsquo;ll have fantastic opportunities to develop both yourself and our collective capabilities as you progress both project and foundational requirements with other like-minded Cloud DevOps Engineers. As part of the team, you&rsquo;ll be empowered to:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Build and maintain cloud platforms with a high degree of focus on technical reuse, standardisation and blueprints; think code first rather than &ldquo;ClickOps&rdquo;
 </p>
 <p>
  &bull; Embrace modern ways of working and feel part of our customer&rsquo;s outcomes as we group around activities in agile type sprints.
 </p>
 <p>
  &bull; Continue to strengthen and bolster your existing capabilities in platform engineering through a mix of professional training, certifications, and experiences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your skills and experience
  </strong>
 </p>
 <p>
  A proven track record in platform engineering, particularly with: Azure/AWS, Infrastructure as Code and VCS (GitHub). A background in infrastructure and networking would be advantageous, as would experience working in an Agile manner, Terraform, Kubernetes, Ansible and CI/CD pipelines.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your security clearance and pre-employment checks
  </strong>
 </p>
 <p>
  To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service).
 </p>
 <p>
 </p>
</div>


Cloud Engineers

<div><p><b>Some key info for you about Liberis:</b></p>
<p>
 We were founded in 2007</p>
<p>
 We have provided over $3bn of funding to small businesses so far</p>
<p>
 We have been named in <b>CNBC &amp; Statista Top 150 UK Fintechs for 2025</b></p>
<p>
 We're a global team, with a dynamic presence in <b>6</b> key locations around the world</p>
<p>
 We're a thriving community of over <b>290</b> innovative minds</p>
<p>
 We're a vibrant melting pot, celebrating over <b>27</b> nationalities in our team</p>
<p>
 Our team brings experience from over <b>740</b> previous companies, from startups to global giants</p>
<p>
 We have just been named as one of <b>FinTech's Finest 50</b> by Welcome to the Jungle</p>
<p>
 We're proud to be an accredited <b>Real Living Wage</b> employer, ensuring everyone is paid fairly for the great work they do!</p><br>
<p></p>
<p><b>
Our Product &amp; Engineering Team:</b></p>
<p>
Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we're building a global Product, Data &amp; Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.</p>
<p>
Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You'll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.</p><br>
<p></p>
<p><b>
The role:</b><br>
<br>
Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This is a brand new role created to bridge the gap between application development and platform engineering - creating a more consistent, scalable developer experience as we continue to evolve our platform strategy.<br>
<br>
You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation.<br>
<br>
This is a high-impact role with real scope to influence how engineering works at Liberis!</p><br>
<p></p>
<p><b>
What you'll get to do in the role:</b></p>
<ul>
<li>Own and evolve the service template library for .NET, Node.js, and Python &mdash; covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters.</li>
<li>Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning, and deployment &mdash; consistent across stacks and reusable across teams.</li>
<li>Define and ship observability standards: structured logging, distributed tracing, and alerting integrated into service templates so every new service is production-ready from day one.</li>
<li>Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into.</li>
<li>Contribute to our thinking on a potential Azure-to-GCP migration &mdash; helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision.</li>
<li>Partner with product engineers to understand where developer experience breaks down &mdash; slow pipelines, confusing templates, missing runbooks &mdash; and fix the root causes, not the symptoms.</li>
<li>Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams.</li>
<li>Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling.</li></ul><br>
<p></p>
<p><b>
The interview process:</b></p>
<ul>
<li>Screening call with Chess (Internal Recruiter) (30 mins)</li>
<li>Video interview with the Hiring Manager (45 mins)</li>
<li>In person code pairing interview with a member of Engineering team (1 hour)</li>
<li>Video interview with the wider Liberis team (1 hour)</li></ul><br>
<p></p>
<p><b>
What we think you'll need:</b></p>
<ul>
<li>Proficient in at least one of .NET (C#), Node.js and Python &mdash; able to build, configure, and template production-grade services in each.</li>
<li>Strong GCP experience (Azure experience is nice to have)</li>
<li>Hands-on experience designing reusable CI/CD pipeline templates &mdash; GitHub Actions or Azure DevOps &mdash; consistent across stacks and teams.</li>
<li>Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run.</li>
<li>Observability experience with at least one of: Datadog, incident.io, or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor).</li>
<li>Infrastructure-as-code with Terraform.</li>
<li>A proven track record of driving adoption &mdash; building things engineers use, writing docs that get read.</li></ul><br>
<p></p>
<div>
Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link</div>
<div><br>
<b>Our hybrid approach</b><br>
Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.<br>
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#LI-FC1</div></div>

Lead DevOps Engineer

Graphcore

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  About Graphcore
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 At Graphcore, we&rsquo;re building the future of AI compute.We&rsquo;re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
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  Job Summary
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 We are looking for a Senior Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions. This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.
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  The Software Platform team at Graphcore
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 We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre-release hardware and software, so it&rsquo;s vital you are comfortable with unproven components.
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  Responsibilities And Duties
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   Develop and operate Kubernetes-managed end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.
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   Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.
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   Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.
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  Skills And Experience (all Required)
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   Bachelor's degree or equivalent practical experience in a relevant subject.
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   Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD.
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   Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.
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   Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.
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   Strong proven Linux scripting ability (bash, python, awk, sed).
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   Strong proven Linux system administration (Ubuntu, RHEL and variants).
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   Experience with a version control system (preferably Git) and using it to manage system configuration or automation.
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   Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.
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   A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.
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   Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer).
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   Good communication and presentation skills, and experience dealing with end-users of IT services.
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   An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.
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  Desirable But Not Required
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   Experience with Openstack cloud platforms.
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   Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.
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   Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
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   Programming experience with Python3 utilising classes and inheritance.
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  Benefits
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 In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we&rsquo;re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
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  Sponsorship
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 Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
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Senior Cloud Engineer (K8S)

Client of Xcelyst Limited

<p>Senior Software Engineer &ndash; KotlinJob Title</p><p>Senior Software Engineer &ndash; Kotlin</p><p>Location</p><p>London, United Kingdom (Hybrid)</p><p>Employment Type</p><p>Permanent / Full-Time</p><p>About the Role</p><p>We are looking for experienced Senior Kotlin Engineers to join a high-performing engineering team building a next-generation cloud-native platform within the Capital Markets domain. This platform supports critical front-office business processes and is used by global users operating in a fast-paced, real-time environment.</p><p>You will work closely with product, engineering, and platform teams to design, build, and support highly scalable backend services while contributing to a strong engineering culture focused on quality, collaboration, and continuous improvement.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain backend services using Kotlin</li><li>Build scalable, resilient, and high-performance cloud-native applications</li><li>Collaborate with cross-functional teams to deliver business-critical features</li><li>Participate in architecture discussions and technical design decisions</li><li>Follow engineering best practices including automated testing, code reviews, and continuous integration</li><li>Support production systems and contribute to platform reliability and operational excellence</li><li>Drive continuous improvement through refactoring, clean code principles, and technical innovation</li><li>Work in highly collaborative engineering environments with shared ownership of solutions</li></ul><p>Required Skills &amp; Experience</p><ul><li>Strong commercial experience developing backend applications using Kotlin</li><li>Solid understanding of object-oriented design and software engineering principles</li><li>Experience building distributed systems, microservices, and event-driven architectures</li><li>Hands-on experience with cloud platforms, preferably Google Cloud Platform (GCP)</li><li>Experience with:</li><li>Kubernetes (GKE) and/or Cloud Run</li><li>Cloud SQL</li><li>Caching technologies</li><li>Logging and monitoring tools</li><li>Secure key and secrets management</li><li>Strong understanding of CI/CD pipelines and modern SDLC practices</li><li>Experience working in enterprise or regulated environments</li><li>Comfortable supporting production systems with high availability requirements</li></ul><p>Preferred Skills</p><ul><li>Experience within Capital Markets, Investment Banking, Trading, or Financial Services environments</li><li>Exposure to Agile, Extreme Programming (XP), Test-Driven Development (TDD), and continuous refactoring practices</li><li>Experience with infrastructure automation and cloud-native deployment models</li><li>Knowledge of event streaming and messaging platforms</li></ul><p>What We're Looking For</p><ul><li>Strong problem-solving and analytical skills</li><li>Passion for building high-quality software</li><li>Collaborative mindset and excellent communication skills</li><li>Ability to thrive in fast-paced, business-critical environments</li><li>Commitment to continuous learning and engineering excellence</li></ul><p>Benefits</p><ul><li>Opportunity to work on a large-scale, business-critical platform</li><li>Exposure to modern cloud-native technologies</li><li>Collaborative engineering culture</li><li>Career growth and professional development opportunities</li><li>Competitive compensation and benefits package</li></ul><p>If you are passionate about Kotlin, cloud-native engineering, and building scalable platforms that support critical business operations, we would love to hear from you.</p><p>Pay: &pound;120,000.00-&pound;160,000.00 per year</p><p>Work Location: Hybrid remote in London</p>

Kotlin Developer

Explore 352+ Cloud platform engineer in London this July. Find roles across top companies and apply now to boost your career.

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