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# Principal Software Engineer Team:Technology - UK Location:Leeds Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.We're looking for an exceptional Principal Engineer to help shape the future of engineering at PEXA UK.This is one of the most influential technical roles within our organisation. Working closely with the UK CTO and engineering leadership team, you'll define technical strategy, drive architectural decisions, champion innovation, and help build the engineering capabilities that support our next phase of growth.As a technical leader, you'll operate across multiple teams, influencing engineering direction at an organisational level rather than within a single product or platform. You'll mentor engineers, establish engineering standards, evaluate emerging technologies, and ensure we're building secure, scalable and resilient solutions that deliver outstanding customer outcomes.You'll also play a key role in advancing how we leverage AI across both our products and engineering practices, helping PEXA stay at the forefront of technology innovation. Why become a PEXArian? Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Sounds like you? We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at Cifas . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . What You'll Be Doing Technical Strategy & Architecture+ Define and execute engineering strategy across multiple teams and domains.+ Drive architectural decisions that balance business priorities, scalability, security and long-term sustainability.+ Design solutions that support future growth and evolving customer needs.+ Identify and address technical risks across the organisation. Engineering Excellence- Establish and evolve engineering standards, best practices and quality frameworks.- Drive improvements in performance, reliability, security and developer productivity.- Champion modern software engineering principles and continuous improvement.- Support the evolution of platform, infrastructure and service architecture. AI & Emerging Technology Lead the evaluation and adoption of emerging technologies and AI capabilities. Drive the integration of AI tools and practices that enhance engineering effectiveness. Explore and implement modern AI-powered development workflows, coding assistants and agentic systems. Help shape PEXA's approach to AI innovation and organisational adoption. Leadership & Mentorship+ Mentor and coach engineers across all levels, from emerging talent to senior technical leaders.+ Foster a culture of technical excellence, curiosity and continuous learning.+ Lead technical discussions, knowledge-sharing initiatives and engineering communities of practice.+ Contribute to hiring and technical assessment processes. Collaboration & Business Impact- Partner with Product, Design and Business leaders to align technical strategy with organisational goals.- Translate business objectives into technical roadmaps and engineering outcomes.- Influence decision-making at executive level through clear communication and technical insight.- Represent PEXA externally within the technology community and industry forums. About YouYou're a highly experienced technologist who combines deep technical expertise with strategic thinking and business acumen.You thrive on solving complex problems at scale, influencing engineering direction, and helping others grow.You'll bring:+ Significant experience designing and delivering large-scale distributed systems.+ A track record of defining technical strategy and driving organisation-wide engineering outcomes.+ Strong experience working across multiple teams, platforms and stakeholders.+ Proven ability to balance technical excellence with commercial priorities.+ Exceptional communication skills and the ability to influence at all levels of the organisation. Technical ExpertiseYou'll bring deep expertise across modern software engineering practices and technologies, including:- Node.js, Python and Kotlin- Modern frontend technologies- Cloud platforms such as AWS and Azure- Microservices and distributed architectures- Containerisation and cloud-native development- Security architecture and secure software development practices- Performance, scalability and reliability engineeringYou'll also have a strong interest in the rapidly evolving AI landscape, including: AI-assisted software development tools such as GitHub Copilot, Claude, Cline and Amazon Q Agentic AI frameworks and orchestration platforms Modern approaches to context engineering and AI-enhanced developer productivity Evaluating and adopting emerging AI technologies within engineering organisations Nice to Have+ Experience within financial services, property technology or other regulated industries.+ Exposure to DevSecOps, Site Reliability Engineering (SRE) or Platform Engineering environments.+ Knowledge of AI frameworks and technologies including Anthropic Claude, LangGraph, Hugging Face, LiteLLM or Pydantic AI.Apply for this job

Role - Senior Enterprise Architect Technology - Enterprise Architect/Segment lead Location - UK/Europe Business Unit - STG Compensation - Competitive (including bonus) Job Description AI-First Solutioning, Human + Agent Ways of Working & Large-Scale Modernisation Your role This is a senior strategic role within the Enterprise Strategic Architecture practice, focused on defining and delivering next generation digital transformation programs for leading global organisations. The successful candidate will bring together deep technology expertise and strong business acumen to help clients navigate complex, large scale modernisation initiatives. As AI becomes central to how enterprises transform, this role is expanding in scope: the architect must be equally comfortable designing cloud native platforms, structuring human and agent collaborative workflows, and embedding AI driven capabilities as first class components of the overall solution. You will collaborate closely with sales and delivery teams across the full programme lifecycle - from shaping solutions during presales through to governing technical quality in delivery. You will engage with CDOs, CTOs, and senior digital leaders at client organisations, contribute to industry thinking through published viewpoints and speaking engagements, and play an active role in identifying emerging technology opportunities that can be developed into compelling propositions for the market. Responsibilities Strategic Thinking - Candidate can articulate where AI agents replace human tasks vs. augment them in a $10M+ transformation context. Can draw a human+agent operating model for a business process - showing handoff logic, oversight points, and accountability chains. Understands that LLM inference is now a line item in programme budgets and can estimate it at ROM level for a given use case volume. Design Depth - Has personally designed or reviewed an agentic system in production - e.g. a multi step reasoning pipeline, an autonomous code review agent, or a RAG powered enterprise knowledge layer. Can explain prompt architecture decisions (system prompt structuring, context compression strategies, few shot vs. zero shot trade offs) and how these affect both quality and cost. Understands model selection trade offs - when to use frontier models vs. fine tuned smaller models vs. cached completions. Token Optimization Fluency - Has operationalised token efficiency at scale - structured prompt libraries, semantic caching, chunk sizing for RAG pipelines, output length controls, batching strategies. Can model cost per transaction for an AI enabled workflow and present that as part of a business case. Understands how token spend interacts with context window limits across model families (GPT 4o, Claude, Gemini) and can make architecture trade offs accordingly. Must Have Skills Agentic architecture design - Multi agent orchestration, tool use design, human in the loop checkpoints, agent failure modes and recovery Human + agent workflow design - Task decomposition across human and AI agents; escalation paths; accountability mapping in regulated environments Expertise in leveraging coding agents - GitHub Copilot, Claude, Devin.ai and similar - to accelerate software delivery within a structured, governed engineering lifecycle Design and governance of automated delivery pipelines using tools such as Harness, GitHub Actions, ArgoCD and Tekton; trunk based development, progressive delivery and release automation Full stack application development - Architecture and delivery of modern full stack applications; proficiency across frontend frameworks, API layers, backend services, and data tiers at enterprise scale Modern CI/CD & delivery pipelines - Design and governance of automated delivery pipelines using tools such as Harness, GitHub Actions, ArgoCD and Tekton; trunk based development, progressive delivery and release automation High scalability integration - Architecting event driven and streaming integration at scale using Apache Kafka and Kafka Streams; asynchronous messaging patterns, schema registries, and real time data pipelines across distributed systems NoSQL & enterprise data platforms - Design of polyglot persistence architectures spanning NoSQL stores (MongoDB, Cassandra, DynamoDB), enterprise caching layers (Redis, Hazelcast, Memcached) and search platforms (Elasticsearch, OpenSearch) Hyperscaler resilience patterns - Building highly available, fault tolerant solutions on AWS, Azure and GCP - multi region active/active, chaos engineering, SRE practices, availability zone failover, and disaster recovery at cloud scale Token economics & LLM costing - Prompt compression, context window sizing, model tier selection, cost per transaction modelling at enterprise scale AI TCO & commercial modelling - Inference cost projections, build vs buy for foundation models, ROI framing for AI augmented delivery Digital transformation leadership - AI native programme design spanning cloud, integration, agentic capability layers and responsible AI governance Enterprise integration patterns - Streaming, API, event driven and real time patterns extending to RAG, vector stores, embedding services and LLM APIs as first class integration nodes Chief Architect leadership - Governing cross domain architect teams while managing AI risk, hallucination mitigation and responsible AI policy at programme level Multi cloud architecture (15+ yrs) - Hybrid IaaS/PaaS, multi az/region, IaC automation first, DevSecOps, K8s orchestration Influencing & stakeholder leadership - Builds and sustains networks across organisational boundaries through credibility and influence rather than authority; aligns diverse stakeholders - engineering, business, and executive - around a shared technology direction and drives teams to deliver outcomes in complex, matrixed environments CXO communication - Articulates at the right level of abstraction and detail from developer to board level Preferred Should be an excellent planner when it comes to release planning and other delivery planning. Should have excellent problem solving skills. Responsible for coaching and mentoring team members. BFSI/FS domain experience. Personal High analytical skills. High customer orientation. High quality awareness. Equal Opportunity Employer All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Role Summary Oxford Dynamics seeks a Senior Technical Project Manager to own end to end delivery of AI driven software programmes, coordinating multi team execution from scope and planning through production launch with clear SLAs, budgets, and timelines. The role bridges cutting edge AI research and practical deployment, ensuring agentic/LLM features ship safely, on time, and to quality in regulated environments where security and compliance matter. Key Responsibilities Lead multi project roadmaps managing scope, budgets, risks, RAID, milestones, and change control to deliver on time and within cost. Run Agile ceremonies (Scrum/Kanban), track burn up/burn down, and drive decisions with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers, and stakeholders. Orchestrate delivery of AI features spanning LLMs, RAG, and multi agent workflows from ingestion to inference, including offline/edge constraints where required. Partner with Tech Leads to make trade offs in design and architecture, aligning research prototypes with production requirements and service levels. Coordinate release readiness across testing, evaluation, and go live plans. Align engineering and DevOps on environments, observability, and incident response, ensuring deployments are auditable, cost aware, and reversible. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance, and compliance requirements. Own risk mitigation for compliance and security constraints typical of regulated sectors, escalating early with clear options and impacts. Translate product goals into executable backlogs and milestones, sequencing dependencies across AI, frontend, backend, and platform teams. Review GitHub PRs alongside Tech Leads to validate scope, surface trade offs, and maintain momentum without compromising quality. Represent Oxford Dynamics with customers and partners, including contributions to bids and programme inputs where needed. Drive adherence to security and quality management processes appropriate to regulated domains such as defence, aerospace, healthcare, and finance. Ensure projects maintain audit evidence for decisions, testing, and releases, with recovery plans and responsibilities defined prior to go live. Qualifications 5+ years managing software and AI programmes with multiple stakeholders, delivering production releases in fast moving environments. Proven delivery across teams using React and Python stacks (e.g., Django, FastAPI, Flask) or equivalent modern frameworks. Hands on experience coordinating projects that integrate LLMs, RAG, and related AI components into shipped products. Strong scope, requirements, and budget control; confident discussing technical trade offs and reviewing PRs with engineers. Experience in regulated environments with security and compliance responsibilities across the delivery lifecycle. SC clearance or eligibility for UK national security vetting as required by programmes. Preferred / Bonus Portfolio of shipped AI/robotics/software projects with measurable outcomes and references to regulated work where applicable. Knowledge of data security and accreditation processes; experience with offline/edge solutions or constrained deployments. Comfort presenting to senior stakeholders and contributing to business development activities and bids. Soft Skills High agency ownership from concept to launch, with a bias to clarity, iteration, and decision making under uncertainty. Excellent communication across technical and non technical audiences, enabling fast, safe progress across disciplines. Calm, structured problem solving during incidents and changing constraints, with clear follow through on actions and learning. Benefits Salary: negotiable based on experience and attitudes. Rapid career progression with meaningful ownership of core systems. Opportunity to shape the future of a fast growing, successful, early stage business. Flexible working hours. Hybrid working model. Company pension (UK Government NEST scheme) with company contributions at 4%. Private healthcare. 29 days holiday in addition to public holidays (Full Time Equivalent). Inclusive team experience for all; we believe our work is at its best when everyone feels free to be their authentic self.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. We're hands on with emerging technologies - exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Software engineers with a passion for AI - or data scientists who've embraced engineering. People who experiment, prototype, and explore emerging AI tools in their own time. Strong foundation in a language suited to AI system development and data workflows. Experience integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud native (AWS / GCP / Azure) and DevOps / DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Benefits Life At PA encompasses our people's experience at PA. It's about how we enrich people's working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK As a Staff Software Engineer on Ripple's Authentication and Authorization platform team, you'll help shape how identity works across our growing portfolio of payment, custody, and liquidity products. Our products have grown up using different identity providers and protocols, and we're now bringing them together into a unified, consistent experience - while also building the fine-grained authorization primitives that teams across Ripple rely on every day. HOW WE WORK AI tooling is core to how our team works day-to-day - coding assistants, LLM-based workflows, and agentic tools across design, development, and operations. We're looking for people who already use these fluently, not just curious about them. WHAT YOU'LL DO Set the technical direction for Ripple's identity platform, including authentication flows, federation across multiple identity providers, and fine-grained authorisation Lead the design and delivery of a unified identity experience across Ripple's product portfolio Build and operate platform services on Kubernetes, with a focus on reliability, observability, and secure secret management Partner with security, compliance, and product teams to translate regulatory requirements into platform capabilities Write clear technical proposals and contribute to architecture discussions across the engineering org Mentor engineers on the team through code review, design feedback, and collaboration WHAT YOU'LL BRING Backend engineering experience in Golang or Java, including building and operating production applications within Kubernetes environments Experience designing or contributing to identity systems, ideally in a multi-tenant or federated context Hands-on experience using AI coding assistants and LLM-based tools as part of your day-to-day engineering workflow Experience collaborating across teams and writing design documents that build alignment NICE TO HAVE Familiarity with modern authentication protocols such as OAuth 2.0, OIDC, and SAML, and how they behave in production Experience with policy-as-code approaches to authorization (attribute-based, relationship-based, or hybrid) WHO WE ARE Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anytime style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

FX STIRT Technology - Senior Software Engineer (SVP)Applyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: FX Client & Sales Technology - Senior Software Engineer (SVP) The STIRT Engineering Lead is a London-based Senior Vice President responsible for the hands-on design, architecture, and implementation of the full front-to-back technology platform supporting the STIRT business. This role sits at the intersection of engineering excellence and business partnership, requiring deep engagement with traders, quants, and stakeholders across FX and Rates desks.The role demands a technically deep, hands-on engineering leader with strong expertise in capital markets systems, responsible for driving the strategic evolution of STIRT technology - spanning curve construction, RFQ and pricing workflows (for FX and Interest Rate Derivatives) - while managing a globally distributed engineering team. The successful candidate will own the end-to-end technology vision for STIRT, eliminating fragmentation across trading units and delivering a modern, high-performance, resilient platform that enables traders to operate with speed, precision, and confidence. Central to this vision is the active adoption and integration of AI and machine learning capabilities to augment trader workflows, accelerate engineering productivity, and unlock new analytical possibilities across the STIRT business. About Citi As the world's most global bank, Citi gives you the tools to be a trailblazer. We're not just building technology; we're building the future of banking. With thousands of employees located around the globe, we are an international team encompassing a broad range of teams, roles, and cultures, and we invite you to come and join us!Citi's technology team supports business operations in 100+ countries, across multiple lines of business spanning both Institutional and retail businesses.The group works to optimize the IT environment by standardizing production platforms, reducing complexity, and introducing innovative solutions that provide new business capabilities, reduce total cost of ownership, and create a competitive advantage for Citi.We want to regularly engage with talented individuals who are passionate about producing clean, testable code as part of a high performing team. We have found this to be way more important than experience in the financial sector.We welcome applications from any industry and should you wish to apply your application will be reviewed for a multitude of Developer positions at varying levels. About FX Tech Citi FX has a physical presence in 83 countries with 1,400 dedicated staff giving us the largest FX presence of any bank globally. Foreign Exchange has been one of the defining businesses of Citi for much of its 200 year existence.Citi has the largest FX presence of any bank globally and we proudly put this down to delivering unrivalled service and insight to our clients. Increasing investment in technology has seen us roll out award winning applications. Technology is a central pillar for our plans to sustain and grow our FX business.Above all, we seek individuals who seek exceptional attitude and aptitude in the people they work with and have a demonstrated passion for delivering FX technology in support of our FX business. Role Overview/What will you do: Trader Engagement & Stakeholder Management Serve as the primary technology partner for STIRT traders , building trusted relationships and acting as the first point of contact for all technology needs across FX and Rates desks Conduct regular structured engagement sessions with traders to capture workflow pain points, prioritise enhancements, and translate business requirements into actionable engineering deliverables Partner with Desk Heads, Quants, Sales, Operations, and Risk to ensure technology solutions are aligned with front-to-back business objectives Communicate technical strategy, delivery progress, and risk in clear, business-relevant terms to senior stakeholders including Trading Management and Technology leadership Represent STIRT Technology in cross-functional forums, governance committees, and strategic planning sessions Develop and maintain a comprehensive understanding of the full STIRT front-to-back workflow Strategic Architecture & Design Define and own the target-state technical architecture for the STIRT platform, covering all components from market data ingestion through to trade booking and risk reporting Lead architectural decisions on system decomposition, data flow design, API contracts, event-driven patterns, and integration with upstream/downstream systems Drive the modernisation and consolidation of legacy STIRT systems, establishing a clear migration roadmap that minimises disruption to live trading Evaluate and govern technical trade-offs across build vs. buy, latency vs. throughput, consistency vs. availability, and monolith vs. microservices dimensions Ensure the architecture meets both functional requirements (pricing accuracy, workflow completeness, feature richness) and non-functional requirements (latency, throughput, resilience, observability, security, and regulatory compliance) AI Tools Usage & Adoption Champion the strategic adoption of AI and Generative AI tools across the STIRT engineering organisation, identifying high-value use cases that meaningfully improve trader workflows, engineering productivity, and analytical capabilities Drive the evaluation, piloting, and scaled deployment of AI-assisted development tools (e.g., code generation, automated code review, test generation) to accelerate delivery velocity and improve code quality across the team Actively participate in hands-on development , including writing, reviewing, and architecting production-grade code for high-performance, low-latency trading systems Team Leadership & Delivery Manage and mentor a globally distributed team of engineers Conduct performance evaluations, support career development, and lead hiring and disciplinary processes Integrate in-depth knowledge of applications development with the broader Technology function to achieve established goals Key Skills and Experience required Experience Extensive experience in software engineering within capital markets or financial services, with significant hands-on development experience in high-performance, distributed systems Proven hands-on expertise in building low-latency, high-throughput trading systems - capable of writing, reviewing, and debugging production code alongside the team Deep domain knowledge of markets businesses - including Short-Term Interest Rates, FX, or broader FX and Rates/Credit markets - with a strong understanding of curve construction, RFQ/pricing workflows, and electronic trading Proven track record of defining and delivering strategic architecture for large-scale, mission-critical financial platforms, including system modernisation and legacy decommissioning programmes Experience managing and mentoring global engineering teams across multiple time zones Strong background in stakeholder management and trader engagement , with the ability to translate complex technical concepts into business-relevant language Demonstrable experience evaluating, adopting, or delivering AI/ML capabilities within a financial services or trading technology context, including familiarity with model governance and responsible AI practices Technical Skills Strong proficiency in Java - including core Java (JVM internals, concurrency, memory management), modern frameworks (Spring Boot), and experience building low-latency, high-throughput applications Proven system design and architecture skills - including large-scale distributed systems, microservices, event-driven architectures, and real-time data pipelines (e.g., Solace, KDB, in-memory data grids such as Couchbase) Market data and pricing systems - experience with real-time market data feeds, curve construction engines, and pricing libraries AI/ML tooling and frameworks - working knowledge of LLM APIs, agentic frameworks, ML inference pipelines, and AI-assisted development tools (e.g., GitHub Copilot, Devin or Claude Code, or equivalent); experience integrating AI capabilities into production systems is strongly preferred Familiarity with CI/CD pipelines, DevOps practices, cloud-native technologies , and containerisation (Docker/Kubernetes) Working knowledge of observability tooling - distributed tracing, metrics, and log aggregation (e.g., Prometheus, Grafana, Splunk, OpenTelemetry) Leadership & Communication Demonstrated ability to remain hands-on as a technical leader - capable of diving into code, debugging production issues, and driving architectural decisions alongside the team Strong stakeholder management skills - experienced in influencing and negotiating with senior leaders across Technology and the Business A growth mindset towards AI - actively curious about emerging AI capabilities and able to inspire the same curiosity and rigour in the broader engineering teamThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more . click apply for full job details

Role - Senior Enterprise Architect Technology - Enterprise Architect/Segment lead Location - UK/Europe Business Unit - STG Compensation - Competitive (including bonus) Job Description AI-First Solutioning, Human + Agent Ways of Working & Large-Scale Modernisation Your role This is a senior strategic role within the Enterprise Strategic Architecture practice, focused on defining and delivering next-generation digital transformation programs for leading global organisations. The successful candidate will bring together deep technology expertise and strong business acumen to help clients navigate complex, large-scale modernisation initiatives. As AI becomes central to how enterprises transform, this role is expanding in scope: the architect must be equally comfortable designing cloud-native platforms, structuring human and agent collaborative workflows, and embedding AI-driven capabilities as first-class components of the overall solution. You will collaborate closely with sales and delivery teams across the full program lifecycle - from shaping solutions during presales through to governing technical quality in delivery. You will engage with CDOs, CTOs, and senior digital leaders at client organisations, contribute to industry thinking through published viewpoints and speaking engagements, and play an active role in identifying emerging technology opportunities that can be developed into compelling propositions for the market. Responsibilities Strategic Thinking - Candidate can articulate where AI agents replace human tasks vs. augment them in a $10M+ transformation context. Can draw a human+agent operating model for a business process - showing handoff logic, oversight points, and accountability chains. Understands that LLM inference is now a line item in program budgets and can estimate it at ROM level for a given use case volume. Design Depth - Has personally designed or reviewed an agentic system in production - e.g. a multi-step reasoning pipeline, an autonomous code review agent, or a RAG-powered enterprise knowledge layer. Can explain prompt architecture decisions (system prompt structuring, context compression strategies, few-shot vs. zero-shot tradeoffs) and how these affect both quality and cost. Understands model selection tradeoffs - when to use frontier models vs. fine-tuned smaller models vs. cached completions. Token Optimization Fluency - Has operationalised token efficiency at scale - structured prompt libraries, semantic caching, chunk sizing for RAG pipelines, output length controls, batching strategies. Can model cost-per-transaction for an AI-enabled workflow and present that as part of a business case. Understands how token spend interacts with context window limits across model families (GPT-4o, Claude, Gemini) and can make architecture trade-offs accordingly. Must Have Skills Agentic architecture design Multi-agent orchestration, tool-use design, human in-the-loop checkpoints, agent failure modes and recovery Human + agent workflow design Task decomposition across human and AI agents; escalation paths; accountability mapping in regulated environments Expertise in leveraging coding agents - GitHub Copilot, Claude, Devin.ai and similar - to accelerate software delivery within a structured, governed engineering lifecycle Design and governance of automated delivery pipelines using tools such as Harness, GitHub Actions, ArgoCD and Tekton; trunk-based development, progressive delivery and release automation Full-stack application development Architecture and delivery of modern full-stack applications; proficiency across frontend frameworks, API layers, backend services, and data tiers at enterprise scale Modern CI/CD & delivery pipelines Design and governance of automated delivery pipelines using tools such as Harness, GitHub Actions, ArgoCD and Tekton; trunk-based development, progressive delivery and release automation High-scalability integration Architecting event-driven and streaming integration at scale using Apache Kafka and Kafka Streams; asynchronous messaging patterns, schema registries, and real-time data pipelines across distributed systems NoSQL & enterprise data platforms Design of polyglot persistence architectures spanning NoSQL stores (MongoDB, Cassandra, DynamoDB), enterprise caching layers (Redis, Hazelcast, Memcached) and search platforms (Elasticsearch, OpenSearch) Hyperscaler resilience patterns Building highly available, fault-tolerant solutions on AWS, Azure and GCP - multi-region active/active, chaos engineering, SRE practices, availability zone failover, and disaster recovery at cloud scale Token economics & LLM costing Prompt compression, context window sizing, model tier selection, cost-per-transaction modelling at enterprise scale AI TCO & commercial modelling Inference cost projections, build-vs-buy for foundation models, ROI framing for AI-augmented delivery Digital transformation leadership AI-native program design spanning cloud, integration, agentic capability layers and responsible AI governance Enterprise integration patterns Streaming, API, event-driven and real-time patterns extending to RAG, vector stores, embedding services and LLM APIs as first-class integration nodes Chief Architect leadership Governing cross-domain architect teams while managing AI risk, hallucination mitigation and responsible AI policy at program level Multi-cloud architecture (15+ yrs) Hybrid IaaS/PaaS, multi-az/region, IaC automation first, DevSecOps, K8s orchestration Influencing & stakeholder leadership Builds and sustains networks across organisational boundaries through credibility and influence rather than authority; aligns diverse stakeholders - engineering, business, and executive - around a shared technology direction and drives teams to deliver outcomes in complex, matrixed environments CXO communication Articulates at the right level of abstraction and detail from developer to board level Preferred Should be excellent planner when it comes to perform release planning and other delivery planning. Should have excellent problem-solving skills Responsible for Coaching and mentoring team members BFSI/FS Domain exp Personal High analytical skills High customer orientation High quality awareness All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Job Description At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. About the Role The Treasury team manages Remitly's global funding operations - optimising liquidity positions, managing funding corridors, and ensuring capital is available wherever it's needed. Reporting to the Head of Treasury Analytics & Data Science (London), this London-based (hybrid) role sits at the intersection of LLMs, Treasury operations, and data infrastructure. We're looking for a builder who moves fast from idea to production - someone who can own agentic systems end-to-end and directly increase the operational capacity of the Treasury team. You Will Build Cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies. Funding execution agents: instruction routing, approval workflows, payment scheduling, cut-off monitoring, and settlement tracking - encoded with business rules and risk parameters. Narrative agents: auto-generated end-of-day and intraday funding commentary, exception summaries, and context-aware alerts delivered to the right stakeholders. Discovery-to-deployment pipeline: structured sessions with Funding operators to identify manual tasks, then ship agents that eliminate them - reporting packs, utilisation dashboards, liquidity summaries. Embed within the Funding team at the outset - running existing workflows end-to-end alongside operators to develop a first-hand understanding of day-to-day processes, limitations, and pain points before a single agent is scoped or built. Agent Infrastructure & Growth Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors. Contribute to Treasury-wide agent governance standards, evaluation frameworks, and shared infrastructure. Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve. Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents You Have Advanced proficiency with coding agents across complex development scenarios Experience architecting multi-service systems, including complex persistence, integrations, and scaling Understanding of distributed systems tradeoffs and cloud-based infrastructure design AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines Advanced systems architecture expertise across the full technology stack Proficiency in customer discovery techniques and ability to connect technical work to business outcomes Competence with design thinking, analytics tools, and funnel analysis Experience guiding others on AI-first development approaches Expertise in experiment modelling, funnel analysis, and data-informed decision making Track record of mentoring others and elevating team capabilities Nice to Have Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity). LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba). Startup, founder, or cross-functional multi-product experience. Our Benefits Paid Vacation Days Health insurance Commuter benefit Employee Stock Purchase Plan (ESPP) Mental Health & Family Forming Benefits Continuing education and corridor travel benefits Our Connected Work Culture: Driving Innovation, Together At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most. Remitly is an E-Verify Employer At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations. Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Anaplan is the leading enterprise decision making platform, powering the world's largest enterprises with its proprietary Hyperblock technology and cloud infrastructure. We are seeking a Sr. Principal Engineer to join our team in Manchester, UK. Your Impact Lead the design, delivery, and architecture of platform capabilities powering Anaplan's enterprise scale API gateways, edge routing, and developer acceleration. Build and scale high throughput backend engines that manage core request orchestration, seamless multi tenant isolation, and API first solutions serving thousands of tenants and tens of thousands of users. Partner with architects and senior engineers across the Platform Experience domain to set technical direction, aligning implementation patterns for complex initiatives (like Vanity URLs, JWT auth flows, and cross service proxying). Drive the evolution of our deployment infrastructure, championing modern GitOps workflows (ArgoCD, Helm) and highly available containerized orchestration. Own foundational features end to end-from design through to production-while continuously improving system observability, implementing intelligent rate limiting, and solving complex concurrency challenges (e.g., database locks and connection starvation). Deliver thought leadership and coding excellence across Java/Kotlin, ensuring seamless integration between backend microservices and UI components (including resolving complex CORS and distributed edge proxy requirements). Mentor and elevate engineers across global teams through design reviews, pair programming, and hands on leadership to foster a resilient engineering culture. Your Qualifications Extensive background in software engineering within enterprise scale, high throughput platform or data centric environments. Understand, leverage, and integrate modern AI tools and concepts-including agentic programming patterns and LLM assisted workflows-to accelerate platform engineering and developer velocity. Deep expertise in backend JVM languages (Java and/or Kotlin) with a strong understanding of distributed systems internals. Proven track record of delivering API first infrastructures, API Gateways (e.g., Traefik), and edge routing solutions that guarantee enterprise reliability under sustained traffic loads (2K+ requests per second). Hands on experience with Kubernetes, containerized deployments, and managing complex CI/CD pipelines (strong familiarity with GitOps, ArgoCD, and high velocity release workflows). Solid grounding in event driven architecture, real time data processing, and managing complex database transaction scopes at scale. Experience balancing rapid prototyping and fast iteration with long term sustainability and quality-you have a bias for action and prefer to try and iterate rather than wait for perfect information. Exceptional technical communicator with a proven ability to align globally distributed teams. You are highly skilled at distilling complex concepts into clear, structured RFCs and architectural designs to build consensus. Understand, leverage, and integrate modern AI tools and concepts-including agentic programming patterns and LLM assisted workflows-to accelerate platform engineering and developer velocity. Preferred Skills You have shaped architecture and platform strategy at an enterprise scale, navigating the trade offs of hybrid and cloud agnostic infrastructures. You bring a polyglot mindset, matching the right technology to the challenge rather than defaulting to a single stack (comfortable exploring React, Python, or Go when needed). Genuine curiosity-you're energized by learning new technologies and approaches to solve edge routing and platform enablement challenges. You enjoy mentoring others and raising the bar for engineering culture, without big egos. You're highly comfortable operating in distributed teams, embracing asynchronous collaboration, and driving consensus across distinct domains. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Looking for a role with plenty of growth opportunities? Join one of the world's leading IT services, consulting, and business solutions organization. Founded in 1968, the company consistently ranks among the top global IT service providers. With a presence in over 50 countries, the company has built a reputation for delivering high-quality technology services across industries including banking, healthcare, telecommunications, and retail. Ready to make a move? Get in touch and apply today! Key Responsibilities Define AI architecture vision, standards, and roadmaps Design end-to-end AI solutions (data, models, deployment, monitoring) Build API-first, event-driven, and microservices-based integrations Implement MLOps/LLMOps pipelines (CI/CD, governance, versioning) Ensure security (IAM, zero trust) and system observability Select appropriate AI/ML frameworks, tools, and cloud services Essential Skills (7+ years) Experience with agentic AI architectures and multi-agent systems Strong knowledge of LLMs, RAG, embeddings, and prompt engineering Hands-on with orchestration frameworks (eg, LangGraph, MCP) Experience integrating AI into enterprise systems (APIs, data pipelines) Understanding of AI quality metrics and model governance Cloud experience (GCP preferred or similar) Desirable MLOps/AgentOps experience Financial services or regulated environment experience Knowledge of AI risk, governance, and compliance Location London, Manchester, Bristol, Leeds, Edinburgh Hybrid - 2 days onsite Duration 6 months Rate £550/day

AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent £50,000 - £99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic / autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (e.g. LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs / Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand at

Quality Engineer - AI Platform Engineering Employment Type: Inside IR35 Contract Duration: 6 Months Rate: £650 - £750/ Day Location: Central London, Hybrid (3 Days Onsite per Week) Opportunity Overview A global organisation is building a centralised AI enablement and platform engineering function focused on delivering scalable, secure, and governed AI capabilities across the enterprise. This role sits within a programme delivering enterprise-grade agentic AI infrastructure, including internal AI assistants, retrieval and search services, extensibility frameworks, and governance tooling. Programme Overview The programme is focused on delivering a production-grade internal agentic AI platform, including: Development of an enterprise AI assistant capable of reasoning, planning, and tool orchestration Operation of enterprise retrieval, search, and grounding services for approved data sources Delivery of a secure internal gateway layer providing discovery, observability, policy enforcement, and lifecycle management for AI-integrated services Design and development of AI-integrated services and reusable capabilities that safely expose internal and third-party systems to AI agents Establishment of evaluation, governance, and quality-control frameworks to support scalable and compliant deployment of AI capabilities The programme currently follows a centrally delivered model while evolving towards a federated contribution approach over time. Key Responsibilities Define and implement evaluation frameworks covering correctness, safety, reliability, and regression impact for AI-integrated services Develop and maintain automated test pipelines for agentic workflows, including tool orchestration and multi-step execution paths Identify, evaluate, and mitigate AI system failure modes such as hallucinations, invalid inputs, latency issues, and inappropriate tool usage Produce testing and governance evidence required for internal approval and operational processes Collaborate closely with ML Engineers and platform teams to embed testability and evaluation capabilities into AI services Contribute to the long-term quality assurance and governance strategy for enterprise-wide AI platform adoption Essential Skills and Experience Strong Python development experience, particularly for automation and test frameworks Experience with LLM and RAG evaluation tooling, frameworks, or custom evaluation pipelines Expertise in automated testing across unit, integration, and regression testing environments Good understanding of agentic AI systems, associated risks, and operational failure modes Ability to assess technical solutions against governance, audit, and security requirements Experience working within regulated or highly governed engineering environments What's on Offer Opportunity to contribute to large-scale enterprise AI transformation initiatives Exposure to cutting-edge AI platform engineering and governance challenges Collaborative environment working alongside platform engineers, ML specialists, and architecture teams Influence over the development of long-term AI quality and governance standards Opportunity to shape scalable AI engineering practices within a complex enterprise environment