software engineer

senior software engineer

lead software engineer

senior backend engineer

staff software engineer

backend python developer

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

Navan

<div><p>We are looking for a Senior Backend Platform Developer to build modern services for Navan's contact center systems. This is a software engineering role first: where you will design APIs, serverless services, data flows, observability tooling, and AI-enabled workflows that support our customer and agent experience.</p>
<p>
The contact center is the domain, but the core need is strong development capability. The right person is comfortable building production systems, integrating complex platforms, and using AI-assisted engineering tools to move quickly without sacrificing quality.</p>
<p><b>
What You'll Do:</b></p>
<ul>
<li>Production-grade Node.js services on AWS Lambda, API Gateway, and event-driven serverless patterns.</li>
<li>Secure APIs and integrations across internal systems, customer data, and third-party platforms.</li>
<li>Technical patterns, implementation standards, and reusable services for the broader contact center systems roadmap.</li>
<li>Observability pipelines using OpenSearch, CloudWatch, Kibana, Snowflake, and structured logging.</li>
<li>Automation and AI-enabled workflows that improve routing, agent support, troubleshooting, and operational visibility.</li>
<li>Migration tooling and services that help move legacy telephony and contact center workflows onto modern platforms, with enough design discipline to support future scale.</li>
</ul>
<p><b>What We're Looking For</b></p>
<ul>
<li>5+ years of backend software engineering experience, ideally with Node.js or TypeScript.</li>
<li>Strong API design, system architecture, integration, debugging, and asynchronous systems experience.</li>
<li>Hands-on experience with AWS Lambda or similar cloud/serverless architecture.</li>
<li>Experience with logging, monitoring, search, data pipelines, or production observability.</li>
<li>Practical use of AI coding assistants for development, testing, refactoring, and troubleshooting.</li>
<li>Fluency with GitHub workflows, including pull requests, code review, branching, and CI/CD collaboration.</li>
<li>Senior-level judgment to turn ambiguous operational problems into clean, maintainable technical solutions.</li>
</ul>
<p><b>Helpful Domain Experience</b></p>
<ul>
<li>Experience in contact center, telephony, customer support, or workflow automation environments.</li>
<li>Exposure to platforms such as Genesys Cloud, Twilio, Five9, NICE, Zoom Contact Center, or Avaya.</li>
<li>Familiarity with routing, queues, IVR, SIP, phone number management, call metadata, or agent-assist workflows.</li>
<li>Experience with Snowflake SQL, Terraform, CloudFormation, AWS SAM, or related infrastructure tooling.</li>
</ul>
<p>This senior role will help Navan modernize the technical foundation behind our contact center environment. The work includes legacy platform migration, improved reliability and observability, AI-enabled automation, and new services that make our customer and agent experiences faster, smarter, and easier to operate.</p></div>

Senior Backend Platform Developer, Contact Center Systems

Wise

<div><b>Company Description</b><p><br>
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money.<br>
<b>Min fees. Max ease. Full speed.</b></p><p>
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.</p><p>
As part of our team, you will be helping us create an entirely new network for the world's money.<br>
<b>For everyone, everywhere.</b></p><p>
More about <b>our mission</b> and <b>what we offer</b>.</p><b><br>
Job Description</b><p><b><br>
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.</b></p><p><b>
Your work will have a direct impact on </b><b>Wise&rsquo;s mission</b><b> and millions of our customers.</b><br>
</p><p><b>About the Role:</b></p><p>
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.</p><p>
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:</p><p>
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.</p><p><b>
What you&rsquo;ll own</b></p><ul><li><p>
Python microservices that run quantitative models in production</p></li><li><p>
Monitoring, alerting, and reliability for real-time pricing and risk systems</p></li><li><p>
Shared quant libraries used across multiple services</p></li><li><p>
CI/CD pipelines, deployment and operational excellence</p></li><li><p>
Incident response and root cause analysis for production issues</p></li></ul><p><b>
Where you&rsquo;ll grow</b></p><ul><li><p>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</p></li><li><p>
Pricing models for new instruments and products</p></li><li><p>
Trading strategy development and optimisation</p></li><li><p>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</p></li><li><p>
Backtesting frameworks and model validation</p></li><li><p>
Customer behaviour modelling, pricing strategy and product launch support</p></li><li><p>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</p></li></ul><b><br>
Qualifications</b><p></p><p><b><br>
What we&rsquo;re looking for</b></p><ul><li><p>
4+ years building and maintaining production Python systems</p></li><li><p>
Strong experience with microservices, databases, and production infrastructure</p></li><li><p>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</p></li><li><p>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</p></li><li><p>
Experience with testing, monitoring, and debugging complex systems under load</p></li><li><p>
A product mindset - you think about who uses your systems and why</p></li><li><p>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</p></li></ul><p><b>
It&rsquo;s a bonus if you are familiar with</b></p><ul><li><p>
FX or financial markets experience</p></li><li><p>
Term structure modelling, stochastic calculus or Monte Carlo methods</p></li><li><p>
Interest rate curve bootstrapping</p></li><li><p>
Algorithmic execution experience</p></li><li><p>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</p></li></ul><p><b>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.</b></p><p><b>
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.</b></p><p><b>
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic</b></p><b><br>
Additional Information</b><div></div><p><br>
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.</p><p>
We're proud to have a truly international team, and we celebrate our differences.<br>
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.</p><p>
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.</p><p>
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</p></div>

Lead Data Scientist (Quant) - Treasury FX

Wise Australia Investments

<p></p><div><div><div><p>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money.<br>
<b>Min fees. Max ease. Full speed.</b></p><p>
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.</p><p>
As part of our team, you will be helping us create an entirely new network for the world's money.<br>
<b>For everyone, everywhere.</b></p><p>
.</p><p><b><br>
Job Description</b></p><p><b><br>
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.</b></p><p><b>
Your work will have a direct impact on </b><b>Wise&rsquo;s mission</b><b> and millions of our customers.</b><br>
</p><p><b>About the Role:</b></p><p>
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.</p><p>
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:</p><p>
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.</p><p><b>
What you&rsquo;ll own</b></p><ul><li><p>
Python microservices that run quantitative models in production</p></li><li><p>
Monitoring, alerting, and reliability for real-time pricing and risk systems</p></li><li><p>
Shared quant libraries used across multiple services</p></li><li><p>
CI/CD pipelines, deployment and operational excellence</p></li><li><p>
Incident response and root cause analysis for production issues</p></li></ul><p><b>
Where you&rsquo;ll grow</b></p><ul><li><p>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</p></li><li><p>
Pricing models for new instruments and products</p></li><li><p>
Trading strategy development and optimisation</p></li><li><p>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</p></li><li><p>
Backtesting frameworks and model validation</p></li><li><p>
Customer behaviour modelling, pricing strategy and product launch support</p></li><li><p>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</p></li></ul><p><b><br>
Qualifications</b></p><p></p><p><b><br>
What we&rsquo;re looking for</b></p><ul><li><p>
4+ years building and maintaining production Python systems</p></li><li><p>
Strong experience with microservices, databases, and production infrastructure</p></li><li><p>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</p></li><li><p>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</p></li><li><p>
Experience with testing, monitoring, and debugging complex systems under load</p></li><li><p>
A product mindset - you think about who uses your systems and why</p></li><li><p>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</p></li></ul><p><b>
It&rsquo;s a bonus if you are familiar with</b></p><ul><li><p>
FX or financial markets experience</p></li><li><p>
Term structure modelling, stochastic calculus or Monte Carlo methods</p></li><li><p>
Interest rate curve bootstrapping</p></li><li><p>
Algorithmic execution experience</p></li><li><p>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</p></li></ul><p><b>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.</b></p><p><b>
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.</b></p><p><b>
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic</b></p><p><b><br>
Additional Information</b></p><div></div><p><br>
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.</p><p>
We're proud to have a truly international team, and we celebrate our differences.<br>
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.</p><p>
If you want to find out more about what it's like to work at Wise visit <b>Wise.Jobs</b>.</p><p>
Keep up to date with life at Wise by following us on </p></div></div><p></p><div><div><div><div><b>Instagram</b></div></div></div></div></div><div></div>

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (UK-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

UK Government - Department for Science, Innovation & Technology

<div><div><h2 class="jobSectionHeader"><b>Details</b></h2>
<div><h3 class="jobSectionHeader"><b>Reference number</b></h3>
<div>468917
</div></div><div><h3 class="jobSectionHeader"><b>Salary</b></h3><div>
&pound;69,675 - &pound;90,756</div></div><div><div>
Salary is paid within the grade range shown below.
<br>
As this is a GDAD role, the maximum salary includes a non-pensionable technical allowance, and successful candidates will be appointed somewhere within that range depending on assessment.
<br>
<br>
Grade 6
<br>
National: &pound;69,675 to &pound;82,318 (maximum includes &pound;12,643 non-pensionable allowance)
<br>
London: &pound;74,605 to &pound;90,756 (maximum includes &pound;16,151 non-pensionable allowance)</div></div><div><div>
A Civil Service Pension with an employer contribution of 28.97%</div></div>
<div>GBP</div>
<div><h3 class="jobSectionHeader"><b>Job grade</b></h3><div><div>
Grade 6</div></div></div><div><h3 class="jobSectionHeader"><b>
Contract type</b></h3><div>
Permanent</div></div><div><h3 class="jobSectionHeader"><b>
Business area</b></h3><div>
DSIT - Digital, Technologies and Telecoms</div></div><div><h3 class="jobSectionHeader"><b>
Type of role</b></h3><div>
Other</div></div><div><h3 class="jobSectionHeader"><b>
Working pattern</b></h3><div>
Flexible working, Full-time, Job share, Part-time</div></div><div><h3 class="jobSectionHeader"><b>
Number of jobs available</b></h3><div>
2</div></div></div>
<div><div><h2 class="jobSectionHeader"><b>Contents</b></h2></div><div><ul><li>
Location</li><li>
About the job</li><li>
Benefits</li><li>
Things you need to know</li><li>
Apply and further information</li></ul></div><div><h2 class="jobSectionHeader"><b>
Location</b></h2></div><div><div>
Bristol, London, Manchester</div></div><div><h2 class="jobSectionHeader"><b>
About the job</b></h2></div><div><h3 class="jobSectionHeader"><b>
Job summary</b></h3><div><h2 class="jobSectionHeader"><b>
Incubator for AI, i.AI</b></h2><h3 class="jobSectionHeader"><b>
Help build the platform behind some of the most ambitious AI products in government</b></h3><p>
This is not a conventional platform engineering role.</p><p>
At i.AI, you will help build the cloud platform that enables teams to deliver frontier AI products into real world public services. Your work will shape the foundations that allow AI systems to move from idea to production securely, reliably and at pace.</p><p>
You will join a highly capable engineering team with a flat structure, strong technical standards and a high degree of autonomy. This is an environment for engineers who want to solve hard problems, influence architecture, improve how teams build, and work on technology that has visible impact beyond the organisation itself.</p><p>
If you are excited by platform engineering, modern cloud infrastructure, AI enabled systems and the challenge of making advanced technology work in the real world, this is a rare opportunity to do all of that in one role.</p></div></div><div><h3 class="jobSectionHeader"><b>
Job description</b></h3><div><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We are looking for a Lead Cloud Platform Engineer to help design, build and operate the platform that powers AI product delivery.</p><p>
This is a hands-on technical leadership role for an engineer who combines deep cloud platform expertise with broad strength across architecture, security, software engineering and AI platform concerns. You will operate as a T shaped engineer, bringing both technical depth and the judgement to work across disciplines when needed.</p><p>
You will play a central role in defining how platform capabilities are built, adopted and evolved. You will lead through technical credibility, not hierarchy, helping teams solve complex problems while raising the bar for engineering quality across the platform.</p><h2 class="jobSectionHeader"><b>
What you will work on</b></h2><ul><li><b>
End to end platform engineering: </b>You will own the technical delivery of platform initiatives from concept through to production. That means taking ambiguous problems, making clear architectural decisions, and building secure, scalable cloud components that teams can depend on.</li><li><b>
Platform as a product: </b>You will work backwards from user needs to build technical capabilities that improve the developer experience. You will create reusable patterns for local development, pipelines, environments, observability and operational ergonomics, helping teams ship faster with less friction.</li><li><b>
AI workload enablement: </b>You will support the delivery of production AI systems and agentic workloads. You will build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability and cost control.</li><li><b>
Intelligent automation and security: </b>You will treat security as a first class engineering concern, building automated controls for software supply chain security, secrets management and policy as code. You will also actively use GenAI capabilities to reduce operational toil, introduce intelligent guardrails and streamline developer workflows.</li><li><b>
Technical leadership: </b>You will help shape platform direction through strong engineering judgement and hands on delivery. You will mentor other engineers, introduce better patterns and balance the needs of individual teams with platform wide coherence.<br>
</li></ul><h2 class="jobSectionHeader"><b>
Why join i.AI</b></h2><p>
This is a chance to work on platform engineering at a point where cloud, software delivery and AI are converging fast.</p><p>
You will have the opportunity to:</p><ul><li>
Build for real production AI use cases rather than isolated experiments</li><li>
Work with frontier models and modern AI tooling as part of day to day engineering</li><li>
Solve platform problems that span reliability, developer experience, security and AI enablement</li><li>
Influence architecture and technical standards in a high trust, high agency team</li><li>
Contribute to products with meaningful real world impact</li></ul><p>
For the right engineer, this role offers a combination that is hard to find elsewhere: complex platform work, genuine technical ownership, access to advanced AI tooling, and the chance to help shape how ambitious AI products are delivered in practice.</p><h2 class="jobSectionHeader"><b>
Our stack</b></h2><p>
You do not need to be an expert in every tool from day one, but our technical ecosystem includes:</p><ul><li><b>
Cloud infrastructure: </b>AWS including ECS, Lambda, CloudFront, RDS and S3, alongside multi cloud integration patterns across Azure and GCP.</li><li><b>
Containerisation and delivery: Docker and podman, container orchestration, GitHub Actions for CI and CD, infrastructure automation, and robust deployment patterns including rolling, canary and blue green.</b></li><li><b>
Development: </b>Terraform, Python with FastAPI, and JavaScript or TypeScript with Next.js, Astro and Node.js.AI platform layer: Tooling for model routing, tracing and evaluation, such as LiteLLM and Langfuse, integrated with modern AI frameworks including LangGraph, DSPy and Inspect.</li><li><b>
AI harness: </b>OpenCode and Claude Code, with full access to frontier models from OpenAI, Anthropic and Google for both developer augmentation and platform integration.</li><li><b>
Observability: </b>AWS CloudWatch for logs, metrics and alarms, alongside Grafana, Sentry and X Ray for monitoring and tracing.</li><li><b>
Security: </b>Supply chain tooling including SAST, SCA and SBOMs, policy as code, runtime assurance including CSPM and DAST, and automated IAM and secrets management.</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Person specification</b></h3><div><h2 class="jobSectionHeader"><b>
Who we think will thrive in this role</b></h2><p>
We are looking for an experienced lead level engineer who is energised by building platforms that matter.</p><p>
You may be a strong fit if you bring some of the following:</p><ul><li>
Strong hands on experience building and operating cloud platforms in production, with AWS strongly preferred</li><li>
Deep understanding of platform architecture, distributed systems design, networking fundamentals and reliability concepts such as SLOs, tracing and alerting</li><li>
A mindset for applying AI internally, with experience or strong interest in using GenAI and LLM assisted tooling to reduce repetitive operational work and improve platform resilience</li><li>
Practical experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling and policy as code</li><li>
Experience supporting AI or ML systems in production, including model serving, MLOps, agentic orchestration, or prompt and inference cost trade offs</li><li>
Practical proficiency in software development and strong capability in infrastructure automation</li><li>
A track record of defining reusable patterns and evolving engineering standards, rather than simply delivering one off solutions</li><li>
Strong ownership, sound judgement and comfort working through ambiguity</li><li>
A product mindset, with a clear understanding that developer experience is critical to platform adoption</li><li>
The ability to coach others, raise technical standards through practice, and operate effectively in a flat, high agency team</li></ul><p>
Bonus experience includes multi cloud patterns, GPU or HPC workloads, or building platform telemetry and internal tools.</p></div></div><div><h3 class="jobSectionHeader"><b>
Technical skills</b></h3>
<div><p>We'll assess you against these technical skills during the selection process:</p>
<ul><li>Candidates will assessed technically via interview and potentially take home assessment. Details of this will be communicated to the candidate directly.</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2></div><div><div>
Alongside your salary of &pound;69,675, Department for Science, Innovation &amp; Technology contributes &pound;20,184 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides .</div></div><div><div><p>
The Department for Science, Innovation and Technology offers a competitive mix of benefits including:</p><ul><li>
A culture of flexible working, such as job sharing, homeworking and compressed hours.</li><li>
Automatic enrolment into the Civil Service Pension Scheme, with an employer contribution of 28.97%.</li><li>
A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30.</li><li>
An extensive range of learning &amp; professional development opportunities, which all staff are actively encouraged to pursue.</li><li>
Access to a range of retail, travel and lifestyle employee discounts.</li></ul><p><b>
Office attendance</b></p><p>
The Department operates a discretionary hybrid working policy, which provides for a combination of working hours from your place of work and from your home in the UK. The current expectation for staff is to attend the office or non-home based location for 40-60% of the time over the accounting period.</p></div></div><div><h2 class="jobSectionHeader"><b>
Things you need to know</b></h2></div><div><h3 class="jobSectionHeader"><b>
Artificial intelligence</b></h3><div>
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.</div></div><div><h3 class="jobSectionHeader"><b>
Selection process details</b></h3><div><div>
This vacancy is using Success Profiles , and will assess your Experience and Technical skills.</div></div><div><div><p><b>
Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not requiredwe will sponsor and support you.</b> You should normally have been resident in the UK for 2 of the past 5 years. Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK</p><p>
In accordance with the Civil Service Commission rules, the following list contains all elements of the selection process.</p><p>
Candidates should expect to go through some or all of the following stages once an application has been submitted:</p><ul><li>
A short initial conversation</li><li>
Technical take home test</li><li>
Second interview in which well review the technical test</li><li>
Third interview with wider representation from the team</li><li>
Final interview with members of the senior team</li></ul><p>
To apply please follow the instructions on Greenhouse where you will be asked to complete personal statement questions and upload your CV. Should the team receive an abundance of CVs we reserve the right to sift on CV alone.</p><h3 class="jobSectionHeader"><b>
Diversity and Inclusion</b></h3><div>
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy . As part of the application process, we monitor statistics on D&amp;I. You can see how we process this data here: Recruitment privacy notice - GOV.UK.</div><br>
Feedback will only be provided if you attend an interview or assessment.</div></div></div><div><h3 class="jobSectionHeader"><b>
Security</b></h3><div><div>
Successful candidates must undergo a criminal record check.</div></div><div><div>
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check .<br>
<br>
See our vetting charter .</div></div><div><div>
People working with government assets must complete baseline personnel security standard (opens in new window) checks.</div></div></div><div><h3 class="jobSectionHeader"><b>
Nationality requirements</b></h3><div><div>
<p>This job is broadly open to the following groups:</p>
<ul><li>UK nationals</li>
<li>nationals of the Republic of Ireland</li>
<li>nationals of Commonwealth countries who have the right to work in the UK</li>
<li>nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)</li>
<li>nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)</li>
<li>individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020</li>
<li>Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service</li>
</ul>Further information on nationality requirements
</div></div></div><div><h3 class="jobSectionHeader"><b>Working for the Civil Service</b></h3><div><div>
The Civil Service Code sets out the standards of behaviour expected of civil servants.<br>
<br>
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles .</div></div><div><div>
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.</div></div><div><div>
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.</div></div></div><div><h3 class="jobSectionHeader"><b>
Diversity and Inclusion</b></h3><div>
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .</div></div><div><h2 class="jobSectionHeader"><b>
Apply and further information</b></h2></div><div><div>
This vacancy is part of the Great Place to Work for Veterans initiative.</div></div><div><div>
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.</div></div><div><h3 class="jobSectionHeader"><b>
Contact point for applicants</b></h3><div><h4 class="jobSectionHeader"><b>
Job contact :
</b></h4><ul><li>Name : Ben Sams</li><li>
Email : ben.sams@dsit.gov.uk</li></ul><h4 class="jobSectionHeader"><b>
Recruitment team</b></h4><ul><li>
Email : ben.sams@dsit.gov.uk</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Further information</b></h3><div><div>
Appointment to the Civil Service is governed by the Civil Service Commissions Recruitment Principles. If you feel that your application has not been treated in accordance with the recruitment principles, and wish to make a complaint, then you should contact in the first instance dsitresourcing.GRS@cabinetoffice.gov.uk. If you are not satisfied with the response that you receive, then you can contact the Civil Service Commission. For further information on bringing a complaint to the Civil Service Commission please visit their web pages at: https://civilservicecommission.independent.gov.uk/contact-us/</div></div></div></div></div><div></div>

Lead Cloud Platform Engineer- i.AI

Eventogy

<div><p><b>STRICTLY NO AGENCIES: We are only accepting direct applications for this role. Any unsolicited CVs sent will be treated as a gift and will not be subject to any terms or fees.</b><br>
<br>
<b>RECRUITERS: DO NOT CALL OR EMAIL US REGARDING THESE ROLES</b></p><p><br>
We are a highly successful UK based Events Management SaaS company looking for an ambitious Next.js Product Developer to help oversee the next phase of development of our suite of products. As an accomplished Front-End Senior Engineer you will have a solid track record of designing highly scalable technology platforms.</p><p>
We are gearing up for the next stage of our journey and invite you to discuss how we can collaborate whilst supporting your personal growth.</p><p></p><p><b>
Role Info:</b></p><p><b>
Current Tech Includes:</b> React.js, Next.js (14+), JavaScript, HTML5, CSS3.</p><p><b>
Methodologies:</b> Agile/Kanban, TDD/BDD, Continuous Integration and Delivery, AI-assisted development with Cursor &amp; Claude.</p><p></p><p><b>
Who we are:</b></p><p>
With an existing and highly satisfied customer base of very well-known large international blue chip enterprises, we are a secure and dynamically growing Software business with a 20-year history of stability and profit from offices in Farringdon, London. Our client list includes Deutsche Bank, Santander, BNPP, Ford, Kia, Toyota, Linklaters, Clifford Chance, Freshfields etc.</p><br>
Front-End Developer Role:<p>
We are seeking a highly skilled and experienced Next.js Developer to join the front-end team and drive forward the rebuild of our platform. If you are enthusiastic about creating high-quality, user-friendly applications and enjoy working in a collaborative environment, we want to hear from you.</p><p>
While we have highly skilled developers within our teams, your role will be to provide a more holistic view to our product offering. You will be working with our dev team to design efficient and future-proof interfaces, acting as a key driver for the front-end architecture. You will also be expected to leverage AI-assisted development tooling including Cursor and Claude to accelerate delivery, improve code quality, and embed intelligent development practices across the team.<br>
</p><br>
<br>
<b>Requirements</b><p><b><br>
You will:</b></p><ul><li>Drive forward the development of the frontend of our platform using React.js and Next.js (14+).</li><li>Convert designs and wireframes into high-quality code.</li><li>Optimise applications for maximum speed, scalability, and responsiveness.</li><li>Ensure consistent implementation of brand and design guidelines across all platforms.</li><li>Develop and maintain reusable code and libraries for future use.</li><li>Conduct thorough testing and debugging to ensure the seamless functioning of applications.</li><li>Collaborate with cross-functional teams, including product managers, developers, and stakeholders, to define and implement innovative solutions for the product direction, visuals, and user experience.</li><li>Drive adoption of AI-assisted development practices, including Cursor and Claude, across the engineering team.<br>
</li></ul><p><b>What are the role requirements?</b></p><p>
You will have experience with most of the following:</p><ul><li>A minimum of 5 years of experience as a React.js/Next.js Developer, preferably working on a SaaS product.</li><li>Proficient understanding of web markup, including HTML5, CSS3, and JavaScript.</li><li>Knowledge of code versioning tools, such as Git.</li><li>Excellent problem-solving skills and a keen eye for detail.</li><li>Strong communication and teamwork skills, with the ability to work effectively with cross-functional teams.</li><li>Proficiency using AI coding tools such as Cursor and Claude to write, review, refactor, and document code efficiently.</li></ul><p><b><br>
Technical Experience:</b></p><ul><li><b>Languages:</b> JavaScript, HTML5, CSS3.</li><li><b>Frameworks:</b> React.js, Next.js (14+).</li><li><b>AI Development Tools:</b> Cursor IDE, Claude (Anthropic), prompt engineering for code generation and review.</li></ul><b><br>
Benefits</b><p><br>
We are extremely ambitious, with bold targets designed to place us among the very best in our industry. As part of our team, you'll have access to multiple career progression routes &mdash; from people and leadership roles to product expertise and project management. The direction you take is yours to choose, and we'll be on hand with the guidance and support you need to succeed.We offer a highly collaborative working environment, excellent support for career progression, and a strong commitment to developing our people &mdash; including investment in AI tooling and training.</p><p><b><br>
Benefits include:</b></p><ul><li>Company pension scheme</li><li>Gym membership</li><li>Hybrid working (3 days a week in our Farringdon, London office)</li><li>Vibrant location with a top-quality coffee shop next door and a bustling food market right outside</li></ul><p></p><p>
We are an equal opportunities employer. You must be eligible to work in the UK, hold a valid visa or UK residency, and be currently based in the UK. You must also be prepared to undergo high-level security clearance.</p><p><b><br>
Salary: &pound;60,000-&pound;70,000</b></p><p><b>
Location: London</b></p><p><b>
NO AGENCIES &ndash; Please do not attempt to canvas from here.</b></p></div>

Senior Front-End Developer (React.js/Next.js)

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