infrastructure software engineer

Securitas

<div>AWS Infrastructure Engineer
Location: United Kingdom
Purpose
Design, build, and operate AWS infrastructure that underpins key platforms and services as the organisation continues its transition to cloud.
Work as a hands-on AWS engineer, focused on delivering secure, scalable, and highly available environments. Take ownership of components of the migration and operation of business-critical platforms and services within AWS.
Major Responsibilities<ul><li>
Design, build, and maintain AWS infrastructure using infrastructure-as-code principles</li><li>
Support production and non-production environments with a focus on availability, performance, and security</li><li>
Deliver backend infrastructure operations including server management, updates, storage, failover, and logging</li><li>
Build and maintain core AWS services across compute, networking, storage, and identity (e.g. EC2, S3, VPC, IAM, RDS, CloudWatch)</li><li>
Collaborate with application, DevOps, and security teams to deliver resilient cloud solutions</li><li>
Integrate infrastructure with CI/CD pipelines to enable reliable, repeatable deployments</li><li>
Implement monitoring, logging, alerting, and observability practices</li><li>
Investigate incidents, contribute to root cause analysis, and drive continuous improvement</li><li>
Support security, compliance, and audit requirements within cloud environments, including regulated or security-sensitive contexts</li><li>
Work with cloud partners and vendors, including AWS and third parties, on architecture reviews and optimisation</li><li>
Automate infrastructure provisioning and operational processes to reduce manual effort</li><li>
Document infrastructure, standards, and operational processes</li><li>
Primary working hours aligned to European time zones. Participation in a global on-call rotation.</li></ul>
What Success Looks Like<ul><li>
Deliver stable, secure, and scalable AWS environments that support business-critical platforms</li><li>
Contribute to the successful migration and operation of core business platforms and services in AWS</li><li>
Maintain strong system availability and performance across production environments</li><li>
Identify and resolve infrastructure issues proactively, improving reliability over time</li><li>
Collaborate effectively with cross-functional teams to deliver consistent, high-quality solutions</li><li>
Establish reliable and repeatable infrastructure practices</li></ul>
Education<ul><li>
Degree or equivalent experience in Computer Science, Information Technology, or a related field</li></ul>
Experience &amp; Knowledge<ul><li>
Hands-on experience with AWS in production environments</li><li>
Strong knowledge of core AWS services such as VPC, IAM, EC2, containers, storage, and monitoring</li><li>
Experience with infrastructure-as-code tools (e.g. Terraform, AWS CDK, or similar)</li><li>
Understanding of cloud networking, security, and identity management</li><li>
Experience supporting highly available, business-critical systems</li><li>
Familiarity with cloud migration initiatives</li><li>
Experience integrating infrastructure with CI/CD pipelines and automation tooling</li><li>
Exposure to containerised workloads or orchestration platforms (e.g. ECS, EKS)</li><li>
Experience working within regulated or security-focused environments</li><li>
Experience working with distributed teams</li><li>
AWS certifications (e.g. Solutions Architect, SysOps Administrator) are beneficial</li></ul>
Skills &amp; Competencies<ul><li>
Strong problem-solving and troubleshooting skills</li><li>
Clear communication across technical and non-technical teams</li><li>
Collaborative approach to working with engineering, security, and operations</li><li>
Ability to prioritise and manage workload effectively</li><li>
Adaptability in a changing environment</li><li>
Commitment to continuous learning and improvement</li></ul>
Why Join Us
Work on meaningful cloud transformation initiatives, helping to move critical platforms into AWS. Contribute to real-world infrastructure challenges while collaborating with experienced teams across the organisation.
Develop AWS expertise, expand technical capability, and operate in an environment that values collaboration, learning, and practical problem solving.
Our People Promise &ndash; Securitas Technology EVP
Alongside the opportunity to work on modern AWS infrastructure, you&rsquo;ll be part of an organisation that values people, growth, and purpose. We offer clear career pathways, growth opportunities, recognition for achievements, and a global, collaborative team.
As part of our EVP, we offer:<ul><li>
Career pathways and growth opportunities</li><li>
A global, values-driven team</li><li>
Recognition for achievements</li><li>
An inclusive, collaborative culture</li><li>
Purposeful work that makes the world safer</li><li>
Support for innovation and sustainability</li></ul>
Securitas Technology is committed to diversity and is an equal opportunity employer; all qualified applicants are welcome.</div>

AWS Infrastructure Engineer

Client Server

<div>
 
 
 
 Software Engineer / Developer (Python SQL) London to &pound;150k+
 
 
 
 
 
 
 
 Are you a data savvy Software Engineer with strong Python coding skills?
 
 
 
 
 
 You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 
 
 
 
 
 As a Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 Design and build data platform components using Python
 </li>
 <li>
 Develop and optimise ETL pipelines, Data Lakes/ Lakehouses and distributed systems
 </li>
 <li>
 Improve infrastructure, observability and CI/CD practices
 </li>
 <li>
 Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
 </li>
 <li>
 Support platform operations, ensuring reliability and performance
 </li>
 </ul>
 
 
 
 
 
 Location / WFH:
 
 
 
 You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong backend development experience with Python
 </li>
 <li>
 You have experience of working with financial or market data
 </li>
 <li>
 You have experience of designing and operating data-intensive and distributed systems
 </li>
 <li>
 You have a strong knowledge of databases (Relational, NoSQL and Columnar)
 </li>
 <li>
 You're keen to take ownership and work across the full development lifecycle
 </li>
 <li>
 You're collaborative and pragmatic with strong stakeholder management skills
 </li>
 <li>
 You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 
 As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
 
 <ul>
 <li>
 Salary to &pound;150k
 </li>
 <li>
 Bonus
 </li>
 <li>
 Pension
 </li>
 <li>
 Self development and career progression opportunities
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Software Engineer / Developer (Python SQL) opportunity.
 
</div>

Software Engineer Python SQL - Market Data

Oregon Systems

Job Title-DevOps EngineerWork Authorization- Citizen or No SponsorshipJob SummaryWe are seeking a highly skilled DevOps Engineer to join our dynamic technology team. The successful candidate will be responsible for designing, implementing, and maintaining scalable, reliable, and secure cloud and on-premise infrastructure. This role requires a strong understanding of software development lifecycle (SDLC), continuous integration and deployment (CI/CD), system administration, and cloud computing platforms. The DevOps Engineer will collaborate closely with development, QA, and operations teams to streamline processes, optimise system performance, and ensure high availability of services. Experience with a broad range of tools such as Docker, Kubernetes, Terraform, Jenkins, and cloud providers like AWS or Azure is essential.Responsibilities<ul><li>Design, develop, and maintain automated deployment pipelines using tools such as Jenkins, GitLab CI/CD, or TFS.</li><li>Manage containerisation technologies including Docker and Kubernetes to facilitate scalable microservices architectures.</li><li>Implement infrastructure as code (IaC) using Terraform, Ansible, Chef, Puppet or similar tools to provision and manage cloud infrastructure and virtualised environments.</li><li>Monitor system performance and troubleshoot issues using tools like New Relic, Splunk, or Elasticsearch to ensure optimal operation of applications and infrastructure.</li><li>Maintain and optimise cloud environments on AWS, Azure or Google Cloud Platform by managing resources such as S3 buckets, virtual machines, load balancers, and networking components.</li><li>Collaborate with development teams during requirements gathering to design scalable solutions aligned with business needs.</li><li>Ensure disaster recovery plans are in place and tested regularly to minimise downtime during outages or failures.</li><li>Manage configuration management across multiple environments including Linux (CentOS, UNIX) and Windows Server platforms.</li><li>Implement security best practices including firewall configuration, DNS management, incident response procedures and incident management protocols.</li><li>Support software deployment activities across various environments ensuring smooth release cycles while maintaining system stability.</li></ul>Skills<ul><li>Extensive experience with containerisation technologies such as Docker and orchestration tools like Kubernetes.</li><li>Proficiency in scripting languages including Bash (Unix shell), PowerShell, Python, Groovy, Perl or Ruby for automation tasks.</li><li>Strong knowledge of cloud computing platforms including AWS (S3, EC2), Azure or Google Cloud Platform along with cloud infrastructure management tools like Terraform or OpenStack.</li><li>Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or GitLab CI/CD integrated with version control systems such as Git or SVN.</li><li>Experience managing databases such as MySQL, Microsoft SQL Server or Oracle; knowledge of SQL/PLSQL is advantageous.</li><li>Understanding of web servers like NGINX or WebSphere; experience with web services (REST/SOAP) is desirable.</li><li>Knowledge of distributed systems architecture including microservices design patterns and API management.</li><li>Ability to troubleshoot complex software issues related to system performance or deployment failures efficiently.</li><li>Strong grasp of network fundamentals including TCP/IP protocols, DNS configuration and firewall management.</li><li>Familiarity with monitoring tools such as New Relic or Splunk for incident response and system health checks.</li><li>Experience working within SDLC frameworks ensuring quality assurance through automated testing tools and release management processes.</li></ul>This position offers an exciting opportunity for a motivated professional eager to work in a fast-paced environment that values innovation and continuous improvement in technology operations. The ideal candidate will demonstrate excellent organisational skills combined with a proactive approach to problem-solving in complex technical landscapes.Pay: &pound;31,955.47-&pound;95,614.58 per yearWork Location: In person

DevOps Engineer

NewDay

<div>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.
How you'll contribute
<ul><li>Build and evolve the internal developer platform, creating tools and services that enable engineering teams to develop, test, deploy, and operate applications with ease.
</li><li>Develop deployment tooling and automation using modern software engineering practices, helping simplify and accelerate software delivery across Azure and AWS.
</li><li>Identify opportunities to remove friction, improve self-service capabilities, and enable developers to move faster.
</li><li>Design and implement cloud-native solutions using containers, Infrastructure as Code, and CI/CD pipelines to improve platform scalability, resilience, and security.
</li><li>Collaborate closely with Platform Engineering, SRE, and development teams to introduce new technologies, establish engineering standards, and continuously improve our platform capabilities.
</li></ul>We're looking for these essential skills
<ul><li>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).
</li><li>software engineering background with TypeScript/Node.js (or .NET/C#), with experience building internal platforms, deployment tooling, and automation that improves the developer experience.
</li><li>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.
</li><li>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.
</li><li>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.
</li></ul>It's a plus if you also have these skills
<ul><li>Experience building and operating Kubernetes platforms in production environments.
</li><li>Knowledge of Infrastructure as Code using Terraform, ARM, or Bicep to provision and manage cloud infrastructure.
</li><li>Experience creating and maintaining CI/CD pipelines using tools such as GitHub Actions, Octopus Deploy, or similar technologies.
</li><li>Familiarity with monitoring and observability tools such as Azure Application Insights, Log Analytics, or Grafana.
</li><li>Experience promoting DevOps best practices, contributing to open-source tooling, or helping engineering teams adopt modern platform engineering approaches.
</li></ul>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.
Tell us if you need accommodations: We&rsquo;ll put reasonable adjustments in place to support you.
We work with Textio to make our job design and hiring inclusive.
Permanent</div>

Platform Engineer

Accenture

<div>YOU ARE
As a hands-on Infrastructure architect, you are an early-career engineer who learns and grows while contributing hands-on to the AI and machine learning infrastructure that powers real-world applications. Under the guidance of senior architects and engineers, you'll develop practical skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you'll write and test code and deployment scripts, help configure cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and support data pipelines that feed AI and ML workflows. You'll learn to monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and troubleshoot issues across the computational stack with mentorship and support. This is a hands-on, learning-focused where you build expertise across modern tools and platforms &mdash; including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring &mdash; while making meaningful contributions to infrastructure that enables AI-driven busin
ess outcomes.
THE WORK<ul><li>
Write, test, and debug code and scripts for AI infrastructure tasks, including automation and tooling, under the guidance of senior engineers.</li><li>
Develop and maintain infrastructure and software deployment scripts to support reliable, repeatable releases of AI systems and models.</li><li>
Configure and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.</li><li>
Deploy AI systems and machine learning models into production infrastructure, following established processes and best practices.</li><li>
Deploy data pipelines that feed AI and ML workflows, ensuring data is available, clean, and reliable.</li><li>
Assist with container orchestration and model serving, learning tools such as Docker, Kubernetes, and model deployment frameworks.</li><li>
Support and maintain CI/CD pipelines for automating the build, test, and deployment of AI infrastructure and applications.</li><li>
Monitor AI systems and infrastructure health across InfraOps and MLOps disciplines, tracking performance, reliability, and resource utilization.</li><li>
Perform AI monitoring to track model performance, detect drift or degradation, and surface issues for review.</li><li>
Troubleshoot and help resolve issues across the computational stack &mdash; hardware, networking, software, and models &mdash; with mentorship and support.</li><li>
Document configurations, processes, and procedures to maintain clear, repeatable, and shareable knowledge across the team.</li><li>
Collaborate with senior architects and engineers, participating in code reviews, team discussions, and knowledge-sharing sessions to grow technical skills.</li><li>
Apply security, cost-efficiency, and scalability best practices as you learn them, contributing to well-managed and responsible infrastructure.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Work or coursework experience with AI/ML or Computer engineering or Computer science.</li><li>
Coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.</li><li>
Strong understanding of AI and machine learning as a subject.</li><li>
Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li></ul></div>

AI Infrastructure Architecture Analyst

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be at the forefront of applying Google's Generative AI to solve real-world issues for our customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner directly with customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.</li>
<li>Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.</li>
<li>Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. 
</li>
<li>Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Applied AI, Agent Building, Google Cloud Platform

Octopus Investments

<div>Company Description 
At Octopus, we&rsquo;re entrepreneurs and we&rsquo;re investors, on a mission to back the people, ideas and industries that will change the world.
We think working here is great, but we&rsquo;re understandably bias. Click here to explore Life at Octopus. 
Job Description 
Team Overview
The DevOps team sits within Engineering and will consist of two DevOps Engineers in total and is responsible for supporting secure, reliable, and scalable engineering delivery across the business.
The team supports four development teams as well as the AI team for deployment and infrastructure needs. It also works closely with the Infrastructure and SecOps teams to maintain services, improve operational resilience, and ensure engineering environments remain secure, stable, and effective.
Job Overview
The Senior DevOps Engineer plays an important role within the Engineering team and the wider business by enabling safe, reliable, and efficient software delivery in a regulated environment. This role is central to the ongoing operation and improvement of CI/CD pipelines, cloud infrastructure, deployment automation, observability, and engineering platform support.
The role works closely with peers in Engineering, technical leads, solution architects, test managers, the AI team, Infrastructure, and SecOps. It is important to both day-to-day delivery and longer-term improvement of engineering practices, helping teams release software more effectively while maintaining strong standards for security, quality, operational control, and cloud architecture.
Responsibilities<ul><li>
Build, maintain, and improve CI/CD pipelines across products and teams.</li></ul><ul><li>
Lead software deployment, release automation, and environment management in Azure.</li><li>
Design, build, and maintain infrastructure using infrastructure-as-code approaches, including Terraform modules where appropriate.</li><li>
Provide DevOps support to four development teams and the AI team for deployment and infrastructure needs.</li><li>
Support the PSS team when needed on platform, deployment, and operational issues within DevOps scope.</li></ul><ul><li>
Lead, support, and drive the further development, rollout, and adoption of the Internal Developer Platform (IDP), helping shape shared tooling, templates, and engineering standards across teams.</li><li>
Monitor platform health, identify issues early, and support operational incident resolution within DevOps scope.</li><li>
Prepare and demonstrate cloud architectural designs for new resources and platform changes.</li><li>
Investigate production incidents within DevOps scope, identify root cause, and drive resolution and improvement actions.</li><li>
Track release dates, gather feedback from technical leads, and help ensure deployments are smooth, secure, and automated with appropriate approval checks.</li></ul> 
Qualifications 
Essential Qualifications
✅ Strong commercial experience in a DevOps, platform engineering, cloud engineering, or similar role.
✅ Experience building, running, and maintaining CI/CD pipelines with minimal supervision.
✅ Strong experience working with Azure cloud services.
✅ Experience using Git-based source control, branching strategies, and version control practices.
✅ Experience writing and troubleshooting Bash and/or PowerShell scripts.
✅ Good understanding of observability concepts including metrics, logs, alerting, and operational visibility.
✅ Good understanding of Linux fundamentals, including scripting, file handling, text processing, system administration, and process management.
✅ Knowledge of relational and non-relational databases such as MSSQL, MySQL, SQLite, MongoDB, and Cosmos DB.
✅ Experience of Terraform and the ability to create and maintain reusable modules.
Preferred Qualifications
✅Experience with Azure DevOps, GitHub Actions, Jenkins, or equivalent tooling.
✅ Experience with Docker or container-based delivery models.
✅ Experience supporting AI or data-focused teams with deployment and infrastructure.
✅ Microsoft Certified: DevOps Engineer Expert.
We encourage you to apply even if you don&rsquo;t tick every box. What&rsquo;s the worst that can happen?
This role will evolve as we grow and develop. So, if you are looking for a challenge in a fast paced and dynamic business, we can deliver on that. 
Additional Information 
What we offer<div>
 A competitive salary, bonus, pension and share incentive plan 
✈️ Take what you need holiday 
 Flexible working 
<ul><li>Anchor (our wellness hub) which includes Headspace, one to one coaching through Sanctus, Parent Cloud, Digital GP, Shout &amp; more</li></ul>
Enhanced family leave policies 
❤️ Life insurance, critical illness cover and income protection 
Private medical insurance for you and your family 
Electric vehicle leasing 
The option to work overseas up to a month per year</div><div></div>
Our Values 
At our core, we believe that how a company behaves is just as important as what it does. That&rsquo;s why we chose to become an accredited B Corp (the equivalent of a Fairtrade coffee stamp but for companies) and to change our Articles of Association so that the interests all our stakeholders &ndash; employees, customers, communities, environment and shareholders &ndash; are considered in every decision we make.
We are committed to building a workplace where diversity is valued, and inclusion is a priority. By providing equal opportunities for growth and development, we embrace and celebrate all races, genders, religions, sexual orientations, ages, disabilities, and socio-economic backgrounds. We believe teams achieve their best when every member feels safe, respected and empowered to be their authentic selves.
We're proud to be disability confident and are committed to supporting candidates with a disability, including neurodiversity and mental health conditions, throughout the recruitment process. Applicants are welcome to opt-in to the disability confident scheme as part of our application process. If you require any adjustments to the interview process, we&rsquo;ll be happy to accommodate where possible.</div>

Senior DevOps Engineer

Explore 295+ Infrastructure software engineer in London this July. Find roles across top companies and apply now to boost your career.