data engineer

ai engineer

senior data engineer

analytics engineer

platform engineer

data infrastructure engineer

Client Server

<div>
 <p>
  <strong>
   <u>
    Software Engineer / Developer (Python SQL) London to &pound;150k+
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you a data savvy Software Engineer with strong Python coding skills?
 </p>
 <p>
  <br/>
 </p>
 <p>
  You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your role:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location / WFH:
  </strong>
 </p>
 <p>
  You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What's in it for you:
  </strong>
 </p>
 <p>
  As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
 </p>
 <ul>
  <li>
   Salary to &pound;150k
  </li>
  <li>
   Bonus
  </li>
  <li>
   Pension
  </li>
  <li>
   Self development and career progression opportunities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply now
  </strong>
  to find out more about this Software Engineer / Developer (Python SQL) opportunity.
 </p>
</div>


Software Engineer Python SQL - Market Data

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

Few&Far

<div>
 <p>
  🚨
  <strong>
   Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
  </strong>
  🚨
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 </p>
 <p>
  <br/>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;525 per day
  </strong>
 </p>
 <p>
  📍
  <strong>
   London - 1 day per week onsite
  </strong>
 </p>
 <p>
  📄
  <strong>
   Outside IR35
  </strong>
 </p>
 <p>
  ⚡
  <strong>
   1-stage interview process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll be working on:
 </p>
 <p>
  ✅ Modernising data lake &amp; data warehouse architecture
 </p>
 <p>
  ✅ Designing, building and optimising ETL/ELT pipelines
 </p>
 <p>
  ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 </p>
 <p>
  ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 </p>
 <p>
  ✅ Writing high-performance SQL and production-quality Python
 </p>
 <p>
  ✅ Improving platform reliability, monitoring and CI/CD
 </p>
 <p>
  ✅ Collaborating with stakeholders to deliver scalable data solutions
 </p>
 <p>
  ✅ Mentoring junior engineers through code reviews and best practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <p>
  ☁️ AWS
 </p>
 <p>
  🐍 Python
 </p>
 <p>
  🗄️ SQL
 </p>
 <p>
  🔄 Airflow (AWS)
 </p>
 <p>
  📊 Looker (nice to have)
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm keen to speak with Data Engineers who have:
 </p>
 <p>
  ✔️ Strong experience building production-grade data pipelines
 </p>
 <p>
  ✔️ Advanced SQL and Python skills
 </p>
 <p>
  ✔️ Experience deploying and supporting ML models in production
 </p>
 <p>
  ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 </p>
</div>


Senior Data Engineer

Foundation Partners Group

<div><p><b>Lead DevOps Engineer</b> Central London (Hybrid, 2&ndash;3 days/week) | Up to &pound;150,000 | Just out of seed</p><p>
Own secure, multi-tenant infrastructure end-to-end, from GitOps to compliance controls, in a hands-on, fast-paced role shaping one of the most ambitious applications of AI today.</p><p><b>
The opportunity</b></p><p>
This is a rare shot to join right at the inflection point. Our client just closed their seed round and is now scaling fast: a team of just 15 building an AI operating system for a demanding, security-conscious industry. A unified intelligence layer that connects evidence, reasoning, and action across a complex, high-stakes lifecycle where getting it right matters enormously.</p><p>
The founding team includes operators who spent years deploying production AI inside some of the world's most demanding enterprise environments. They know what it takes to make ambitious technology hold up under real pressure, and they're now applying that standard to a domain that's ripe for transformation. This is early enough that what you build becomes the foundation everything else stands on, and senior enough that you'll be working alongside people who've done this at the highest level before.</p><p>
The systems being built run inside security-conscious, compliance-bound enterprises, where the infrastructure underneath has to be as trustworthy as the intelligence layered on top of it.</p><p>
The company now needs a Lead DevOps Engineer to own that infrastructure end to end. At a team of 15, this isn't a role where you sit in a queue of tickets. You'll be the single, clear owner of how the company deploys, operates, secures, and scales, across its own platform and across isolated customer environments where the bar for trust is absolute. It's a huge amount of responsibility and autonomy, which is exactly the appeal.</p><p><b>
What you'll own</b></p><ul><li><p>
The GitOps deployment backbone on Argo CD, so a small team can ship continuously and safely across many clusters</p></li><li><p>
Kubernetes on AWS (EKS) across the fleet of production environments</p></li><li><p>
Infrastructure-as-code in Terraform/OpenTofu and Terragrunt, the source of truth for everything the company runs</p></li><li><p>
Multi-tenant, per-customer isolation: standing up a fully isolated, compliant environment for each customer, with its own cluster and data plane, and deploying to it with confidence. This is the hardest and most important part of the job.</p></li><li><p>
Security and compliance posture: secrets management, access controls, infrastructure hardening, and the audit-grade controls customers will hold you to</p></li><li><p>
Observability: telemetry, metrics, logging, tracing, dashboards, and alerting that keep a complex distributed system legible</p></li><li><p>
Reliability, incident response, and the operational runbooks that protect customer trust</p></li><li><p>
CI/CD and release automation that keep the shipping cadence high</p></li><li><p>
Developer experience: making it fast and painless for engineers to deploy and debug</p></li></ul><p><b>
Who we're looking for</b></p><p>
The ideal candidate will have come from a FAANG, Anthropic, OpenAI, Palantir type organisation, or from an exceptional AI startup, where they have personally owned and built the DevOps function while remaining hands on. This isn't someone who managed a team that did the work. It's someone who did the work themselves at a high standard, and knows what world class infrastructure looks like because they've built it before.</p><ul><li><p>
At least 4 years in DevOps, platform engineering, SRE, or infrastructure</p></li><li><p>
You've owned production systems rather than only contributing to them, including multi-tenant or customer-specific environments, and you understand the complexity that comes with them</p></li><li><p>
Deep fluency with Kubernetes, a major cloud (AWS preferred), GitOps, and infrastructure-as-code, plus the judgment to know when not to add another layer</p></li><li><p>
You come from somewhere that held a high bar, and you expect engineering excellence from yourself and the systems around you</p></li><li><p>
You're hands-on and have no interest in a purely architectural role. You explain complex tradeoffs simply and don't over-engineer.</p></li><li><p>
You treat speed, security, cost, and reliability as constraints that all apply at once, and you've struck that balance before</p></li><li><p>
Bonus: you've operated under formal security or compliance regimes (SOC2, HIPAA, or similar) and know how to make controls a strength rather than a tax</p></li></ul><p><b>
Why this role</b></p><ul><li><p><b>
Ground floor of something huge</b>: 15 people, large seed funding, and a mandate to build the infrastructure backbone from the ground up</p></li><li><p><b>
Real ownership</b>: you're not one of many DevOps hires. You're the DevOps hire</p></li><li><p><b>
Central London</b>, hybrid 2&ndash;3 days a week: flexibility without losing the energy of an in-person team</p></li><li><p><b>
Up to &pound;150,000</b>, reflecting the seniority and trust this role carries</p></li></ul><p>
This is a high-intensity, high-stakes role. The team moves quickly and gives direct feedback, the responsibility you carry will likely outrun your title, and you'll go wherever the work needs you most, which sometimes means unglamorous tasks that matter more than anything else that week. The people who thrive here find that kind of ownership and growth exciting, and they weren't looking for a nine-to-five.</p></div>

Lead DevOps Engineer (AI Early Stage Startup)

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>3 years of experience building machine learning solutions and working with technical customers.</li>
<li>Experience designing cloud enterprise solutions and supporting customer projects to completion.</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience working with recommendation engines, data pipelines, or distributed machine learning.</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).</li>
<li>Understanding of the auxiliary practical concerns in production machine learning systems.</li>
<li>Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.</p><br>
<p>
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products.<br>
<br>
In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.</p><p><br>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.</li>
<li>Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.</li>
<li>Create and deliver best practice recommendations, tutorials, blog articles, and sample code.</li>
<li>Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.</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>

AI Infrastructure Engineer

LSEG

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It&rsquo;s how we&rsquo;ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.
 <br/>
 <br/>
 Through a comprehensive suite of trusted financial market infrastructure services &ndash; and our open-access model &ndash; we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.
 <br/>
 <br/>
 LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG&rsquo;s ticker symbol is LSEG.
 <br/>
 <br/>
 <strong>
  OUR PEOPLE
  <br/>
  <br/>
 </strong>
 People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.
 <br/>
 <br/>
 We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.
 <br/>
 <br/>
 We know that real personal growth cannot be achieved by simply climbing a career ladder &ndash; which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.
 <br/>
 <br/>
 As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.
 <br/>
 <br/>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 Lead DevOps Engineer &ndash; Cloud Platform &amp; Site Reliability
 <br/>
 <br/>
 Location: Nottingham or London, UK
 <br/>
 <br/>
 Team: LSEG Risk Intelligence Engineering
 <br/>
 <br/>
 Are you passionate about building scalable, secure, and resilient platforms that power global Risk Intelligence products?
 <br/>
 <br/>
 We&rsquo;re looking for a Lead DevOps Engineer to help drive innovation, mentor the DevOps engineering team and shape the future of our cloud-native infrastructure.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 As a Lead DevOps Engineer, you&rsquo;ll be a hands-on technical leader, guiding the design and implementation of modern DevOps and platform engineering practices:
 <br/>
 <br/>
 <ul>
  <li>
   Automate full-stack infrastructure using Terraform and GitLab
  </li>
  <li>
   Lead the design of CI/CD pipelines with GitLab CI to enable fast, secure, and reliable software delivery
  </li>
  <li>
   Deploy and manage Kubernetes workloads using Amazon EKS and Istio Service Mesh for service discovery, traffic management, and observability
  </li>
  <li>
   Implement monitoring and alerting to ensure high availability, performance, and reliability
  </li>
  <li>
   Collaborate with cross-functional teams to ensure infrastructure aligns with development and business goals
  </li>
  <li>
   Mentor and guide DevOps engineers, fostering a culture of continuous improvement, automation, security and operational excellence
  </li>
  <li>
   Evaluate and implement new technologies to enhance platform capabilities and developer experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrable AWS and Kubernetes (EKS) expertise
  </li>
  <li>
   Hands-on experience with Terraform, GitLab CI and Bash/Python
  </li>
  <li>
   Orchestration and monitoring tools &ndash; Istio, Datadog, Grafana, Prometheus, ELK
  </li>
  <li>
   6+ years in DevOps or Platform Engineering roles experience in a lead role
  </li>
  <li>
   Proven experience building and operating cloud-native platforms
  </li>
  <li>
   Strong communication, problem solving and collaboration skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Development experience in a major language (Java, C++, C# etc.)
  </li>
  <li>
   AWS certifications and financial services background
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Career Stage:
  <br/>
  <br/>
 </strong>
 Senior Associate
 <br/>
 <br/>
 <strong>
  London Stock Exchange Group (LSEG) Information:
  <br/>
  <br/>
 </strong>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 <br/>
 <br/>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 <br/>
 <br/>
 Our purpose is the foundation on which our culture is built. Our values of
 <strong>
  Integrity, Partnership
 </strong>
 ,
 <strong>
  Excellence
 </strong>
 and
 <strong>
  Change
 </strong>
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 <br/>
 <br/>
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 <br/>
 <br/>
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 <br/>
 <br/>
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 <br/>
 <br/>
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 <br/>
 <br/>
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 <br/>
 <br/>
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>


Lead DevOps Engineer

ByDesign Secure

<p><i><b>This role is delivered within secure environments. Candidates must be eligible for UK Security Clearance (SC and DV) and hold UK Citizenship.</b></i></p><p><b>Opening: Join the Mission</b></p><p>At ByDesign Secure, we design and deliver secure-by-default digital platforms for high‑assurance environments. We are currently building a new secure cloud platform based on Google Distributed Cloud (GDC) and are looking for a Security Engineer (SIEM) to lead the design and implementation of its security monitoring and observability capabilities.</p><p>This role offers the opportunity to build a SIEM capability from the ground up, influence security architecture decisions, and directly support SOC operations protecting critical public‑sector services.</p><p><b>About the Opportunity</b></p><p>As a Security Engineer (SIEM) at ByDesign Secure, you will be responsible for building and enhancing our security monitoring and detection capabilities across complex environments. You will design and maintain SIEM use cases, onboard and normalise data sources, and continuously tune detections to improve threat visibility and response.</p><p>Working closely with incident response and platform teams, you will turn security data into actionable insight, helping to strengthen detection coverage, reduce noise, and advance the organisation&rsquo;s overall security maturity.</p><p><b>Role Purpose</b></p><ul><li>As a Security Engineer, you will be responsible for designing, building, and operating the Security Information and Event Management (SIEM) and security observability stack for a new GDC‑based platform.</li><li>You will:</li><li>Define how security logs, metrics, alerts, and telemetry are collected, processed, retained, and visualised.</li><li>Establish a cloud-native SIEM tool and monitoring capability.</li><li>Integrate cloud‑native monitoring with existing on‑premise SOC tooling.</li><li>Enable SOC analysts by providing reliable, actionable security insights.</li><li>You will work closely with cloud engineers, security architects, SOC teams, and external vendors to ensure the solution meets security, operational, and compliance requirements.</li></ul><p><b>What You&rsquo;ll Be Doing</b></p><p><b>SIEM Architecture &amp; Design</b></p><ul><li>Work with security and solution architects to design the end‑to‑end SIEM architecture for a secure Google Distributed Cloud (GDC) environment.</li><li>Define log, event and telemetry standards across platform, infrastructure, Kubernetes, and application layers.</li><li>Decide which data sources are monitored locally versus forwarded to an existing on‑prem SIEM.</li></ul><p><b>SIEM Implementation &amp; Integration</b></p><ul><li>Deploy Elastic SIEM using standard or shared Kubernetes clusters where appropriate.</li><li>Configure secure log forwarding from GDC components to an on‑prem SIEM over dedicated, encrypted network links.</li><li>Integrate cloud audit logs, Kubernetes logs, workload logs, and security tooling into Elastic and on‑prem platforms.</li></ul><p><b>Detection Engineering &amp; SOC Enablement</b></p><ul><li>Implement detections‑as‑code, version‑controlled and automated through CI/CD pipelines.</li><li>Create and tune detection rules, alerts, and dashboards for SOC analysts.</li><li>Align detections with threat intelligence and playbooks (e.g. Mandiant‑aligned SOC workflows).</li></ul><p><b>Observability &amp; Troubleshooting</b></p><ul><li>Support monitoring of logs, metrics, and security signals to aid both security response and operational debugging.</li><li>Enable Platform Admins and Application Operators to self‑serve diagnostics while maintaining security boundaries.</li></ul><p><b>Documentation &amp; Guidance</b></p><ul><li>Produce clear guidance for:</li><li>Platform Administrators configuring SIEM integrations</li><li>Application teams onboarding workloads and logs</li><li>SOC analysts using dashboards, alerts, and queries</li><li>Contribute to runbooks, operational procedures, and incident response documentation.</li></ul><p><b>Security &amp; Compliance</b></p><ul><li>Ensure logging and monitoring meet UK Government and high‑assurance security requirements.</li><li>Support audits, assurance activities, and continuous improvement of the monitoring posture.</li></ul><p><b>What You&rsquo;ll Bring</b></p><p><b>Essential Skills &amp; Experience</b></p><ul><li>Strong experience as a Security Engineer, Detection Engineer or SIEM Engineer.</li><li>Hands‑on experience designing or operating SIEM solutions in cloud or hybrid environments.</li><li>Practical knowledge of Elastic SIEM / Elastic Stack, including:</li><li>Indexing and ingest pipelines</li><li>Detection rules and alerts</li><li>Dashboards and visualisations</li><li>Experience working with Kubernetes environments and their logging/monitoring patterns.</li><li>Familiarity with secure log forwarding, encryption, and network‑restricted environments.</li><li>Ability to work closely with SOC teams and translate security requirements into technical implementations.</li></ul><p><b>Cloud &amp; Platform Knowledge</b></p><ul><li>Experience with Google Cloud Platform (GCP) or Google Distributed Cloud (GDC).</li><li>Understanding of cloud audit logs, identity logs, and platform‑level telemetry.</li><li>Experience deploying tools through cloud marketplaces or CI/CD pipelines.</li></ul><p><b>Ways of Working</b></p><ul><li>Comfortable working in high‑assurance, regulated environments.</li><li>Strong documentation and communication skills.</li><li>Able to work independently and take ownership of complex security integrations.</li></ul><p><b>Bonus Points For</b></p><ul><li>Existing UK Government Security Clearance (SC or above)</li><li>Hands‑on experience with Elastic Cloud on Kubernetes (ECK).</li><li>Experience implementing detections as code using Git, CI/CD, and infrastructure‑as‑code.</li><li>Knowledge of threat frameworks.</li><li>Familiarity with UK Government security standards and assurance processes</li></ul><p><b>Clearance Requirements:</b></p><ul><li><i><b>This role requires either an existing Security Clearance (SC level) or for one to be passed before commencement. There must be a willingness to undergo Developed Vetting (DV)</b></i></li></ul><p><b>Work Location: </b>Hybrid remote in London</p><p><b>Job Types: </b>Temporary, Fixed term contract</p><p>Job Types: Fixed term contract, Temporary</p><p>Pay: &pound;625.00 per day</p><p>Application question(s):</p><ul><li>Do you currently hold active UK SC clearance? </li><li>Do you hold UK nationality? (Required due to client security restrictions) </li><li>Are you eligible and willing to undergo UK SC/DV clearance for this role? (Applications without this cannot be considered)</li><li>Does your delivery approach allow for on-site presence in London when required (typically around 3 days per week)?</li></ul><p>Work Location: Hybrid remote in London</p>

Security Engineer (SIEM) – SC Eligible – Government Projects

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