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AI Software Engineer Lead design and delivery of AI-enabled Spring Portfolio features across Broadcom's open-source ecosystem. Location: Cambridge, England, United Kingdom About The Role The Tanzu Division at Broadcom focuses on modern application development, management, and data intelligence, helping enterprises build and run cloud-native apps faster and more securely. Our recent efforts focus on GenAI integration through tools like Tanzu Platform 10, Tanzu Data Intelligence, Bitnami, and Spring AI. This division is a key part of Broadcom's strategy, streamlining its cloud-native portfolio to deliver application delivery and AI innovation. We are seeking a highly experienced Software Engineer to join our growing team. The ideal candidate will provide technical leadership, drive architectural decisions, and significantly contribute to the development of our next generation products. This role requires deep expertise in software design, a proven track record of solving complex technical challenges, and the ability to mentor and guide engineering teams. Key Responsibilities Define and drive the design, implementation, and testing of core features for the open source Spring Portfolio related to AI capabilities. Engage with the open-source community by triaging GitHub issues, reviewing contributions, and fostering a welcoming environment for contributors at all levels. Mentor and coach senior and staff-level engineers, fostering a culture of technical excellence. Collaborate with community, product management, design, and other engineering teams to define requirements and deliver solutions. Coordinate with external service providers including AI vendors like Anthropic, OpenAI, Amazon Bedrock, Google GenAI, Azure OpenAI as well as vector store vendors. Drive continuous improvement in engineering practices, tools, and processes. Participate in high-level architectural reviews and technology evaluations. Evangelize Spring and related products via various marketing activities that can include writing blog posts, public speaking, or other opportunities. Minimum Requirements Bachelor of Science degree in Computer Science or related field and a minimum of 12+ years of experience OR Master's Degree with 10+ years of relevant experience. Strong proficiency in Java and solid understanding of Spring fundamentals, including dependency injection, application context, and Spring's programming model. Hands on experience building production applications with the Spring Portfolio. Excellent analytical and problem solving skills, with a keen eye for detail and a methodical approach to complex challenges. Excellent written and verbal communication skills, with the ability to articulate complex technical issues to both technical and non-technical audiences. Preferred Qualifications Experience contributing to or maintaining open-source projects. Understanding of agentic patterns such as tool use, tool calling, multi-step reasoning, and orchestration frameworks. Familiarity with Large Language Models (LLMs), including prompt engineering, context management, and integration patterns. Understanding of vector databases and similarity search concepts. Experience with application observability (Micrometer, OpenTelemetry). Experience designing extensible APIs and abstraction layers. Experience or familiarity with Langchain4J, Embable, or related JDK based frameworks. Experience with AI coding assistants. Hands on experience with Git and CI automation via GitHub Actions. Equal Employment Opportunity Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

Global Banking & Markets - Software Engineer - Vice President - London Job Description The Opportunity Goldman Sachs has embarked on one of its most ambitious engineering programs: the Consolidated Trade Ledger (CTL), a ground up reimagining of the front-to-back architecture that underpins every trade the firm executes. CTL is a flagship initiative jointly sponsored by Global Markets and Engineering leadership, and it sits at the very heart of the firm's core technology strategy. This new, cloud-native platform will deliver the capacity, extensibility, scalability, and innovation capabilities to power the next two decades of growth for Global Markets, while simultaneously driving significant operational efficiencies. The program follows an engineering-principles-first approach and represents a rare chance to define the foundational systems of a world leading financial institution from the ground up. As trading volumes continue to accelerate, we are building a small team of ambitious and highly experienced engineers to spearhead the migration of our entire global Equities trading business onto CTL. The Role You will work with a set of core CTL business services and adapt them for Equities Trading, creating capabilities that can be leveraged across Global Markets front, middle, and back office functions. This includes extending CTL's flexible data model to integrate seamlessly with existing production idioms, while meeting the diverse and often complex business requirements of a global 24x7 trading operation, while balancing stringent non functional demands for availability, latency, and resilience. Critically, you will lean heavily into AI driven development. Using Goldman Sachs' AI tooling and agentic coding assistants, you will govern multiple AI agents, rapidly comprehend large legacy codebases, generate and assess production quality code, and accelerate every phase of the software development lifecycle. Your Impact Drive a strategic transformation: Work alongside domain experts to understand existing production processes, challenge long held assumptions that may no longer hold in a cloud centric, AI driven world, and define and deliver the requirements for CTL integration. Multiply your output with AI: Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot, Devin, Gemini Code Assist) across all stages of the SDLC while maintaining mastery, quality, and production fitness over all AI generated work product. Deliver outsized business value: Position Goldman Sachs' Equities business to handle orders of magnitude higher volumes at lower operational costs, directly contributing to the firm's competitive and commercial edge. Build for the future: Design and implement high availability, multi region, event driven services on a modern cloud native platform, setting the architectural standard for years to come. What You Will Do Design, build, and operate high availability, multi region, cloud native services with security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer. Develop event driven architectures, multi stage processing pipelines, and optimized data paths for high throughput trade lifecycle management. Partner with engineers, domain experts, and global stakeholders to understand, model, and digitize the firm's business processes, challenging entrenched practices and driving modernization across teams. Manage the full lifecycle of software components, from requirements analysis through design, development, testing, and release, in line with robust SDLC and Agile best practices. Innovate creative solutions to complex business and technical problems, building reusable capabilities that can be leveraged across Global Markets front, middle, and back office functions. Multiply your impact with a modern, AI centric toolchain, orchestrating AI coding agents across all stages of the SDLC to rapidly comprehend large codebases, generate production quality code, and accelerate delivery. Required Qualifications 8+ years of professional software development experience in Java (Java 17+ preferred), with strong command of concurrency, collections, and modern language features. Demonstrated experience with AI assisted engineering tools (e.g., Claude Code, GitHub Copilot Agent Mode, Devin, Gemini Code Assist), including the ability to govern AI agents, critically assess their output, and maintain quality over AI generated work product. Experience building event driven and distributed systems, including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies. Strong SDLC practices: version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality tooling. Solid testing discipline: unit, integration, and acceptance testing with modern frameworks. Ability to rapidly navigate, understand, and debug large and unfamiliar codebases- with and without AI assistance. Excellent communication and collaboration skills across technical and non technical audiences in geographically distributed teams. Preferred Qualifications Experience with a meaningful subset of the following is highly valued: Frameworks & Architecture: Spring Boot, gRPC / Protocol Buffers, integration/orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high availability environments. Data & Performance: Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency sensitive systems. Security: Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation. Domain Knowledge: Equities, post trade, or financial services experience; trade lifecycle concepts, asset servicing, position management, reconciliation, and multi system migration environments. Other: Asynchronous / non blocking I/O frameworks (e.g., Vert.x, Netty), multi region / BCP architectures, and open source contribution experience. 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: 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. Job Info Job Identification 170008 Job Category Vice President Posting Date 04/24/2026, 03:44 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services 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. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also provide state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care . click apply for full job details

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.

Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances

Overview We're looking for a Senior AI QA Engineer who doesn't wait to be told what to test. You'll own quality across our Wealth Management experience - from strategy to execution, from microservices to the UI your customers touch. This role shapes how quality works, pushes automation to developers, and advocates shift-left while maintaining high standards under pressure. You'll be the quality voice in product discussions, architecture reviews, and incident retrospectives. When something breaks, you're already halfway through debugging it. When a new product launches, you've already stress-tested it. Responsibilities Own the Quality Strategy. Define and execute the test strategy for every new product and feature across the Wealth Management business line. Build and adapt plans to real-world conditions. Drive Automation Where It Matters. Build and maintain automation frameworks for microservices, APIs, and end-to-end flows. Enable team self-sufficiency for regressions. Lead Performance Testing. Own performance testing end-to-end - design load profiles, script scenarios, analyze results, and collaborate with engineering to fix issues. Champion Shift-Left Practices. Embed quality thinking early in the development lifecycle. Ask how to test in design reviews and shorten feedback loops. Monitor, Observe, Debug. Read logs, trace requests in distributed systems, and independently debug issues without waiting for a root-cause handoff. Operate Under Pressure. Manage multiple projects, communicate tradeoffs clearly, and deliver consistently under high pace. Influence and Collaborate. Work across product, engineering, and stakeholder teams; raise risks early and bring teams along. Qualifications 7+ years in QA with a track record of owning quality across complex, modern systems. Deep programming ability with strong skills in at least one language; preference for TypeScript, with ability to pick up other languages quickly. Automation expertise for microservices, with experience in contract testing, API testing, and keeping test suites fast and reliable. Performance testing proficiency with tools such as K6, Gatling, Locust, or JMeter and ability to design realistic load models. CI/CD fluency; experience integrating test automation into pipelines; AWS infrastructure experience preferred. Monitoring and observability know-how with tools like Datadog, Grafana, CloudWatch, etc. Strong communication and presence in agile ceremonies, product discussions, and cross-team conversations. Experience with AI & Agentic Systems Experience testing AI-driven or non-deterministic systems is valued. Strong plus if you have: Testing agentic AI systems, LLM-powered features, or recommendation engines with probabilistic outputs. Designing validation strategies for non-deterministic behavior, including output quality scoring and guardrail verification. Evaluating AI model outputs for accuracy, safety, bias, and hallucination. If you haven't worked with AI yet but are curious and eager to learn, that matters to us too. Nice to Have Experience in fintech, wealth management, or regulated financial services. Contributions to internal quality guilds or engineering culture initiatives. Experience mentoring junior QA engineers or developers on testing best practices. What we're really looking for Beyond the skills and experience, we want ownership and independence. You don't wait for permission to improve something. You fix gaps in coverage, flaky tests, or missing dashboards. You treat the Wealth Management experience line as yours and hold yourself to the same standard as the product. You're a quality enabler who helps teams ship reliable software. Working Hours Monday to Thursday: 9:00 AM - 6:00 PM Friday: 8:00 AM - 4:00 PM Enjoy a structured yet balanced workweek with an early Friday finish to kickstart your weekend. Perks Salary: £60,000 - £70,000 per annum Discretionary performance-related annual bonus Workplace pension scheme (5% on earnings up to £50,000) Private medical insurance and Employee Assistance Programme Cycle to work, season ticket loan, and other wellbeing benefits Free ChipX subscription for UK-based employees 28 days holiday plus bank holidays, plus days between Christmas and New Year Annual training budget for courses, workshops, or conferences Company laptop Opportunity to have a huge impact in a high-growth fintech Interview Process Video screen with Talent team Short take-home test Video technical interview with the hiring manager Final interview with Head of AI About Chip Chip's mission is to make your life wealthy. We're building the wealth super app of the future to manage, grow and protect wealth. Chip serves over 400,000 active customers and looks after over £6billion in assets. Our values are: Be ACCOUNTABLE, Be BOLD, Be COLLABORATIVE. We are an equal-opportunity employer and value diversity. We encourage applications from all backgrounds. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. Chip reserves the right to hire without any financial obligation to recruiters for unsolicited CVs.

Qualifications A degree or equivalent experience, often in a STEM subject (though not essential). Excellent critical thinking and investigative mindset. Clear communication and ability to work effectively as part of a team. Ability to break down problems, think through possible solutions and question assumptions. Initiative and ownership - asking questions, experimenting, and taking responsibility as you learn. What You'll Do Take part in structured hands on training covering core engineering and testing skills. Test working software as part of a team, applying what you've learned in a real world setting. Be mentored by experienced colleagues in a collaborative environment that encourages knowledge sharing. Have the chance to earn industry standard certifications. Progress to client work, building confidence and taking on larger challenges over time. Work on a variety of projects including testing interactive web and mobile applications, assessing agentic AI solutions, delving into performance and resilience, and championing accessibility. Benefits 25 days annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme and group life assurance. Optional benefits such as discounted gym membership and a cycle to work scheme. EEO Statement We believe diversity drives innovation, and we embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!

Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!

About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.

Welcome to the Agentic Commerce EraAt Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce , Feedonomics , and Makeswift , we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.The Commerce Payment integrations team is looking for a Software Engineer who wants to make an impact at every level of society by powering innovators, creative thinkers, entrepreneurs, and business owners around the world to be successful at every stage of their growth.The Commerce Payment integrations team is responsible for building, operating, and continuously improving payment integrations on the BigCommerce platform - one of the most business-critical and revenue-sensitive areas of the product.Our team builds payment gateway integrations that help merchants securely process payments and support scalable, high-performance, and flexible checkout experiences.What The Team OwnsDesigns and maintains payment integrations functionality and APIs, including cart-to-order flows and payments processingEnsures high availability, performance, and correctness for checkout and payments related services, given their direct impact on merchant revenuePartners closely with Product to evolve checkout and payments capabilities while balancing quality, security (PCI), and speed of deliveryOwns incident management and on-call responsibilities for checkout services due to their critical natureThe Commerce Engineering organisation is on a mission to build the leading SaaS eCommerce platform. We work closely with engineering teams across multiple domains, product managers, designers, business stakeholders, and external partners to build a platform where we can easily and securely deliver new and alternative user experiences. Our team brings together people with varied experience and strengths, and we iterate, learn, and build great software together.What You'll DoDesign, implement, and maintain features in a Ruby on Rails service for the payments offering on the BigCommerce platformEnsure functionality is production-grade, with the appropriate test coverage on all layers, instrumentation in place, and documentationTroubleshoot production issues and contribute to post-incident reviews to improve reliabilityProduce bullet-proof code that is robust, efficient, and maintainableWork on challenging problems such as query optimization and performance optimization while adhering to security protocolsWork closely with operations and infrastructure to improve the architecture while building and scaling back-end servicesEngage in technical discussion of new solutions and architecturesBuild beautiful, scalable products using modern toolsCollaborate with our product and design teams to define feature specifications and timelinesBuild new features with a focus on testability and extensibilityEngage in technical discussion of new solutions and architecturesMentor other engineers in the current domainReview other engineer's code to maintain and improve quality and securitySupport an open, positive, and energized cultureEncourage innovation and foster an environment of continuous improvementEnsure that technical decisions support our goals of quality, performance, scalability, reliability, availability, and securityWho You Are3+ years of professional backend development experience, with a strong focus on Ruby on RailsSolid understanding of building and operating production-grade systems (e.g. you know your way around logs, traces, metrics, feature flags, and can debug live traffic issues)Familiarity with observability tooling (e.g. Prometheus, Grafana, Sentry and Lightstep)A good understanding of Domain Driven Designexperience integrating with third-party APIs and services, particularly those with nuanced state transitions (like payment flows).Education: Preferred Minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience or completed either a comprehensive software engineering boot campExperience with principles of continuous integration and designing, implementing and taking ownership of various tasks across the development cycleExperienced in developing high-performance, scalable and available web services, and applicationsExperience with PHP and Scala is preferred and BelongingAt Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.Learn more about the Commerce team, culture and benefits at Yourself Against Hiring Scams: Our Corporate DisclaimerCommerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.Be advised:Commerce does not offer jobs to individuals who do not go through our formal hiring process.Commerce will never:require payment of recruitment fees from candidates;request personally identifiable information through unsanctioned websites or applications;attempt to solicit money from you as part of the hiring process or as part of an employment offer;solicit money to complete visa requirements as part of a job offer.If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.