staff software engineer

Applied Computing

<div><p>Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We&rsquo;re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.</p><p><br>
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It&rsquo;s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational<br>
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.</p><p><br>
We&rsquo;ve raised over $32 million, including one of the largest seed rounds for an<br>
AI company in the UK. We&rsquo;re just getting started</p><p></p><p>
As a Senior Full Stack Engineer on the Core AI team, you will build the platform that makes Orbital a scalable product. You will own the internal application layers, developer facing APIs, shared UI components, and integration frameworks that power every Orbital deployment.</p><p></p><p>
This is a product engineering role focused on building reusable systems. You will collaborate with AI research, Infra, and software teams to translate complex industrial workflows into reliable system components and intuitive user interfaces.</p><p></p><p>
Your work will define how users interact with Orbital across control rooms, engineering teams, and cloud-based environments.</p><p><b>
What Success Looks Like</b></p><ul><li>Orbital ships with high-quality dashboards and interfaces that users rely on daily</li><li>Core APIs and services provide stable, well-documented contracts for AI, data, and automation features</li><li>Frontend and backend codebases are modular, well-structured, and easy to extend</li><li>Releases are frequent, reliable, and backed by strong CI/CD pipelines</li><li>Features scale from one deployment to many without site-specific rework or bespoke</li></ul>
engineering<div><b>
Requirements</b><br>
<ul><li>Strong software engineering fundamentals (data structures, algorithms, complexity)</li><li>Solid understanding of system design patterns and architectural trade-offs</li><li>Strong proficiency in JavaScript / TypeScript</li><li>Experience building complex applications in React or Svelte</li><li>Ability to design reusable UI components and frontend architecture</li><li>Python for APIs, orchestration, and data integration</li><li>Backend experience with Node.js, FastAPI, Express, or similar frameworks</li><li>Experience designing and maintaining API-driven systems</li><li>Experience building containerised microservices using Docker and Kubernetes</li><li>Familiarity with distributed systems and event-driven architectures</li><li>Experience with message brokers such as Kafka or RabbitMQ</li><li>Comfortable working in Linux environments for debugging and performance tuning</li><li>Hands-on experience with AWS (EKS, S3, IAM, CloudWatch, networking fundamentals)</li></ul></div><div><b><br>
Product &amp; Engineering Mindset</b><br>
<ul><li>Comfortable operating in a fast-moving product environment with evolving</li></ul>
requirements<br>
<ul><li>Strong collaboration skills across AI, infra, and product teams</li><li>Bias toward reliability, resilience, and long-term maintainability</li><li>Ability to design systems that scale across customers, sites, and industrial verticals</li><li>Comfortable shipping on a bi-weekly release cadence</li></ul></div><div><b><br>
What This Role Is Not</b><br>
<ul><li>Not a pure frontend or UI-only role</li><li>Not infrastructure-only or DevOps-focused</li><li>Not a research or modelling role</li><li>Not a one-off project engineer; this role builds core platform primitives</li></ul></div><div><b>
1. Full Stack Product Development</b><br>
<ul><li>Build features across the product stack: data access, backend services, APIs, and UI</li></ul>
layers<br>
<ul><li>Develop backend logic that exposes:</li></ul>
o Time-series forecasts<br>
o Physics-based model outputs<br>
o LLM and agent outputs<br>
As stable product features</div><ul><li><p>
Create internal tools and workflows that support multiple engineering and operational use cases without custom deployments</p></li><li><p>
Ensure all application layers meet strict standards for:</p></li></ul><p>
o Reliability<br>
o Security<br>
o Observability<br>
o Performance<br>
Across cloud and on-prem environments</p><div><b><br>
2. Platform &amp; Microservices Architecture</b><br>
<ul><li>Design and implement containerised microservices running in Kubernetes clusters</li><li>Create shared services and libraries that enable reuse across Orbital verticals</li><li>Define API boundaries and service contracts that allow AI and infra layers to evolve</li></ul>
independently</div><div><b>
3. Core Platform Engineering</b><br>
<ul><li>Collaborate with Product, AI Research, ML Engineering, and Infra teams on:</li></ul>
o Product requirements<br>
o Long-term platform architecture<br>
<ul><li>Build interface layers that expose inference, physics-based reasoning, and optimisation</li></ul>
as first-class platform capabilities<br>
<ul><li>Implement abstractions for:</li></ul>
o Data ingestion<br>
o Inference orchestration<br>
o Scheduling<br>
o Monitoring and health checks<br>
<ul><li>Establish design patterns and engineering standards that unify the Orbital ecosystem</li></ul></div><div><b><br>
4. Software Engineering Excellence</b><br>
<ul><li>Write clean, modular, maintainable code across frontend and backend systems</li><li>Set up and improve CI/CD pipelines for:</li></ul>
o Automated testing<br>
o QA<br>
o Rapid, safe releases<br>
<ul><li>Participate in code reviews and architectural discussions</li><li>Leverage modern agentic coding tools to increase velocity while maintaining</li></ul>
correctness and readability</div><p><b>
Benefits</b></p><p>
Competitive salary and benefits<br>
Ability to work from the office or remote<br>
Employment contract in UK or India, EOR or contractor options available in other jurisdictions<br>
Exciting high traction AI product</p></div>

Staff Software Engineer

Databricks

<div>
 P-1514
 <br/>
 <br/>
 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems &mdash; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers &mdash; and customer obsessed &mdash; we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
 <br/>
 <br/>
 Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.
 <br/>
 <br/>
 Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence.
 <br/>
 <br/>
 <strong>
  The Impact You Will Have
  <br/>
  <br/>
 </strong>
 Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
 <br/>
 <br/>
 <ul>
  <li>
   Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
  </li>
  <li>
   Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
  </li>
  <li>
   Develop product features that empower our customers to easily store and access their data.
  </li>
  <li>
   Solve reliability problems related to Lakebase.
  </li>
  <li>
   Actively find causes of downtime and systematically improve or remove root causes.
  </li>
  <li>
   Help the org define SLIs, meet SLOs, and drive long-term reliability improvements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS degree (or higher) in Computer Science, or a related field.
  </li>
  <li>
   8+ years of production level experience in one of: Java, Scala, C++, or similar language.
  </li>
  <li>
   Experience developing large-scale distributed systems.
  </li>
  <li>
   Experience working on a SaaS platform or with Service-Oriented Architectures.
  </li>
  <li>
   Knowledge of SQL.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Databricks
  <br/>
  <br/>
 </strong>
 Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
 <br/>
 <br/>
 <strong>
  Our Commitment to Diversity and Inclusion
  <br/>
  <br/>
 </strong>
 At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
 <br/>
 <br/>
 <strong>
  Compliance
  <br/>
  <br/>
 </strong>
 <strong>
  If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
 </strong>
</div>


Staff Software Engineer - Backend

Software Engineer, AI Native Development

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>
About the role:</b></p><p>
Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in.</p><p>
Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains.</p><p>
This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership.</p><p><b>
How we work:</b></p><p>
Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts.</p><p>
We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets.</p><p><b>
What will you be working on?</b></p><ul><li>
Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale</li><li>
Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms</li><li>
Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow</li><li>
Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains</li><li>
Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible</li><li>
Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making</li></ul><p><b>
What do you need?</b></p><ul><li>
Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints</li><li>
Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs</li><li>
Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies)</li><li>
Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling</li><li>
Track record of influencing technical strategy across teams - you don't just build, you shape direction</li><li>
Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration</li></ul><p><b>
Nice to Have:</b></p><ul><li>
Experience in FinCrime, fraud detection, AML, or regulated financial services</li><li>
Experience with graph-based methods (GNNs, entity resolution, link analysis) in production</li><li>
Foundation model fine-tuning or LLM evaluation experience</li><li>
Experience establishing modern ML practices in organisations scaling their ML capabilities</li></ul><p>
I<b>nterested? Find out more:</b></p><ul><li><p><b>
How we work &ndash; a practical guide</b></p></li><li><p><b>
DEI @ Wise</b></p></li><li><p><b>
Wise Tech Stack (2025 update)</b></p></li><li><p><b>
See what it's like to work at Wise London!</b></p></li><li><p><b>
Our Engineering career map</b></p></li><li><p>
Wise Engineering &ndash;<b> https://medium.com/wise-engineering</b></p></li></ul><p>
What do we offer:</p><ul><li><p>
Starting salary: &pound;145,000 - &pound;182,000 + RSUs</p></li><li><p><b>
Wise Benefits</b></p></li></ul><p>
#LI-AB3 #LI-Hybrid</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>

Staff Applied ML Engineer - Financial Crime

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

Understanding Recruitment

<div>
 <p>
  <em>
   Have you got a strong educational background from a Russell Group University?
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Do you have experience working in the financial industry?
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   💸 Java Software Engineer &ndash; FinTech Scaleup 💸
  </strong>
 </p>
 <p>
  <strong>
   📍 Location:
  </strong>
  Hybrid working in Central London
 </p>
 <p>
  <strong>
   💰 Salary:
  </strong>
  up to &pound;105,000 + bonus
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are very excited to once again be partnered exclusively with London&rsquo;s leading investment management firm&rsquo;s latest spinout company. Leveraging cutting-edge techniques with the latest technologies, they build highly scalable high-throughput software that is used by hedge funds and asset managements around the world.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Due to an exciting pipeline of upcoming projects, they are looking for Core Java Software Engineers to join their team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will be an excellent fit for this Core Java Engineer position if you:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Have built scalable software from scratch
  </li>
  <li>
   Use
   <strong>
    Core Java
   </strong>
   concepts, including
   <strong>
    Low Latency
   </strong>
   ,
   <strong>
    Concurrent Programming
   </strong>
   &amp;
   <strong>
    Multithreading
   </strong>
  </li>
  <li>
   Are used to working in a fast-paced environment
  </li>
  <li>
   Work in the financial industry e.g. Bank, Hedge Fund/Asset Management, FinTech
  </li>
  <li>
   Have clear experience with optimisation, efficiency and performance improvement
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  As a Core Java Engineer, you will enjoy a wide array of benefits:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Flexible working from home 3 days a week
  </li>
  <li>
   BUPA Healthcare
  </li>
  <li>
   Bonus
  </li>
  <li>
   Clear career progression and professional development
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you have several years commercial experience working with Core Java and are looking for a new challenge with autonomy over your projects and work, apply now for immediate consideration in this Java Software Engineer opportunity!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Please note
  </strong>
  : Due to compliancy reasons, we will only be able to consider applications based in the UK.
 </p>
</div>


Java Software Engineer

NatWest Group

<div><p>Closing date for applications: 03/07/2026</p>
<div>
<div><p>Location London, United Kingdom</p>
</div><div><p>Salary &pound;64,728 &ndash; &pound;91,380</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Remote / On-site Hybrid</p>
<p></p><div><div><p>You&rsquo;ll spend some of your time at home, working with your team digitally. You&rsquo;ll also regularly work at your office or hub to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Experienced</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00278295</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a Software Engineer, Frontend</p>
<p></p><ul><li>This is an opportunity for a driven Software Engineer to take on an exciting new career challenge</li>
<li>Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions</li>
<li>It&rsquo;s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>In your new role, you&rsquo;ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Producing complex and critical software rapidly and of high quality which adds value to the business</li>
<li>Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning</li>
<li>Collaborating to optimise our software engineering capability</li>
<li>Designing, producing, testing and implementing our working software solutions</li>
<li>Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone to join our high performance engineering team building our new real time banking platform. You&rsquo;ll bring experience of working with Continuous Deployment practices in production environments. You&rsquo;ll have experience building user interfaces using React and working within cloud native environments, with an appreciation for automation as a core engineering principle.</p>
<p></p><p>You&rsquo;ll be comfortable contributing to the development of robust and reliable software, working as part of a team to deliver high quality frontend experiences. Exposure to agentic coding practices where it adds value, would be hugely beneficial</p>
<p></p><p>You'll also need:</p>
<p></p><ul><li>Experience building responsive user interfaces using React and TypeScript, including working with shared component libraries and using feature flags to support safe and incremental releases</li>
<li>Awareness of accessibility and performance considerations, with some experience of applying WCAG standards and optimising frontend performance such as rendering patterns, lazy loading and state management</li>
<li>Experience or exposure to building Backend for Frontend (BFF) services using Node.js such as Next.js, with an understanding of API and microservice design principles</li>
<li>The ability to work effectively in a team that values autonomy and empowerment, with a focus on delivering quality outcomes</li>
<li>Willingness to learn and develop, including supporting and learning from others within the team</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Please note, the presented benefits packages are based on the minimum base salary.</p>
<p>Tap each segment for details.</p>
</div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><div><p>&pound;</p>
</div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>28 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Bishopsgate hub</b></h2>
<p>Based only a few minutes&rsquo; walk from Liverpool Street Station, the central location of this office makes working there incredibly convenient. Everything you need is close by, so you can run errands, go to the gym, and socialise with friends and colleagues before and after work.</p>
<p>Bishopsgate recently underwent a multi-year refurbishment programme to improve spaces and facilities as well as become more sustainable.</p>
</div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

Software Engineer, Frontend

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