software engineer

ai engineer

lead software engineer

platform engineer

systems engineer

principal engineer

HCLTech

City Of London, England
 Job Summary
 
Job Title: Physical AI Engineer (Robotics & Agentic Systems)
 We are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production-grade hardware at scale.
 
Key Responsibilities
 
Key Responsibilities
 <ul>
<li>Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.</li>
<li>Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud-based reasoning with edge-based execution.</li>
<li>Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high-fidelity simulations, generating synthetic data to train robots on complex edge cases.</li>
<li>Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware-agnostic "Skills" (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).</li>
<li>System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator-oriented computation on Google TPUs and NVIDIA GPUs.</li>
</ul>
Skill Requirements
 
Technical Requirements
 Category Stack Components
 Foundation Models Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER
 Software Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python
 Compute & Infra Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs
 Physics Engines MuJoCo-Warp, NVIDIA Isaac Sim integration
 Data & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)
 
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Principal Engineer

MINDERA

<div>We are currently looking for an experience Principal Engineer to join us on a contract basis.
This is a hybrid position and will require 3 days per week on client site in Central London. 
Requirements 
Role responsibilities:
<ul><li>Define and drive technical strategy, architecture, and engineering standards across the Personalisation domain</li><li>
Design and deliver scalable systems supporting personalisation, search, recommendations, and ML-powered features</li><li>
Partner closely with Product, Data Science, and Design to deliver customer-centric solutions</li><li>
Lead and influence technical decision-making across multiple teams and platforms</li><li>
Mentor and support senior engineers, helping to raise the overall engineering capability</li><li>
Improve engineering quality, reliability, and productivity through best practices, tooling, and platform enhancemen</li></ul>
Who you are:
<ul><li>An experienced technical leader with a strong background in Java/Python and large-scale production systems</li><li>
Strong experience working with Machine Learning systems and collaborating with Data Science teams</li><li>
Skilled in system design and architecture, with the ability to deliver scalable, high-quality solutions</li><li>
Comfortable working across cross-functional environments with multiple stakeholders</li><li>
Passionate about growing others and driving engineering excellence</li><li>
A strong communicator who can influence technical and business decisions at all levels&quot;</li></ul></div>

Principal Engineer - Contract - Outside IR35

Principal Java Engineer

<div><div><div>Entity:
Technology 
Job Family Group:
IT&amp;S Group 
Job Description:
The Principal Platform Engineer is a senior individual contributor role responsible for defining the strategy and architecture for how bp's portfolio of engineering and data platforms connect, converge, and serve the organisation. This role sits at the intersection of platform engineering and enterprise architecture, providing technical leadership and strategic direction without direct line management.
The role exists to bring coherence to a distributed platform landscape, ensuring that internal engineering platforms, cloud-native infrastructure, and enterprise software-as-a-service (SaaS) solutions are integrated in a consistent, scalable, and well-governed manner. The Principal Platform Engineer is the technical authority on platform integration and convergence, influencing design decisions across teams and functions.
Key Accountabilities<ul><li>
Define and maintain a platform convergence strategy that articulates the current-state landscape, the target architecture, and a credible transition path &mdash; enabling bp's engineering platforms and SaaS solutions to operate as an integrated whole.</li><li>
Lead architectural design and decision-making at the intersection of internal platforms and enterprise SaaS, establishing integration patterns, data contracts, and governance standards that apply consistently across the platform estate.</li><li>
Act as the principal technical authority for platform engineering across the digital delivery organisation, providing expert guidance on platform design, cloud-native patterns, and systems integration to engineering teams and senior stakeholders.</li><li>
Drive resolution of complex cross-platform integration challenges, including identity, data flow, event-driven architecture, and API design &mdash; ensuring that integration decisions are durable, secure, and aligned with enterprise standards.</li><li>
Produce and maintain high-quality architecture strategy documents, reference architectures, and decision records that are accessible to both engineering and executive audiences, building shared understanding of the platform direction.</li><li>
Collaborate with AI engineering, software engineering, and external vendor and partner teams to ensure that platform architecture decisions enable and do not constrain the delivery of business and AI-powered capabilities.</li></ul>
This is a role with organisation-wide technical influence. The successful candidate will work closely with engineering managers, delivery teams, and external partners across a complex, multi-platform environment. The role requires a balance of critical thinking and hands-on technical credibility &mdash; candidates should be comfortable both authoring architecture strategy documents and engaging deeply in technical design discussions.<h1 class="jobSectionHeader">
What you will bring...</h1><ul><li>
Extensive experience in platform engineering (including Kubernetes) and the design, delivery, and operation of large-scale, multi-component platform estates in a cloud-native environment.</li><li>
Proven enterprise architecture capability, including experience producing target-state architecture strategies and navigating complex system landscapes spanning internal platforms and third-party SaaS.</li><li>
Deep knowledge of cloud-native architecture patterns: containerisation and orchestration, service mesh, API gateway design, event streaming, and infrastructure-as-code.</li><li>
Demonstrable experience integrating enterprise SaaS solutions &mdash; including ERP or business application platforms &mdash; with internally developed systems, covering API, identity, and data integration patterns.</li><li>
Track record of operating as a senior technical authority in a large organisation, influencing architecture and engineering decisions at scale without direct management responsibility.</li><li>
Strong communication and documentation skills, with the ability to convey complex architectural concepts clearly to technical peers, delivery teams, and senior business stakeholders.</li><li>
Bachelor's degree or higher in Computer Science, Software Engineering, Systems Engineering, or a related technical subject area or equivalent experience.</li><li>
Familiarity with regulatory and compliance considerations (e.g., data residency, audit logging, access control) as they apply to enterprise platform design.</li></ul>
Desirable Criteria<ul><li>
Familiarity with enterprise data platform architectures, including data mesh, data fabric, or data lakehouse patterns, and how these intersect with application and integration platforms.</li><li>
Prior experience working at the boundary of AI/ML infrastructure and broader platform engineering, including understanding of how MLOps capabilities are hosted and operated within an enterprise platform.</li><li>
Experience engaging with external software vendors and system integrators on integration architecture and platform alignment.</li><li>
Relevant professional certifications in cloud architecture or enterprise architecture (e.g., AWS Solutions Architect Professional, Azure Solutions Architect) are advantageous.</li></ul><h1 class="jobSectionHeader">
Why join us?</h1>
We&rsquo;re committed to supporting leaders who want to make an impact. At bp, you&rsquo;ll have the chance to shape and influence outcomes across businesses. You&rsquo;ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive.
Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs &mdash; from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that.
Apply now!
Location
Please note that while this position can be based in our Sunbury office, this will move to Southwark, London by end 2027. 
Travel Requirement
Negligible travel should be expected with this role 
Relocation Assistance:
This role is not eligible for relocation 
Remote Type:
This position is a hybrid of office/remote working 
Skills:
Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} 
Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. 
 
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
<div>Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
</div><div>Expand job description</div></div>
 <div><div>Disclaimer 


This is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers&rsquo; discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility.</div></div>

Principal Platform Engineer

Anaplan

<div>
 
 At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
 
 
 What unites Anaplanners across teams and geographies is our collective commitment to our customers&rsquo; success and to our Winning Culture.
 
 
 Our customers rank among the who&rsquo;s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
 
 
 Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating
 
 
 our wins &ndash; big and small.
 
 
 Supported by operating principles of being strategy-led, values-based and disciplined in execution, you&rsquo;ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let&rsquo;s build what&rsquo;s next - together!
 
 
 
 About the Role
 
 
 &nbsp;
 
 
 
 We're seeking a Principal Data Engineer who can work across the full stack of Anaplan&rsquo;s data platform, setting the technical direction for how we ingest, transform, store, serve, and govern data at scale. You will build highly performant, robust data pipelines that process massive volumes of data in real-time and batch. This foundational work empowers business users to leverage vast datasets in their planning workflows and forms the bedrock for our advanced analytics and AI initiatives. You'll need deep knowledge of distributed computing, data architecture, and strong software engineering skills to tackle complex, high-scale data challenges.
 
 
 
 Your Impact
 
 
 <ul>
 <li>
 Lead the data architecture, design, and deployment of scalable, high-throughput Big Data systems into production environments.
 </li>
 <li>
 Architect, deploy, and manage the foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases.
 </li>
 <li>
 Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks.
 </li>
 <li>
 Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed file systems, and real-time streaming architectures.
 </li>
 <li>
 Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch and streaming patterns seamlessly.
 </li>
 <li>
 Optimise and scale large distributed queries and data transformations to ensure high performance and low latency for end users.
 </li>
 <li>
 Implement data quality frameworks to measure and ensure data integrity, reliability, and governance across all data assets.
 </li>
 <li>
 Collaborate with analytics, product, and platform teams to build data models that capture the semantics of customer metrics, hierarchies, and relationships.
 </li>
 <li>
 Stay current with the modern data stack and big data landscape, evaluating new tools, distributed computing frameworks, and database technologies for potential adoption.
 </li>
 </ul>
 
 
 Your Skills
 
 
 <ul>
 <li>
 Extensive data engineering experience, demonstrating a strong track record of hands-on execution and delivery in complex data environments.
 </li>
 <li>
 Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores).
 </li>
 <li>
 Hands-on experience building, scaling, and shipping large-scale data platforms in production.
 </li>
 <li>
 Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).
 </li>
 <li>
 Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).
 </li>
 <li>
 End-to-end exposure to data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).
 </li>
 <li>
 Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).
 </li>
 <li>
 Advanced SQL skills and proficiency in Python.&nbsp;
 </li>
 <li>
 Strong background in modern software development practices (testing, code review, CI/CD, Infrastructure as Code).
 </li>
 </ul>
 
 
 Desirable
 
 
 <ul>
 <li>
 Extensive, progressive experience leading technical projects and mentoring engineering teams.
 </li>
 <li>
 Hands-on experience with cloud-native infrastructure (AWS, GCP, or Azure).
 </li>
 <li>
 Experience implementing data observability, monitoring, and alerting frameworks at scale.
 </li>
 <li>
 Familiarity with Anaplan or similar enterprise planning platforms.
 </li>
 </ul>
 
 
 Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
 
 
 
 We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren&rsquo;t just words on paper &ndash; this is what drives our innovation, it&rsquo;s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. &nbsp;
 
 
 
 Fraud Recruitment Disclaimer
 
 &nbsp;
 
 
 It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
 
 
 Anaplan does not: &nbsp;
 
 <ul>
 <li>
 Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  &nbsp;
 </li>
 <li>
 Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. &nbsp;
 </li>
 </ul>
 
 All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  &nbsp;
 
 
 &nbsp;
 
</div>

Principal Data Engineer

Zapp

<div>Principal Software Engineer, Backend
Nine Elms, London. Full time (4 Days Onsite)
You'll need the right to work in the UK and be based in London. We are not able to offer visa sponsorship for this role.
About Zapp
We deliver the essentials in minutes, 24/7, from our own network of stores. Every order is a real-time race against the clock, and the systems that win it are the backend you would own.
Quick commerce is a genuinely hard backend problem. Stock changes by the second, orders and riders move in real time, and we make sub-minute promises we have to keep, at high throughput with no room for downtime. Getting that right, fast and reliably, is the job.
We're AI-first and we mean it as a way of working, not a slogan: AI-assisted development is part of the daily toolkit, we ship LLM-powered features where they genuinely earn their place, and we expect every engineer to shape how we use it.
Backed by the world's leading investors, built by people who've scaled Amazon, Deliveroo, Tesco, Just Eat and Stuart.
Our Leadership Principles
These five principles describe what great looks like at Zapp. They are the single framework we use across performance reviews, growth conversations, and leadership expectations.<ul><li>
Creating Magic</li><li>
Taking Ownership</li><li>
Raising the Bar</li><li>
Winning Together</li><li>
Delivering with Speed</li></ul>
The role
You'll be the most senior backend engineer at Zapp, owning the technical direction of the services that run the business, from ordering and inventory to logistics and the platform underneath. This is a hands-on Principal role: you set the architecture and the standard, and you're still in the code every week shipping the hardest parts yourself.
You'll work across the whole backend rather than one corner of it, going where the hardest problem is. You'll take ownership from a rough problem all the way to production and on-call, and you'll lift the engineers around you while you do it. When the team needs a pattern set, a hard call made, or the gnarly bit untangled, that's you.
What you'll do<ul><li>
Set the technical direction. Own the architecture of the backend across services, and make the calls on patterns, boundaries and tooling that the rest of the team builds on.</li><li>
Build the hard parts yourself. Design and ship the services, APIs and data models behind ordering, inventory and logistics, and set the standard for what good looks like.</li><li>
Raise the bar. Lift the engineers around you through design review, pairing, and the standard you set, and leave the team stronger than you found it.</li><li>
Own reliability and scale. Keep high-throughput, real-time systems fast and available, and design for the failure modes that come with sub-minute delivery.</li><li>
Own delivery end-to-end. Pick up a problem, design the solution, ship it to production, and be on the on-call rotation that stands behind it.</li><li>
Bring AI into how we build. Use AI in your daily work, share the patterns that help the team move faster, and learn from what others discover.</li><li>
Help shape AI in our product. Build the backend behind LLM-powered features, from the data and APIs to the guardrails that keep them safe in production.</li><li>
Work across the boundary. Partner with mobile, data and ops engineers on the contracts and systems that tie the product together.</li></ul>
You're a great fit if you<ul><li>
Experienced. 7+ years building backend systems in production, with real scale behind you.</li><li>
Strong in TypeScript. It's core to our backend and you're genuinely fluent, not just passing through.</li><li>
Polyglot. You've shipped production code in more than one language and reach for the right tool for the job.</li><li>
Distributed systems depth. You design services, APIs and data models that hold up under real-time, high-throughput load.</li><li>
Own the data layer. Confident with relational and non-relational stores, and clear on the trade-offs between them.</li><li>
Lead without a title. You set technical direction and bring people with you through clarity and example, not authority.</li><li>
Production minded. Reliability, observability, performance and security are things you design in from the start, not bolt on after the incident.</li><li>
Comfortable in uncertainty. You move forward when the path isn't clear, instead of waiting for someone to define it.</li><li>
Test as you build. Automated tests are how you ship code you trust.</li><li>
Pragmatic about delivery. You measure your work by what shipped and held up, not the elegance of the design doc.</li><li>
Excellent communicator. Clear in how you write and speak, and you love sharing what you learn.</li></ul>
If most of these land for you, please apply. We hire on trajectory and curiosity as much as CV.
Even better if you know<ul><li>
GCP. We run on Google Cloud, with Cloud Run, Pub/Sub and Firestore, so familiarity helps you hit the ground running.</li><li>
NestJS. Our TypeScript services are built on it.</li><li>
GraphQL. We run a federated gateway across multiple subgraphs, so federation experience makes schema and subgraph work easier.</li><li>
Event-driven architecture. Queues, streams and async messaging at scale.</li><li>
Infrastructure as code and DevOps. You're comfortable owning the path to production, not just the code.</li><li>
Quick commerce or similar domain. Logistics, on-demand delivery, or another real-time, high-throughput consumer environment.</li></ul>
You won't be a great fit if you<ul><li>
Need a fully defined process and a large, structured team to do your best work.</li><li>
Chase architectural purity at the expense of what the business actually needs.</li><li>
Stall when the path forward isn't clear, or wait to be told what to do.</li><li>
Want to stay strictly inside one service or specialty and avoid the rest of the stack.</li></ul>
What's the interview process like?
We aim to make our process clear, respectful of your time, and a real two-way conversation.<ul><li>
Stage 1 - Intro call (30 min). A short chat about your background and a chance for us to tell you more about Zapp, the team, and the role.</li><li>
Stage 2 - Technical interview (90 min). Live coding and a system design discussion. You'll have full access to any AI tooling you'd normally use, and we'll send you a boilerplate repository in advance so you can focus on the problem, not the setup.</li><li>
Stage 3 - Values &amp; Leadership interview (60 min). A conversation with senior leadership about how you work, what you care about, and how you align with our Leadership Principles.</li><li>
Stage 4 - Offer.</li></ul>
We will need to verify your right to work in the UK before extending an offer.
Benefits<ul><li>
Generous salary &amp; equity package</li><li>
25 days holiday per year, plus all bank holidays</li><li>
Private health insurance</li><li>
Extended sick pay and enhanced maternity and paternity leave</li><li>
Cycle to work scheme</li><li>
Pension (auto-enrolment)</li><li>
Budget for learning, conferences and kit</li></ul></div>

Principal Software Engineer, Backend

Linux Recruit

Specialism
 
Software Engineering
 
Job type
 
Permanent
 
Location
 
London
 
Salary
 
£140,000 - £160,000 per annum
 
Most engineering roles promise impact. Few offer the opportunity to solve genuinely novel technical problems while helping define an entirely new category of software.
 
As an experienced engineer you want to work on challenges that are both intellectually demanding and commercially significant. You will join a small team tackling problems that sit at the intersection of artificial intelligence, software engineering, and enterprise transformation, with the freedom to influence both the technology and the direction of the product.
 
This is an opportunity to work on systems that must understand and reason about some of the most complex business environments in the world. Rather than optimising a small part of an existing product, you will help create technology that changes how large organisations operate and evolve, forever.
 
There is substantial ownership from day one. Decisions are made by the people closest to the problem, and engineers are trusted to shape architecture, product direction, and technical strategy. Your work will be visible, consequential, and deployed in environments where successful outcomes create measurable value at scale.
 
This is an environment where you’ll be surrounded by ambitious, highly capable colleagues who are motivated by solving difficult problems rather than maintaining the status quo. The environment is collaborative, intellectually rigorous, and designed for people who enjoy learning quickly and pushing the boundaries of what is possible. A low ego environment where it is about coming together to solve problems by shipping high quality code.
 
For engineers interested in artificial intelligence, this role provides the opportunity to work beyond experimentation and prototypes. You will build production systems that apply AI to real-world complexity and deliver tangible results for major organisations. The technical challenges are substantial, the feedback loops are fast, and the impact is immediate.
 
As the company grows, there will be significant opportunities to expand your influence, develop as a technical leader, and help build both the engineering culture and the technology platform. You will join at a stage where exceptional contributions are highly visible and where your work can have a lasting effect on the trajectory of the business.
 
If you are looking for a role that combines technical ambition, meaningful ownership, exceptional colleagues, and the opportunity to work on problems that few engineers encounter in their careers, we would like to hear from you.
 
James Yarrow
 Consultant
 07441347681

Principal Software Engineer

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