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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a skilled Azure Security Engineer to design, implement, and maintain robust security controls across our Azure Gov Cloud environment (including hybrid and multi-cloud scenarios). In this hands-on role, you will build, strengthen, and maintain our cloud security posture, protect critical workloads, and collaborate with engineering, DevOps, and compliance teams to embed security throughout the development lifecycle. You will develop, implement, and leverage Microsoft’s native security tools to detect threats, respond to incidents, and ensure alignment with industry standards and regulations. Lastly, you will be required to both achieve and maintain compliance with government regulations such as FedRAMP and CMMC.  RESPONSIBILITIES: * Implement, design, and manage security architecture for Azure Government and Commercial deployments (with considerations for DoD IL5\IL6 and FedRAMP High controls) * Configure and optimize Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, and related services for threat detection, vulnerability management, and automated response   * Design and enforce identity & access management using Microsoft Entra ID, Privileged Identity Management (PIM), Conditional Access policies, RBAC, and just-in-time access   * Secure network architectures with Azure Firewall, Network Security Groups (NSGs), DDoS Protection, Web Application Firewall (WAF), Network Watcher, and private endpoints   * Protect data at rest and in transit via Azure Key Vault, encryption strategies, data classification, and information protection controls   * Develop and maintain security policies, initiatives, and blueprints using Azure Policy and Microsoft Purview for compliance (NIST, FedRAMP, CMMC, STIGs, etc.)   * Perform threat hunting, incident response, and forensics using Sentinel playbooks, Log Analytics, and KQL queries   * Conduct security reviews of Infrastructure as Code (IaC), containers, Kubernetes (AKS), and serverless workloads   * Collaborate with developers and architects to implement DevSecOps practices, including secure CI/CD pipelines, code scanning, and secure defaults   * Monitor and remediate security findings, reduce attack surface, and improve overall security posture per the Microsoft Cloud Security Benchmark (MCSB)  * Deploy configurations and compliance policies to Azure AVD endpoints using Intune and other Azure native services.  BASIC QUALIFICATIONS: * Active U.S. security clearance (e.g., Secret, Top Secret) or eligibility to obtain one.  * 3+ years of experience in cloud security, cybersecurity engineering, or related roles (with strong Azure focus)   * Deep hands-on expertise with core Azure security services: Microsoft Defender suite, Sentinel, Intune, Entra ID, Key Vault, Azure Policy, Firewall, Network Watcher, and Purview   * Strong understanding of DLP implementation both in cloud and on endpoints utilizing Purview and other Microsoft native controls * Experience implementing security in hybrid/multi-cloud environments   * Proficiency in scripting/automation (PowerShell, Azure CLI, Bicep/ARM templates, Terraform)   * Strong understanding of identity federation, zero-trust principles, encryption, network security, and vulnerability management   * Familiarity with compliance frameworks (NIST, FedRAMP, CMMC, STIGs, etc.) and regulatory requirements   * Excellent problem-solving, analytical, and communication skills * Strong verbal and written communication skills and the ability to stay composed under pressure. PREFERRED SKILLS AND EXPERIENCE: * Microsoft Certified: Azure Security Engineer Associate (AZ-500), Microsoft Cybersecurity Architect (SC-100) * Additional relevant certifications (e.g., CISSP, CCSP, Microsoft Certified: Azure Administrator, AWS Security Specialty, SANS GCPS, SANS GCAD)   * Deep experience with detection and response engineering and SOC operations * Knowledge of container security (Docker, AKS), secure DevOps, or AI/ML workload protection   * Prior experience in government regulations frameworks such as FedRAMP and CMMC.  COMPENSATION AND BENEFITS: $100,000 - $258,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: * To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today

Summary of the Role: As Security Research Lead at Maze, your research directly shapes our products and how our AI understands real risk. This is a unique opportunity to join a well-funded Series A startup building at the intersection of generative AI and cybersecurity, leading the research function that makes our products sharper than anything else on the market — and gives Maze a credible technical voice in the security community. You'll set the bar for our vulnerability research: defining the methodologies that separate critical risk from noise, validating and contextualising the threats our AI surfaces, and feeding that expertise straight into product and engineering to improve how we detect, prioritise, and remediate. You'll work hand-in-hand with our AI/ML, product, and engineering teams — close to the roadmap and the code, not off to one side — turning what you find into capabilities that crush the competition. Alongside that, you'll amplify the work externally: surfacing novel vulnerabilities and building research narratives that earn real reach, giving Maze technical credibility with practitioners and customers. This role is perfect for a security researcher with real depth in cloud and application security who is ready to step up: someone who wants their research to ship as product, can lead a small research team, and can tell a story that lands with a technical audience. The ideal candidate has done this inside another security vendor and wants to build both great products and a research brand from a strong foundation. What you'll work on: * Make Our Products Brilliant: Feed research directly into product and engineering — work close to the roadmap and the codebase to sharpen how we detect, prioritise, and remediate, building capabilities that outclass the competition * Shape How Our AI Understands Risk: Translate deep threat research into the labels, signals, and product feedback that train our models to prioritise vulnerabilities like a seasoned researcher * Lead Our Security Research Function: Set the direction, standards, and methodologies for how Maze researches, validates, and prioritises cloud and application security threats, scaling a small team of researchers as we grow * Find Novel Vulnerabilities That Get Reach: Surface original research and build narratives — blog posts, technical talks, podcasts, video, conference presentations — that earn real reach and give Maze technical credibility with the security community * Build Authoritative Technical Intelligence: Produce detailed research on exploitation techniques, attack vectors, and remediation across cloud infrastructure and application security, enriched with CVE, advisory, and threat-intel sources * Set the Standard for Research Quality: Establish the frameworks and review processes that keep our vulnerability assessment consistent, defensible, and ahead of the threat landscape * Grow the Bench: Mentor and develop researchers, raising the technical bar of the team and creating a research culture others want to join What You Need to Be Successful: * Proven Security Research Depth:** 6+ years in hands-on security research, with a strong track record investigating complex vulnerabilities, building proof-of-concepts, and validating real-world threats * Cloud & Application Security Expertise: Deep knowledge of cloud (AWS) and application security vulnerabilities, attack vectors, and how they actually get exploited at scale * Research That Ships as Product: A track record of turning research into product and engineering outcomes — working closely with eng, product, and ML teams to translate findings into shipped capabilities, not reports that sit on a shelf * A Public Track Record: Demonstrated ability to be the voice of security research externally — published research, conference talks, well-received technical content, or a recognised presence in the community * Vendor-Grade Perspective: Direct experience inside a security tooling or research organisation, with a view on what good research operations look like and how to build credibility in market * Technical Investigation Skills: Strong coding and scripting (Python, Go, or similar) for automating research, building validation tooling, and creating PoCs * Communication That Lands: Ability to translate complex security research for technical practitioners, customers, and internal AI/ML and product teams without losing rigour * Leadership Instinct: Experience leading or mentoring researchers, setting standards, and owning a domain end-to-end in a fast-moving environment * Startup Readiness: Comfortable operating with ambiguity and limited structure, prioritising ruthlessly, and building the function as you run it * Nice to haves: * Experience with AI/ML security or working with AI-generated security findings * An established personal brand or following in the security research community * Open-source contributions to security tools or research * Experience setting up or scaling a research/labeling operation * Industry certifications (OSCP, AWS Security, CISSP, etc.) Why Join Us: * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cloud and application security. You'll define how AI understands and prioritises vulnerabilities — and how the market talks about it. * Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups, who have been part of the leadership teams behind multiple acquisitions and an IPO. * Build Products and a Research Brand: A rare chance to build a security research function from a strong foundation where your research ships as product — directly shaping what we build and how Maze is seen in the security community. * Impactful Work: Cybersecurity is a force for good. Your research will directly improve how thousands of organisations understand and respond to threats, scaling expert security knowledge through AI. * Build an AI-native Company: Join early enough to shape everything from the ground up, with significant equity upside and the room to grow into senior security leadership.

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease.  A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: The Associate Director, ERP Functional & Solution Architect, ICT role will be responsible for overseeing MS D365 Enterprise Resource Planning (ERP) within the organization. Crucial role in implementing ERP specific business process improvements and enhancements within the organization and ensuring the system's optimal performance and functionality. Perform the planning, design, configuration, customization, and implementation of MS D365/ERP modules and functionalities, ensuring seamless integration with existing systems, ensuring compliance with industry standards, security protocols, and regulatory requirements. The ERP Functional Architect, Associate Director, ICT role will also serve as a business process analyst aligned with enterprise (i.e., SCM, MFG, Quality) and Corporate Functions (i.e., Finance, HR, Legal, Compliance, Procurement) ensuring successful technical solution development and delivery. Essential Functions: The D365 ERP F&O Functional Architect is responsible for the end-to-end functional design, configuration, and optimization of Microsoft Dynamics 365 Finance & Operations to support business operations across Finance, Procurement, Supply Chain, Manufacturing, Quality, and related business functions. The architect will partner with business stakeholders, technical teams, and implementation partners to ensure that the solution is aligned with corporate strategy, compliant with GxP/GAMP 5 standards (where applicable), and scalable for future business growth. 1. Solution Architecture & Design •    Lead the functional design and architecture of the D365 F&O solution across key modules (Finance, Supply Chain, Manufacturing, Procurement, Inventory, Quality, etc.). •    Translate complex business requirements into clear, scalable, and compliant functional solutions. •    Emphasizes proactive, holistic leadership in solution architecture. •    Focuses on aligning solutions with business goals, value streams, and enterprise architecture governance. •    Define data flows, integrations, and system interactions between D365 and other enterprise systems & interfaces (e.g., LIMS, MES, 3PL Partners, External Finance Systems, and Cloud systems). •    Ensure alignment with Microsoft’s Dynamics 365 roadmap and best practices. 2. Implementation & Configuration •    Perform and lead the setup, configuration, and deployment of D365 F&O modules.  •    End to end management of project/solution management by using tools like Azure Boards for planning and tracking work, Azure Repos for code versioning, and Azure Pipelines for automating build and deployment. Perform all activities from initial user stories and tasks to code, testing, and deployment through integrations with tools like Lifecycle Services (LCS).  •    Drive fit-gap analysis and functional documentation. Develop User/Functional Requirements, Functional/Technical Design, System/Business process architecture diagrams. •    Collaborate with development/vendor/managed service teams to define functional specifications for enhancements, bug/fix, customizations, reports, and interfaces. Co-develop or individually develop code/configurations required and coordinate internal development and user acceptance testing of the solution. •    Participate in system validation activities, including IQ/OQ/PQ documentation for regulated environments. 3. Governance & Compliance •    Ensure the ERP system design complies with GAMP 5, SOX, and GxP regulatory requirements. •    Develop and maintain master data governance, change management, and configuration control processes. •    Support audits and inspections through proper documentation and traceability. •    Develop current and future state roadmaps and architecture. •    Assess and align system release plan with Microsoft Dynamics 365 roadmap 4. Stakeholder Collaboration •    Partner with business process owners to define best practices, continuous improvement opportunities, and confirm desired solution to fix the support/bug-fix items raised. Support communities of practice and collaborative development methodology. •    Work independently to perform required fix within the D365 framework. Test and confirm the developed fix with business process owners.  •    Work closely with IT, OT, and cloud teams to ensure integrated digital architecture. •    Provide subject matter expertise and training for internal business process owners and super users. 5. Project & Vendor Management •    Support ERP implementation and upgrade projects through all phases — initiation, design, testing, go-live, and hypercare. •    Manage and coordinate external implementation partners and vendors. •    Define KPIs and monitor system performance, adoption, and ROI. Requirements: Education  Bachelor’s degree or equivalent experience in computer science, information systems, engineering, supply chain, or related fields required. Microsoft D365 F&O Certification preferred. Experience •    8+ years of experience implementing or supporting Microsoft Dynamics AX / D365 F&O. •    Proven expertise across multiple functional domains (Finance, Manufacturing, Supply Chain, Procurement). •    Experience designing integrations between ERP and external systems (LIMS, MES, Payment interface with Bank, External Finance Systems, etc.). •    Strong understanding of ERP data models, workflows, and reporting. •    Strong understanding of functional and solution architecture of, and experience performing code and configuration updates within the following Dynamics 365 modules: o    Finance: General ledger, Cash and bank management, Accounts payable, Accounts receivable. Budgeting, Fixed assets, Cost accounting, PR/PO process, Vendor Management, Cost Accounting and Management  o    SCM: Inventory management, Master planning, Procurement and sourcing, Product information management, Production control, Warehouse management, Cost accounting, Cost management, Asset management, including scheduled maintenance and repair tasks  Technical Skills •    Proficient in MS Office Suite. Experience with technology delivery applications across solutions such as (ERP, Manufacturing Execution Systems, Finance Systems, Control Tower).  •    Microsoft Certified: Dynamics 365: Finance and Operations Apps Solution Architect Expert certification preferred. •    Experience with emerging technologies (AI/ML, cloud, etc.) as relevant to ERP. Working Conditions: Requires up to 10 % domestic and international travel The anticipated salary for this position will be $165,000 to $190,000.  The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: * 401K with company match * Annual Bonus Program (Sales Bonus for Sales Jobs) * Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days * Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) * HSA & FSA Programs * Well-Being and Work/Life Programs * Life & Disability Insurance * Concierge Services * Long Term Incentive Program (subject to job level and performance) * Pet Insurance * Tuition Assistance * Employee Referral Awards The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law. When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at 510 Carnegie Center Dr. Princeton, NJ 08540 USA and can be contacted by emailing kkus.talentacquisition.8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.  Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment.  Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com. RECRUITMENT & STAFFING AGENCIES Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #LI-TT1 #Hybrid #Princeton

We are looking for great people to join our power trading business, but there's probably a few things you should know first...   We don’t do things the traditional way. Not in trading, not anywhere really. There’s no big hierarchy, no layers of sign-off, no hiding behind process. We’ve built our own tech, we make our own decisions, and we move quickly because we can.   As a company, we are always learning - innovation means constant evolution and change - and as an exciting result, we are looking for experienced team members across the globe with incredible experience in power trading businesses looking for their next move!    Are you an experienced professional with experience in Power Trading businesses looking for a new, exciting and start-up role to develop in?   At Octopus Energy Trading, we’re on a mission to reshape the future of energy. As part of Octopus Energy Group, we’re creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting-edge technology to optimise everything from domestic EV charging to grid-scale batteries, to meet the global demand for energy flexibility. We’re looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system. You might be used to places where trading sits in a box. It doesn’t here. We work closely with the people building the tech, the people talking to customers, the people shaping the future of the business. It means you see more, influence more, and yes, occasionally deal with a bit more chaos too. We’re pretty obsessive. About the market, about the detail, about how things actually work in the real world. We think about the system a lot. A lot, a lot. How energy flows, where it breaks, how it could be better. And then we try to fix it.   Please register your interest in a role with Octopus Energy Trading and let us know what unique experience you could bring!      A bit more about a role in Octopus Energy Trading...   Where do we operate?   Originally focusing on the GB market and now expanding into Europe and Asia, we are now looking to take our experience to new countries so would love to here from you, wherever you are in the world!      What do we look for?   We’re looking for people with awesome experience in the power trading world, someone who can talk through the numbers, the risk, the strategy.  But actually, what really matters is how you think.   You’re curious. You don’t just accept how things are done. You’ll question it, pull it apart, rebuild it better. You’re a grafter, but a smart one. You know where effort matters and where it doesn’t. You won’t spend hours polishing something no one needs. And yes, writing a long meeting agenda might drain you slightly. You take ownership. Proper ownership. Not “that’s not my job”, more “I’ll figure it out”. Because here, you kind of have to.     Our Traders...    Our Traders develop transformational solutions and rapidly implement these to meet the urgent and global need for energy flexibility.    You’ll be responsible for creating value from Power markets, trading the volatility, and managing our exposure. You’ll also work on the high-level trading approach, supporting in the evolving design and improvement of our in-house analytical tools.     Our Data Team...   With an increase in variable and distributed supply, using data for trading and forecasting has never been more important. Octopus has always had a tech-first approach, and our trading and analytics tools are all built in-house.   We look for experts in building data pipelines bringing together internal and external data to create market leading insights using both classical and ML techniques. This includes looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market     Our Battery Team...    Flexible assets - batteries, EVs, heat pumps, and more - are key to the reliable operation of low-carbon grids. Maximising the impact of these assets across electricity markets and grid services requires making thousands of highly complex, data-driven decisions and we have built an incredible team who take ownership of this.      Our Leaders...   Our leaders don’t really look like “leaders” in the traditional sense, which is kind of the point…    They don’t sit at a distance. They’re in it. Close to the detail, close to the work, close to the people actually doing the job. They’ll answer customer emails. They’ll jump into problems.   They don’t measure themselves by team size or org charts. In fact, the opposite. If something can be simpler, smaller, faster, they’ll push for that.   They’re pretty obsessive. About doing the right thing, about making things better, about not letting something slide just because “that’s how it’s always been”.   They don’t hide behind process. If something’s broken, they fix it. If something’s unclear, they make a call.   They give people a lot of trust. And with that comes a lot of responsibility. You won’t be micromanaged, but you also won’t be able to coast.     Team culture and vision are so important to us, here’s what the team has to say…    Celyn Simmonds - “Octopus Energy Trading is a new function within the Octopus Group that is tasked with managing all the Group's short term trading responsibilities. We'll be building a 24 hour shift desk, supported by world class developers, in order to optimise our flex assets (think batteries, EV's, heat pumps..), retail, and renewable energy portfolio, as well as taking speculative positions. We're a small, dedicated function who work fast, dynamically and look out for each other; it's a start-up atmosphere with the benefits of the resources of a larger company.”   Alissa Tripp - “Working in the Octopus trading team has been a fantastic experience - it's a space where innovation and teamwork create tangible impact, and it is a very collaborative environment to operate in. Being part of such a dynamic team has definitely pushed me to grow in ways I hadn't expected.”     This is a speculative posting for now. We’re growing quickly and expect to be hiring in this space across different countries, so tell us where you’re based and we’ll be in touch when the right role comes up

For us, tech has never been about just hardware or software. It’s about people. It’s our meaningful relationships, deep expertise and practical know-how in technology that drive what we do. We put our customers, our partners and the environment at the heart of everything we do and our people are the difference that make the difference. At boxxe, we understand, we collaborate, we simplify, we care and we deliver; together we are making tech human. YOUR MISSION 💪 The Principal Architect plays a key role in driving growth across the Cloud & Infrastructure Practice. We’re looking for a highly technical leader to shape our solutions and services strategy alongside the Practice Director. You’ll act as the technical authority across Professional and Managed Services, guiding technology choices and leading our approach across key vendors. You’ll introduce new technologies, evolve our capabilities, and stay highly visible with internal and external stakeholders. This role is ideal for a senior or lead consultant ready to step away from day‑to‑day delivery and move into a strategic and forward‑looking position. WHAT YOU’LL BE DOING 🎯 * Build and maintain technical relationships with key stakeholders within customers and strategic vendors * Serve as technical authority across Professional Services and Managed Services for post‑sale customer engagements. * Provide senior‑level technical escalation for the PMO and Managed Service operations teams. * Collaborate with Professional and Managed Services leadership to implement new and improve existing service models. * Support the Practice Director on technical strategy and emerging technology adoption. * Taking a leading role in creating and embedding new packaged service offerings. * Build and maintain technical training and certification pathways for technical team skills development. * Undertake knowledge sharing and technical mentoring to aid skills development across technical teams. * Define, maintain, and standardise documentation, operating procedures, and implementation best practices. * Oversee demo and training lab environments for the Practice, support customer demonstrations as needed. * Collaborate with the ‘boxxe Labs’ product team to expand the portfolio of in-house developed software platforms that differentiate us in the market. WHAT EXPERIENCE WE THINK YOU’LL NEED 🚀 * 5+ years’ experience in a senior or lead consultant role, implementing large and complex infrastructure solutions in customer environments * Knowledge of key cloud technologies (cloud services, compute, data, storage, virtualisation,) * Certified to expert level in at least one of Microsoft Azure, VMware, Dell, and/or HPE. * Familiarity with infrastructure-as-code and IT automation tools * Strong organisational skills * Excellent quality of documentation * Exemplary communication skills * Flexibility to travel throughout the UK when needed * Matured commercial awareness * Ability to influence customers, vendors, and colleagues * Familiarity with any AI/ML frameworks, Kubernetes, or other cloud services (AWS, GCP etc.) is a benefit     >  As an equal opportunity employer, we are committed to building a team that represents a variety of backgrounds, perspectives, > and skills. boxxe does not discriminate based on race, religion, colour, national origin, sexual orientation, gender identity, > age, marital status, veteran status, or disability status. All our employment is based on qualification, excellence, and > business need.

Summary of the Role: As an Engineer at Maze, you'll play a pivotal role in shaping our product, with significant focus on the development of AI Agents and ML systems. You will have the unique opportunity to design, build, and scale a product from the ground up, influencing everything from architecture decisions to ML integrations and the overall user experience. This is an exciting chance to be at the core of our technical team, driving innovation in AI-powered cybersecurity solutions and ensuring seamless integration across the stack. Your Contributions to Our Journey: * AI Agents: Play a pivotal role in the development and scaling of complex AI Agents to tackle some of the biggest challenges in cybersecurity. * Architect and Develop: Design and implement backend systems that effectively support agentic workloads, ensuring they are scalable, maintainable, and secure. * End-to-End Ownership: Take ownership of the entire development lifecycle, from concept and design to deployment and maintenance. * Integrate Seamlessly: Work closely with other engineers, our designer/product manager to ensure seamless integration of new features and services. * Optimize for Performance: Continuously monitor and improve application performance, security, and scalability. * Establish Best Practices: Define and enforce coding standards, best practices, and documentation to maintain high code quality. * Rapid Prototyping: Quickly prototype and iterate on new features, adapting to user feedback and changing requirements. * Mentor and Lead: As the team grows, mentor junior engineers and lead by example in technical discussions and code reviews. What You Need to Be Successful: * Extensive Experience: 7+ years of experience in backend development * Backend Mastery: Strong experience with backend development, including RESTful API design, database management, and server-side frameworks (e.g., Python). * ML/AI Understanding: Working knowledge of machine learning principles and experience integrating LLMs or other AI services into production applications. Familiarity with tools like LangChain, LlamaIndex, or similar frameworks is a plus. * Cloud Experience: Familiarity with cloud platforms (e.g., AWS) and their ML services, along with DevOps practices, including CI/CD and containerization (e.g., Docker, Kubernetes). * Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable solutions. * AI Systems Architecture: Understanding of how to architect systems that effectively leverage AI capabilities while maintaining performance and reliability. * Collaborative Spirit: Excellent communication skills and the ability to work effectively in a cross-functional team. * Agility and Adaptability: Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed, particularly in the rapidly evolving AI landscape. Why Join Us: * Ambitious Challenges: We are using Generative AI (LLMs and Agents) to solve some of the most pressing challenges in cybersecurity today. You’ll be working at the cutting edge of this field, aiming to deliver significant breakthroughs for security teams. * Expert Team: We are a team of hands-on leaders with deep experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Impactful Work: Cybersecurity is becoming a challenge to most companies and helping them mitigate risk ultimately helps drive better outcomes for all of us.