senior software engineer

ai engineer

software engineer

full stack engineer

lead software engineer

senior engineer

Janus Henderson Investors

<div>Why work for us? 


A career at Janus Henderson is more than a job, it&rsquo;s about investing in a brighter future together.

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. 


Our Values are key to driving our success, and are at the heart of everything we do: 


Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust 


If our mission, values, and purpose align with your own, we would love to hear from you! 
<div></div>
<div>
Your opportunity</div> 
<div></div>
<div>
As a Senior Engineer within Platform Engineering, you will lead the design, build, and evolution of our Internal Developer Platform (IDP), enabling consistent, secure, and scalable software delivery across the enterprise. This role combines DevOps engineering, platform architecture, and developer experience enablement, with a strong focus on CI/CD transformation (Azure DevOps to GitHub), platform tooling, and data platform integration (Snowflake, Databricks). You will act as a subject matter expert (SME) across DevOps tooling, automation, and platform reliability&mdash;driving best practices, standardisation, and self‑service capabilities for engineering teams.</div> 
<div></div>
<ul>
<li>Design, build, and evolve enterprise platform services to support the Internal Developer Platform (IDP) and enable scalable, secure, and self-service engineering environments.</li>
<li>Lead DevOps transformation initiatives, including migration from Azure DevOps to GitHub, and implement standardised CI/CD pipelines, reusable workflows, and release automation frameworks.</li>
<li>Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, Bicep, or similar tools to provision and manage cloud infrastructure.</li>
<li>Deliver and optimise cloud-native platforms on Azure (primary), ensuring scalability, resilience, and cost efficiency.</li>
<li>Act as SME across DevOps tooling, including GitHub (Actions, Advanced Security), Nexus (artifact management), and Veracode (application security), embedding security controls into pipelines and platform services.</li>
<li>Enable and support DevOps practices for core data platforms, including Snowflake and Databricks, covering environment provisioning, CI/CD integration, and access control models.</li>
<li>Implement observability frameworks, including monitoring, logging, and alerting, and contribute to SRE practices such as SLIs/SLOs, reliability engineering, and incident management.</li>
<li>Embed security and compliance standards into all platform components, ensuring auditability, policy enforcement, and alignment with enterprise governance requirements.</li>
<li>Drive developer experience improvements through platform standardisation, self-service tooling, templates, and AI-enabled capabilities (e.g., Copilot, intelligent automation).</li>
<li>Collaborate with Architecture, Cloud COE, SRE, and engineering teams to deliver consistent and governed platform capabilities across the organisation.</li>
<li>Mentor junior engineers and contribute to technical leadership, standards definition, and engineering best practices.</li></ul> 
<div></div>
<div>
What to expect when you join our firm</div> 
<div></div>
<ul>
<li>Hybrid working and reasonable accommodations</li>
<li>Generous Holiday policies</li>
<li>Excellent Health and Wellbeing benefits including corporate membership to Wellhub</li>
<li>Paid volunteer time to step away from your desk and into the community</li>
<li>Support to grow through professional development courses, tuition/qualification reimbursement and more</li>
<li>Maternal/paternal leave benefits and family services</li>
<li>All employee events including networking opportunities and social activities</li>
<li>Lunch allowance for use within our subsidized onsite canteen</li></ul> 
<div></div>
<div>
Must have skills</div> 
<div>
</div><ul><li>Bachelor&rsquo;s or master&rsquo;s in computer science, Engineering, or related field</li>
<li>6+ years of experience in platform engineering, DevOps, or infrastructure roles</li>
<li>Strong experience with cloud platforms (Azure preferred)</li>
<li>Proficiency in containerization (Docker, Kubernetes)</li>
<li>Hands-on with CI/CD tools (GitHub, Azure DevOps, GitLab CI)</li>
<li>Experience with IaC tools (Terraform, Pulumi, Ansible)</li>
<li>Strong experience in DevOps, Platform Engineering, or Infrastructure Engineering roles within enterprise environments</li>
<li>Proven expertise in CI/CD pipeline design, automation, and standardisation using GitHub (Actions, Advanced Security) and Azure DevOps, including migration from ADO to GitHub</li>
<li>Deep hands-on experience with Infrastructure-as-Code (Terraform, Bicep or equivalent) and automated cloud provisioning</li>
<li>Strong knowledge of Azure cloud platform, including compute, networking, identity, and security services</li>
<li>Experience implementing DevSecOps practices, including integration of SAST/DAST tools (e.g., Veracode), secrets management, and secure pipeline execution</li>
<li>Expertise in artifact management (e.g., Nexus) and modern DevOps tooling ecosystems</li>
<li>Experience enabling Internal Developer Platform (IDP) capabilities, including self-service provisioning, reusable templates, and platform standardisation</li>
<li>Solid understanding of software development lifecycle (SDLC), release engineering, and environment lifecycle management</li>
<li>Experience working with data platforms (Snowflake and/or Databricks), including CI/CD integration, environment provisioning, and access control models</li>
<li>Strong knowledge of containerisation and cloud-native technologies (Docker, Kubernetes)</li>
<li>Experience with observability and monitoring frameworks (e.g., Azure Monitor, Prometheus, Grafana) and understanding of SRE practices (SLIs/SLOs, reliability engineering)</li>
<li>Strong scripting/programming skills (Python, PowerShell, Bash) and automation mindset</li>
<li>Good understanding of security, networking, RBAC, and Zero Trust principles in cloud and DevOps environments</li>
<li>Exposure to AI-enabled developer tooling (e.g., GitHub Copilot, intelligent automation) and improving developer experience</li>
<li>Experience operating in regulated, enterprise-scale environments with strong focus on governance, auditability, and compliance</li>
<li>Strong communication, collaboration, and stakeholder management skills, with ability to act as a hands-on SME and technical leader</li></ul> 

<div>
Nice to have skills</div> 
<div>
</div><ul><li>Certifications in cloud technologies or Kubernetes.</li>
<li>Experience building or contributing to an Internal Developer Platform (IDP)</li>
<li>Familiarity with service mesh, API gateways, and platform observability tools</li>
<li>Knowledge of FinOps, cost optimization, and cloud governance</li>
<li>Solid programming skills (Python, Go, or Java)</li>
<li>Strong understanding of networking, security, and system architecture</li>
<li>Experience building or contributing to an Internal Developer Platform (IDP)</li>
<li>Exposure to AI-enabled development (e.g., GitHub Copilot, automation workflows)</li>
<li>Knowledge of FinOps, cost optimisation, and cloud governance</li>
<li>Relevant cloud or Kubernetes certifications</li></ul> 
<div></div>
<div>
Supervisory responsibilities</div> 
<div></div>
<ul>
<li>No</li></ul> 
<div></div>
<div>
Potential for growth</div> 
<div></div>
<ul>
<li>Mentoring</li>
<li>Leadership development programs</li>
<li>Regular training</li>
<li>Career development services</li>
<li>Continuing education courses</li>
<li>Cross functional collaboration</li></ul> 
<div></div>
<div>
You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role.</div> 
<div></div>
<div>
At Janus Henderson Investors we&rsquo;re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don&rsquo;t worry if you don&rsquo;t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can&rsquo;t accommodate every flexible working request, we&rsquo;re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.
</div>Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. 


Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. 


Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. 


Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee&rsquo;s job functions (as determined by Janus Henderson at its sole discretion). 


You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants&rsquo; past political contributions or activity may impact applicants&rsquo; eligibility for this position. 


You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.</div>

Senior Engineer- Platform Engineering

Graphcore

<div>
 
 About The Job
 
 
 
 Validate the ML stack that turns accelerator hardware into trusted AI performance.
 
 
 This role sits where modern ML models meet Graphcore&rsquo;s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.
 
 
 Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.
 
 
 You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.
 
 
 This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.
 
 
 The team and culture
 
 
 The ML QA team is where Graphcore&rsquo;s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.
 
 
 Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.
 
 
 You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 Strong experience in Machine Learning or ML-adjacent software engineering roles.
 </li>
 <li>
 A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
 </li>
 <li>
 Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
 </li>
 <li>
 Strong Python skills for automation, experimentation, benchmarking and reporting.
 </li>
 <li>
 Experience designing, running and analysing ML benchmarks or model experiments.
 </li>
 <li>
 Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Unlimited annual leave
 </li>
 <li>
 Up to 5% matched pension
 </li>
 <li>
 Phantom equity &ndash; share in Graphcore&rsquo;s success
 </li>
 <li>
 True flexibility in how and where you work
 </li>
 <li>
 Office spaces designed for collaboration
 </li>
 <li>
 Free food and an on-site barista
 </li>
 <li>
 Health cash plan
 </li>
 <li>
 Income protection
 </li>
 <li>
 Life assurance
 </li>
 <li>
 Along with other benefits you can choose from (private medical insurance, dental plan etc)
 
 
 </li>
 </ul>
 We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
 
 
 We&rsquo;re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we&rsquo;re happy to support you.
 
 
 Join the Team at Graphcore
 
 
 Graphcore is one of the world&rsquo;s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
 
 
 As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world&rsquo;s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
 
 
 Graphcore&rsquo;s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.
 
 
 If you want to validate the systems behind next generation AI compute, we&rsquo;d love to hear from you. Apply now to help build what comes next.
</div>

Senior Engineer (ML Engineer)

<div><h3 class="jobSectionHeader">About the job</h3>

Validate the ML stack that turns accelerator hardware into trusted AI performance.

This role sits where modern ML models meet Graphcore's software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.

Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.

You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.

This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.
<h3 class="jobSectionHeader">
The team and culture</h3>

The ML QA team is where Graphcore's ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.

Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.

You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.
<h3 class="jobSectionHeader">
What we're looking for</h3>
<ul><li>Strong experience in Machine Learning or ML-adjacent software engineering roles.</li><li>A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.</li><li>Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.</li><li>Strong Python skills for automation, experimentation, benchmarking and reporting.</li><li>Experience designing, running and analysing ML benchmarks or model experiments.</li><li>Confident debugging skills in Linux, with curiosity about model behaviour and system performance.</li></ul>
<h3 class="jobSectionHeader">
Benefits</h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
<h3 class="jobSectionHeader">
Join the Team at Graphcore</h3>

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to validate the systems behind next generation AI compute, we'd love to hear from you. Apply now to help build what comes next.</div>

Burns Sheehan

<div>
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
 
 
 
 
 
 📍 London (Hybrid, 3 days per week)
 
 
 
 
 
 
 
 💵 &pound;80,000 &ndash; &pound;90,000 + 10-20% Bonus
 
 
 
 
 
 
 
 💻 Python, Django, Flask, Pandas, APIs, Airflow, Data Processing
 
 
 
 
 
 
 
 📈 Growing Private Credit technology platform
 
 
 
 
 
 
 
 ⚙️ Backend ownership, platform engineering and data-adjacent challenges
 
 
 
 
 
 
 
 
 
 We're partnered with a specialist technology business operating within the Private Credit and Asset Finance space. Following multiple new client wins and a significant increase in platform demand, they're expanding their engineering team with the hire of a Senior Backend Engineer.
 
 
 
 
 
 This is a genuine ownership role within a small, highly capable engineering team. Engineers are responsible for features and components from design through to delivery, working closely with technical leadership and domain experts to shape the future of the platform.
 
 
 
 
 
 The business has built a sophisticated software platform used to manage and monitor complex financial workflows. As new projects continue to onboard, they're looking for an experienced Python engineer to help scale backend services, APIs and data-processing capabilities across the platform.
 
 
 
 
 
 One of the more interesting aspects of the opportunity is the level of influence available. There is no traditional product management layer, meaning engineers have direct input into technical decisions, ownership of meaningful components and the opportunity to shape how the platform evolves.
 
 
 
 
 
 
 Ideal profile:
 
 
 
 &bull; 5+ years' commercial software engineering experience
 
 
 &bull; Strong Python backend development experience
 
 
 &bull; Commercial experience with Django, Flask or similar frameworks
 
 
 &bull; Experience building APIs and backend services in production environments
 
 
 &bull; Comfortable working with data-processing workflows, ETL pipelines or DataFrame-style tooling
 
 
 
 
 
 
 
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
</div>

Senior Software Engineer

Liberis

<div>Some key info for you:

 We were founded in 2007

 We have provided over $3bn of funding to small businesses so far

 We have been named in CNBC &amp; Statista Top 150 UK Fintechs for 2025

 We're a global team, with a dynamic presence in 6 key locations around the world

 We're a thriving community of over 290 innovative minds

 We're a vibrant melting pot, celebrating over 27 nationalities in our team

 Our team brings experience from over 740 previous companies, from startups to global giants

 We have just been named as one of FinTech's Finest 50 by Welcome to the Jungle

 We're proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do 


Our Product &amp; Engineering Team:

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.

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. 


The role:

At Liberis, we're building a global engineering team that thrives on autonomy, ownership, and focused on impact. Our engineers don't just write code &mdash; they solve real-world problems for small businesses, shaping products that unlock opportunity at scale. As a Senior Engineer, you will be a key mentor to other members of the Engineering team - supporting us to continually develop and push the boundaries of what a scaling, multi-product FinTech organisation can achieve!

We're hiring across a number of teams in our Engineering org, so we'd love to have a conversation about where you could make the biggest impact!

You'll start with an informal chat with Chess (our Internal Recruiter), who will give you more insight into Liberis and what you're looking for next. From there, we'll talk you through the teams we're hiring for and look at which roles could be the best fit.

Whether you're passionate about building customer-facing products, scaling platforms, working with data, or exploring how AI can transform the way we build software, we're looking for engineers who enjoy solving complex problems and taking ownership of what they deliver! 


The interview process:
<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> 


What We Think You'll Need
<ul>
<li>Proven success writing code in two or more programming languages.</li>
<li>A willingness to learn our tech stack - mostly C# .net, Node and React.</li>
<li>Proven experience developing APIs and services</li>
<li>An understanding of working with Agile methods, such as Extreme Programming, Kanban, or Scrum.</li>
<li>Experience mentoring more junior team members.</li>
<li>Resilience in early-stage business situations, where requirements are evolving and experimentation is required.</li>
<li>Bonus points if you have experience of cloud technologies (we are moving to GCP); experience using highly collaborative methods such as ensemble, mob, or pair programming; experience writing financial software; or experience with Test Driven Development.</li></ul> 


N.B - there is an 'on-call' element to this role, which Chess will outline at the screening stage 


Next steps If this opportunity feels like the right fit for your next career move, we'd love to hear from you!

Even if you don't meet every requirement, don't hesitate to apply or reach out to Chess (Internal Recruiter) on chess.crossley@liberis.com 


Our hybrid approach

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, but ideally 4 days. 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 


#LI-FC1</div>

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

ZNG Cover

About ZNG CoverZNG Cover is the leading embedded insurer for the luxury goods industry. ZNG revolutionises the world of insurance by providing specialist, invite-only insurance.We are a fast-growing company with a driven, motivated team that is excited about what we&rsquo;re doing. We want to hire people who will share in our excitement at building this business.The successful candidate will be working within a tight team, with opportunities for personal and professional development, and most importantly they will create opportunities for themselves. ZNG is growing and we want people who will grow with us.About the RoleWe are currently seeking a Senior DevOps Engineer to join the development team. You will be primarily responsible for managing cloud infrastructure, DevOps processes, and CI/CD pipelines.As a Senior DevOps Engineer you will be tasked with the following:<ul><li>Designing, implementing, and maintaining AWS infrastructure, including core services such as App Runner, ECS, CloudFormation, Lambda, ECR, and IAM</li><li>Leading the implementation of new infrastructure for new territories</li><li>Managing CI/CD pipelines with Bitbucket and GitHub to deploy containerised applications</li><li>Improving platform reliability, scalability, and monitoring</li><li>Contributing to infrastructure-as-code best practices</li><li>Supporting application security and cloud governance</li><li>Helping shape technical architecture decisions</li><li>Collaborating closely with product, design, and engineering teams</li></ul>We are looking for someone that has:<ul><li>Experience as a DevOps Engineer</li><li>Demonstrable skills creating and maintaining AWS infrastructure, CI/CD pipelines, and Docker</li><li>An Associate or Professional-level AWS certification</li><li>Excellent English verbal and written communication skills</li></ul>Pay: &pound;55,000.00-&pound;70,000.00 per yearBenefits:<ul><li>Casual dress</li><li>Company pension</li><li>Cycle to work scheme</li><li>Employee discount</li><li>Free or subsidised travel</li><li>Sabbatical</li></ul>Work Location: Hybrid remote in London N1 6ED

Senior DevOps Engineer

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270 senior engineer jobs In London

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