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Job Summary We are seeking a dynamic and customer-obsessed Software Firewall Sales Specialist to drive business development, customer engagement, and execute the sales process for our growing portfolio of AI security solutions in the EMEA market. As an individual contributor, you will be a key player in identifying and converting high-potential opportunities, accelerating adoption, and positioning Palo Alto Networks as the go-to partner for securing Cloud and AI initiatives. This is a customer-facing specialist role requiring strong collaboration with internal teams to achieve sales objectives. Key Responsibilities Develop and execute targeted sales and go-to-market (GTM) strategies to generate pipeline and close new customers for Palo Alto Networks Next Generation Software Firewall solutions. Proactively collaborate with cross-functional teams, including extended sales teams, product, marketing, and channel partners, to align and execute sales plays in your territory. Partner with the extended sales and technical solutions teams to identify, qualify, and technically validate new Software Firewall opportunities with customers. Serve as a trusted advisor to strategic customers and partners, driving consultative sales cycles from initial engagement to close. Identify customer requirements and articulate the value proposition of Palo Alto Networks' AI security and Software Firewall offerings to meet their needs. Evangelize the value of securing AI across industry events, executive briefings, and thought leadership opportunities. Track and report on performance metrics, pipeline health, and market insights to support forecasting and strategy refinement. Qualifications 8+ years of experience in a sales or sales specialist role within the cybersecurity, cloud, or AI industry. Proven track record of meeting or exceeding sales targets and driving net-new revenue growth. Strong grasp of firewall fundamentals and a deep understanding of cybersecurity principles, including data, network, and cloud security. Extensive experience with major cloud platforms such as AWS, Azure, or GCP. Bachelor's degree in business, computer science, engineering, or a related field. Preferred Qualifications Advanced degree (e.g., MBA, MS) is a plus. Experience selling to CISOs, CIOs, and data science/security teams. Experience working in a high-growth or scale-up environment. Background in working with or through VARs, cloud marketplaces, or CSP partnerships. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? Job Overview: Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands on professionals to design and deliver client centric intelligent systems and support business growth through strategic pre sales and solutioning initiatives. Key Responsibilities Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel. Architect LLM powered workflows involving multi agent collaboration, decision logic, memory management, and external tool integration. Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.). Participate in RFI/RFP responses, creating high impact solution overviews, architectural diagrams, and effort/cost estimations. Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps. Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications. Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys' AI frameworks. Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning). Provide technical mentorship and hands on support to junior consultants, helping shape internal capability development. Collaborate with cross functional teams on AI governance, responsible AI practices, and integration into enterprise environments. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect level roles. 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands on development with LLMs and autonomous AI agents. Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. Experience with pre sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment. Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices. Exceptional communication and consulting skills, with the ability to present solutions to both technical and non technical stakeholders. Preferred Skills Hands on exposure to cognitive architectures, planning based agents, or reinforcement learning in real world deployments. Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems. Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now. We offer industry leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!

JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Engineering Manager at the company within the Accelerator Business, you would be responsible for the vision for the Data and AI capabilities of the platform - to enable product teams to focus on their core problems and platform would cover the rest. To give a not complete list of examples: data ingestion, transformation, exposing in various query engines, LLM patterns, audit, safety guardrails, compliance and observability. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark, VertexAI, ModelArmor, DeepEval, Google ADK. Job responsibilities Set the vision and multi-year strategy for the Data & AI Platform that powers Chase's next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes. Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery. Own the platform's end-to-end data foundation-ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products-built for reliability, scalability, and self-service adoption. Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations. Define and deliver platform enablement for LLM powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails. Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform. Drive a product oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest leverage capabilities and accelerate adoption across teams. Enable data driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes. Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability. Required qualifications, capabilities and skills Being a problem solver: you can independently analyze a problem and come up with options on how to solve it. Flexibility regarding tools and languages: for example you have to be open to debug an permission issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!). Knowledge of data structures. Experience with either Kubernetes or Docker. Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event driven architectures. Experience in leading people. Preferred qualifications, capabilities and skills Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.). Experience with Kafka Connect. Preferably experience in setting up data platforms, setting standards - not just pipelines. Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink). Familiarity with advanced AI/ML concepts and protocols, such as Retrieval Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) Experience with a deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. 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 our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

About the Role We are looking for an experienced Principal Back-End Engineer to lead the team building and scaling the infrastructure behind Scenario Builder, our electricity grid modelling platform. Scenario Builder is an in-browser platform that currently provides capacity expansion and dispatch modelling through an accessible no-code interface. The vision for Scenario Builder is to expand into power flow modelling to create a fully integrated grid modelling platform with the features and functionality needed to enable users to develop bankable scenarios that support energy investment decisions. You will line-manage a small team of engineers while remaining a highly active individual contributor. You will own the technical shape of engineering work on the back-end team - leading planning, architecture, and code quality. You will work closely with the wider product and engineering team to design, develop, and maintain the back-end services that power our platform. This hybrid role is based out of our London office near Waterloo Station and reports to the Head of Platform. Responsibilities Back-end development & architecture Design, develop, and maintain scalable back-end services and APIs using Python and modern frameworks (FastAPI). Design and build high-performance API endpoints to handle complex hierarchical data queries and multi-dimensional aggregations for grid modelling computations Ensure system reliability, performance, and security through best practices in code quality, testing, and monitoring. Collaborate with front-end engineers to design and implement RESTful APIs that support our web application. Collaborate with data engineers and domain experts on the evolving core data model Infrastructure & DevOps Manage and optimise cloud infrastructure (GCP) to support our computational workloads. Implement and maintain CI/CD pipelines to enable rapid, reliable deployments. Monitor system health and performance, proactively identifying and resolving issues. Implement and maintain infrastructure-as-code Technical leadership & collaboration Participate and lead in code reviews, architectural discussions, and technical planning sessions. Own technical planning: break down roadmap items into well-scoped engineering work, lead estimation, and drive architectural decision records (ADRs). Collaborate with cross-functional teams, including product, data engineering, and modelling, to deliver impactful features. Set and uphold the team's technical standards - code quality, testing strategy, API design - through direct example and code review. People & line management Line-manage a team of 3-5 engineers: run regular 1:1s, support career development, and provide timely, constructive feedback. Partner with the Head of Platform on performance reviews and personal development plans. Act as the first point of escalation for day-to-day technical blockers About You You should have a long-term commitment to advancing the energy transition and be driven to build robust, scalable systems that power our grid modelling platform. Passionate about creating highly performant back-end services, you understand the technical challenges associated with building niche B2B products that handle complex computational workloads. In addition to seeking out people with a proactive, problem-solving attitude and an eye for detail, as a growing organisation, collegiality and empathy for our coworkers are a requisite. While we are a rapidly growing tech startup, we are also a non-profit, so a high level of adaptability and willingness to approach challenges with creativity and curiosity is essential. Skills & Experience Essential 7+ years of experience in back-end software development, with strong proficiency in Python. Experience designing and building RESTful APIs and microservices architectures. Strong understanding of database technologies (PostgreSQL, Redis, Firestore), ORMs and data modelling principles. Experience with cloud platforms (preferably GCP) and containerisation technologies (Docker). Solid understanding of software engineering best practices, including testing, code review, and documentation. Excellent problem-solving skills and ability to work independently on complex technical challenges. Experience line managing or formally mentoring engineers, with confidence running 1:1s and supporting career development. Understanding of OAuth and web security best practices. Experience with AGILE/Scrum based ways-of-working Desirable Experience in the energy sector or with computational modelling/simulation software. Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks. Experience with generative AI/LLMs in applied engineering contexts Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices.

About the role the company is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our facility - from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI - training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Lead the build-out of automation to support datacenters containing tens of thousands of servers. Define and own the end-to-end server lifecycle strategy - from provisioning and deployment through operation, maintenance, refresh, and decommissioning - and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP. Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications 8+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline. Hands on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u root. Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across thousands of hosts. Background in large scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification - or a strong desire to develop deep expertise in this area. The annual compensation range for this role is listed below. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the intern

About Us Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, the company has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview the company is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. Job Responsibilities Firm-Wide Cloud Platform Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks. Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). Define compute placement strategies, including cluster placement groups and locality aware scheduling. Build and maintain shared platform capabilities that enable engineering teams across the firm to self serve reliably and safely. Own FinOps visibility and cost optimization frameworks across all trading and research workloads. Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. Define firm wide observability standards and own the cloud layer of the monitoring and alerting stack. Mentor engineers and establish infrastructure standards that raise the engineering bar across teams. Cloud Migration (CME-GCP) Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. Define GCP compute strategy (Compute Engine, GKE, sole tenant nodes) with trading appropriate placement and locality considerations. Extend Terraform IaC standards to GCP; establish cross cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace. Crypto Desk - Specialized Support Design secure, low latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability. Requirements At least 5+ years of experience in a similar role in the industry Extensive hands on experience with both AWS and GCP in performance-sensitive environments Deep, hands on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP Extensive experience with Terraform at scale Direct experience supporting electronic trading or low latency systems Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams GCP & Cloud Migration Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole tenant nodes Working knowledge of GCP IAM, Organization Policies, and multi-project governance Understanding of multi-cloud networking patterns and cross-cloud security posture management Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events Benefits Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care Options Employer Paid Group Term Life and AD&D insurance Voluntary LTD, Life & AD&D insurance Flexible Vacation policy Retirement plan with employer match Paid Parental Leave Wellness Programs DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Forward Deployed Engineer Full time Hybrid London preferred, UK wide considered Capitol AI builds sovereign intelligence infrastructure for the world's most consequential institutions. A wrong answer here carries regulatory, financial, or national security weight. The platform deploys entirely within customer controlled environments, transforming proprietary data into auditable, repeatable, decision grade artifacts with no data egress and full traceability. We are expanding across the United Kingdom. Our clients span central government departments, City financial institutions, and global professional services firms: environments where precision, discretion, and institutional trust are the baseline, not the benchmark. This Forward Deployed Engineer role is the technical and strategic presence at the point of deployment. You are the person who makes Capitol's infrastructure work inside some of the most demanding and consequential environments in the country. The Role You will own the full deployment lifecycle: from technical integration and workflow configuration through stakeholder enablement and ongoing production support. You will work directly with analysts, compliance teams, procurement leads, and senior executives across UK government agencies, financial institutions, and professional services firms. Some client environments will involve classified or sensitive data handling, and you will be expected to operate with the appropriate levels of rigour and discretion. Responsibilities Partner with enterprise clients to understand their data landscape, business objectives, and technical constraints, translating institutional requirements into governed, production grade AI deployments. Design and deploy agentic AI applications that integrate Capitol's core platform into customer systems and mission critical workflows, including secure and restricted environments. Build connectors, data pipelines, and custom integrations that enable proprietary data to flow securely and efficiently within customer controlled infrastructure. Prototype and deliver new use cases leveraging large language models, retrieval augmented generation, and multi agent orchestration, configured to institutional standards. Serve as a trusted technical advisor across pilots, integrations, and scaled production deployments, navigating complex stakeholder environments with composure and credibility. Collaborate with Capitol's product and engineering teams to surface frontline client insights that shape roadmap priorities and implementation frameworks. Contribute to reusable implementation playbooks, documentation, and best practices that accelerate deployment across UK and EU client accounts. Qualifications 3 to 7+ years of experience in software engineering, data engineering, or applied ML, ideally in a customer facing, consulting, or deployment capacity. Proficiency in Python, TypeScript, or equivalent; hands on experience with APIs, cloud infrastructure (AWS, GCP, or Azure), and data processing pipelines. Direct experience deploying AI technologies including LLMs, RAG architectures, embeddings, and vector databases within complex enterprise environments. Demonstrable ability to work directly with enterprise clients, including C suite, technical leads, and procurement or compliance stakeholders. Comfortable operating autonomously in fast moving, ambiguous environments where the deployment playbook is still being written. Familiarity with regulated or sensitive data environments in financial services, public sector, or defence, and the governance requirements that accompany them. Based in the United Kingdom, with willingness to travel to client sites across the UK and, where required, the EU. Security Clearance SC or DV clearance is a meaningful advantage, particularly for UK government and defence facing deployments, and will determine the scope of environments you are eligible to support. Candidates without existing clearance are welcome to apply. The right profile and eligibility matter more than current status, and sponsorship pathways are available for suitable candidates. Strongly Valued Prior experience working within or alongside UK central government, HMRC, MoD, intelligence community, or equivalent public sector bodies. Background in City financial services, investment management, or regulatory compliance. Experience with global professional services firms (Big Four, strategy consultancies, legal) on technology deployment engagements. Familiarity with UK data sovereignty requirements, GDPR compliance, and AI governance frameworks in regulated industries. Experience with multimodal content generation, document processing, or structured report production at scale. Prior work at an AI, data, or B2B SaaS company, or in a solutions engineering or implementation specialist capacity. What We Offer A front row seat at the deployment frontier of sovereign AI infrastructure: work that matters, in environments where it shows. Direct collaboration with Capitol's founding team, with significant influence over the UK go to market. Hybrid and remote flexible working, with the expectation of regular client site presence across the UK. The opportunity to define implementation standards for one of the fastest growing enterprise AI platforms serving Western sovereign institutions.

CSQ327R39 We're hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium-term customer engagements on their big data challenges using the company platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create "how-to" guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA. Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements. Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys-migrating from legacy platforms and deploying industry-leading data and AI applications on the company platform. Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt the company. Offer advanced support: Serve as an escalation point for operational issues, collaborating with the company Support and Engineering to resolve challenges quickly. Align technical delivery: Partner with cross-functional the company teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met. Amplify product feedback: Provide implementation insights to the company Product and Support teams, guiding rapid improvements in features and troubleshooting for customers. What we look for: Extensive experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of the company-based solutions to complete customer projects. Travel to customers 10% of the time Preferred company certification but not essential Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

the company is a high-growth, cloud-based, SaaS subscription business. Our technology helps our customers to manage their supply chain governance, risk management and compliance. We work across public and private sector and have over 250k customers across the UK across 20 different sectors including construction, transport, retail, hospitality education, facility and property management, manufacturing, local and central government. Role Summary We are seeking an experienced and driven Senior Software Developer to join our technology team. This role involves taking technical ownership of projects, guiding team members through design and development, and contributing to the continuous improvement of our engineering practices. You will play a key role in delivering reliable, scalable, and maintainable software solutions while mentoring junior developers and promoting technical excellence across the team. Job Responsibilities Technical Direction : Provide technical direction and mentorship to junior and mid-level developers, conducting code reviews and supporting their professional growth. Feature Ownership: Take full responsibility for the delivery of features - from technical design and architecture through development, testing, deployment, and monitoring in production. Software Development: Design, build, and optimize high-quality software using modern engineering principles and practices. Automated Testing: Lead by example in writing and maintaining automated unit, integration, and end-to-end tests to ensure stability and reliability. SDLC & Scrum Practices: Actively contribute to and help facilitate the running of our Software Development Life Cycle (SDLC) and Scrum process, including workshops, sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives. Architecture & Design: Pro-actively engage in discussions and decisions around system architecture, scalability, and maintainability. Collaboration: Partner with product managers, designers, and stakeholders to define requirements, refine scope, and deliver impactful solutions. Code Quality & Best Practices: Enforce and improve development standards, ensuring code consistency, maintainability, and adherence to best practices. Continuous Improvement: Champion process and tooling improvements across the engineering organization. Documentation: Ensure technical and architectural documentation is complete, clear, and up-to-date. Required skills and qualifications Experience: Minimum 5+ years of professional software development experience, with proven ability to deliver complex applications in production environments. Back end skills Strong proficiency in C#, Python, and/or Java. Deep experience building and maintaining APIs and integrations using RESTful architectures. Strong understanding of SQL and relational database design (e.g., Microsoft SQL Server). Proficiency with automated testing frameworks (xUnit, NUnit, JUnit, PyTest). Solid experience with CI/CD pipelines, Git, and modern DevOps practices. Front end skills Proficiency in JavaScript and TypeScript. Strong experience with React and/or Angular frameworks. Deep understanding of HTML5, CSS3, and responsive UI/UX principles. Proven ability to integrate front-end applications with back-end RESTful services and APIs. Experience with front-end testing tools such as Testcafe, Playright or Cypress. Comfort with modern build tools and workflows (Webpack, npm, etc.). Leadership and soft skills Proven experience mentoring and supporting junior team members. Strong analytical, architectural, and problem-solving abilities. Excellent communication skills - able to explain complex technical concepts clearly. High sense of ownership and accountability for deliverables. Collaborative and proactive approach to teamwork and stakeholder engagement. Commitment to quality, performance, and maintainability. Preferred qualifications Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with containerization (Docker, Kubernetes) and modern deployment automation. Experience implementing Agile/Scrum best practices in development teams. Understanding of security, scalability, and performance optimization in distributed systems. What we offer As well as a career in a fast paced environment within an expanding business, we also offer the below benefits as standard: Wellness fund or Private Medical Insurance (dependent upon role) Pension Life Assurance x 3 25 days holiday plus 8 Bank Holidays Ongoing continual professional development (CPD) Holiday purchase Scheme up to 5 days 1 paid and 1 unpaid volunteering day 24/7 and 365 Days Employee Assistance Programme Team and company offsite events Specsavers eye care voucher Free Tea, Coffee and fruit every week - Basingstoke office

About the job you are considering We are seeking an experienced Lead Java Developer with CIAM Customer Identity and Access Management expertise to design, develop, and lead the implementation of scalable and secure identity solutions. The ideal candidate will have strong technical leadership capabilities and deep proficiency in modern Java based technologies along with IAM concepts. Hybrid working The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home, noting that you will be unable to work at home 100% of the time. Your Role Lead the design, development, and deployment of robust backend services using Core Java, Spring, and Spring Boot. Architect and implement CIAM solutions ensuring scalability, reliability, and security. Build and maintain RESTful APIs for integration with internal and external systems. Work with Kafka for event driven and streaming architectures. Design and manage data persistence using MongoDB. Develop containerised applications using Docker and manage deployments via Helm and Kubernetes. Collaborate with cross functional teams including security, DevOps, and product teams. Provide technical leadership, mentorship, and code reviews for development teams. Ensure adherence to security best practices, especially around authentication, authorisation, and identity management. Troubleshoot performance issues and optimise system efficiency. Contribute to architectural decisions and roadmap planning. Your Skills 8 years of experience in Java development with at least 2 years in a lead role. Strong expertise in Core Java (Java 8). Experience with the Spring Framework and Spring Boot. REST API development. Hands on experience with Apache Kafka. MongoDB or other NoSQL databases. Docker and containerisation. Helm and Kubernetes deployments. Solid understanding of CIAM/IAM concepts, including OAuth2, OpenID Connect (OIDC), and SAML. Identity lifecycle management. Authentication and authorisation frameworks. Experience designing scalable distributed systems. Strong knowledge of microservices architecture. Familiarity with DevOps practices and CI/CD pipelines. Experience with CIAM platforms such as Azure AD B2C, Okta, Auth0, ForgeRock, or similar. Knowledge of API gateways and security frameworks. Exposure to cloud platforms: Azure, AWS, or GCP. Experience in high availability and high performance systems. Certifications in Java, Cloud, or IAM are a plus. We are a Disability Confident Employer The company is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare that they have a disability. Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you) You'll be joining an accredited Great Place to Work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We have trained Mental Health Champions across each of our business areas and invest in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from the company's "learning for life" mindset, meaning you have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications, and much more. You will be joining one of the World's Most Ethical Companies , as recognised by Ethisphere for 13 consecutive years.

Forward Deployed EngineerApplyremote type: Fully Flexiblelocations: London, United Kingdom: Remote, France: Remote, Germanytime type: Full timeposted on: Posted Todayjob requisition id: R34758 Job Description Forward Deployed Engineer (FDE) - AI & Solutions Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.We're hiring a Forward Deployed Engineer (FDE) to join our Technical Presales team. Where you'll be an elite hybrid: part software engineer, part strategic consultant. You'll do more than just sell the dream, you'll execute what's possible. In this role you'll be embedded with strategic customers to design, build, and deliver production-grade AI solutions that unlock measurable ROI. You'll translate customer needs into robust integrations, architect LLM-powered workflows, and collaborate cross-functionally to turn real-world friction into product improvements.You will play a vital role in growing Zendesk's enterprise footprint by delivering high-impact, scalable AI deployments. Building trusted technical partnerships, delivering crisp, production-ready solutions, and amplifying Zendesk's AI capabilities within complex, high-value accounts. What you'll be doing Lead end-to-end technical delivery of AI agent and LLM-powered solutions: discovery, scoping, system design, PoC, production rollout, and operational handoff. Build production-grade integrations and custom connectors (APIs, data pipelines, RAG systems) to surface high-quality signals into Zendesk AI workflows. Troubleshoot and resolve escalated technical blockers across data, infra, and model behavior. Act as the field's final line of defense for complex issues. Collaborate closely with Sales engineering and product teams to map undocumented systems, define integration patterns, and implement solutions. Translate customer learnings into product feedback and prioritized roadmap items; partner with Zendesk Product and Engineering to reduce future deployment friction. What you bring to the role Founder mindset: comfortable navigating ambiguity, mapping unknown systems, and delivering results without a predefined playbook. Engineering rigor: 5+ years building production systems; strong software engineering fundamentals and attention to quality. Full-stack fluency: experience across frontend (React/TypeScript), backend (Python / Node / Java / Ruby), REST/GraphQL APIs, and cloud infrastructure (AWS, GCP, or Azure). AI/LLM expertise: practical experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), vector stores, and evaluation/guardrails for model safety and reliability. Systems integrator: proven ability to design secure data ingestion, ETL/data pipelines, and work with diverse data stores and message systems. Excellent communicator: able to present trade-offs to executives and pair-program with customer engineers; strong written runbooks and documentation skills. Travel readiness: willing to travel as needed to customer sites (typical range 25-50%). Basic qualifications 5+ years software engineering experience delivering production systems. Proficient in Python and JavaScript/TypeScript; experience with at least one backend language (Java, Ruby, or Go) preferred. Hands-on experience deploying or integrating LLM-based solutions in production (RAG, vector DBs, model evaluation). Practical experience with cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Comfortable working onsite with customers and traveling up to 50% as required. Preferred qualifications Prior FDE, Professional Services, Solutions Engineering, or Technical Account Management experience delivering enterprise AI or SaaS deployments. Experience with specific LLM tooling and frameworks (LangChain, LlamaIndex, Haystack, or similar). Familiarity with Zendesk products and APIs, or experience integrating customer support/contact-center platforms. Background in observability and operationalization of ML/AI (monitoring, SLOs, cost controls, retraining pipelines). Experience with data governance, PII handling, and enterprise security/compliance constraints.: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request. About Us Zendesk is on a mission to simplify the complexity of business and make it easy for companies and customers to create connections.Our customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers. More meaningful moments. Fewer Zoom calls.What's it like to work here? Our offices reflect the global cities we call home, and have spaces for collaboration, quiet, and events.With our hybrid approach, you'll experience flexibility and connection, collaboration, and learning with your team. Recruitment Scam AlertsWe're aware of an increase in recruitment scams where individuals falsely claim to represent Zendesk. These scammers may ask for money or personal information by offering fake job opportunities through e-mail, text message or social media. Please verify the source of any job-related communications carefully. All official Zendesk communications are conducted through email addresses. If you encounter suspicious messages, do not respond and report them to

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user-centred design, agile delivery, and scalable digital services that genuinely make a difference. Visa sponsorship available for eligible candidates Strong focus on work-life balance with a flexible hybrid model (3 days onsite) Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts Based in Swansea, South Wales - three days per week on-site Role Overview We are seeking a highly skilled and experienced Java Developer to lead the design, development, and delivery of scalable, secure, and high-performance enterprise applications. The ideal candidate will possess deep expertise in Java and Spring Boot, strong architectural knowledge, and proven experience leading development teams in delivering large-scale digital solutions. As a technical leader, you will drive engineering best practices, mentor developers, contribute to strategic technology decisions, and collaborate closely with cross-functional stakeholders to ensure successful project delivery. Key Responsibilities Technical Leadership Lead the design, development, and maintenance of enterprise-grade Back End applications using Java (8/11/17+) and Spring Boot. Define and drive technical architecture, coding standards, and development best practices. Provide technical guidance and mentorship to development teams. Conduct code reviews and ensure high-quality, maintainable, and secure code. Collaborate with Solution Architects and Engineering Managers on technology roadmaps and architectural decisions. Application Development Design and implement RESTful APIs and microservices-based solutions. Develop scalable, resilient, and high-performing Back End services. Integrate with internal and external systems through APIs, messaging platforms, and event-driven architectures. Ensure compliance with security, performance, and reliability requirements. Architecture & Design Participate in system architecture, technical design discussions, and solution planning. Drive cloud-native development practices and modernization initiatives. Identify and mitigate technical risks and performance bottlenecks. Ensure scalability, maintainability, and extensibility of software solutions. DevOps & Delivery Support and enhance CI/CD pipelines and automated deployment processes. Collaborate with DevOps teams to implement containerized and cloud-based solutions. Contribute to Infrastructure as Code (IaC) initiatives using tools such as Terraform. Participate in release planning, production deployments, and incident management. Stakeholder Collaboration Work closely with Product Owners, Business Analysts, Architects, QA, and DevOps teams. Translate business requirements into technical solutions. Communicate technical concepts effectively to both technical and non-technical stakeholders. Required Skills & Qualifications Technical Skills 8+ years of hands-on software development experience with Java. Strong expertise in Java and Spring Boot frameworks. Extensive experience designing and implementing microservices architectures. Strong knowledge of RESTful API design and integration. Experience with Hibernate, JPA, and ORM frameworks. Hands-on experience with messaging technologies such as Kafka or RabbitMQ. Experience with cloud platforms including AWS, Azure, or GCP. Strong experience with Docker and Kubernetes. Proficiency with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar. Deep understanding of application security, authentication, authorization, and secure coding practices. Experience with performance tuning, monitoring, and troubleshooting distributed systems. Strong knowledge of Git, branching strategies, and Agile/Scrum methodologies. Leadership Experience Proven experience leading development teams and delivering complex enterprise projects. Ability to mentor developers and foster technical excellence. Experience managing technical deliverables, estimations, and development planning. Preferred Qualifications Experience working within regulated, standards-driven, or public sector environments (eg, GDS-aligned projects). Experience implementing cloud-native architectures and event-driven systems. Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation. Experience with observability and monitoring tools such as ELK, Grafana, Prometheus, or Splunk. Relevant Java, AWS, Azure, GCP, Kubernetes, or architecture certifications. Experience with Domain-Driven Design (DDD) and API-first development approaches. Soft Skills Strong leadership and decision-making capabilities. Excellent analytical and problem-solving skills. Effective communication and stakeholder management abilities. Strong collaboration and team-building mindset. Ability to balance technical excellence with business objectives. Self-motivated with the ability to work independently and lead distributed teams. Nice to Have Experience in digital transformation programs. Exposure to government, healthcare, banking, or other highly regulated industries. Experience leading geographically distributed development teams. Knowledge of AI-assisted development tools and modern software engineering practices.

Software Development Engineering - Sr Professional I About your role At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. As a Software Development Engineering - Sr Professional I, you will play a critical role in designing, developing, and maintaining high-quality software applications. You will work with cross-functional teams to deliver solutions that align with our business goals and client needs. What you'll do Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance. Maintain and improve existing codebases and lead peer review processes. Mentor junior developers and provide technical guidance to enhance team capabilities. Senior Java / Full Stack Developer role within a Fintech real time payments engineering team, building solutions for major global banks. Design, develop, and enhance high performance, scalable real time payment processing systems. End to end ownership across the software development lifecycle, including development, testing, maintenance, and production support. Strong backend expertise in Java 11+ (17/21 preferred), Spring, Spring Boot, and microservices architecture. Reactive and event driven programming using Akka, Kafka, JMS, RabbitMQ, ActiveMQ, with high throughput and low latency requirements. Hands on full stack development, including modern frontend technologies such as Angular, React, JavaScript, and Node.js. Experience building and consuming RESTful / web services, integrating UI layers with backend services. Strong database skills with SQL and relational databases (DB2, Sybase) and exposure to NoSQL (MongoDB). Cloud and DevOps experience using AWS, Docker, Kubernetes, CI/CD pipelines (Jenkins, Sonar), and automated testing tools. Agile, engineering driven culture emphasizing TDD/BDD, Scrum, collaboration, with financial services or payments domain experience as a plus. Experience you'll need to have 4+ years of experience in software development 2+ years of experience in Java, C, C#, C++, or similar programming languages 2+ years of experience in SQL databases 2+ years of experience in AWS, Azure, or GCP services 2+ years of experience with CI/CD pipelines and DevOps practices 2+ years of experience with Agile methodologies 4+ years of an equivalent combination of educational background, related experience, and/or military experience Experience that would be great to have Experience in the financial services industry Our commitment to Diversity and Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

Clearwater Analytics' mission is to become the world's most trusted and comprehensive technology platform for investment reporting, accounting, and analytics. With our team, you will partner with the most sophisticated and innovative institutional investors around the world. If you are infectiously passionate about what you do, intensely committed to clients, and driven by continuous innovation and improvement We want you to apply! This software engineering role joins one of our Alternative Assets Engineering teams - a dedicated group focused on developing solutions for fund analytics and fund research products that support our clients' alternative investment portfolios, including private funds, real estate, and infrastructure. We collaborate closely with investment professionals to create tools that streamline operations, enhance data accuracy, and provide actionable insights. This role is part of an AI-based engineering team, with product and engineering experts working side by side. Some experience in Claude or another AI-based engineering practice, as well as a willingness to work in this way, is what we are looking for in this role. Responsibilities Developing quality software that is used by some of the world's largest technology firms, fixed income asset managers, and custodian banks Participate in Agile meetings to contribute with development strategies and product roadmap Owning critical processes that are highly available and scalable Producing tremendous feature enhancements and reacting quickly to emerging technologies Encouraging collaboration and stimulating creativity Helping mentor entry-level developers Contributing to design and architectural decisions Providing leadership and expertise to our ever-growing workforce Testing and validating in development and production code that they own, deploy, and monitor Understanding, responding to, and addressing customer issues with empathy and in a timely manner Independently can move a major feature or service through an entire lifecycle of design, development, deployment, and maintenance Deep knowledge in multiple teams' domains; broad understanding of CW systems. Creates documentation of system requirements and behavior across domains Willingly takes on unowned and undesirable work that helps team velocity and quality Is in touch with client needs and understands their usage Consulted on quality, scaling and performance requirements before development on new features begins. Understands, finds, and proposes solutions for systemic problems Leads in the technical breakdown of deliverables and capabilities into features and stories. Expert in unit testing techniques and design for testability, contributes to automated system testing requirements and design Improves code quality and architecture to ensure testability and maintainability Understands, designs, and tests for impact/performance on dependencies and adjacent components and services. Builds and maintains code in the context and awareness of the larger system Requirements Bachelor's degree in Computer Science or related field Strong problem-solving skills 4+ years professional experience programming in Java Knowledge of financial markets is essential, experience working in a Private Markets environment is a strong plus Some experience using LLM or AI-based engineering is a strong plus Background in SDLC & Agile practices. Experience in monitoring production systems. Experience with Machine Learning Experience working with Cloud Platforms (AWS/Azure/GCP). Must be able to communicate (speak, read, comprehend, write in English). Desired Experience or Skills Ability to build scalable backend services (Microservices, polyglot storage, messaging systems, data processing pipelines). Possess strong analytical skills, with excellent problem-solving abilities in the face of ambiguity. Excellent written and verbal skills. Ability to contribute to software design documentation, presentation, sequence diagrams and present complex technical designs in a concise manner. Professional experience in building distributed software systems, specializing in big data and NoSQL database technologies is good to have (Hadoop, Spark, DynamoDB, HBase, Hive, Cassandra, Vertica). Strong problem-solving skills. Strong organizational, interpersonal, and communication skills. Detail oriented. Motivated, team player.

Job Title Technical Product Owner (AI/ML Platform) Location London Corporate Title Vice President Overview As the Technical Product Owner for the AI/ML Platform, you will own the vision, roadmap, and delivery of the core engineering and MLOps capabilities that empower our data scientists and developers. You will be the crucial link between the advanced needs of our AI/ML practitioners and the platform engineering teams that build the foundational tools. This role requires a deep technical understanding of the machine learning lifecycle and the ability to translate architectural and data science requirements into a clear, actionable product backlog. Your primary objective is to maximize the velocity, efficiency, and scalability of how AI/ML models are built, deployed, and managed in Credit Risk. What we'll offer you Hybrid working - we understand employee expectations and preferences are shifting. Competitive salary and non-contributory pension. 30 days holiday plus bank holidays, with option to purchase additional days. Life assurance and private healthcare for you and your family. Flexible benefits including retail discounts, Bike4Work scheme and gym benefits. Opportunity to support a wide ranging CSR programme and 2 days volunteering leave per year. Key Responsibilities Define and communicate a clear product vision and roadmap for the AI/ML platform, focusing on technical capabilities such as data pipelines, feature stores, model serving infrastructure, and monitoring frameworks. Create, maintain, and prioritise the product backlog with focus on platform features, architectural enhancements, and developer tooling. Translate complex technical requirements from data scientists and engineers into well defined epics, user stories, and API contracts. Act as the primary technical interface for the platform's users (data scientists, ML engineers, application developers). Partner closely with tech leads and architects to make key design decisions, ensuring scalability, robustness and alignment with enterprise technology standards. Make decisive priority calls balancing new data science capabilities, technical debt reduction, system performance improvement and strategic business initiatives. Own release of new platform features, APIs, and tools. Drive adoption by creating documentation, running demos, and providing support for technical practitioners. Skills & Experience Proven experience as a Technical Product Owner, Platform Product Manager, or senior engineering/architecture role with strong product instincts. Deep technical understanding of the end to end AI/ML lifecycle and associated engineering challenges (MLOps, CI/CD for models, data engineering). Experience working directly with cloud platforms (GCP, AWS, Azure) and containerisation technologies (Docker, Kubernetes). Strong background in software engineering, comfortable discussing APIs, microservices architecture, data schemas, and infrastructure. Proven ability to work in an Agile environment with engineering teams to define and deliver technical products. Excellent communication skills, with ability to articulate complex technical trade offs and decisions to both technical and non technical stakeholders. How we'll support you Training and development to help you excel in your career. A culture of continuous learning to aid progression. A range of flexible benefits you can tailor to suit your needs. Equal Opportunities We welcome applications from all people and promote a positive, fair and inclusive work environment. We value diversity and, as an equal opportunity employer, we make reasonable adjustments for those with a disability (e.g., screen readers, assistive hearing devices, adapted keyboards). If you have a disability, health condition or require adjustments during the application process, please contact our Adjustments Concierge by email.

Summary Salary: Competitive plus comprehensive benefits package Grade: 4 Reporting Line: Head of Integration Engineering and Core Systems Contact Type: Permanent Location: Manchester/London Closing Date: 26th June What to expect The Principal Developer is responsible for defining and driving engineering standards, technical direction, and delivery excellence across the software development function. They provide strategic leadership across multiple teams, working closely with stakeholders to ensure business requirements are understood, shaped, and translated into effective technical delivery. Working with the Product Director, they help set departmental direction, support planning and prioritisation, and ensure the engineering function continues to develop to meet business needs. The role is accountable for creating the conditions for high performance across the department by supporting Lead Developers and wider engineering teams, ensuring people are engaged, performing effectively, and continuously moving forward. As a senior member of the Engineering function, Principal Engineers play a key role in modernising platforms, improving the quality and consistency of delivery, and ensuring the technology estate evolves in line with organisational priorities. This role, initially, will be accountable for the development teams across the the company Payzone channel, however there is also scope for the role to be expanded across other development squads and areas in the future. What we can do for you Our business is changing and we understand that attracting the right talent is pivotal in driving the positive change needed, to help us achieve our ambitious goals. Beyond a competitive salary, we offer a comprehensive benefits package that includes: 27.5 days annual leave (rising to 30 after 2 years), plus bank holidays Up to 18% on target bonus opportunity Annual car allowance Generous pension scheme with minimum 9% employer contribution Access to 24/7 digital GP services and our Employee Assistance Programme 6 x Life assurance and income protection after 12 months service Over 400 online courses, mentoring, apprenticeships, and development programmes Access to our benefits platform for exclusive discounts & savings What you'll need to succeed Extensive experience across multiple programming languages and technology stacks, with the ability to provide technical leadership across a broad software landscape. Familiarity with languages and frameworks such as JavaScript, TypeScript, HTML/CSS, Java, Python, Go, NodeJS, and modern frontend technologies such as React or React Native is advantageous. Proven expertise in defining and governing cloud-native application development, distributed systems, and microservices architecture across multiple teams or products. Proven experience in shaping and embedding Agile methodologies, engineering governance, and best software development practices at a departmental level. Strong understanding of automated testing strategies, CI/CD pipelines, and modern software delivery practices, with the ability to drive consistency and quality across teams. Deep knowledge of software design principles, architectural patterns, and engineering best practices, with the ability to apply them pragmatically across a wide range of technical challenges. Strong understanding of API design, integration patterns, database technologies, security principles, and non-functional requirements such as scalability, resilience, and performance. Proven expertise in DevOps practices, platform engineering, and modern cloud environments such as AWS, Azure, or GCP, with the ability to influence technical direction and adoption. Significant leadership experience across technical teams, with the ability to support, coach, and develop Lead Engineers and other senior engineering colleagues. Strong stakeholder management and communication skills, with the ability to work effectively with senior leaders, product teams, and technical teams to align engineering delivery with business goals. Experience in setting engineering standards, shaping technical strategy, and contributing to long term roadmaps that support organisational objectives. EEO Statement Our commitment to embracing diversity extends beyond just words. We are a Disability Confident Employer and value diverse perspectives. If you require reasonable adjustments throughout the recruitment process or would like further details on the job description, please contact . Unfortunately, we are unable to provide individual feedback on all submissions.