672 jobs found

Embedded Device Security Consultant - Cheltenham "Making the world a safer and more secure place." It's our mission, plain and simple. It drives everything we do - from research to client work to community involvement. And it unifies our global team into an elite force with integrity, fierce passion, and relentless creativity that doesn't just "push the envelope" or "think outside the box." We shred the envelope, crush the box, and we have fun doing it. We are always looking for people who share our mission to join us. About IOActive IOActive, a trusted partner for Global 1000 enterprises, provides research-fueled security services across all industries. Our cutting-edge cybersecurity teams provide highly specialized technical and programmatic services including full-stack penetration testing, program efficacy assessments, and hardware hacking. IOActive brings a unique attacker's perspective to every engagement to maximize cybersecurity investments and improve the security posture and operational resiliency of our clients. Founded in 1998, IOActive is headquartered in Seattle with global operations, including state of the art hardware hacking labs in Seattle, WA, Madrid, Spain and Cheltenham, UK. This is not a Remote position. This position is expected to report for work at our security lab in Cheltenham, United Kingdom. Who you are Our Embedded Device Security consultants maintain a high level of expertise regarding threats and technical advances in embedded security. This position requires expert knowledge in areas such as C, Java, assembly languages, open platforms, and cryptography. Intellectual curiosity, the ability to navigate ambiguous environments and a bias to action are critical competencies required for success. What you'll do Perform high-end security evaluations and research for our clients, focused on a range of embedded devices Work with other team members to deliver high-quality results to IOActive's clients throughout the world Investigate possible logical attack scenarios by interpreting the code review findings, orienting the attack paths, and analyzing the test results Develop sophisticated, state-of-the-art attacks that integrate the latest attack methods against embedded products Create tools to assist in project goals Communicate complex vulnerabilities to both technical and non-technical client staff Evangelize IOActive Labs through blogs, white papers, presentations, etc. Support business development efforts through the scoping of engagements What you bring Required Technical Skills Rapid identification of attack surfaces and entry points using implicit threat modeling techniques Ability to connect and use JTAG/on-chip Debuggers Low-level C code review Crypto implementation code reviews, specifically for secure boot and code signing Java, especially Android app side ARM 32- and 64-bit assembly Wi Fi/Bluetooth Reverse engineering, specifically firmware Hardware/embedded system hacking Vulnerability assessment and penetration testing Knowledge of security related topics, such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methodologies, secure data transfer, secure data storage Consulting Skills + Experience Ability to work independently under deadline Rigorous attention to detail and strong analytic skills Ability to write test plans based upon initial impressions and discussions with the team Comfortable navigating large codebases with minimal guidance Excellent command of written and spoken English Comfortable working as part of a multinational and multidisciplinary team Logical and structured approach to projects 3 5 years or more of relevant work experience in a high paced, enterprise consulting environment What We Offer A chance to work with an industry leader in cyber security Access to world class technical teams and research A high energy, collaborative team that values innovation ️ Opportunities for travel Competitive compensation and performance based incentives If this sounds like your kind of challenge, we'd love to hear from you. Let's talk! Why IOActive The IOActive mission is to make the world a safer, more secure place from cyber threats with research and services that focuses on security that has real world impact. Join a team committed to making a difference. IOActive is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. IOActive makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Goldman Sachs in London is seeking a quantitative developer to design, build, and optimize high-performance trading systems. You will work with traders and technologists to translate financial ideas into robust software that scales under low latency conditions. The role emphasizes algorithm design, data-driven performance analysis, and rapid feature delivery, with a strong focus on Java or C++ and clear communication within cross-functional teams.

What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Who We Look For Quantitative developers are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, your invaluable quantitative perspectives on complex financial and technical challenges will power our business decisions. Our ideal candidate will have strong a strong technical background and problem solving skills, drive to investigate and learn new ideas, and the judgement to deliver quick yet robust solutions. Responsibilities Design, build, and maintain high-performance, yet nimble and adaptive trading strategies for internal and external clients. Monitor trading performance for strategies daily and build algo customization based on clients' needs. Utilize deep understanding of market structure, regulations, exchange service offerings and implement changes to these on an on-going basis. Communicate with traders, sales, clients, and compliance officers about new feature requests, explanation of existing features, etc. Basic Qualifications Advanced degree in relevant technical field such as Computer Science or Financial Technology. 2-5 years of relevant work experience. Proficiency in either Java or C++. Extensive experience with designing and implementing algorithms for US trading. Experience in data-driven trading strategy performance analysis and optimizations. Strong communication skills and the ability to work as part of a team. Preferred Qualifications Experience with building back testing for trading strategies. Experience with low latency trading strategy development. Experience supporting clients directly. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Location: This is a hybrid remote/in-office role. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FRTT8, DSY.PA), Medidata is headquartered in New York City and has been recognised as a Leader by Everest Group and IDC. Discover more at . Listen to our latest podcast, from Dreamers to Disruptors, and follow us Our team At the heart of Medidata's ecosystem, the Data Platform Team powers and connects every application, serving as the engine for enterprise data convergence. Every interaction across our global platform generates critical data-and our mission is to transform that raw information into high-impact insights. Operating on a Data-as-a-Product philosophy, our team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials and life-saving operational outcomes globally. Modern Distributed Stack: Build at the intersection of real-time event streaming pipelines, scalable cloud data warehouses, and enterprise-grade automated data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What will you do Reporting to a Director of Engineering, as a Principal Data Engineer / Architect, you will lead the strategic vision and hands-on execution of our next-generation Object-Centric Data Fabric. You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data-including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role, AI augmentation is natively woven into your workflow. It acts as a force multiplier to automate routine mapping, query optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture. Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-Throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services in Java or Scala, leveraging AI coding assistants for rapid code generation, refactoring, and performance tuning. Technical Strategy & Database Optimization: Promote technical direction and engineering best practices across teams for Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies in real-time and automatically map safety signals back to operational trial datasets. Quality & AI-Driven Compliance: Lead Test-Driven Development (TDD) and Behavior-Driven Development (BDD) initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments and implement resilient, self-healing pipeline architectures. Key Business Value & Strategic Impact Your leadership will directly advance life sciences technology. By pairing modern lakehouse architecture (Snowflake, Apache Iceberg, Kafka) with AI-augmented workflows, you will empower our platform to process critical safety signals in hours rather than weeks. This enables adaptive clinical trial execution, guarantees zero-loss data integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg. Software Engineering & Streaming: Demonstrated expertise building production backend services in Java or Scala on AWS, alongside deep familiarity with real-time streaming architectures (e.g., Apache Kafka) and modern data engineering design patterns. AI-Augmented Engineering Proficiency: Active, practical experience integrating AI developer tools (e.g., GitHub Copilot, Cursor) into daily workflows to accelerate SQL query generation, code refactoring, automated testing, and technical documentation drafting. Engineering Rigor & Methodologies: Proven command of Git revision control, CI/CD pipeline automation, and TDD/BDD practices, augmented by AI-driven test case generation and quality checks. Domain & Regulatory Awareness: Strong foundational understanding of clinical trial data workflows (e.g., EDC architectures), healthcare data models, and life science compliance standards (GxP, HIPAA, GDPR), with the ability to apply AI/ML tools for schema mapping and zero-loss data integrity verification. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognise employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance; a generous pension; and 25+ paid holidays per year. Inclusion statement As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it's our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future. MEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.

Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: C - Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent The purpose of this role is to help shape the LME's strategic data platform which can reliably process, store, and serve high-volume, high-velocity trading data at scale, while providing engineering teams with reusable, self-service capabilities that accelerate the delivery of trading and analytical solutions. Success in this role means delivering a highly scalable and resilient data platform that becomes the engineering foundation for all data-intensive trading workloads, enabling faster innovation, improved reliability, reduced operational complexity, and better utilisation of market and trading data across the organisation. Strong Required Demonstrable Experience of: A candidate for this position must have got working experience in IT organisation as a technologist who has evolved from a strong background in hands on software development: 10+ years of experience with software development, preferably working with JVM based languages (Java/Scala/Kotlin). Provide expertise on the development of highly scalable data platforms, data warehouses (SQL server, Postgres), and modern data lakes. Solve complex scalability, reliability, latency, and performance challenges associated with large-scale distributed systems. Provide self-service platform capabilities that allow engineering teams to onboard, process, discover, and consume data efficiently. Influence technology strategy and roadmaps across Trading Technology, Data Engineering, and Platform Engineering functions. Build high-volume distributed data platforms capable of processing billions of events per day and managing terabytes scale datasets. Develop modern Data Lakehouse platforms leveraging S3-compatible object storage, Apache Iceberg, Spark, and Trino. Build real-time streaming integration using Apache Kafka and Apache Flink for low-latency event processing, enrichment, and data distribution. Drive performance engineering and scalability across data ingestion, storage, streaming, query, and analytics platforms. Design and build self-service data platform capabilities including APIs, data products, metadata services, and developer enablement frameworks. Implement cloud-native platform engineering practices using Kubernetes/OpenShift, Terraform, CI/CD, GitOps, and Infrastructure as Code. Lead metadata, lineage, and data discovery capabilities using technologies such as DataHub, OpenMetadata, or Apache Atlas to improve platform transparency and usability. Ensure platform security and regulatory compliance through fine-grained access controls, encryption, secrets management, auditing, and secure-by-design engineering principles. Bonus for knowledge of: Automation/configuration management using toolsets such as Puppet, Chef, Ansible or equivalent Docker and Kubernetes. Knowledge and understanding of financial markets. Setting up CI/CD pipelines using Bamboo. Confluent certified developer for Apache kafka. Dollar Universe Personal Qualities: Ability to work under pressure with changing priorities, with a view to resolving issues innovatively, and meeting key stakeholders expectations. A dynamic and self-motivated attitude Accountable and proactive Able to provide leadership and motivate team demonstrating strong interpersonal skills Must display strong analytical skills and attention for detail. Demonstrates pragmatic judgement, balancing risk and business value to reach decisions which are well informed and actionable.

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Bachelor's degree or equivalent practical experience. 8 years of experience in full-stack software development using languages such as C++, Java, Kotlin, and Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. Experience working in a research-adjacent environment, translating SOTA models into product features. Familiarity with the Google Cloud Platform (GCP) and billing/infrastructure for compute-intensive workloads. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Labs incubates early-stage efforts to discover and create Google's next generation of AI products. Our small, product-driven teams focus on rapid innovation to support Google's core mission. The Language Applications team manages a portfolio, including high-profile launches such as AI Studio, NotebookLM and the Gemini API for developers. Labs Science is a new initiative within Language Applications. In partnership with Google DeepMind (GDM), we transform breakthrough research-such as Co-Scientist and AlphaEvolve-into user-centric products designed to accelerate the pace of scientific discovery. Responsibilities Partner with Google DeepMind to translate breakthrough GenAI research assets like Co-Scientist and AlphaEvolve into intuitive products that accelerate scientific discovery. Architect and build entirely new products from the ground up, moving rapidly from prototypes to production-ready services in a changing environment. Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements. Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases. Work closely with Product Managers and UX partners to discover user needs and iterate on features that genuinely delight the scientific community. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Opportunity We are looking for an experienced C++/Python Quantitative Developer to join a high-impact quantitative analytics team focused on Cross Asset XVA and Capital Analytics. This is a senior technical role combining quantitative modelling, software engineering and financial markets, with responsibility for developing analytics libraries used across pricing and risk management. You will work closely with Traders, Structurers, Quantitative Analysts and technology teams to deliver robust, scalable and production-ready solutions. Key Responsibilities Develop and maintain quantitative analytics libraries supporting pricing and risk management. Implement and support quantitative models using a combination of mathematical and computer science techniques. Develop pricing and valuation models using numerical methods, including Monte Carlo simulations and PDE solvers. Build high-quality software using C++ and Python, alongside technologies such as C#/.NET, Java, SQL and kdb. Apply object-oriented design principles and strong software engineering practices to quantitative applications. Work with market data and develop analytical solutions for complex financial instruments. Collaborate closely with Traders, Structurers, Quantitative Analysts and Technology teams. Partner with control functions including Market Risk, Credit Risk, Finance, Legal, Compliance and Audit. Contribute to appropriate governance, controls and risk-management processes. Provide technical expertise and contribute to the wider direction of the quantitative technology function. Requirements Essential Experience Strong professional experience in a quantitative development, quantitative modelling or analytics role, ideally within financial services. Strong Python programming experience. Experience with C#/.NET and SQL. Strong understanding of software design principles and object-oriented programming. Experience working with market data. Strong knowledge of statistics and probability. Ability to apply probability theory and numerical techniques to complex financial instruments. Experience with quantitative methods and mathematical finance. Understanding of investments and financial products. Strong communication skills with the ability to work effectively with both technical and business stakeholders. Nice to have Desirable Technical Experience Monte Carlo modelling Partial Differential Equation (PDE) solvers Numerical analysis Quantitative pricing and risk analytics Hardware acceleration kdb / time-series market data Java SQL High-performance quantitative applications Ideal Candidate The ideal candidate will be a strong software engineer with genuine quantitative capability, rather than purely a software developer or purely theoretical quant. You should be comfortable moving between C++ development, Python analytics, mathematical modelling and financial markets, while being able to communicate effectively with Traders, Structurers and senior stakeholders. A Bachelor's or Master's degree in a relevant discipline is expected, with a Master's or PhD preferred. Core Technology Stack C++ Python C#/.NET Java SQL kdb Mathematical Finance Statistics & Probability Monte Carlo PDEs Market Data Quantitative Analytics Pricing & Risk We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Job Title: Associate Consultant (Infrastructure Performance Consultancy - Production Systems Engineering) Location: London (Hybrid working available, min 2-3 days in the office/week) Salary: £75K - £80K+ (DOE including competitive pension and benefits package, including a compressed 9-day fortnight option) Hours: Full Time, 37.5h p/w (Part-time Considered) Contract Type: Permanent The Role Overview We are looking for an experienced professional at an associate level with a design, contracting or consulting background to join our growing Infrastructure Performance Consultancy (IPC) team. We are also open to people with an entrepreneurship background, process design or automation experience within manufacturing. With Expedition, you will play an important role in delivering engineering led consultancy services. You will work within our teams to help drive innovation, productivity, and efficiency improvements across the industry, supporting major infrastructure and construction clients. Through these projects, you will deliver practical change in line with the Construction Playbook, Project 13, NISTA guidance, PAS4010 and other leading industry thinking. You might find yourself in a room with representatives from a major infrastructure client organisation diagnosing the project and identifying the key problems to tackle. Within weeks you would be working with leading construction experts to develop analytical physics based models to predict project performance, present insights and propose actions to the client. What We Are Looking For We are looking for a highly versatile problem solver. A strong civil, structural, or geotechnical design experience is valuable, but less critical than having a robust, overall understanding of the end to end design and construction process. Deep experience in manufacturing will also be considered. In particular, this individual will have strong skills in either digital, site based or manufacturing fields which will help expand our team's capabilities. You are someone who bridges the gap between site and the digital environment-you are as happy standing on site talking to teams about the root cause of a problem as you are developing bespoke tools, automation scripts, or data pipelines to solve the problem back at the office. You have the experience to know when traditional engineering tools are good enough. The sort of digital skills you have might include: Advanced construction or manufacturing planning software or business process simulation. Python for automation Data visualisation e.g. PowerBI, Jupyter Notebooks or JavaScript libraries Database development Computational design frameworks like Grasshopper/Dynamo AEC data integration tools, e.g. Speckle Digital development in small teams, using version control and collaboration tools You will have built up a portfolio of experience in the construction, manufacturing or infrastructure sector, potentially including highly regulated environments like nuclear facilities or defence, and be ready to use your expertise in new ways. As a key member of the team, you will be responsible for the planning and delivery of consultancy and engineering focused projects. Key Expertise Areas We do not expect candidates to possess every skill listed below. Rather, we are looking for candidates who combine a strong core understanding of construction with specialist experience in one or more of the following areas: Design for Manufacturing and Assembly (DfMA) & Buildability: Experience in construction engineering, temporary works, demountable structures, or the development of mass produced structural products. Digital Engineering & Automation: Experience in bespoke software development, building custom engineering design tools, or computational design. Consultancy & Strategy: Advising major infrastructure clients on delivery performance improvements, driving innovation, and transforming major capital programmes. Project Leadership: Experience in the commercial and technical management of consultancy projects, adapting rapidly to developing briefs, and synthesizing complex technical landscapes for clients. Essential Requirements Professional Qualification: Chartered Professional (e.g., CEng) and Membership with an appropriate professional body such as IStructE, ICE, CIBSE, or IMechE or equivalent body. Process Knowledge: A strong overall understanding of the design and construction process, with the ability to diagnose issues systemically. Communication: Strong written English and a track record of delivering high quality client reports, technical publications, or technical advice. Excellent communication skills to maintain and develop productive client relationships. Culture & Values: A collaborative, adaptable team player who is comfortable working in a small, fast paced organisation and has a passion for creating a better built environment in line with the Trust's values. Who We Are The Useful Simple Trust (UST) is an award winning group of professional design and consultancy practices driving change in the built environment through our three brands: Expedition Engineering, Useful Projects, and Useful Studio. Certified as a B Corp, Social Enterprise, and Employee Benefit Organisation, we are addressing the significant issues of our time, including Net Zero carbon, circular economy, biodiversity gain, and social impact. We are a certified Carbon Literate Organisation, and are committed to becoming carbon neutral by 2030. What We Offer Flexible and hybrid working, including the possibility to work a compressed nine day fortnight. 25 days annual leave + bank holidays. Personal development programme including enhanced learning and mentoring, as part of a coaching culture. Private medical insurance for you and your family. Company Pension Scheme (grade dependent, minimum of 6%). Life Assurance, Annual Eyecare Plan, and Cycle to Work Scheme. Free access to our Employee Assistance Program (EAP) for you and your family. Diversity Statement UST strives to be a diverse and inclusive place where we can all be ourselves. We encourage people from culturally diverse backgrounds, women, people with different abilities, the LGBTIQ+ community, and all age groups to apply. We know that diversity makes us stronger, and we are committed to creating an inclusive working environment.

Google Inc. is seeking highly skilled software engineers to join our team in London, tackling large-scale systems, AI, and data-driven challenges. You will own outcomes, influence stakeholders, and work across full-stack architectures. Ideal candidates bring 8+ years of experience in C++, Java, Kotlin, and Typescript, with ML familiarity and a track record of shipping product features at scale.

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. Available Locations: Lisbon London Hybrid About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare's edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team The Workers KV team delivers Cloudflare's global, low-latency, key-value data storage. KV lets developers store and retrieve data globally. With Workers KV, you can build dynamic and performant APIs and websites that support high read volumes with low latency. KV is integrated with Cloudflare Workers but can also be used via our REST API. Here are a few example use-cases: Caching API responses Storing user configurations and preferences Storing user authentication details The team is geographically distributed across Western Europe. What you'll do We are looking for an experienced Senior Engineering Manager to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day. You will play an active part in shaping product features and improving performance to make Workers KV the best it can be. You will make sure our company hits our ambitious goals from an engineering standpoint.You will change the way people build applications. You bring a passion for meeting business needs by building technical, innovative solutions. You excel to understand how big-picture goals inform technical details. You thrive in a fast-paced iterative engineering environment and have experience in delivering scalable distributed systems. Most importantly, you have a track record of having past teams respect you as both a technical leader and manager. Examples of desirable skills, knowledge and experience Strong communications skills - especially building a shared understanding of systems among a team's members. Comfortable leading and hiring a team that builds distributed systems. Navigate uncertainty and ambiguity - many of the things we build have never been built before anywhere and you are expected to find a way to deliver. Excel at planning, creating teams, and overseeing execution to meet commitments and deliver with predictability Comfortable building developer-loved APIs that scale Demonstrate a track record of leading a team including hiring, on-boarding, and professional development. You inspire your team to reach higher. You're as good as explaining "why" as you are "how". Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages At least 4 years of recent professional experience with TypeScript or Go. Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design. Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly Bonus Points Experience building high performance distributed systems Experience delivering and operating critical infrastructure for cloud platforms, especially serverless platforms Deep Linux/UNIX systems, kernel, or networking knowledge Contributions to large open source projects Experience working with distributed storage and cache architectures Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers-at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by ourprivacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. 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DWP. Digital with Purpose. Join DWP as a Java Software Engineer and help build secure, scalable digital services that support millions of people across the UK. Working with modern technologies and talented multidisciplinary teams, you'll develop solutions that make a real difference to people's lives every day click apply for full job details