The Role

As a Channel Security Engineer at Tenable, you are the strategic, technical bridge between our Go-To-Market (GTM) teams and our EMEA partner ecosystem. Your primary mission is to continue to transform our Distributors and Value Added Resellers (VARs) into highly capable, independent extensions of our own pre-sales team.
 

You are a dynamic, social individual who enjoys human connection, understanding that channel success is inherently a collective effort and relies on presence as much as knowledge. Rather than operating in isolation, your remit is to orchestrate the full weight of Tenable’s resources, aligning our internal experts with your partners to drive mutual commercial success. You know how to take the broader concepts of Exposure Management, the ever changing landscape of AI, and the wider security landscape, formulating them into actionable, profitable strategies that fit
seamlessly into a partner's existing portfolio.

Key Responsibilities:

• Primary Technical Partner Advocate: You will be the face of Tenable for our UK partner community, the first person they call when they need a technical steer or a strategic sounding board. Your goal is to move beyond mere "support" and instead build genuine, long-term trust with partner engineers. By acting as their dedicated champion, you ensure that recommending Tenable becomes second nature to them, effectively making our platform their default choice in a competitive market.
• Dynamic Field Engagement: You will be out in the field, representing Tenable’s market-leading vision at key partner events across the UK and Europe. Whilst you will not be performing or directly overseeing Proof of Values (PoVs) yourself, you are the critical orchestrator, identifying the requirement, qualifying the opportunity, and aligning the right technical experts from within Tenable to execute the PoV and secure the win.
• Cross-Functional GTM Collaboration: You will actively span internal and external teams, aligning with Tenable’s direct sales, marketing, and channel management. We all share the same objective to win, and you will act as the technical linchpin ensuring our channel strategy moves in lockstep with broader regional GTM goals.
• Translating Tech into Commercial Value: You will take the broad principles of Exposure Management and translate them into a commercial language that partners can readily take to market. You will focus on how the Tenable One Exposure Management Platform integrates into a partner's specific strategy, demonstrating exactly how our solutions enhance their portfolio and drive tangible value for their clients.
• Strategic Partner Enablement: You will execute a programme to elevate our partners’ technical autonomy. You are not operating in a silo, you have the entire force of Tenable behind you. Your role is to leverage our corporate resources, enablement materials, and internal teams to build out a loyal, capable extension of our pre-sales organisation.
• Create and Nurture Guardians: Tenable’s flagship partner SEs are those who are invited to join our Guardian program, giving you access to insider knowledge, beta code and all the things that our internal SEs would get. This is the pinnacle of our partner SE landscape and is critical to how we gain more traction.

What You Bring (The Ideal Candidate):

• The "Human" Element: You are an outgoing, high-energy communicator who genuinely enjoys being in front of partners. Your presence is engaging, and you have the collaborative mindset needed to bridge the gap between internal teams and external partners, ensuring everyone is moving in the same direction.
• Strategic Channel Intuition: You bring 5+ years of experience in Pre-Sales or Partner Engineering, specifically within a two-tier channel model. You understand the "why" behind the business, navigating the distinct operational and commercial dynamics of Distributors and VARs.
• The Role of the Orchestrator: You don’t need to be the deepest architectural expert in every room. Instead, your strength lies in translation and coordination. You can turn complex Exposure Management principles into compelling commercial propositions and, crucially, you know exactly when and how to pull in any of Tenable’s considerable resources to help. You are not a lone-wolf here.
• A Blueprint for Growth: You have a proven track record of transforming transactional relationships into strategic partnerships. You know how to coach and mentor partner engineers, guiding them from being "just a reseller" to becoming a true, seamless extension of the Tenable pre-sales team.

#LI-JG1

Role Description:

We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 5+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Role Description:

We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 3+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in various liquid asset classes worldwide. The company uses a technology and data-driven approach to investing. By combining data, research, technology, and trading expertise, QRT adopts a collaborative mindset to address complex challenges. The company's culture of innovation aims to achieve high-quality returns for investors. 

Your future role within QRT: 

As a Windows Platform Server Engineer, you will be part of the Global Infrastructure Team, responsible for designing, building, and supporting Microsoft Windows Server and virtualization infrastructure. Your role is critical in ensuring the smooth operation of core technology services that underpin research technology, trading platforms, market execution, and data processing. 

Responsibilities: 

• Evaluate, recommend, and implement new technologies to enhance reliability, scalability, and security. 
• Build, manage, and deploy all technologies related to the on-premises Windows Server stack, including OS, observability, backups, and identity services. 
• Configure and maintain monitoring and dashboarding tools to track server and application performance. 
• Build, manage, and deploy Windows Server environments (2022–2025). 
• Build, deploy, and monitor a globally distributed, multi-forest Active Directory environment. 
• Manage and configure tools such as Splunk,  
• Configure and manage Active Directory, Group Policy, and Entra ID integration to enforce security and access policies. 
• Automate server management using PowerShell, Ansible, and Terraform for provisioning, configuration, and maintenance. 
• Optimise and troubleshoot server backups to ensure data integrity and disaster recovery readiness. 
• Utilise SIEM tools to monitor and manage server security and performance. 
• Work with storage technologies (SAN/NAS) to ensure efficient integration and high availability. 
• Build manage and deploy VMware ESXi services, clustering, infrastructure and network concepts. 
• Develop and maintain technical documentation, architecture designs, and support materials. 
• Solid understanding of networking concepts  
• Support and optimise Citrix DaaS, Azure, Microsoft 365, and Intune environments. 
• Provide 2nd-line support and act as 3rd-line escalation for all Windows Server and application-related issues. 
• Provide cross-functional troubleshooting support when required. 
• Stay informed about market trends and emerging technologies to identify strategic improvement opportunities. 

Your present skillset: 

• Extensive experience designing, deploying, and managing Windows Server environments, including large-scale enterprise migrations. 
• Strong expertise in Active Directory, Group Policy, and DNS design, implementation, and advanced troubleshooting. 
• Advanced PowerShell scripting skills for automation, OS builds, patching, and infrastructure optimisation. 
• Deep understanding of Windows Update processes, enterprise patch management, and security hardening best practices. 
• Experience with configuration management tools such as Ansible. 
• Experience with backup tools such as Veeam. 
• Experience managing cloud infrastructure, including AWS EC2 and Azure. 
• Strong troubleshooting expertise across Windows 10/11 client operating systems. 
• Solid cloud platform experience with Azure, Entra ID, Microsoft 365, and Intune. 
• Experience supporting and optimising Citrix DaaS / VDI environments. 
• Experience supporting and optimising ESXi environments. 
• Strong knowledge of networking concepts, certificate services (PKI), and infrastructure security. 
• Experience with performance monitoring and optimisation of Windows servers, desktops, and virtual machines. 
• Excellent communication skills with the ability to work independently, prioritise workloads, and contribute effectively to cross-functional projects 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

The Role: Technical Product Manager (AI Enablement)
Location: London office / Hybrid (2 days per week in the office)
Reporting to: Head of Technology Operations

The Role

Our AI Enablement team accelerates how product and engineering teams deliver value by enabling safe, effective, high‑quality adoption of AI‑native tools, practices and agentic workflows. We partner across the organisation to reduce friction, enhance developer productivity, and drive governed AI integration at scale. 

As the Technical Product Manager for the AI Enablement team, you will help shape how product development teams adopt AI responsibly and effectively; establishing platforms and enabling agentic workflows with patterns, frameworks, and enablement practices that scale across engineering and product development to increase productivity and quality. 

This is a highly cross‑functional role requiring strong technical fluency, exceptional stakeholder alignment skills, and a deep understanding of the product lifecycle and software engineering workflows. 

Key outcomes for this role:

Customer-Centric AI Enablement

• Internal engineering and product teams experience limited friction in the adoption of production-grade AI tools, agents and workflows that directly address the bottlenecks, friction, and inefficiencies in the product development lifecycle.  

Accelerated Time-to-Value

• Teams deliver software faster and more efficiently through AI‑enhanced product development, testing, documentation, and operational workflows. 
• High‑impact use cases are identified, validated, and rolled out systematically across teams.
   

Clear Business Alignment & Visibility

• AI enablement initiatives and the roadmap are tied directly to engineering productivity, business value streams, and strategic priorities.
• Communication of impact, tradeoffs, and adoption progress is transparent and visible to stakeholders.
   

Data-Driven Decision Making 

• Clear AI enablement metrics (adoption, velocity improvements, model performance, workflow usage) drive prioritisation and planning.
• Teams focus on the highest‑value problems through insight‑led prioritisation. 

Key Responsibilities:

Internal Customer Insights

• Maintain an understanding of engineering, product, QA, security, and operations teams’ AI needs, friction points, and opportunities.
• Use structured research, platform telemetry, surveys, and direct engagement to guide prioritisation.  

AI Platform & Capability Decision

• Working with Technology Leadership shape the internal AI platform strategy: capabilities, use cases, patterns, and adoption pathways.
• Define “what good looks like” for AI‑native and agentic workflows such as:  

*AI‑assisted generation and review 

*Test generation and validation 

*Documentation automation 

*Log/metric analysis and incident assistance 

*Internal AI agents supporting SSDLC tasks 

Product Roadmaps & Delivery

• Own and maintain a clear AI enablement roadmap that balances customer needs, capability maturity, governance, and organisational priorities. 

• Ensure tradeoffs and recommendations are well‑articulated with supporting data. 

• Ensure the successful end-to-end delivery of the roadmap.  

Governance, Safety & Scalability

• Partner with security, compliance, data, and architecture teams to ensure all AI adoption is safe, governed, and scalable. 
• Translate emerging risks and constraints into product decisions and prioritization frameworks.
   

Enablement & Adoption

• Create clear documentation, playbooks, and training materials for AI tooling and workflows. 

• Partner with engineering teams to pilot new AI capabilities, capture learnings, and scale successful patterns across product development. 

• Champion AI best practices and ensure enablement efforts are measurable, repeatable, and continuously improving. 

• Measure adoption, efficiency, quality, and report progress at key stakeholder forums. 

We're looking for someone who

• Has experience managing technical products (developer tools, ML/AI systems, automation platforms, and multi‑agent systems). 

• Understands the software development lifecycle, DevOps/SRE practices, and the realities of engineering and product delivery workflows. 

• Has strong empathy for engineers and enjoys spending time with users to deeply understand workflows and bottlenecks. 

• Can translate complex technical opportunities into clear business value and narrative. 

• Is highly structured, self‑directed, and capable of aligning diverse stakeholders. 

• Enjoys experimentation and can balance rapid iteration with risk‑aware governance. 

About the Role

SharkNinja is seeking a self driven Cost Engineer to support both Shark and Ninja new product lines by developing accurate “should be” cost models throughout the product development process. At SharkNinja, we pride ourselves on delivering affordable innovation, ease of use, and a strong focus on the consumer experience.

In this role, you will work closely with the AD and NPD teams to understand product architecture, manufacturing methods, and component selection in order to define the lowest possible cost to produce a product. This is an exciting opportunity for someone who is curious about how products are made, enjoys problem solving, and is motivated by identifying cost optimisation opportunities without compromising performance or consumer value.

What You Will Do

Coordinate product details to generate early ballpark cost estimates during the AD phase.
Develop and maintain should be cost models that reflect the latest product definition throughout prototype builds.
Review CBOMs from suppliers to validate cost assumptions and identify opportunities.
Deliver reports and presentation summaries highlighting key cost drivers and opportunities.
Review should be costs for consistency and accuracy across projects.
Generate critical component lists and work with Supply Chain teams to support supplier quoting activities.
Provide recommendations to product teams on design approaches that support lower cost manufacturing.
Support competitive product teardowns to understand materials, components, assembly methods, and feature implementation.
Prepare weekly project updates and participate in regular collaboration calls with the China cost engineering team.
Participate in product reviews, technical discussions, and hack sessions.

What You Will Bring

Bachelor’s degree in Mechanical Engineering or Industrial Engineering.
Experience in an engineering related field, preferably within product development.
Strong understanding of mechanical engineering fundamentals.
Experience working with consumer products or other high volume manufacturing environments.
Strong analytical and organisational skills with excellent attention to detail.
A proactive mindset and strong drive to identify the lowest achievable product cost.
Advanced Microsoft Excel skills.
Basic knowledge of plastics and metal manufacturing processes.
Ability to work flexibly and collaboratively in a fast paced environment.
Knowledge of SolidWorks or Creo.
Strong presentation and communication skills, with the ability to deliver clear summaries, insights, and recommendations.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role 

We’re looking for an IT Infrastructure Engineer to support IT operations in multiple datacenters around the world. This is a position for a datacenter hardware expert working at the intersection of multiple technical domains

You’re welcome to work in our office in London, England. 

Your responsibilities will include: 

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture, network configurations and advanced troubleshooting

• Take charge of hardware problem management and develop new solutions

•  Act as a subject matter expert and point of escalation for team members

•  Collaborate with R&D to improve our hardware designs

• Create new processes and documentation for IT hardware team

• Improve support processes and training materials

• Travel to datacenters to participate in large scale hardware projects and collaborative events

We expect you to have: 

• Knowledge of datacenters, server and network equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix operating system and command line

• Advanced network troubleshooting skills

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be an added bonus if you have: 

• Technical certifications in relevant areas

• Skills in design and repairing electronic equipment

• Driving license type B

The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference.

We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life — from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results.

As a senior engineer, you will also play a key role in shaping technical direction — authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures.

What You Will Do

• Build and evolve a frontend platform that supports complex simulation and ML workflows — from 3D visualisations to seamless API integrations and data-heavy interfaces.
• Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development.
• Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices.
• Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions.
• Own your work end-to-end — from architectural design through to deployment and maintenance in a fast-paced, agile environment.
• Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling.
• Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches.
• Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements.

What You Bring to the Table

• A passion for the craft — a drive for engineering excellence and a commitment to sponsoring that culture across the team.
• Strong software engineering foundations — algorithms, data structures, and system design, with a passion for writing clean, maintainable, and testable code. You are a frontend engineer, not a framework developer — you understand the web platform deeply (HTML, CSS, JavaScript, browser APIs) and can build excellent interfaces regardless of the tech stack.
• Architectural versatility — proven track record building web-based user interfaces using a variety of architectural approaches — SPAs, server-rendered applications, hybrid architectures, micro-frontends — with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them.
• Web platform depth — strong understanding of how browsers work: rendering pipelines, layout and paint, networking, caching, the JavaScript event loop, and Web APIs. You optimise from first principles, not from framework-specific recipes.
• API and data handling maturity — experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility.
• Reliability and observability mindset — experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments.
• Security and accessibility awareness — familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation.
• CI/CD and deployment expertise — hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies.
• Data visualisation experience — building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users.
• Diagnostic and optimisation skills — a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles — in rendering, networking, and data processing — rather than relying on framework-level fixes.
• Communication and leadership — excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.

Ideally

• Polyglot Frontend Thinking: comfort working beyond the JavaScript ecosystem — whether that means WebAssembly, compiled-to-JS languages, or non-SPA architectures. Willingness to reach for the right tool rather than the familiar one.
• 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds.
• Design Sensibility: understanding of the limitations and trade-offs of design, layout, and typography constraints in the browser, with the ability to work with designers to reach a middle ground.
• Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns.
• Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation.

Engineering Applications make PhysicsX's AI platform usable by engineers in their daily work. The product group creates workflows and interfaces that span the engineering lifecycle, from design through manufacturing to operations, enabling engineers to harness AI capabilities. The suite ranges from ready-to-use applications that ship with the platform for engineers to use directly to a composable set of extensible components for teams who need to go further. Engineering Applications ensure that impactful AI capabilities are accessible to customers at scale.

What you will do

• Engage with product managers, designers, and users of Reference Applications to fully understand the what and why of the product’s functional requirements.
• Partner with the product leadership of Reference Applications to define the art of the possible with ambitious pragmatism, defining the how and when of product development.
• Take responsibility and accountability for the implementation of components and services by a team of software engineers, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows.
• Design and maintain services that are fully interoperable with PhysicsX’s other platform services, while remaining independently versioned, tested, and deployed.
• Define, evolve, and advocate for a scalable, modular front-end architecture that enables reuse, rapid development, and long-term maintainability.
• Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams’ prompt remediation of issues in production.
• Establish performance benchmarking to measure compliance with non-functional requirements, right-size infrastructure requests, and provide appropriate SLAs.
• Participate in establishing company-wide software engineering standards through engagement with the software engineering guild.
• Participate in the growth and development of software engineers.
• Participate in the recruitment and onboarding of software engineers.

What you bring to the table

• A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft.
• A proven ability to act as an effective technical thought-partner to non-technical stakeholders.
• A proven ability to lead teams of software engineers in a fast-paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making.
• A solid track-record of designing, building, and maintaining application services in distributed architectures.
• Background working with Kubernetes - CKA certification, is a nice to have.
• Experience with workflow orchestration, event-driven systems, and messaging (NATS, ArgoWorkflows)
• Proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice.
• Deep understanding of frontend rendering strategies and their tradeoffs: CSR, SSR, streaming SSR
• Micro-frontend architecture: module federation, runtime composition, independent deployment, and shared dependency management across teams.
• Monorepo platform experience: Turborepo/Nx/Workspaces, with ownership of shared tooling, build pipelines, and DX abstractions across multiple frontend packages.
• Advanced TypeScript: conditional types, mapped types, and template literal types, with the ability to design type-safe API layers (tRPC, Zod, OpenAPI codegen)
• Build toolchain depth: Vite internals, custom plugin authoring, bundle analysis, and measurable build performance optimisation.
• Large-dataset rendering: virtualisation strategies (TanStack Virtual), WebGL/Canvas/WebGPU for high-performance visualisation.
• Server state architecture: TanStack Query or equivalent, cache invalidation strategy, optimistic updates, background refetching, and avoiding over-fetching at scale.
• Proficiency in Python and Go, with experience in other languages a plus (Rust, C++).
• A strong understanding of the machine learning development lifecycle.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

About the Role

Samsara has several emerging Channel programs that have the potential to drive significant growth for the company. These include Insurance Partners, Resale Partners, Referral Partners, Technology Integration Partners and Fleet Management Companies. 

As a Partnership Sales Engineer, you will be working closely with our Partner Account managers and be responsible for leading technology conversations with existing and potential Partners and customers. 

Being able to navigate what is needed to create success for the Partner is essential. This person will be an expert with Samsara products, features, and APIs. Using their expertise this person will be expected to do deep discovery into the Partner environment to: (A) find solution fit, (B) determine integration level of effort, and (C) assess further technology driven revenue opportunities. It will be common to need to learn a Partner’s ecosystem by learning their products and processes and relating that back into opportunities with Samsara’s solution set.

This is a dynamic, entrepreneurial role that requires working cross-functionally to build partner engagements from scratch. The role (and team) has strong potential for growth along with our partner programs.

The role can be office-based in the UK, France, Germany or the Netherlands, or remote in any of those regions. 

You should apply if

• You want to make a difference: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.

• Your mantra is #alwaysbeprospecting: The world of operations is vast. Your customers are often out in the field and the best way to catch them is live on the phone. Samsara’s top reps do constant research to find companies and contacts to expand their pipeline. 

• You have innate curiosity in how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 

• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time.

• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 

In this role, you will focus on

• Driving engagement with Partners, particularly with technical counterparts

• Finding solution fit with Partners and foster new technology focused opportunities

• Developing relationships with key Partners, and become an expert on Partner environments and solutions

• Working closely with Product Management, and other relevant teams, to develop and maintain integrations with Partners. Influence product development and be a partner advocate

• Delivering presentations, demos, proof of value, trainings, and overall being a technical resource for Partners and Partner facing teams

• Enabling internal teams to utilize and sell Partner integrations

• Preparing technical resources for internal and external use. This may include solution proposals, training or enablement materials to help others better understand how Samsara and the Partner solution works together

• Sampling the partner experience first hand: meet with partners and attend events. 50% travel may be required

• Ability to impactfully demonstrate the value proposition of Samsara’s products and services along with the platforms core capabilities on-site, remotely via webinar sessions, or at field events such as conferences and trade shows

• Willingness to travel to visit and support partners, their related prospects and customers, and to engage in onsite customer and partner work when required

• Responding to functional and technical elements of RFIs/RFPs

• Ability to be organized and analytical, and eliminate sales obstacles using creative and adaptive approaches

• You should be comfortable working for a dynamic technical organization with a fast-growing partner and customer base

• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

An ideal candidate also has

• 5+ years of experience in a pre-sales technical role (Sales Engineer,  Solutions Consultant, etc.)

• Previous experience working in a Channel or Partner environment a plus, major plus in a Fleet Sales environment

• Strong technical and business acumen

• Excellent communication (verbal and written), customer service, and interpersonal skills 

• Working knowledge of various integration standards and transports (XML, REST, SOAP, EDI, etc.)

• Experience integrating with RESTful APIs between SaaS applications

• Exposure to various SaaS based integrations

• IoT or general tinkering experience (work or hobby) a plus

• Logistics, Supply Chain, Telematics, Manufacturing or general operations background a huge plus

• Fluency in English

• Experience of Command of the Message and MEDDPICC

• Fluency in French or German a plus

The Snr. Sales Architect is  responsible for providing technical support to prospective customers by resolving customer questions and recommending technical solutions, or collaborating with Tech Support and Product Management for complex technical issues. This position will be responsible for conducting live product demonstrations over the phone, via webinar, and face-to-face where applicable.  In addition, this position will be charged with working through advanced deployment strategies for KnowBe4 products.

Responsibilities:

• Provide pre-sale technical support for major prospective customers to answer product questions
• Provide technical product information and procedure expertise to large enterprise customers
• Collaborate with the sales team to prepare and deliver training for KnowBe4 products to prospective customers
• Provide in person, telephone, or web-based product demonstrations as requested by clients and/or Sales
• Attend various events, e.g. Trade shows, etc. to generate new business opportunities
• Provide technical expertise for Request for Proposals (RFPs) to sales team
• Provide detailed feedback and observation regarding product performance and usability to the Product team based on customer feedback and interaction
• Responsible for developing and maintaining strong working knowledge of KnowBe4 products, services and training materials
• Drive customer interest through platform education
• Communicate directly with prospective customers or end-users to gather details  as needed to fully define issues or new requirements for product issues.
• Effectively articulate the value proposition associated with KnowBe4’s products and services
• Recommend business solutions considering customer needs and KnowBe4 interests

Minimum Qualifications:

• A minimum of 2 years  in college preferred
• Experience with Gmail and Google Docs
• Experience with MS Office (Word and Excel)
• Experience with web browsers (Chrome, Internet Explorer, etc.)
• Sales Engineer experience
• Familiarity with standard concepts, practices and procedures within the IT Security Field
• Sales experience a plus
• Excellent verbal and written communications
• Highly organized and result-oriented
• Excellent time management and organization skills
• Can demonstrate technical troubleshooting and analysis ability
• Can demonstrate integrity, accountability, respect and commitment
• Motivated, energetic self-starter
• Statistics driven business professional

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

As a hardware signal integrity engineer you will develop, extract and simulate PCB structures to ensure that the high speed SERDES (112Gbps) and DDR interfaces perform correctly within the system budget. 

You will work closely with the PCB and package substrate CAD engineers to design component signal launches from BGA components and connectors, layer transition via structures, and cable interconnect. You will define the low-loss materials to be used for future designs and work closely with Graphcore’s system architecture team and suppliers to ensure the best possible performance is achieved. You will be an expert user of high-speed PCB simulation tools and be familiar with industry best practice in high-speed digital system design.

The Team

Graphcore’s Hardware Engineering Team creates both products for sale in volume production and hardware test & validation systems based on Graphcore’s IPU processor.

These systems allow Graphcore’s customers to develop leading-edge machine-leaning solutions for training and inference.

Responsibilities and Duties

Signal and Power Integrity specialist for the development of production systems and test boards for Graphcore’s family of processors.
Includes:

• Development of printed circuit board structures for high frequency (112Gbps, 16Gbps) SERDES interfaces, DDR interfaces 
• PCB stackup definition
• System, PCB and substrate level simulation and analysis of signal and power integrity
• Graphcore Integrated Circuit device interface requirements definition, tool & vendor relationships
• PCB design requirement and constraint definition, PCB layout supervision
• Prototype bring-up, evaluation, validation & system test

Candidate Profile 

• 5+ years’ experience in high-speed digital circuit development, with a deep understanding of signal and power supply integrity
• Knowledge of high-speed circuit design requirements to ensure signal integrity and robust rejection of interference and crosstalk is essential
• Experience of high frequency (tens of GHz) SERDES design and validation
• Experience with ANSYS SIWave, HFSS, and/or Mentor Hyperlynx Signal and Power Integrity tools
• High speed processor system design with experience in interfaces such as SERDES, PCI, DDR, Ethernet, etc.
• Design of BGA & connector pad launches, via structures and transmission lines for GHz signals.
• This position will require extensive practical work in the lab, bringing up, debugging and validating designs
• Expertise in the use of vector network analysers, high speed digital oscilloscopes, signal generators
• A rigorous approach is required to make sure designs will work correctly the first time
• Independent working and the taking of responsibility, with excellent cooperative and communications skills to work in a small team environment
• Experience working in a small team, which requires a wide range of skills, an eagerness to participate in all parts of the development cycle from concept to testing in the lab and supporting manufacture and customers. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

ABOUT THE JOB

Anduril is seeking a Stress Engineer to join the Maneuver Dominance team in our London office. The Maneuver Dominance (MD) Team at Anduril develops aerial robotic systems designed to operate in large coordinated teams in concert with ground maneuver forces. We are chartered to add to Anduril’s list of successful aerial drone platforms like Ghost, Altius, or Roadrunner. Here you will work on core product development for unmanned rotorcraft and complex systems, including but not limited to analysis and development of a novel payload carriage and release system, analysis and testing of the system. The ideal candidate would be practical, hands-on and a self starter with high growth potential.

WHAT YOU'LL DO

• Own and drive the analysis of the payload carriage and release system for a novel aircraft type.
• Use first principles as a basis for every decision and discern the right level of analysis to apply. Apply and execute progressively more complex analysis methods (hand calculations, spreadsheet, and MATLAB/Python first-order models) as appropriate to the situation.
• Develop appropriate computational models and simulations to predict stress distribution, natural frequencies, load paths, deformation, fracture, and fatigue life as needed to meet design schedules.
• Work in collaboration with Mechanical Design Engineers to create and refine design solutions based on best practice.
• Participate in technical efforts to define requirements, propose possible solutions, and establish a methodology for evaluating and verifying mechanical systems from a stress perspective. This will involve close collaboration with partner organizations, in both the UK and US.
• Support the design, instrumentation selection, execution, and data processing of tests to validate models and predictions, including static, dynamic, vibration and fatigue tests.
• Actively contribute to the enhancement of team tools, templates, processes, and standards.
• Cultivate a vibrant, positive, dedicated, educational, and enjoyable collaborative work environment.
• Travel to test sites and vendors to support development test activities as needed.

REQUIRED QUALIFICATIONS

• BEng, BSc, MEng, MSc or higher in mechanical or aerospace engineering, or equivalent work experience.
• 10+ years in a technical engineering role in a professional aerospace setting, with demonstrated track record of successful stakeholder management, consensus building and successful project delivery.
• Strong proficiency in FEA software (ANSYS or Abaqus preferred) solution sequences for linear and non-linear static analyses.
• Experience in NX/Teamcenter and proficiency in CAD software with specific emphasis on complex fixturing and tooling design.
• Proficiency in Matlab or Python (or equivalent) for developing analytical models, data acquisition, and automation.
• Strong technical knowledge in core engineering principles, fundamental mechanics of composite and metallic materials, design, analysis and testing.
• Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies.
• An excellent communicator, experienced in report writing and the development and delivery of presentations across a range of settings.
• Eligible to obtain and maintain an active U.K. security clearance.

PREFFERED QUALIFICATIONS

• Experience with design and development of payload carriage and release systems.
• Experience in rotorcraft stress analysis.
• Demonstrated passion for aviation, aerospace, and/or unmanned systems.
• Outstanding leadership and interpersonal skills.

Hudson River Trading (HRT) is seeking a Physical Design Engineer with a broad, versatile skillset to join our growing Hardware team. In this role, you will help deliver performance-critical ASICs and advance our physical design methodologies on leading-edge process nodes.

The Hardware team at HRT builds high-performance compute engines using FPGA and ASIC technology to drive low-latency trading decisions on global markets. We create custom solutions across the full spectrum of speed and sophistication, from bespoke circuits to world-class machine learning accelerators.

Responsibilities

• Drive design-for-test (DFT) methodologies and implementation 
• Contribute to physical implementation, from RTL handoff through GDSII on advanced process nodes 
• Partner on floorplanning and physical optimization for high-performance, latency-critical designs
• Close timing across multiple modes and corners while optimizing power, performance, and area (PPA)
• Diagnose and resolve physical design issues such as timing bottlenecks, congestion, and IR/EM violations
• Build, maintain, and improve repeatable, automated physical design flows
• Develop scripts and tooling to improve productivity, robustness, and insight into design behavior
• Collaborate closely with RTL, architecture, and other hardware engineers to influence design decisions early

Qualifications

• Experience working in high-performance ASIC design environments
• Strong fundamentals in digital logic, circuit design, and process technology
• Familiarity with DFT concepts and testing methodologies
• Strong scripting and automation skills (Python, Tcl, shell), including parsing and analyzing tool outputs
• Ability to design robust methodologies, diagnose complex failures, and improve physical design flows
• Applied use of statistics in analyzing timing, power, or design data (preferred)
• Hands-on experience with static timing analysis and timing closure methodologies
• Expertise using industry-standard physical design and signoff tools (e.g., Innovus, PrimeTime)

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

As a Senior Software Engineer at Tipalti, you’ll join a fast-growing fintech on a mission to automate and optimize financial workflows for SMBs. Our engineering culture is collaborative, product-driven, and focused on delivering real impact for customers.

This role blends hands-on development with a strong product mindset. You’ll play a key role in building and scaling integration capabilities—particularly around ERP systems (with a preference for NetSuite)—while contributing across the full software development lifecycle.

You’ll work closely with Product, Design, and external partners to define requirements, shape solutions, and deliver high-quality, scalable systems.

Responsibilities

• Design, build, and maintain robust, scalable, and well-tested software across the stack
• Lead development of ERP integrations, particularly with NetSuite and similar platforms
• Develop and maintain APIs, services, and event-driven systems
• Participate in architecture and design discussions, helping shape technical direction
• Collaborate closely with Product Managers to refine requirements and propose solutions
• Identify edge cases, raise technical considerations, and improve system reliability
• Conduct code reviews and uphold high standards for code quality and maintainability
• Contribute to system design for performance, scalability, and security
• Work with external partners and vendors on integration initiatives (ERP, payment systems, etc.)
• Mentor engineers and share knowledge across the team

Requirements

• Strong experience building backend systems using C# and Node.JS
• Experience integrating with ERP systems, especially NetSuite
• Experience working with SQL (MSSQL) and NoSQL databases (MongoDB, Redis)
• Experience building and consuming APIs (REST and/or SOAP)
• Familiarity with event-driven architectures and messaging systems (e.g. RabbitMQ, Bull/Redis)
• Experience working with cloud platforms (AWS preferred)
• Strong understanding of software design principles and clean coding practices
• Comfortable working across the full stack when needed
• Excellent communication and collaboration skills

Why Join Tipalti?

• 🤝 Open, inclusive, and supportive engineering culture
• 🧑‍💻 Work on products used by some of the world’s fastest-growing companies
• 💰 Equity in a late-stage scale-up
• 🍽 Breakfast and lunch provided three days a week (Mon, Tue, Thu)
• 🦷 Private medical and dental cover
• 📱 £100/month mobile allowance + £26/month internet allowance
• 🥚 Daily breakfast and snacks in the office
• ✈️ 25 days holiday + bank holidays

About the Role

This is an exciting opportunity for a Senior Geo-Environmental Engineer to join BakerHicks, supporting the expansion of our Land Quality and Geo-Environmental capability across the UK.

Whether based in London or Motherwell, you will play an important role in strengthening our regional presence. In London, this includes helping establish and grow a team. In Motherwell, you will contribute to the continued development of an expanding capability.

The Team and Projects

• Work across infrastructure, aviation, nuclear, life sciences and public sector projects
• Exposure to varied and technically engaging work
• Part of a wider multidisciplinary business

Key Responsibilities

• Deliver Geo-Environmental and Ground Engineering outputs across project lifecycles
• Prepare and review Phase 1 Desk Studies and Conceptual Site Models
• Prepare and review Phase 2 interpretative reports and risk assessments
• Undertake ground gas risk assessments in line with BS8485 and CIRIA guidance
• Prepare Remediation Method Statements
• Specify and support ground investigations, including laboratory testing
• Review technical work produced by junior engineers and graduates
• Support and mentor early-career team members
• Attend client meetings and site visits
• Review subcontractor reports for technical quality and compliance
• Manage project budgets, timelines and delivery expectations
• Contribute to the development of Geo-Environmental services

Skills and Experience

Essential

• Experience within a Geo-Environmental or Engineering Consultancy at Engineer or Senior Engineer level
• Chartered membership (SocEnv, Geological Society, CIWEM or similar)
• Degree in Geology, Environmental Science, Applied Geology or related discipline
• Experience delivering Phase 1 and Phase 2 reports and risk assessments
• Strong understanding of ground investigation techniques and sampling methods
• Familiarity with current UK standards and guidance
• Commercial awareness including budgets and delivery timelines
• Strong communication skills
• Ability to work independently and within multidisciplinary teams
• Full UK driving licence

Desirable

• Materials Management Plans
• Soil classification tools such as HazWasteOnline or WM3
• Input to fee proposals
• Sector experience in aviation, infrastructure, nuclear or life sciences

What This Role Offers

• Opportunity to contribute to the development of a growing Geo-Environmental team
• Involvement in establishing a presence in London or strengthening a team in Motherwell
• A mix of technical delivery, mentoring and team development
• Exposure to a wide range of projects across the UK

Apply

If you are looking to take on a role with responsibility, variety and the opportunity to contribute to a growing team, we would like to hear from you.

Many of the positions within our company are subject to security clearance or security assurance levels.
The successful candidate must be able to obtain and maintain the appropriate level of security clearance or assurance level for this role, in line with client and sector requirements.

In some cases, additional nationality or residency criteria may also apply due to specific client or national security obligations.

Further information on National security clearance levels can be found on the UK Government website: (National security vetting: clearance levels - GOV.UK) 

About BakerHicks 

We’ve been innovating in design, engineering and project delivery since 1957 and operate from 14 locations for a truly European reach. For more about our company story, see: About | BakerHicks. 

BakerHicks. A Morgan Sindall Group company.  

Benefits 

Whatever your discipline, you’ll be alongside some of the most talented people in the industry. Our network of offices are appealing, friendly and comfortable spaces, easily accessible by car or public transport. And our salary and benefits packages are some of the best in the industry.  

What you get will depend on what you do, with individual performance-related rewards also on offer in addition to: 

• Company car or cash allowance 
• Up to 6% matched contributory pension plan 
• Life assurance scheme 
• 25 days annual leave plus ability to buy additional leave 
• Discount scheme (including gym membership, mobile phones etc) 
• Flexible/hybrid working 
• Family friendly policies 
• Employee assistance 
• Professional development 

BakerHicks is an equal opportunity employer. We care about creating an inclusive atmosphere and are committed to promoting diversity and inclusion throughout.  
BakerHicks is an inclusive organisation welcoming talent from all backgrounds. Applicants are assessed on the basis of personal merit and qualifications.   

#LI-RK1

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for transitioning existing client environments to Monolith AI’s next-generation platform, maintaining the high velocity needed to support a rapidly growing customer base. This team works closely with Customer Success and Product to ensure migrations are accurate, meet defined business requirements, and are delivered at scale.

About the Role:

Monolith AI is seeking a talented Software Developer for an intensive 3-month migration project transitioning existing client environments to our next-generation platform. This role requires a developer who excels at rapidly understanding undocumented systems, extracting clarity from complex database structures, and building practical migration tooling in Python. You’ll work closely with our 15-person technical team (currently doubling), collaborating extensively with Customer Success and Product to ensure migrations meet defined business requirements while maintaining high velocity.

In this role, you will:

• Rapid System Understanding
  • Quickly grasp existing PostgreSQL database schemas through code inspection, team discussions, and reverse engineering
  • Understand new platform database architecture and how legacy data maps to the new structure
  • Work with pickle files and S3 object storage to understand serialized data structures
  • Extract clarity from poorly documented legacy systems through hands-on investigation
• Cross-Functional Requirements Gathering
  • Collaborate with Customer Success to understand client migration requirements and acceptance criteria
  • Partner with Product team to define and iterate on what constitutes acceptable migration outcomes
  • Balance technical constraints with business needs to establish pragmatic migration standards
  • Clarify ambiguous requirements and drive decisions on edge cases and trade-offs

• Product Context & Impact Analysis
  • Understand how database entries and S3-stored objects drive UI behavior and user workflows
  • Work with the existing team to learn system behavior through discussions and knowledge transfer
  • Identify how legacy data structures distribute across new platform tables and storage

• Migration Tool Development
  • Build Python migration scripts to convert legacy notebooks to the new platform format
  • Work with Flask and FastAPI layers to understand API interactions and data flow
  • Handle pickle file deserialization and data transformation logic
  • Implement validation against defined Customer Success requirements (not 100% data integrity)

• Velocity & Communication Management
  • Maintain rapid project pace with tight 3-month timeline
  • Provide frequent progress updates to the tech lead on development speed and blockers
  • Proactively communicate risks, timeline concerns, and decision points
  • Make pragmatic technical decisions that balance quality with delivery speed

• Testing & Validation Against Requirements
  • Test migration outputs against Customer Success acceptance criteria
  • Validate migrated notebooks meet defined business requirements
  • Identify and communicate gaps between migration output and requirements for product decisions

• Process Documentation & Knowledge Transfer
  • Document the migration process, key decisions, and data mapping logic
  • Create runbooks for executing migrations and handling common issues
  • Transfer knowledge primarily through discussions with the existing team
  • Prepare materials enabling team to execute and troubleshoot migrations post-contract

Who You Are:

• 3+ years of professional software development experience
• 2+ years working with Python in production environments
• Experience working with PostgreSQL databases and complex data structures
• Demonstrated ability to reverse engineer and understand undocumented systems
• Previous work in fast-paced, deadline-driven environments
• Programming: Strong Python proficiency including handling pickle files, data processing, and object serialization
• Databases: Solid understanding of PostgreSQL including complex data structures, relationships, and schema interpretation
• APIs: Familiarity with Flask and/or FastAPI frameworks and RESTful API concepts
• Cloud Storage: Experience with S3 or similar object storage services for reading/writing data
• System Investigation: Ability to read and understand existing codebases to extract system behavior
• Version Control: Proficiency with Git and collaborative development workflows

Preferred:

• Experience with data migration or system modernization projects
• Background working with legacy systems or technical debt remediation
• Familiarity with Jupyter notebooks or similar computational environments
• Previous contract or consulting roles requiring rapid onboarding
• Experience in startup or scale-up environments with evolving requirements
• Knowledge of data serialization formats and their trade-offs
• Prior work extracting understanding from poorly documented codebases
• Experience balancing technical perfection with business pragmatism

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Rapid Learner: You can quickly understand complex, undocumented systems through code inspection and experimentation, and extract clarity from incomplete information.
• Pragmatic & Velocity-Driven: You thrive in fast-paced environments with tight deadlines, make practical trade-offs between thoroughness and speed, and maintain a strong bias toward action and delivery.
• Communicator: You proactively provide progress updates, surface blockers early, and clearly articulate technical concepts to non-technical stakeholders like Customer Success and Product.
• Collaborative: You build relationships quickly, partner effectively with Customer Success and Product to understand business requirements, and actively engage with the existing technical team to facilitate knowledge transfer.
• Owner: You take full ownership of deliverables despite a short contract timeline, and maintain composure and productivity in a dynamic, growing organisation (team currently doubling).
• Results-Focused: You prioritise work that directly impacts migration success, stay transparent about what’s achievable within timeline constraints, and are accountable when risks emerge.

Why Monolith AI?

At Monolith AI, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Why this Role 

BakerHicks is supporting the transformation of the UK’s electricity network, delivering infrastructure that is critical to energy security, resilience, and the transition to net zero. As renewable generation expands and transmission reinforcement programmes accelerate, demand for overhead line engineering capability continues to grow.

We are seeking a Mechanical or Electrical Engineer – HV Overhead Line (OHL) Design to support the design and delivery of new and refurbished overhead transmission line projects across the UK. This role offers an excellent opportunity for engineers from mechanical or electrical backgrounds to transition into a highly specialised, high‑demand discipline within the power transmission sector.

You will join a collaborative, multidisciplinary team and contribute across the full project lifecycle, from early concept through to detailed design. Comprehensive training, mentoring from experienced overhead line specialists, and clearly defined development pathways will support your continued professional and technical growth at BakerHicks.

About You 

You are a technically capable engineer with a background in mechanical or electrical engineering and a clear interest in developing a career within the energy and utilities sector. You bring strong analytical capability, sound engineering judgement, and a delivery‑focused mindset, with the ability to work effectively across multiple projects and disciplines within a regulated environment.

You will be degree qualified (or equivalent) in Mechanical or Electrical Engineering and motivated to pursue professional development, including working toward chartership.You are curious, adaptable, and keen to apply your existing engineering knowledge to large‑scale structural and electrical systems within high‑voltage infrastructure.

Key Purpose

• Support the design of new build and refurbished overhead transmission lines between 11kV and 400kV.
• Apply mechanical or electrical engineering principles to the design of overhead line systems, components, and structures.
• Support conductor system design, including tensions, clearances, thermal ratings, and load cases.
• Contribute to mechanical and structural assessments of towers, poles, foundations, and fittings.
• Assist in producing engineering calculations, technical reports, specifications, and drawings.
• Support concept, FEED, and detailed design stages across multiple projects.
• Ensure designs comply with UK Transmission Owner standards and relevant engineering regulations.
• Collaborate closely with civil, structural, mechanical, and electrical disciplines to deliver integrated design solutions.
• Contribute to technical problem solving, continuous improvement, and innovation within the Transmission & Distribution team.

Experience & Skills Required

Essential:

• Degree in Mechanical or Electrical Engineering (or equivalent).
• Experience in mechanical or electrical engineering environments such as M&E, aviation, automotive, rail, power systems, manufacturing, rotating equipment, structural mechanics, or similar sectors.
• Strong analytical skills, with an interest in large‑scale structural, mechanical, or electrical systems.
• Ability to manage tasks across multiple projects while meeting programme, quality, and budget requirements.
• Good written and verbal communication skills, including report writing.
• A proactive approach to learning and developing specialist technical expertise.
• Interest in building a long‑term career within the energy, utilities, or power transmission sector.

Desirable:

• Experience using CAD platforms such as AutoCAD or MicroStation.
• Knowledge of mechanical loading, materials behaviour, FEA concepts, or electrical system design.
• Exposure to infrastructure, utilities, grid, or high‑voltage engineering environments.
• Experience working within regulated or safety‑critical industries.

Many of the positions within our company are subject to security clearance or security assurance levels.
The successful candidate must be able to obtain and maintain the appropriate level of security clearance or assurance level for this role, in line with client and sector requirements.

In some cases, additional nationality or residency criteria may also apply due to specific client or national security obligations.

Further information on National security clearance levels can be found on the UK Government website: (National security vetting: clearance levels - GOV.UK) 

About BakerHicks 

We’ve been innovating in design, engineering and project delivery since 1957 and operate from 14 locations for a truly European reach. For more about our company story, see: About | BakerHicks. 

BakerHicks. A Morgan Sindall Group company.  

Benefits 

Whatever your discipline, you’ll be alongside some of the most talented people in the industry. Our network of offices are appealing, friendly and comfortable spaces, easily accessible by car or public transport. And our salary and benefits packages are some of the best in the industry.  

What you get will depend on what you do, with individual performance-related rewards also on offer in addition to: 

• Company car or cash allowance 
• Up to 6% matched contributory pension plan 
• Life assurance scheme 
• 25 days annual leave plus ability to buy additional leave 
• Discount scheme (including gym membership, mobile phones etc) 
• Flexible/hybrid working 
• Family friendly policies 
• Employee assistance 
• Professional development 

BakerHicks is an equal opportunity employer. We care about creating an inclusive atmosphere and are committed to promoting diversity and inclusion throughout.  

BakerHicks is an inclusive organisation welcoming talent from all backgrounds. Applicants are assessed on the basis of personal merit and qualifications.   

#LI-TK1

Overview

As a Presales Consultant you will be responsible for planning and designing Enterprise Networking and Security infrastructures for our clients. You will be a key contributor in the pre-sales process, assisting the regional sales team in evaluating customers’ needs, and developing solutions from concept to implementation. 
  
From strategy to fulfillment to managed services, our engineering centric solutions enable our clients to realize what it means for technology to do more. 

Your Impact

The essential functions of this position include but are not limited to the following:

• Provide technical expertise/credibility to account team on designated focus area
• Conduct customer presentations on ePlus ‘value proposition’ and technical solution set and focus areas
• Assist sales account managers with overall account planning as it relates to technical aspects of hardware, software, and services opportunity development
• Assist sales account managers with project management for presales engagements
• Complete technical sections for RFP/RFI/RFQ responses
• Assist account teams with collecting customer business and technical requirements and determining ePlus recommended solution(s)
• Develop solution architecture and detailed line item configurations/bills of materials (BOMs)
• Develop solution proposal and/or presentation of recommended solution
• Assist with technical scoping/review for Statement of Works (SOW).
• Function as liaison to end-user customer technical staff regarding solution and implementation specifics
• Function as a liaison between the sales team and professional services organization to vet solution recommendations and to complete technical portions of the SOW, as appropriate
• Function as technical liaison and ePlus ambassador with field OEM sales and technical teams
• As appropriate, assist ePlus sales team in dealing with customer satisfaction issues surrounding technical aspects of a recommended solution, or its implementation and deployment.  As needed, assist in developing ‘get well’ plan
• Complete training per development plan and maintain certifications in accordance with focus area
• Meet with key vendors to stay current on products and technologies

Qualifications

Experience/Skills:

• 7+ years of hands-on experience in IT
• 3+ years of experience performing as Presales Consultant or Systems Engineer
• Multiple industry-recognized Certifications. i.e. CCNP, CCDP, JNCIS, JNCIP, PNCSA, PCNSE, VCP
• Strong Enterprise networking experience with vendors such as Cisco, HPE/Juniper
• Strong Enterprise security experience with vendors such as Cisco, PaloAlto, Fortinet
• Excellent customer service skills, both in-person and over the phone/video conference
• Excellent presentation, written communication, and documentation skills
• Strong business requirement understanding including costing, P&L and pricing strategies
• Strong attention-to-detail
• Ability to think on your feet and come up with solutions quickly
• Ability to learn new technologies quickly

Highly desirable – two or more from the following:

• Wi-Fi experience – Aruba, Cisco, MIST
• Compute & Hyper convergence – HPE, Dell, Nutanix
• Ultra-Low Latency (ULL) experience –Arista
• SD-WAN experience – Cisco (Viptela), HPE (SilverPeak), VMWare (VeloCloud)
• Collaboration experience – Cisco Collab, Webex calling
• DevOps and automation experience – Ansible, Chef, Puppet, Python, CICD
• Service Provider experience – MPLS, VPLS
• Cloud experience – AWS, Azure
• Storage experience – NetApp, Pure
• Virtualization – VMWare

#LI-DY1

#IND1

What we do:

The FP&A Sales Finance team is a critical partner to The Trade Desk’s EMEA commercial organisation, driving sustainable growth through data-driven financial insight, revenue forecasting, and commercial decision support. EMEA spans 15+ markets – including the UK, Germany, France, Spain, and the Nordics – each with distinct market dynamics, programmatic maturity, and growth profiles. 

As EMEA scales and the complexity of commercial operations grows, the team is building the analytical infrastructure and business partnership model to support the next phase of growth. We are seeking a Manager, Sales Finance EMEA to serve as a strategic financial partner to EMEA sales and commercial leadership: someone who can move fluidly from a VP-level strategy conversation in the morning to building the analytical model or presentation that supports it in the afternoon. Being able to navigate ambiguity will be critical, we are building, advising, and doing all in one. 

What you'll do:

• Act as a trusted finance business partner to EMEA sales and commercial leadership; providing clear, data-backed recommendations on revenue performance, growth opportunities, and resource allocation.
• Support and maintain EMEA revenue forecasting: working alongside quantitative projection models, adding commercial context, identifying risks and opportunities, and communicating outcomes to leadership.
• Build and manage analytical frameworks for the EMEA P&L: take-rate monitoring, contra management, OPEX tracking, and headcount planning.
• Lead the development of executive-level materials: weekly revenue commentary, quarterly business reviews, and exec-ready presentations, that translate complex financial dynamics into clear narratives.
• Partner with Business Strategy & Activation, BI, Systems Engineering, and Data teams to improve reporting infrastructure, ensure data integrity, and build scalable, repeatable analytical processes.
• Connect and manipulate large datasets across multiple sources (Snowflake, parquet, Excel) to surface insights that wouldn’t be visible from standard reporting.
• Support GTM initiatives and strategic commercial decisions with rigorous financial modelling and scenario analysis
• Operate across the full spectrum: strategic sounding board for senior leaders, analytical builder, and hands-on executor – often in the same week. 

Who you are: 

Core requirements 

• 6-7+ years of relevant experience in FP&A, commercial finance, or a related analytical and strategic discipline.
• A strategic thinker: able to step back, identify the real question, and frame a problem clearly before executing on it.
• A relationship builder: earns trust with senior stakeholders through rigour and reliability, not just seniority. Comfortable in a room with EMEA VPs on Monday and building the slides that underpin the conversation on Tuesday.
• Engineer-minded: understands how data is structured, how to join datasets, how to build analytical pipelines. Not necessarily a software engineer, but comfortable with or learning to run Python, querying SQL, and being able to figure out / self-serve to get or create the data to answer the question or build the analysis.
• Finance and FP&A grounding: solid understanding of revenue planning, cost drivers, and ROI frameworks. Able to construct and interrogate a financial model, not just populate one.
• Comfortable with ambiguity: thrives in environments where the brief isn’t always fully formed, the data isn’t always clean, but the answer needs to be reasoned from first principles.
• No ego: equally at home in strategic advisory mode and execution mode. Able to listen and synthesise in a senior meeting, then operationalise the output without needing to be asked twice.
• A framework thinker who also executes: the role is not about generating ideas – it is about building systems, maintaining them, and improving them over time.
• Exceptional communication: translates financial and quantitative complexity into language that commercial leaders can act on.
• Has fun with work. 

Nice to have 

• Experience in advertising technology, programmatic, or adjacent data-driven industries.
• Experience in high-growth technology companies.
• Familiarity with the programmatic advertising ecosystem and agency/advertiser dynamics. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Your Impact at LILA

We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a safety research agenda that explores longer-term needs such as oversight of superintelligent scientific systems.

We’re seeking a Technical Mitigations Lead, to lead the build out of safety systems at Lila for the safe deployment of our scientific capabilities to the world. Given the novelty of Lila’s workflows, integrating frontier-class language models with narrow scientific tools and lab-based automation, this role will require the design and deployment of technical safeguards beyond the current state-of-the-art.

We expect the person in this role to start off the initial mitigations build-out, and then slowly build a team to support this function.

What You'll Be Building

• Set the build and research strategy for Lila’s safety systems, across scientific data analysis and generation pipelines, safety post-training, refusal classifiers, automated safety-testing / red-teaming systems, and monitoring systems.
• Conduct initial safeguards experimentation and buildout for Lila’s specific scientific needs, and subsequently lead a small team to execute on the build and research agenda
• Lead safety systems research to iterate Lila’s systems beyond the state of the art, given the needs of technical safeguards for both in silico and lab-based scientific workflows.
• Partner closely with
  • Other members of the safety team, such as domain-specific experts (bio, chem, materials) and eval buildout teams, and
  • Non-safety teams, such as core AI, lab automation, and product teams,
• Contributing to broader, high-quality research efforts - as and when needed - for scientific capability evaluation and restriction.
• Contribute to external communications on Lila’s safety efforts.

What You’ll Need to Succeed

• Track record of building safety systems, classifiers, or conducting post-training for frontier-class problems - science, reasoning, programming, etc.
• 4-6+ years working in technically engineering with ML systems.
• Experience building scalable, production systems, not just prototypes.
• Demonstrated ability to set research directions for open problems in post-training, classifier buildouts, and other relevant systems.
• Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.

Bonus Points For

• Experience in developing or applying ML to biological or physical sciences
• Experience in building safeguards for scientific risks for frontier models / narrow scientific tools.
• Demonstrated ability to lead teams towards engineering goals

The Role…

As a Product Developer within our Upholstery team, you will be responsible for bringing commercially viable, design-led furniture to life—from initial concept through to production. Working closely with Design, Product Development, and Sourcing, you will ensure all products are developed to meet quality, cost, and timeline expectations while staying true to brand vision. 

*This role is a 12-Month fixed term contract*

Key Responsibilities…

Product & Technical

• Own the end-to-end development of upholstery products from concept through to production
• Translate design briefs into detailed product specifications, ensuring feasibility and consistency
• Manage the development critical path, ensuring key milestones are met
• Lead on construction, comfort, and material specifications (frames, fillings, fabrics, finishes)
• Work closely with suppliers to refine prototypes, ensuring quality and cost targets are achieved
• Troubleshoot development issues, proposing solutions without compromising design integrity
• Work with QA teams on testing protocols and approvals
• Maintain accurate technical documentation and product data

Supplier Management

• Partner with global suppliers to develop and engineer products to required standards
• Conduct regular reviews on prototypes, samples, and production readiness
• Build strong supplier relationships to drive innovation and continuous improvement

Commercial Awareness

• Ensure products are developed within target cost prices and margin expectations
• Understand customer needs and market trends to inform product decisions

Cross-Functional Collaboration

• Work closely with Design to maintain creative intent throughout development
• Partner with Merchandising, Sourcing, and Logistics teams to ensure smooth product launches
• Support range building and sign-off processes

Experience Required

• Proven experience in upholstery product development within a retail or furniture brand
• Strong technical understanding of upholstery construction, materials, and manufacturing processes
• Experience working with overseas suppliers (e.g. Europe/Asia)
• Commercially aware, with the ability to balance cost, quality, and design
• Excellent project management and organisational skills
• Confident communicator, able to influence cross-functional teams and suppliers
• Detail-oriented with a problem-solving mindset

Desirable Skills and Experience 

• Experience working in an in-house design-led brand
• Knowledge of testing and compliance standards for upholstery (e.g. fire regulations, durability)
• Exposure to sustainable materials and responsible sourcing practices

Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems.
• Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain.
• Transform prototype model implementations to robust and optimised implementations.
• Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services.
• Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute.
• Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success.
• Own Research work-streams at different levels, depending on seniority.
• Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
• Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products.
• Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor.

What you bring to the table

• Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering.
• Ability to work autonomously and scope and effectively deliver projects across a variety of domains.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following:
  
  • Scientific computing;
  • High-performance computing (CPU / GPU clusters);
  • Parallelised / distributed training for large / foundation models.
• Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to:
  • scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus);
  • distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton);
  • cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP);
  • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
  • C/C++ for computer vision, geometry processing, or scientific computing;
  • software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps);
  • container-ization and orchestration (Docker, Kubernetes, Slurm);
  • writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Shape Research group strategy and culture in a significant way, especially in domains of expertise.
  • Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack.
  • Define necessary profiles to execute this strategy.
  • Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment.
  • Nurture younger colleagues to grow their skillset and guide their professional development.
• Own Research work-streams at a high-level to deliver outcomes.
  • Align priorities with problem stakeholders, internal and external.
  • Set the technical direction for the stream and apply judgement and taste to drive progress.
  • Plan roadmaps with clear milestones for key decisions and outcomes.
  • Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap.
  • Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment.
• The below activities in particular.
  • Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems.
  • Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain.
  • Transform prototype model implementations to robust and optimised implementations.
  • Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services.
    • Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute.
  • Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success.
  • Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
  • Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products.
  • Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor.

What you bring to the table

• Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering.
• Ability to work autonomously and scope and effectively deliver projects across a variety of domains.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following:
  • scientific computing;
  • high-performance computing (CPU / GPU clusters);
  • parallelised / distributed training for large / foundation models.
•  4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in most of the below:
  • • scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus);
    • employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton);
    • employing cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP);
    • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
    • building or using C/C++ for computer vision, geometry processing, or scientific computing;
    • following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps);
    • container-izing and orchestrating compute tasks (Docker, Kubernetes, Slurm);
    • writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations, empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace, Materials, Energy, Semiconductors, and Automotive.

The Role

PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do.

We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI.

You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering.

What You Will Do

• Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows.
• Architect and build fine-grained role-based and attribute-based access control (RBAC/ABAC) models that scale across multi-tenant environments.
• Own the platform's permissions layer end-to-end: from policy definition and enforcement through auditing and compliance reporting.
• Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments.
• Define and enforce security standards across APIs and services, including schema governance, data segregation, and least-privilege access patterns.
• Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi-tenant environment.
• Contribute to the design of multi-service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches.
• Mentor junior and mid-level engineers, facilitate technical discussions, and build consensus around architectural decisions.

What you bring to the table

• A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team.
• Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python.
• Authentication and identity expertise, hands-on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token-based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD).
• Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy-as-code frameworks (e.g., OPA/Rego, Cedar) in production multi-tenant systems.
• Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable.
• Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters.
• API and service design maturity, experience designing multi-service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward-compatible schemas, ACLs, ambassador sidecars).
• Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation.
• Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows.
• CI/CD and deployment expertise, hands-on experience building and optimising CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments.
• Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications.
• AI-native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty.
• Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture.

Ideally

• Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++.
• Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts).
• Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on-premises, and air-gapped environments.
• Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Senior Platform Engineer – Platform Operations London (Hybrid) | Engineering | Full Time

The Role

As PhysicsX scales, the operational health, cost efficiency and developer experience of our platform become as important as the underlying infrastructure. Our Platform Operations team is responsible for everything that makes the platform observable, governable and pleasant to work with, from the monitoring stack and alerting pipelines through to the developer portal, CI/CD tooling and cloud cost management.

We are looking for a Senior Engineer to join Platform Operations. This is a role for someone with a strong DevOps background who cares deeply about operational excellence, developer experience and the sustainable cost of running infrastructure at scale. You will work closely with Platform SRE, Core Infrastructure and product engineering teams to ensure the platform is always observable, efficient and easy to consume.

What You Will Do

• Own and evolve the platform monitoring and observability stack, including Grafana, Loki, Mimir and associated alerting and dashboarding practices.
• Define and maintain SLO dashboards and alerting policies that give platform and product teams clear visibility into system health.
• Lead the adoption and operation of Backstage as the internal developer portal, building and maintaining plugins, service catalogue entries and golden path templates that improve the developer experience across PhysicsX.
• Drive FinOps practices across the platform, including cloud cost attribution, showback and chargeback reporting, and cost anomaly detection across multi cloud environments.
• Implement and maintain IAM and permissions policies across AWS, GCP, Azure and equivalent cloud providers, ensuring least privilege access is enforced consistently.
• Contribute to lightweight security practices including audit logging, vulnerability scanning integration in CI pipelines and policy enforcement using tools such as OPA or Kyverno.
• Collaborate with Core Infrastructure and Runtime teams to surface operational insights and feed operational learnings back into infrastructure and runtime design.
• Drive incident response practices, including runbook creation, post mortem facilitation and reliability improvement initiatives.
• Contribute automation and tooling in Python or Golang to reduce toil and improve platform operability.

What You Bring to the Table

• DevOps and platform operations background – significant experience in a platform operations, DevOps or SRE role, with a track record of improving reliability, observability and developer experience in a fast moving engineering environment.
• Observability stack expertise – deep familiarity with the Grafana ecosystem, including Loki for log aggregation, Mimir or Prometheus for metrics, and Grafana for dashboarding and alerting. Experience designing observability strategies for distributed systems.
• FinOps and cost observability – practical experience implementing cloud cost attribution and reporting across multi cloud or multi tenant environments, including familiarity with tools such as OpenCost, Kubecost or cloud native cost management consoles.
• Kubernetes knowledge – solid operational familiarity with Kubernetes, sufficient to deploy, debug and manage platform components and understand how infrastructure decisions affect operational outcomes.
• Security awareness – lightweight but genuine experience with security tooling, including policy enforcement (OPA, Kyverno or equivalent), audit logging and vulnerability scanning integrated into delivery pipelines.
• Multi cloud familiarity – experience working across more than one cloud provider, with an appreciation for the differences in IAM, networking and cost models.
• Software engineering capability – you are comfortable writing scripts and tooling to automate operational tasks. Python is the primary language expected; Golang familiarity is a bonus. Interviews will include a coding element.
• Communication and collaboration – you can translate operational data and platform health into clear, actionable insight for engineering teams and leadership.

Ideally

• Experience with Terraform or Crossplane for infrastructure provisioning, even if infrastructure ownership sits with a separate team.
• Familiarity with GitOps workflows using Argo CD, Flux or equivalent tooling.
• Experience with on premises or hybrid infrastructure environments.
• Background in ML platform, simulation or HPC operational environments.
• Kubernetes certifications such as CKAD or CKA are a welcome indication of structured Kubernetes knowledge.
• Exposure to functional programming languages such as Erlang, Elixir or OCaml.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Senior Software Engineer – Platform Runtime London (Hybrid) | Engineering | Full Time

The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. As the platform scales to meet the demands of world class engineering teams, we are investing heavily in the runtime layer that underpins all workload scheduling, lifecycle management and compute orchestration.

We are looking for a Senior Software Engineer to join our Platform Runtime team. This role sits at the heart of how we extend Kubernetes to support the complex, long running and resource intensive workloads that PhysicsX customers depend on. You will own the design and delivery of Kubernetes Operators and runtime components that define how our platform provisions, manages and recovers workloads at scale.

This is a deeply technical, hands on engineering role. You will work closely with Platform SRE, Data Integration and product teams to define runtime contracts, surface observability and ensure the platform is reliable, extensible and operable in production.

• Design, build and operate production grade Kubernetes Operators that manage the full lifecycle of PhysicsX workloads, including provisioning, scaling, health management and graceful termination.
• Own the runtime architecture across multi cloud and on premises environments, ensuring consistent behaviour regardless of where compute runs.
• Drive the adoption and evolution of service mesh capabilities using Istio, including traffic management, mutual TLS and observability integration.
• Design and implement virtual cluster strategies using vCluster or equivalent tooling to support multi tenancy and workload isolation at the runtime layer.
• Collaborate with platform and infrastructure teams to define and maintain clear runtime interfaces and contracts.
• Establish and own reliability practices for runtime components, including SLOs, alerting and incident playbooks.
• Mentor engineers across the platform organisation and contribute to engineering standards, design reviews and technical direction.
• Evaluate and integrate upstream Kubernetes ecosystem tooling, contributing back where appropriate.

What You Bring to the Table

• Kubernetes Operator experience – you have designed, built and operated at least one production Kubernetes Operator. This is a firm requirement for the role.
• Golang expertise – 3 or more years of professional Golang development. You write idiomatic, testable and maintainable Go and are comfortable leading code reviews and establishing patterns.
• Deep Kubernetes knowledge – you understand the Kubernetes API machinery, reconciliation loops, controller runtime, admission webhooks and custom resource definitions inside out.
• Service mesh experience – hands on experience with Istio in a production environment, covering traffic shaping, observability, mTLS and policy enforcement.
• Multi tenancy and isolation – experience with vCluster, Capsule or equivalent tooling to provide workload and namespace isolation within shared Kubernetes clusters.
• Distributed systems background – a strong understanding of how to design and troubleshoot distributed systems at scale, including consensus, failure modes and recovery strategies.
• Multi cloud and on premises – experience operating Kubernetes across multiple cloud providers and on premises infrastructure, with an appreciation of the differences in networking, storage and permission management.
• Software engineering foundations – you are comfortable writing production code and are expected to do so regularly.
• Platform engineering mindset – you think in terms of internal products, developer experience and long term maintainability, not just delivery.
• AI infrastructure tools familiarity - You are familiar and/or have professional experience with software suites typically used to manage data and pipelines at scale, such as Kubeflow, Kedro, Kubetorch among others.

Ideally

• Experience contributing to open source Kubernetes projects or the wider CNCF ecosystem.
• Exposure to GPU workload scheduling or accelerated compute environments.
• Experience with Terraform and/or Crossplane for infrastructure provisioning.
• Background in simulation, ML platform engineering or HPC environments.
• Kubernetes certifications such as CKA, CKAD or CKS are a welcome signal of structured knowledge.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is building a new category of engineering software — one where physics AI models don't just augment existing workflows, but fundamentally redefine what's possible in design and operations. Our Product team is expanding a portfolio of Engineering Applications that bring this capability directly to the engineers, scientists, and operators who need it most. If you're excited by the challenge of turning cutting-edge AI and simulation research into tools that change how the world's most complex engineering problems get solved, this is the team to do it with.

You'll join the Forward Deployed Applications team, a group that sits at the intersection of product development and customer delivery. Your primary mission is to work closely with customers on real engineering problems — and to turn what you learn into generalised, reusable product capabilities that raise the ceiling for every PhysicsX user. This isn't a traditional customer-facing role or a pure product role: it's the feedback loop that keeps our product grounded in genuine engineering value. You'll work alongside simulation engineers, data scientists, ML engineers, and backend developers, with significant autonomy in how you approach problems, and a direct line of influence over the direction of our growing application suite.

What you will do

• You'll spend meaningful time in conversations — with users unpacking real engineering workflows, with Delivery teams translating those needs into concrete requirements, and with the Product team debating which patterns are worth generalising. Expect to be a connector as much as a builder, and to develop a strong instinct for which customer insights have product-wide implications.
• You'll be expected to bring both rigour and initiative: writing clean, well-considered code, contributing to architecture decisions, and pushing back constructively when a bespoke solution risks diverging from the product vision. This team operates with a high degree of autonomy, and the expectation is that you use it thoughtfully.
• On any given day you might be designing a 3D visualisation that makes a fluid dynamics simulation instantly legible to a non-specialist, building a React interface that surfaces AI model outputs in a live operational context, or refactoring a one-off delivery prototype into something the whole platform can build on. The problems are genuinely novel, and the solutions you build here will define what engineering software looks like next.
• Serve as an effective development lead and mentor across multiple levels of engineering seniority, drive adoption of best practices, and facilitate complex technical discussions and decisions with clarity and decisiveness.
• Build consensus around technical decisions, present solutions effectively to leadership, actively contribute to Technical Decision Records and Technology Radar reviews, and commit fully to group decisions even when they differ from your own recommendations.
• Maintain broad technical knowledge while deepening your specialisation, adapt quickly to new teams, identify emerging technologies and trends, and exemplify accountability by balancing competing priorities and expressing them as well-defined trade-offs.
• Drive requirements definition for large features, allocate work to junior engineers, present detailed technical decision records with trade-off analyses, and contribute to your team's development, testing, and security standards through automation and compliance validation.
• Design multi-service systems that account for operational cost, performance, and reliability requirements, implement zero-downtime deployment strategies, define SLAs and quality-of-service metrics, and build proactive monitoring and alerting that scales effectively.

What you bring to the table

• Publish quality-of-service metrics and reliability guarantees, and effectively leverage caching and memoisation strategies to optimise service performance in collaboration with frontend engineers.
• Develop automated testing strategies to ensure compliance with established standards for API schemas, messaging, and data segregation and access control at the service level.
• Manage observability metric cardinality to optimise cost and performance, and develop schema drift mitigation strategies that minimise impact to dependent clients.
• Contribute to the design of composable frontend architectures, component systems, and advanced state management patterns, while driving adoption of type-safe practices through shared type libraries and developer coaching.
• Optimise layout calculation, paint, and JavaScript execution in the browser, design effective caching strategies, integrate real-time technologies such as WebSockets and SSE, and collaborate with backend engineers on end-to-end performance improvements.
• Work effectively with designers to navigate browser constraints around layout and typography, and collaborate with backend engineers on security risk mitigation and performance optimisation strategies.

Ideally

• Confidence working across the full stack — you're at home reasoning about frontend architecture in React and TypeScript as well as backend design in Python, and you understand the tradeoffs in both well enough to make and defend pragmatic decisions.
• Experience building on top of large, established codebases — you know how to move deliberately, contribute incrementally, and improve things without breaking them.
• A track record of delivering in customer-facing or time-pressured environments, with the judgement to know when to ship something fit for purpose now and when to push back in the interest of a more durable solution.
• The instinct to treat customer engagements as a source of product insight — you naturally ask why a workflow exists, not just how to support it, and you channel that curiosity into constructive, well-reasoned feedback to product teams.
• Familiarity with 2D and 3D data visualisation and the ability to make complex simulation or model outputs legible and useful to non-specialist users.
• An agile, collaborative working style — you engage seriously with code review, testing, and CI/CD, and you're as invested in the quality of your team's output as your own

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Senior Software Engineer – SRE Core Infra London (Hybrid) | Engineering | Full Time

The Role

PhysicsX is growing rapidly and so is the infrastructure that underpins our platform. We are building core infrastructure that is reliable, secure, scalable and reproducible across multiple cloud providers and on premises environments. As the platform evolves to serve increasingly complex engineering workloads, the foundational infrastructure layer becomes ever more critical.

We are looking for a Senior Software Engineer to join our Platform SRE Core Infrastructure team. This role is responsible for the design, provisioning and operation of the shared infrastructure that the entire PhysicsX platform depends on. You will work across infrastructure as code, Kubernetes cluster management, secrets management, GPU drivers, networking and multi tenancy architecture to ensure the platform is dependable, scalable and secure.

This is a role for an engineer who combines deep infrastructure expertise with a reliability engineering mindset and an appreciation for the developer experience of the teams that consume the platform.

What You Will Do

• Own the design and delivery of core infrastructure across multi cloud providers (AWS, GCP, Azure) and on premises environments using Terraform and Crossplane.
• Architect and operate Kubernetes clusters supporting both single tenant and multi tenant workloads, with a strong emphasis on isolation, performance and reliability.
• Define and implement infrastructure provisioning patterns using Crossplane compositions and Terraform modules, ensuring reproducibility and auditability across environments.
• Design and operate secrets management solutions, including dynamic secret provisioning, rotation and fine grained access control integrated with cluster identity.
• Manage and maintain GPU driver configurations and accelerated compute node pools, ensuring compatibility and performance for AI and simulation workloads.
• Own cluster networking design including CNI selection, Istio service mesh integration, ingress strategy and cross cluster connectivity.
• Implement and maintain vCluster based multi tenancy to provide strong workload isolation within shared infrastructure.
• Develop lightweight Kubernetes Operators or controllers where automation of infrastructure lifecycle tasks requires it.
• Establish SLOs and reliability targets for core infrastructure components and lead the response to production incidents.
• Partner with security and platform teams to enforce infrastructure governance, network policies and compliance controls.
• Contribute to and uphold engineering standards across the platform organisation.

What You Bring to the Table

• Kubernetes depth – 5 or more years of professional experience operating Kubernetes in production. You have a thorough understanding of cluster architecture, the scheduler, networking, storage and the API lifecycle. Kubernetes certifications such as CKAD, CKA or CKS are highly desirable.
• Crossplane expertise – significant hands on experience designing and operating Crossplane compositions, providers and managed resources in production environments.
• Terraform proficiency – strong experience authoring, structuring and operating Terraform at scale, including state management, module design and CI integration.
• Multi cloud and on premises – practical experience operating infrastructure across more than one cloud provider and on premises environments, with an understanding of the differences in identity, networking and storage.
• Multi tenancy architecture – experience designing and implementing both single tenant and multi tenant Kubernetes architectures, with strong views on isolation, resource governance and operational overhead.
• Secrets management – experience with tools such as Vault, External Secrets Operator or cloud native secret stores, including dynamic provisioning and rotation.
• Networking – solid knowledge of Kubernetes networking, CNI plugins, Istio service mesh and ingress patterns. Experience with cross cluster or hybrid connectivity is valuable.
• vCluster and virtual clusters – experience using vCluster or similar tooling to provide lightweight, isolated Kubernetes environments within shared clusters.
• GPU and accelerated compute – familiarity with GPU driver management, device plugins and the operational considerations of running accelerated workloads in Kubernetes.
• Kubernetes Operators – at least lightweight experience writing or extending Kubernetes Operators or controllers, ideally in Golang or Python.
• Software engineering capability – you are comfortable writing code to automate and extend infrastructure. Python and Golang are the primary languages used across the platform. Exposure to functional programming languages such as Erlang, Elixir or OCaml is appreciated.
• Platform engineering mindset – you think about infrastructure as a product consumed by engineering teams and prioritise usability, documentation and long term maintainability.
• Distributed systems experience – a solid grounding in distributed systems concepts, including failure modes, consistency and the operational challenges of running systems at scale.

Ideally

• Experience with GitOps workflows using tools such as Argo CD or Flux.
• Contributions to open source infrastructure or Kubernetes ecosystem projects.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.

The Role

PhysicsX is building a new category of engineering software — one where physics AI models don't just augment existing workflows, but fundamentally redefine what's possible in design and operations. Our Product team is expanding a portfolio of Engineering Applications that bring this capability directly to the engineers, scientists, and operators who need it most. If you're excited by the challenge of turning cutting-edge AI and simulation research into tools that change how the world's most complex engineering problems get solved, this is the team to do it with.

You'll join the Forward Deployed Applications team, a group that sits at the intersection of product development and customer delivery. Your primary mission is to work closely with customers on real engineering problems — and to turn what you learn into generalised, reusable product capabilities that raise the ceiling for every PhysicsX user. This isn't a traditional customer-facing role or a pure product role: it's the feedback loop that keeps our product grounded in genuine engineering value. You'll work alongside simulation engineers, data scientists, ML engineers, and backend developers, with significant autonomy in how you approach problems, and a direct line of influence over the direction of our growing application suite.

What you will do

• You'll spend meaningful time in conversations — with users unpacking real engineering workflows, with Delivery teams translating those needs into concrete requirements, and with the Product team debating which patterns are worth generalising. Expect to be a connector as much as a builder, and to develop a strong instinct for which customer insights have product-wide implications.
• You'll be expected to bring both rigour and initiative: writing clean, well-considered code, contributing to architecture decisions, and pushing back constructively when a bespoke solution risks diverging from the product vision. This team operates with a high degree of autonomy, and the expectation is that you use it thoughtfully.
• On any given day you might be designing a 3D visualisation that makes a fluid dynamics simulation instantly legible to a non-specialist, building a React interface that surfaces AI model outputs in a live operational context, or refactoring a one-off delivery prototype into something the whole platform can build on. The problems are genuinely novel, and the solutions you build here will define what engineering software looks like next.
• Contribute to a positive team culture through active participation, clear communication of progress and blockers, constructive code reviews, mentoring of junior engineers, and effective cross-functional collaboration with technical and non-technical stakeholders.
• Demonstrate a strong commitment to continuous development by seeking feedback, staying current with technology trends, sharing knowledge through guilds and documentation, and building expertise across multiple technical areas.
• Take initiative in breaking down complex problems, evaluating trade-offs, documenting technical decisions, and strategically addressing technical debt while balancing short-term delivery with long-term vision and business context.
• Write clean, maintainable code following established standards, implement comprehensive testing strategies across the test pyramid, apply secure coding practices and stay current with security threats, and build and maintain CI/CD pipelines and deployment processes with confidence.
• Gather requirements and collaborate with stakeholders to define scope, design systems and interfaces that balance functional and non-functional requirements, document technical decisions clearly, and identify and resolve performance bottlenecks through profiling and optimisation.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site

What you bring to the table

• Effectively leverage HTTP frameworks and concurrency primitives, contribute to service interface design using patterns such as Protobuf and OpenAPI, develop composable client libraries with code-generation tooling, and ensure service availability through throttling, rate-limiting, and standard resilience techniques.
• Write clear and effective SQL with an understanding of database implementation trade-offs, leverage caching, memoisation, and messaging systems such as AMQP or NATS, and understand service discovery, schema drift mitigation, and the principles of 12-factor apps.
• Create API tests using mock services, contribute to service documentation, understand authentication flows and middleware patterns, and contrast architectural approaches such as REST, RPC, gRPC, and GraphQL to make informed design decisions.
• Build responsive web applications using modern frameworks such as React, Vue, or Angular, effectively translate graphic designs to web interfaces with semantic HTML, and develop reusable UI components that maintain design system consistency with a strong understanding of UX practices.
• Write clean type annotations and leverage generics to add type safety across API responses and external data, manage client-server state synchronisation with optimistic updates, and effectively use frontend build tools and bundlers such as Webpack, Vite, or Rollup.
• Understand the browser rendering model and JavaScript execution to identify and resolve performance bottlenecks, leverage HTTP methods, caching headers, CORS, and status codes effectively, and implement security mitigations for CSRF, XSS, and authentication using cookies and local storage.

Ideally

• Confidence working across the full stack — you're at home reasoning about frontend architecture in React and TypeScript as well as backend design in Python, and you understand the tradeoffs in both well enough to make and defend pragmatic decisions.
• Experience building on top of large, established codebases — you know how to move deliberately, contribute incrementally, and improve things without breaking them.
• A track record of delivering in customer-facing or time-pressured environments, with the judgement to know when to ship something fit for purpose now and when to push back in the interest of a more durable solution.
• The instinct to treat customer engagements as a source of product insight — you naturally ask why a workflow exists, not just how to support it, and you channel that curiosity into constructive, well-reasoned feedback to product teams.
• Familiarity with 2D and 3D data visualisation and the ability to make complex simulation or model outputs legible and useful to non-specialist users.
• An agile, collaborative working style — you engage seriously with code review, testing, and CI/CD, and you're as invested in the quality of your team's output as your own

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Mission

We’re looking for an enthusiastic and opinionated Principal AI Engineer to define how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to architect the Agentic stack within this wider ecosystem. You will build a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.

• You will set the strategic direction for our platform's critical infrastructure and lead key implementation efforts.
• You are someone with the scar tissue of running agents in production.
• You have strong, reasoned opinions on emerging open standards (such as MCP, A2A, and ACP) and deep expertise in complex architectural patterns like durable execution and agent memory.
• You are passionate about building a world-class developer experience that transforms complex research into robust, deployed engineering solutions.

Core Responsibilities

You will serve as the principal architect for our Agentic ecosystem, responsible for the high-level design choices that define how agents run at PhysicsX. You will cover topics such as:

• Agent Observability: Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle.
• Agent Deployment: Deliver an intuitive deployment lifecycle which simplifies questions around auth, discoverability and resource requirements.
• Agent Sandboxing: Architect secure environments to isolate and allow agents to operate safely.
• Agent Evals: Implement a stack that empowers domain experts to efficiently annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets.
• Agent Governance: Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment.

The Tech Stack

• Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.
• Agentic Infrastructure: LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).
• Observability & Evals: OTel, LangSmith, Arize, Braintrust.

Who You Are

• An Architect at Heart: You have strong, reasoned opinions on Durable Execution vs. Standard Async, Vector Search vs. Keyword Search, and Prompt Management strategies.
• Platform-First: You care deeply about the Developer Experience (DevEx) of the Customers, FDEs consuming your platform. You build tools that make the "right way" the "easy way."
• Security-Minded: You understand the risks of allowing LLMs to execute code and access data, and you know how to mitigate them via rigid sandboxing and permissioning.

Qualifications

• Platform & Backend Foundations:
  • 4+ years of experience in Platform Engineering, Backend, or SRE.
  • Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
• Agentic & AI Engineering:
  • Production experience designing Agentic architectures (chains, tools, memory).
  • Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
  • Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.

Bonus Points

• Background in Engineering workflows or simulation platforms.
• Experience building internal developer platforms (IDPs).

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale.

Team Context

In this role, you will be vertically embedded in Research, working daily with:

• Research Scientists who determine the model architectures and methods
• ML Engineers who implement and develop the models
• Simulation Data Engineers who are accountable for upstream data pipelines

You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably.

Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company.

What you will do

Training Infrastructure

• Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform.
• Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization.
• Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance.

Data I/O and Performance

• Solve data loading bottlenecks for large-scale mesh datasets.
• Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization.
• Work with heterogeneous data sources of varying formats and resolutions.

Model Serving and Deployment

• Build serving infrastructure for pre-trained LPMs, supporting both zero-shot inference and uncertainty quantification (Monte Carlo Dropout).
• Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine-tuning capabilities.
• Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour.

Platform and Tooling

• Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools.
• Collaborate with the broader Infrastructure team on shared patterns and standards.

What you bring to the table

• Ability to scope and effectively deliver projects, prioritising activity as needed.
• Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations.
• 5+ years of experience building and operating ML infrastructure at scale:
  • Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism
  • Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization
  • Production experience with Kubernetes and SLURM for job orchestration on GPU clusters
  • Proficiency in Python and ML frameworks (PyTorch strongly preferred)
  • Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds

Ideally

• Experience with geometric deep learning or neural operators, ****architectures that operate on meshes, point clouds, or graphs
• Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data
• Experience building model serving infrastructure with latency and throughput requirements
• Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana)
• Experience packaging models for deployment into customer environments (containers, model registries, versioning)

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

As a Principal Security Engineer, you will partner closely with engineering teams to design and implement secure development practices, integrate security into our CI/CD pipeline, and lead security and design reviews.

You’ll bring deep expertise in DevSecOps, application security, hands-on experience securing web applications and APIs, and a strong understanding of modern development workflows. This is a unique opportunity to shape the future of our security program while working in a high-ownership, high-impact environment.

What you will do

• Architect and integrate security tooling directly into CI/CD pipelines to automate the detection and prevention of vulnerabilities, ensuring "shift-left" security at scale.
• Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.
• Oversee the end-to-end product vulnerability lifecycle, from issue triage, prioritization, remediation support, with clear risk communication.
• Drive secure coding standards, develop playbooks, and provide hand-on training and mentorship to instill a security-first mindset across the organization.
• Design and scale secure development practices by collaborating cross-functionally with engineering teams throughout the entire software lifecycle.
• Engage with customers during security reviews

What you bring to the table

• 10+ years in security, with a focus on DevSecOps and security design reviews
• Hands-on experience with secure coding, OWASP Top 10, threat modeling, and SDLC integration
• Experience with GitHub/GitLab, CI/CD, IaC, and containerized environments
• Experience deploying and working with SAST tooling (e.g. Semgrep, Snyk)
• Experience developing in Python and Go.
• Track record of balancing pragmatism and security rigor in a fast-paced setting
• Strong communication skills

Nice to Have Skills

• Understanding of AI security fundamentals and how application security and AI security intersect
• Experience securing cloud infrastructure
• Participation in bug bounty programs and managing security disclosure
• Familiarity with the BSIMM framework
• Experience in cloud security including identity and access management and cloud-native services.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

UK Benefits:

Equity options; 10% pension employer contribution; 25 days holiday plus public holidays; private health insurance; enhanced parental leave; free lunch onsite

US Benefits:

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position in the USA is from $200,000 to $300,000

The Mission

We’re looking for a hands-on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the advanced workflows that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry.

Core Responsibilities

You will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate.

• You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks.
• You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience.
• Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents.

Core Responsibilities

You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it.

• Be "Customer Zero": Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it.
• Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems.
• Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer.
• Rigorous Evals & Tracing: You don't just ship "vibes." You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time.

The Tech Stack

• Languages: Python (Primary), Go or TypeScript (Secondary).
• Platform tooling: Kubernetes, Docker, Terraform.
• Agentic Infrastructure: Agentic Frameworks, Vector DBs
• Observability: OTel, Agent Tracing / Evaluations tooling

Who You Are

• A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs.
• Strategic & Broad: You don't just solve the problem in front of you; you look for the "generalisable proof-point" that informs the broader platform strategy.
• Empirical: You value systematic measurement over intuition. You believe that if you can't trace it and eval it, you can't ship it.
• Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows.

Qualifications

• 3+ years of experience in Applied AI, ML Engineering, or Software Engineering.
• Proven experience building and deploying AI Agents or complex LLM workflows in production.
• Demonstrated ability to collaborate with Domain Experts to solve complex, domain-specific problems.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Mission

We’re looking for a hands-on Senior AI Platform Engineer to build the foundations of how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to build and scale the Agentic stack within this wider ecosystem. You will implement a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.

• You will own delivery of key workstreams within our platform's critical infrastructure.
• You have practical experience running agents in production and understand the failure modes ("scar tissue").
• You are familiar with emerging open standards (such as MCP, A2A, and ACP) and have experience with patterns like durable execution and agent memory.
• You are passionate about building a world-class developer experience.

Core Responsibilities

You will own key workstreams within our Agentic ecosystem.

• Full-Stack Observability: Implement deep tracing and cost tracking to ensure visibility across the agent lifecycle.
• Deployment Patterns: Build tooling that simplifies auth, discoverability, and resource management for deployed agents.
• Sandboxing Implementation: Implement secure runtime environments that isolate agents and enforce safety policies.
• Systematic Evals: Build the feedback loops that allow domain experts to annotate traces and generate evaluation datasets.
• Enterprise Governance: Apply identity and access controls (RBAC, OIDC) to ensure agents act securely in a multi-tenant environment.

The Tech Stack

• Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.
• Agentic Infrastructure: LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).
• Observability & Evals: OTel, LangSmith, Arize, Braintrust.

Who You Are

• A Systems Builder: You care about code quality, reliability, and maintainability. You prefer boring, working solutions over complex, fragile ones.
• Platform-First: You care deeply about the Developer Experience (DevEx). You build tools that help other engineers move faster.
• Security-Minded: You understand the risks of executing LLM-generated code and implementing proper safeguards.

Qualifications

• Platform & Backend Foundations:
  • 3+ years of experience in Platform Engineering, Backend, or SRE.
  • Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
• Agentic & AI Engineering:
  • Production experience designing Agentic architectures (chains, tools, memory).
  • Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
  • Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.

Bonus Points

• Background in Engineering workflows or simulation platforms.
• Experience building internal developer platforms (IDPs).

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Who We’re Looking For

What you'll do

• Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes.
• Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies.
• Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces.
• Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines.
• Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost.
• Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale.
• Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models.
• Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth.
• Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together.

What we're looking for

Core simulation skills

• Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models
• DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent
• Coupled CFD–DEM workflows for particle–fluid systems
• Heat and mass transfer modelling
• Reacting flows and phase-change processes (advantageous)
• Proficiency in Star-CCM+, OpenFOAM, or Fluent

Engineering and workflow

• 3–5 years post-graduate experience in industry (not research)
• MEng, MSc, or PhD in mechanical, chemical, or process engineering
• Python scripting and simulation automation
• DoE, surrogate modelling, and design space exploration
• Parametric CAD modelling (NX or CATIA advantageous)
• Strong written and verbal communication with technical and non-technical audiences

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

The Senior Simulation Data Engineer will extend and operate the infrastructure that powers our research Data Factory. You will be responsible for the end-to-end pipeline: from geometry preparation and simulation orchestration through validation, post-processing, and delivery to downstream ML training systems, using PhysicsX platform orchestration services where synergies exist.

This role sits at the intersection of HPC engineering and data engineering. You will orchestrate long-running CFD simulations at scale, build robust data pipelines, and ensure that every simulation we produce meets rigorous quality standards.

Team Context

In this role, you will be vertically embedded in Research , working daily with:

• Research Scientists who define data requirements and quality standards
• ML Engineers who consume Data Factory outputs for model training
• ML Infrastructure Engineers who are accountable for downstream training infrastructure

You will have end-to-end responsibilities over the Data Factory, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably.

Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company.

What you will do

Simulation Orchestration

• Extend and operate the Data Factory infrastructure that orchestrates thousands of CFD simulations per day on cloud compute
• Design and operate job scheduling systems that maximize throughput while handling failures gracefully
• Build monitoring and alerting to detect simulation failures, convergence issues, and resource bottlenecks early

Data Pipeline Engineering

• Build high-performance data pipelines that move simulation outputs from solver results to ML-ready training data
• Implement geometry preprocessing workflows (mesh preparation, morphing, watertightness validation)
• Design and operate post-processing pipelines: surface decimation, field interpolation, format conversion
• Optimize I/O performance for large mesh datasets

Data Quality and Validation

• Implement comprehensive validation checks at every pipeline stage: solver convergence, physical field bounds, post-processing fidelity
• Build systems that capture and quarantine bad data before they reach training pipelines
• Track and report data quality metrics across the entire Data Factory
• Work towards full provenance: training samples should be traceable back to their source geometry and simulation configuration

Integration and Delivery

• Deliver validated datasets to downstream ML training infrastructure in formats optimized for efficient data loading
• Design data versioning and cataloging systems that support reproducible training runs
• Work closely with ML Infrastructure Engineers to ensure smooth handoff between data production and model training
• Support multi-dataset training workflows

What you bring to the table

• Ability to scope and effectively deliver projects, prioritising activity as needed.
• Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations.
• 5+ years of experience in data engineering, HPC engineering, or simulation infrastructure.
  • Strong experience with orchestration systems: SLURM, Kubernetes, Temporal
  • Production data pipeline experience: you've built and operated pipelines that process large volumes of data reliably
  • Proficiency in Python for pipeline development and automation
  • Systems engineering fundamentals: Linux, networking, storage systems, performance debugging
  • Experience with cloud infrastructure; ****ideally CoreWeave or similar GPU/HPC-focused clouds
  • Background in HPC for simulation engineering: experience with CFD, FEA, or similar computational workflows (StarCCM+, OpenFOAM, ANSYS, etc.)
  • Experience with geometry processing: mesh manipulation, CAD formats, PyVista
  • Familiarity with scientific data formats: HDF5, VTK, NetCDF, Zarr
  • Data quality engineering experience: validation frameworks, anomaly detection, data observability

Ideally

• Understanding of CFD fundamentals, enough to interpret solver outputs and validation metrics
• Experience with 3D geometry pipelines (mesh decimation, field interpolation)
• Familiarity with ML data loading patterns and how training systems consume data

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high-fidelity multi-physics simulation through AI inference.

We're looking for a Senior Software Engineer with a strong background in building data platforms. You won't just be moving data from A to B - you'll be architecting and building the distributed systems, services, and APIs that form the backbone of our platform. You'll bridge the gap between complex physical simulations and modern data infrastructure, implementing storage solutions for AI/ML pipelines and creating the analytical layers that allow our engineers to visualise and understand their results.

As a senior engineer, you'll shape technical direction by authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This role is for builders who love coding robust software as much as designing efficient data architectures.

What You Will Do

• Design and architect scalable distributed systems, microservices, and APIs for high-dimensional simulation data across the machine learning lifecycle — from data processing and model training to inference services.
• Build and maintain systems that execute user-submitted code safely, robustly, and securely — including sandboxing, resource isolation, and access controls.
• Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing — powering active learning loops.
• Build interoperable no-code and pro-code tools for enterprise users with varying skill levels.
• Architect and integrate modern Data Warehouses, Data Lakes, and high-performance storage solutions to handle the unique demands of complex simulations, multimodal data and deep learning workloads.
• Build internal tools that enable BI dashboards and scientific data visualizations, making large datasets intuitive and accessible.
• Define system architecture for new capabilities, making trade-offs across performance, reliability, cost, and developer experience.
• Own your work end-to-end — from architectural design through deployment and maintenance in a fast-paced, agile environment.
• Define reliability guarantees, quality of service metrics, and performance standards for the services you own. Proactively diagnose and resolve complex performance bottlenecks.
• Develop and enforce API schema standards and schema drift mitigation strategies. Ensure compliance with established patterns for security, data segregation, and access control.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records. Participate in Technology Radar reviews to evaluate and adopt new tools and approaches.
• Mentor junior and mid-level engineers, facilitate technical discussions, build consensus around architectural decisions, and translate research needs into well-defined technical requirements.
• Influence engineering roadmap and contribute to technical strategy beyond your immediate team.

What you bring to the table

• A passion for the craft — you're driven by engineering excellence and committed to fostering that culture across the team.
• Strong software engineering foundations — solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang or Rust and Python.
• Distributed systems and data engineering experience — proven track record building big data processing platforms in production, moving beyond scripting to robust engineering solutions (e.g., Databricks/Delta Lake, Snowflake, BigQuery). Hands-on experience architecting Data Warehouses and Data Lakes.
• API and service design maturity — experience designing multi-service systems with attention to schema governance, forward compatibility, and data access patterns.
• User code execution — experience building systems that run user code safely, robustly, and securely, with an understanding of sandboxing, isolation, and threat models.
• Multimodal data handling — experience working with storage engines or databases that handle diverse data types, including relational data, vector embeddings, and large binary blobs.
• Security awareness — familiarity with designing for security requirements and participating in security testing and compliance workflows.
• Reliability and observability mindset — experience providing QoS guarantees, implementing monitoring and alerting, and optimising observability in production.
• CI/CD and deployment expertise — hands-on experience building and optimising CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments.
• Diagnostic and optimisation skills — proactive approach to diagnosing performance bottlenecks in data processing and storage systems.
• Communication and leadership — excellent communication skills to understand data needs from research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.
• Incremental mindset — you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture.

Ideally

• Polyglot programming — deep expertise in Python and mastery of high-performance compiled languages like Golang, C++, or Rust.
• Big data scale — experience designing and maintaining big data systems, with a track record of running complex analytics on massive datasets in production.
• Domain knowledge — understanding of 3D geometry processing (meshes, point clouds) and data structures used in physics-based simulations.
• Advanced testing — experience with fuzzing, deterministic simulation testing, or fault injection in production systems.
• Kubernetes expertise — ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, ArgoCD, Helm charts).
• Infrastructure flexibility — understanding of what it takes to build software that runs in cloud, on-premises, and air-gapped environments.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale and drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation for all engineering (infrastructure and product teams, alike). 

We’re looking for a generalist with a strong grasp of Computer Science fundamentals. The ideal candidate will have experience building and running complex large scale services. Additionally, they will have a passion for building tools that simplify operating large-scale infrastructure and for improving the operational maturity of Figma.

What you'll do at Figma:

• Work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance 
• Address common operational challenges through better telemetry and by building tools / services
• Debug production issues across services and levels of the stack
• Participate in design reviews and production reviews for new features, products or infrastructure components
• Plan for the growth of Figma’s infrastructure
• Operate and maintain AWS Infrastructure

We’d love to hear from you if you have:

• Have 5+ years of experience operating infrastructure components / services at scale. You have a proven grasp of Computer Science fundamentals and have a strong interest in distributed systems
• Have experience managing infrastructure services in AWS, Microsoft Azure or Google Cloud
• Demonstrated unwavering commitment to operational security and best practices
• Have a track record for being able to diagnose problems within complex systems

While it’s not required, it’s an added plus if you also have:

• Have excellent problem solving skills and technical communication skills. You use a systematic and thorough approach. You think from first principles and have a bias for action. Are driven by impact. You are willing to work on grungy problems if they have a high impact on the business or the health of the infrastructure
• Care deeply about the quality of the software / systems you build. You have an artisan mentality and are always looking to improve your craft. At the same time you are able to strike the right balance between idealism and pragmatism
• Finally, Figma is a close-knit company with a strong culture that promotes inclusivity and collaboration, taking ambitious goals and having fun doing so. You deeply value these traits and see yourself actively contributing to it

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Does driving innovation and creating better experiences through technology inspire you?

At Re-Leased, we’re levelling up real estate and helping property professionals thrive in a digital-first world. Our cloud-based property management platform combines smart automation, AI-driven insights, and deep industry expertise to make everyday work simpler and more rewarding. We’re here to help property people run better businesses, build stronger communities, and love what they do. 

Your Role   

We are seeking a Technical Account Manager (TAM) to act as a trusted advisor to prospects and customers throughout the pre-sales and post-sales lifecycle. You will serve as a technical liaison between Sales, Solutions, Product, and Support, providing guidance on platform capabilities, accounting system integrations, and implementation best practices. 

This role is ideal for someone who thrives at the intersection of technology, real estate, and finance. If you have experience with property management systems and accounting integrations, and enjoy helping clients unlock value from software, we want to hear from you. 

Your Responsibilities

• Partner with Sales Executives as the technical expert in customer-facing presentations.
• Deliver product demos tailored to specific client needs, with a focus on accounting and API integrations. 
• Provide technical insights on integrations with Microsoft Business Central, Xero, QuickBooks Online, Intuit Enterprise Suite, Sage Intacct, NetSuite, and other future supported accounting platforms. 
• Support RFPs, RFIs, and proof-of-concept engagements by clarifying architecture, capabilities, and configurations. 
• Lead technical onboarding and platform configuration in collaboration with Implementation Consultants and Project Managers.
• Provide hands-on support during the integration of third-party accounting platforms.
• Troubleshoot technical and integration issues, working cross-functionally with Product and Engineering as needed.
• Act as a technical champion and escalation point during critical post-sale phases.
• Maintain strong, long-term relationships with key accounts to ensure successful adoption and satisfaction.
• Collaborate with Customer Success Managers to deliver a seamless client experience post-implementation.
• Provide internal teams with feedback from the field to help shape product direction and feature prioritization.
• Assist in developing technical documentation, onboarding materials, and solution guides. 

Your Experience   

• 3+ years in a Technical Account Manager, Solutions Engineer, Implementation Consultant, or similar client-facing role at a SaaS company.
• Familiarity with accounting systems such as NetSuite, QuickBooks Online, Sage Intacct, Microsoft Business Central, and Xero—particularly around integrations and workflows.
• Experience working with real estate property management software or clients is highly desirable.
• Understanding of APIs, data mapping, webhooks, and common integration protocols (REST, JSON, etc.).
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Customer-focused mindset with excellent troubleshooting and problem-solving skills.
• Self-starter with the ability to manage multiple projects and priorities in a fast-paced environment. 

Our culture is very important to us too, and we strongly believe in living out our core values:    

• People First: One team globally; our people and customers always come first.  
• Find a Way: Like a river, we find a way around all obstacles   
• Win or Learn: Our journey for improvement never ends; enjoy the ride!  
• Aim High: We dare to set big goals and love the challenge of achieving them against the odds. 

Why you’ll love working here!

Taking care of you: Including comprehensive health insurance, access to a premium EAP service and an annual wellness allowance to spend on what helps you feel good - whether that’s towards a gym membership, new running shoes, or mindfulness apps. 

Support for families: Generous paid parental leave and flexible, family-friendly support designed to help growing families balance work and life with confidence. 

Recognition for tenure and milestones: We celebrate time, commitment, and contribution with milestone rewards and additional leave as you grow your career with us. 

Flexible working, built for a global team: With customers and teammates across New Zealand, Australia, the United Kingdom, and North America, we work in a hybrid, remote-friendly way with collaborative offices and the flexibility of a balanced approach to WFH/in-office work.  

Ready to Level Up? 

Join us and help shape the future of real estate at one of the most exciting SaaS companies born from New Zealand.

www.re-leased.com 

As Senior Solution Engineer, you lead the coordination and execution of onboarding initiatives for strategic platforms globally, driving efficient launches and accelerated time-to-revenue.

You ensure that all internal workstreams (Account Ownership, Compliance, Product, Engineering, and Operations) are aligned, accountable, and completed before go-live.

You provide structured oversight and visibility across onboarding readiness criteria to ensure platforms, whether newly onboarded or expanding into new markets, go live efficiently, compliantly, and without operational risk.

This role sits at the intersection of Revenue, Compliance, Product, Engineering, and Operations, ensuring predictable launches, optimizing time-to-market, and enabling scalable platform onboarding across regions.

What You’ll Do

Solutioning Participation & Advisory

• Participate in discussions with platform’ project owners and technical stakeholders to ensure proposed solutions align with platform capabilities and implementation realities.
• Provide technical and operational input to support scalable and compliant implementations.
• Identify potential technical, operational, or regulatory risks early and ensure a smooth transition from solutioning to onboarding and implementation.

Onboarding Orchestration

• Act as the central coordination point for platform onboarding and expansion initiatives.
• Lead cross-functional alignment across Sales, Compliance, Product, Engineering and Operations to ensure successful platform launches.
• Maintain visibility across technical integration, regulatory validation, operational setup, and partner readiness.
• Track onboarding milestones and proactively manage cross-functional dependencies.
• Identify risks, gaps, or blockers early and drive resolution with the relevant stakeholders.

Integration & Technical Readiness

• Work directly with partner engineering teams to support technical onboarding and platform integration.
• Ensure integration architecture and implementation align with platform capabilities and best practices.
• Review integration progress and validate technical readiness prior to launch.
• Identify technical constraints or risks early and coordinate with Product and Engineering teams when needed.

Go-Live Readiness

• Establish and manage structured go-live readiness checklists.
• Validate that all required approvals (compliance validation, operational controls, and technical readiness) are completed prior to activation.
• Ensure operational processes are defined before launch.

Transition to Run Phase

• Ensure structured handover to Support and Operations teams with full documentation and context.
• Confirm that platform teams understand operational processes, support channels, and escalation paths.
• Monitor early-life platform performance to mitigate post-launch instability.

Continuous Improvement

• Identify onboarding and expansion friction points and drive cross-functional process improvements.
• Improve onboarding documentation and enablement materials.
• Define and monitor key onboarding KPIs such as: time-to-revenue, onboarding cycle times, go-live predictability, post-launch satisfaction and performance.
• Collaborate with Product and Operations teams to anticipate operational impacts from roadmap or regulatory changes.

Who You Are

• 10+ years of experience in onboarding, implementation management, program management within a PSP, Fintech, or regulated SaaS environment.
• Proven experience coordinating complex, cross-functional launches involving Sales, Compliance, Technical, Product, and Support teams.
• Strong understanding of payment operations and regulatory workflows (KYC/KYB, safeguarding, go-live controls).
• Comfortable owning timelines, driving accountability across teams, and managing launch readiness decisions.
• Data-oriented, with experience tracking KPIs such as time-to-revenue, phase cycle times, and post-launch CSAT.
• Clear communicator able to align operational teams and senior stakeholders around priorities and risk mitigation.
• Structured and pragmatic, with the ability to balance speed, compliance, and operational risk.

Additional information

Interview process:

• HR call
• Interview with VP
• Interview with SE team members
• Case study (if applicable)
• Call with Chief Commercial Officer