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Swansea, United Kingdom Posted on 28/05/2026 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. Why This Opportunity Stands Out Work on a high impact UK public sector digital programme, delivering services used by millions Opportunity to be based in Swansea, with relocation support of up to £5,000 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 This role requires three days per week at our client's Swansea offices and we want to be straightforward about that. Swansea is a coastal city offering a genuinely excellent quality of life: lower cost of living than London or Birmingham, shorter commutes, and the kind of work life balance that is hard to find elsewhere. If you have spent years commuting into a major city, working three days a week by the sea without taking a pay cut may be more appealing than you expect. The work is meaningful too, public sector digital delivery that directly impacts people's lives across the UK. We also offer relocation support of £3,000 - £5,000 to help make the move straightforward. About the Role We are seeking an authoritative and hands on Solution / Technical Architect to provide architectural leadership across blended, multidisciplinary digital delivery squads within a large scale UK government agency. Operating at the heart of a mature digital environment in Swansea, you will ensure that all solutions align with strategic architecture, cloud first principles, the Government Digital and Data (GDD) Technology Code of Practice, and rigorous secure by design standards. You will actively shape the technical direction of digital products that process tens of millions of customer transactions and billions of digital interactions annually. This is a high impact role spanning citizen facing services, internal staff systems, cloud infrastructure, API platforms, and critical legacy transformation initiatives. You must be comfortable translating high level architectural direction into deliverable agile sprint work while fostering a culture of continuous learning and skills transfer. Key Responsibilities Architectural Leadership: Define, own, and communicate solution architectures for new and evolving digital services, producing clear Architecture Decision Records (ADRs), high level and low level designs, and reusable architecture patterns. Strategic Alignment: Ensure all designs conform to an agreed strategic architecture (API first, cloud first on AWS), software engineering standards, and cross government digital frameworks. Technical Governance: Lead technical governance activities, including preparing submissions for Architecture Review Boards (ARB) and participating in design authorities and technical assurance reviews. Hands on Collaboration: Provide active technical leadership within blended agile squads, reviewing code, advising on implementation approaches, and resolving complex technical blockers. Cloud & Platform Engineering: Drive cloud engineering decisions on AWS, encompassing serverless environments (Lambda/Node.js), containerisation, infrastructure as code (Terraform/CDK), and modern platform engineering practices. Cross Government Integration: Assess and guide integration approaches for strategic cross government platforms (such as digital identity, digital wallets, payment gateways, and notification systems) alongside third party APIs. Legacy Modernisation: Lead architectural activities for legacy transformation, safely migrating services away from mainframe, COBOL, and older database environments to scalable, modern platforms. Security & Compliance: Champion secure by design principles, participating in threat modelling (e.g., STRIDE) and collaborating closely with cyber security and information assurance teams on Data Protection Impact Assessments (DPIAs). Public Sector Delivery: Extensive hands on experience acting as a Solution or Technical Architect on large scale, complex digital transformation programmes within the public sector or highly regulated environments. Cloud Native Expertise: Deep expertise in cloud native architecture on AWS (including API Gateway, Lambda, ECS/EKS, RDS, S3, CloudFront, and IAM). Modern Architecture Patterns: Strong practical knowledge of API first design principles, REST/GraphQL, event driven architectures, microservices, and domain driven design. Automation & Tooling: Proficiency with infrastructure as code tooling (such as Terraform, AWS CDK, or CloudFormation) and CI/CD pipeline design (e.g., Jenkins, GitHub Actions). Security Knowledge: Comprehensive understanding of secure by design principles, cloud security guidance (e.g., NCSC), and government security classifications (OFFICIAL, OFFICIAL SENSITIVE). Communication & Artefacts: A proven track record of producing high quality architectural artefacts (C4 models, ADRs) and confidently translating complex technical decisions for non technical senior stakeholders. Agile Assurance: Experience working through all phases of agile delivery and actively contributing to formal government digital service assessments (such as GDS assessments). Legacy Migration: Prior experience with legacy mainframe modernisation and large scale migration patterns. Large Data Estates: Familiarity with operating and architecting within extremely large data estates (handling upwards of 50 million records). Emerging Technologies: Awareness of emerging technologies and how they apply to public sector delivery, such as AI/ML on AWS, digital identity (eIDAS), or biometrics. Professional Certifications: Recognised architecture certifications, such as TOGAF or AWS Certified Solutions Architect Professional. Tech Stack Familiarity: Practical experience supporting and designing for Java SpringBoot backend microservices and Ruby on Rails front end architectures. Benefits and Other Information Visa sponsorship for eligible candidates Access to learning and development resources A supportive, inclusive working environment We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two stage process comprising a technical assessment and a values based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

Xe is a cross-border payments platform. We help SMEs and consumers in the US, UK, Canada, Australia, and New Zealand collect, convert, hold, and send money across markets. Each year, over 300 million people use Xe for currency information and over 350,000 use us to send money overseas. Today, we're rebuilding the platform layer behind cross-border payments for corporate and consumer clients. We're small enough that your code ships fast and your decisions matter, and Euronet Worldwide (Nasdaq: EEFT) backs us so the problems stay real-scale. About This Role We're hiring a senior back-end engineer who owns real problems end-to-end and shapes how the team builds, from API design and data modeling through to service implementation, production reliability, and launch. You already use AI as part of how you think, build, test, and ship. You'll write code that moves money in production, design and modernize the backend services the platform runs on, and lead delivery of new capability as Xe rebuilds its platform layer. You'll work in a small team with direct access to product, compliance, and operations, own architecture in your domain, lead design reviews, mentor mid-level engineers, and partner with architects and team leads on cross-domain decisions. What You'll Do Design and own backend services that move money and manage multi-currency balances across a range of domains, including onboarding, KYC and KYB, payment initiation, FX, settlement, and other supporting services. Lead cross functional delivery with product, compliance, and operations from problem framing through launch. Lead the build of the partner integrations and settlement infrastructure your domain depends on. Own production health for your domain, including reliability, observability, on call, and incident response. Lead design reviews, set technical direction for your domain, and mentor mid-level engineers. Use agentic coding tools (Copilot, Cursor, Claude Code, or equivalent) daily across the SDLC, and lead modernization from legacy services into the modern stack alongside architects and team leads in your domain. What We're Looking For Must have 6 to 10+ years building production backend services, end to end. Strong backend proficiency in C# / .NET preferred; other OOP languages welcome (Java, Kotlin, Go, or equivalent). SQL and relational database fundamentals. Writing and maintaining tests. Daily use of agentic coding tools (Copilot, Cursor, Claude Code, or equivalent) across the SDLC. Production experience with AWS, including hands on deployment, CI/CD pipelines and modern deployment practices, and native services such as SQS, DynamoDB, S3, ECS, and Lambda. Strong system design and architecture experience, including service oriented or microservices and event driven patterns. Payments, FX, or regulated industry experience. Track record of technical leadership: mentoring engineers, leading design reviews, and making architecture decisions in your domain. Strong written and verbal communication. Nice to have Experience with ledgers, double entry accounting, or other financial data systems. Experience hiring, interviewing, or onboarding engineers. Experience leading modernization or platform migrations. Experience with caching solutions like Memcached or Redis. Experience using project management and documentation tools like Jira and Confluence. Knowledge of API testing tools such as Postman or Bruno. Writing automated tests alongside development with AI tools (Claude Code or equivalent). Perks & Benefits Competitive Salary & Discretionary Bonus 23 days annual leave increasing with service (capped at 28 days) Paid day off for your Birthday 4% employer pension contribution Discounted Euronet ESPP Life Cover, Income Protection & Critical Illness cover Healthcare Plumm Mental Health and Wellbeing Volunteering day for a charity of your choice We want Xe to be a great place to work and to ensure that our communities are represented across our workforce. A vital part of this is ensuring we are a truly inclusive organization that encourages diversity in all respects. Xe is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment regardless of age, national origin, race, color, disability, religion, sexual orientation, gender identity or expression, or any other characteristic protected under applicable law. We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, you may contact us at . The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company's right to assign or reassign duties and responsibilities to this job as needed.

Company the company, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, the company provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals. Role Overview the company is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands on engineering leadership role focused on designing and delivering scalable, cloud native, event driven platforms that enable data driven and intelligent solutions across the company' client facing business units. The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end to end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high performance platforms and user facing solutions that support critical front office workflows. This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice. Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event driven, real time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end to end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid level engineers, setting high technical standards through code reviews, design reviews, and hands on technical leadership. Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution. Support production systems, ensuring timely issue resolution, effective root cause analysis, and ongoing service improvement. Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud native, distributed, scalable, and resilient systems. Hands on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift. Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production grade systems in cloud or hybrid cloud environments. Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions. Strong analytical and problem solving skills, with the ability to operate independently in a complex delivery environment. Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners. Preferred Skills Experience working on CRM, client intelligence, sales enablement, or front office data platforms. Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments. Candidate Profile The ideal candidate will be a hands on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high quality technology solutions in a fast paced environment. They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support the company' client facing businesses.

Could you be our next Staff .Net Backend Engineer? Reapit is the original end-to-end business technology provider for estate agencies of all sizes. We've been helping sales and lettings agents build relationships and grow their businesses for more than 25 years. Our technology empowers property professionals across Europe, the Middle East, Australia, and New Zealand to work with buyers, sellers, tenants, and landlords to deliver a dream home experience. Worldwide, over 100,000 agents across more than 15,000 branches use Reapit to run their businesses, manage properties, collect rent, engage clients, and provide outstanding customer service every time. What you'll be doing Reporting to the Director of Engineering, you'll operate as a highly senior, technically hands-on backend engineer, embedded into a squad and owning delivery of substantive, cloud-native services end-to-end. Ad-hoc client interaction, supporting requirements discovery and technical solutioning where needed. Architecting, building and shipping complex, high-performance distributed services in C# and .NET Core 8/9 - primarily serverless on AWS Lambda - setting the technical bar for the squad and owning delivery of substantive feature sets end-to-end. Designing data models and persistence patterns across Aurora RDS MySQL and DynamoDB - picking the right tool for the workload, tuning for performance at scale, and modelling for both transactional and high-throughput access patterns. Building resilient, event-driven systems with SQS and related AWS messaging primitives - idempotency, retries, dead-letter handling, and clean separation of concerns across services. Owning each feature's solution end-to-end - partnering with Business Analysts who capture high-level problems and workflows, then driving product thinking, scoping, trade-offs and delivery yourself. Leveraging Claude Code and advanced agentic workflows at pace - orchestrating sub agents, managing context, running parallel workstreams and embedding AI native engineering patterns into everyday delivery. Designing clean, well versioned, well documented APIs that other engineers enjoy consuming - treating developer experience and contract stability as first class concerns. Inputting into architecture and technical direction in collaboration with Principal Engineers - making considered, well reasoned decisions on service boundaries, data design, messaging patterns, consistency guarantees and performance. Championing a high quality engineering culture - test coverage, peer review, CI/CD discipline via GitHub Actions, Infrastructure as Code, secure coding, observability and performance - aligned to the Reapit Global Technology Strategy, Reapit Connect and agentic tooling. Mentoring and up levelling engineers around you through pairing, PR review, architectural guidance and practical coaching on AI assisted development. Who we're looking for At Reapit, we prioritise hiring individuals who share our values and possess the right attitudes and behaviours for success. Whilst all the listed qualities are desirable, don't worry if you don't meet all of them, we'd still like to hear from you. A proven senior-to-staff-level backend engineer with deep, current expertise in C# and .NET Core 8/9 - you can architect and lead design of distributed REST API microservices at scale. Authority in AWS serverless architecture - Lambda first, with strong working knowledge of API Gateway, SQS, Step Functions, EventBridge and IAM, and a track record of shipping production workloads on this stack. Deep data expertise across Aurora RDS MySQL and DynamoDB - complex schema and access pattern design, query tuning, indexing, single table vs multi table trade offs, and a pragmatic view on consistency, scaling and cost. Proven track record designing event driven systems with SQS (and adjacent AWS messaging) - idempotency, ordering, retries, dead letter handling and operational robustness. Strong API design sensibility - versioning, documentation, throttling, backwards compatibility and an obsession with the developer experience of the services you own. A strong product brain. You're comfortable operating without a traditional Product Owner - partnering with BAs on high level problems, then making sensible product trade offs, prioritising ruthlessly and owning the solution through to delivery. Strong communication skills and comfortable with ad hoc client interaction - able to join a requirement or technical solutioning session, ask the right questions, and translate outcomes into shippable work. A proven track record with Claude Code and advanced agentic workflows - you can evidence shipping real work via multi-agent patterns, orchestrating sub agents, managing context, defining custom commands/skills and scaling AI assisted delivery across a team. Rigorous engineering standards - fluency with Git-based workflows, trunk-based development, CI/CD (ideally GitHub Actions), Infrastructure as Code (AWS CDK or Terraform), comprehensive testing (unit, integration and contract), and a genuine commitment to observability, performance and secure by default coding. Technical leadership without the title - a track record of lifting teams through pairing, mentoring, PR review and example, rather than through line management. A pragmatic, outcome oriented mindset - biased to shipping, comfortable with ambiguity, and able to make sensible calls on scope, technical debt and sequencing under time pressure. Nice to have: hands on experience with OpenSearch and/or AWS AppSync - both feature in our stack and would accelerate time to value, but neither is essential. What your impact and success looks like As a Backend Engineer we expect your success and impact over the stages of your contract with us to look something like this: Within 1 month Fully onboarded onto the Reapit stack - Reapit Connect, the relevant .NET services and AWS environments - shipped first production endpoints and / or services. Established trusted working relationships with the Director of Engineering, Principal Engineers, Business Analysts and the relevant squad. Configured Claude Code and our approved agentic tooling to our internal standards, and started running meaningful work through multi agent patterns. Built a clear, independent view of the target services, data model, database schemas, messaging topology and immediate delivery priorities - and surfaced any early risks or recommendations. Within 3 months Owning end-to-end delivery of substantive services - taking from BA-level problem statement through to production on Lambda, Aurora and DynamoDB, with you driving the product trade-offs as well as the engineering. Recognised as a go to technical voice within the squad - inputting into architectural decisions alongside Principal Engineers, raising the quality bar on PRs, and unblocking complex backend, data and messaging problems. Meaningfully influenced our wider engineering practice - patterns you've introduced for agentic delivery, Claude Code usage, serverless design or data modelling. Shipped APIs and services that are visibly well designed, well documented and performant - other engineers find them pleasant to consume, and they hold up under production load. Left a well documented, well tested, maintainable footprint - so that whether the contract is extended or handed over, the work continues to deliver value without you in the room. What's in it for you? We operate a Flexible Working Policy and there is no expectation around in-person attendance, beyond occasional ad hoc project meetings in our Solihull or London offices. You can expect an industry competitive day rate. Don't tick all the boxes? Neither do we We care about our industry and want it to become a more inclusive and diverse place to work. So, we're driven by hiring not only by experience and relevance for the role but by sharing our values and the right attitudes and behaviours for success. We are committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all. We feel we have an empowering environment where everyone is supported and respected, and we want you to feel this too. We welcome new ideas, thinking and approaches, whilst listening to all our employees.

Senior Engineer, Risk EngineeringApplylocations: Hong Kong: Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering Engineering Organization & Culture At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform where security and compliance are the foundational core, requiring a commitment to technical excellence that goes beyond simply delivering code. We operate as a global engineering organization, setting a high bar in a demanding environment for those driven to do the best work of their careers alongside world-class peers.We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: Risk Engineering The Risk Engineering team builds the high-performance computational backbone that safeguards our exchange operations. Bridging quantitative finance and systems engineering, we optimize the mission-critical risk calculations that evaluate margin requirements, stress scenarios, and portfolio exposures in real-time, ensuring every trade is backed by solid financial guardrails. Our technical domain spans low-latency JVM optimization, zero-allocation hot paths and complex financial modeling. What You'll Do High-Performance JVM Engineering: Develop and maintain high-quality, scalable, and performant JVM services and APIs, with an eye toward low-latency and efficient memory management. Technical Translation & Risk Modeling: Work closely with senior technical leadership to understand risk models and decompose complex business requirements into well-tested, robust implementations. Cross-Functional Collaboration: Collaborate with quantitative analysts and product teams to implement reliable solutions for financial products and risk models. Continuous Codebase Optimization: Actively optimize and refactor the existing codebase to enhance automated testing, performance, and maintainability. Engineering Excellence: Write clean, well-documented code, participate actively in code reviews, and champion agile best practices within the team. What You'll Bring Professional Experience: 5+ years of professional experience as a Java backend engineer. Mindset and Ownership: A strong sense of accountability and the agility to thrive and adapt in a dynamic startup environment. Language Proficiency: Advanced proficiency in Java, with a solid understanding of multi-threading, concurrency, and JVM performance tuning. Testing Methodologies: Strong hands-on experience with automated testing methodologies, including unit/integration testing, TDD, and exposure to simulation or stress testing. Software Design Fundamentals: Well-versed in Agile methodologies, design patterns, DRY principles, Clean Code, and microservices architecture. Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes, and cloud platforms (GCP preferred). Financial Domain Awareness: Good foundational understanding of financial products, risk management concepts, or risk methodologies (e.g., SPAN, VaR). Analytical Aptitude: Strong mathematical, analytical, and problem-solving skills. Educational Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field. Nice To Haves Familiarity with event-sourced architectures, columnar databases, Kotlin, or low-latency libraries like Chronicle Queue. Interest or minor experience in mentoring junior peers and contributing to a collaborative engineering culture. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.

Harmonic Security lets teams adopt AI tools safely by protecting sensitive data in real time with minimal effort. It gives enterprises full control and stops leaks so that their teams can innovate confidently. We are led by cybersecurity experts and backed by top investors including N47, Ten Eleven Ventures, and In-Q-Tel. We have achieved early traction and product-market fit with a world-class team, and we are now focused on building a category-defining company. This is your opportunity to join us early and shape not just a product, but a category. How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work - from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. About the Team Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We're a small but mighty crew where every person plays a critical role and we're committed to using AI to work smarter and faster. About the Role We're looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands-on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms. What You Will Do Own deliveries and features from start to finish Design, build, and own backend services in a microservices-based, event-driven architecture Implement core domain logic that drives key product workflows and system behavior Ingest and process high-volume usage and event data from customer-facing endpoints Build backend services that support operational, analytics, and reporting use cases Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management Expose well-designed APIs and webhooks consumed by customers, UIs, and external systems Power customer-facing UI experiences by providing backend APIs for visibility, analytics, and configuration What You Bring 3-5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle) Strong understanding of event-driven architectures, asynchronous processing patterns, messaging systems, and distributed system design Proven experience designing and maintaining RESTful APIs, web hooks, and service-to-service integrations Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms A track record of delivering performant, reliable and scalable applications Excellent collaboration and communication skills in cross-functional teams You Might Be a Fit if You Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments You understand not just how to build systems, but why architectural decisions matter You can balance scalability, reliability, maintainability, and speed of execution You think critically about security, observability, and operational excellence from day one Love the idea of blending software development, distributed systems and data-intensive applications Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers Thrive in fast-paced startup environments where ambiguity is the norm Enjoy shaping culture and engineering practices, not just writing code Leverage AI tools as an engineer to help you build smarter, faster and better Why Join Us This isn't just a job; it's an opportunity to be part of a team that is redefining cybersecurity. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Competitive pay and meaningful equity with a direct stake in Harmonic's success Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work A small, passionate team that values transparency, creativity, and learning Thoughtful leadership that cares deeply about growth, impact, and people Annual global off-sites (past trips include Lisbon and Nashville) The chance to directly shape both our product and our culture as we build a category-defining company Harmonic's Core Values Flourish in the Unknown We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance. Never Full We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. Perfect Harmony We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work

ou build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart of the AI engineering talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. Key Responsibilities Architect and govern production grade agentic systems at enterprise scale: multi agent orchestration across complex environments, RAG pipelines, policy based routing, memory management, and programme level lifecycle observability Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric backed tradeoff decisions are documented and transferable Set multi LLM integration standards: vendor agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open source models Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems Lead client engineering engagements at senior level - facilitate architecture design sessions, lead proof of concept delivery, and drive alignment between client technology leadership and delivery teams Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp up time on new client engagements Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme level AI impact in business terms to senior client stakeholders Qualifications Software engineering experience in production environments Hands on experience designing and deploying agentic AI solutions in a production environment - non negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent - at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure People lead responsibilities: experience managing, developing, and performance managing a team of engineers; setting individual development plans and conducting career conversations Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

At AKQA, we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients. We are looking for a senior, architecture-led Principal Engineer to join our London Tech team as a Technical Lead. This is a hands on engineering role, not a strategy only or evangelism position. You will spend the majority of your time designing, building and shipping enterprise grade systems, with roughly 65 to 70% hands on delivery and 30 to 35% technical leadership, architecture and team guidance. You will lead the technical direction of complex client programmes across MACH architectures and production Generative AI; spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation. You will own architecture decisions, write and review production code, and mentor engineers, while remaining accountable for what ships, not just what is proposed. Production Generative AI experience is essential. You must have at least three years' experience working with Generative AI, and have delivered at least one AI capability into a live, enterprise environment; not limited to prototypes, proofs of concept or demo builds. We need engineers who understand retrieval pipelines, evaluation, cost, governance and operational reliability at scale. AKQA is advanced in Design Systems and Design to Code practice; from Figma design systems through to UI development and application delivery. Generative AI is increasingly embedded across this design-to-application workflow, accelerating the path from design intent to production ready code and experiences. The Principal Engineer (Tech Lead) is a key technical contributor across the programme lifecycle, working closely with Technical Managers, cross-discipline teams and on shore, off shore and hybrid engineering squads. This role sits at Principal or Staff Engineer seniority, aligned with our Technical Managers and Technical Architects in scope and influence. While client facing and influential, the role is technologist first. You may occasionally support pre sales scoping or technical pitches, but your primary value is deep engineering craft, sound system design and reliable enterprise delivery. Technical architecture and hands on engineering capability are mandatory. Based in London (Farringdon), in a hybrid working environment, frequently collaborating with our global studios and partners, you will enjoy working in a team of highly skilled people, all with strong opinions about various technologies, frameworks and approaches. You will articulate your ideas to colleagues effectively whilst also taking on board the ideas of others and remaining solutions focused. You will thrive when faced with new challenges, view them as opportunities and constantly look to improve client offerings. You will work in a progressive environment that fosters a meritocratic culture, surrounded by some of the brightest minds in their fields. As a Principal Engineer (Tech Lead) at AKQA, you will be inspired by technology and have a passion for building robust, scalable solutions that perform in production. ROLE REQUIREMENTS Generative AI and Intelligent Experience Architecture Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments) AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation Hands on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval AI cost value analysis, observability, governance, testing and evaluation frameworks for production systems Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with measurable production outcomes Design Systems and Design to Code Design to Code workflow: advanced Design Systems thinking; experience bridging design intent through to UI development and production application builds Generative AI in the design-to-application process: applying Gen AI to accelerate, validate and quality assure the path from design to shippable code and experiences Design and delivery tooling: experience with Figma, Cursor, Claude and Vercel v0 advantageous Platform, Architecture and Engineering MACH architecture: microservices, API first, cloud native and headless composition; minimum eight years' experience designing and delivering MACH based enterprise platforms Cloud platforms: deep hands on experience across GCP and Vercel, with strong capability on AWS and/or Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across cloud providers API design: RESTful and GraphQL APIs, contract first design, versioning, gateway patterns and integration across SaaS, CMS, DXP and MarTech stacks Distributed systems and event driven architecture: messaging, async workflows, resilience patterns, idempotency and at scale system behaviour Backend and platform engineering: advanced server side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform, GitHub Actions, Azure DevOps, GitLab) Cloud and edge hosting: GCP, Vercel, AWS, Azure, Netlify and related deployment models Front end integration literacy: HTML, CSS, JavaScript and js + React; mobile technologies (SwiftUI, Kotlin, Flutter or React Native) advantageous CMS, DXPs, MarTech and SaaS integration in complex enterprise landscapes; including headless CMS platforms such as Contentful, Sanity, ContentStack or similar Workflow and delivery tooling: GitHub, Bitbucket, GitLab, Atlassian, Azure DevOps, CI/CD cloud functions or similar Automation, quality assurance and non functional requirements: security, performance, reliability and maintainability QUALITIES AND CHARACTERISTICS Must be from a senior engineering, platform or architecture background; Principal, Staff or equivalent depth of hands on experience Builder first mindset: you lead by doing, with architecture informed by what you have shipped in production A continuous improvement approach to engineering practice and team ways of working Proactive self starter with acute attention to detail and drive for improvement Practically minded: excellent work in production matters more than abstract thought leadership Advocate for improvements to processes, quality, security and operational excellence Analytical, creative and positive mindset with a personable and professional approach Sharp attention to detail and a passion for new technology, staying abreast with the latest developments in the industry Professional written and verbal communication Able to explain complex technical decisions to non technical audiences (clients, stakeholders and team members) Champion continuous improvement and best in class software development processes Contribute to technical discovery and be proactive in proposing engineering solutions to needs that other disciplines may not be aware of. RECENT GENERATIVE AI WORK A selection of recent Generative AI work from across AKQA: Google: Bringing emotion and intuition back to online shopping Netflix: It's What's Inside - The Game Nike: Never Done Evolving Explore our extensive range of benefits. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach including required in office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work - from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. About the Team Customer Engineering is a brand-new function at Harmonic, and you'll be one of the first people to build it. This is a deliberate philosophy, not just a new team name: we're treating customer experience as an engineering problem. Every repeated question or manual fix is a signal that something should be automated, instrumented, or resolved at the root, not answered by hand. The mission is simple to state and hard to do well: give customers fast, accurate answers, and use engineering to make the next hundred questions faster to answer than the last one. That means real backend work - fixing bugs, shipping small customer-driven improvements, and building automation and tooling that reduces how much of this has to be done by hand at all. You'll have direct influence over how this function is run, tooled, and measured from day one. About the Role We're looking for a Backend Engineer to sit inside Customer Engineering rather than the product roadmap team. You'll be the technical backbone for how we support and delight customers day-to-day: triaging and fixing bugs, resolving smallish customer requests, spotting opportunities to get ahead of a problem or surprise a customer with something they didn't ask for, and - critically - building tools and automation that let customers (and the team around you) get answers without needing an engineer in the loop every time. You'll work across our core applications, identity providers, and data security platforms, and you'll bring the same engineering rigor to this function as you would to product work - just pointed at a different problem. What You'll Do Triage, diagnose, and fix customer-reported bugs across our backend services Deliver smallish customer-driven requests and improvements, keeping a lightweight roadmap of your own Build tooling and automation that let customers and internal teams self-serve answers, cutting down repeat questions that would otherwise need an engineer Dig into microservices, event-driven pipelines, and integrations with identity providers and data security platforms to find and resolve root causes, not just symptoms Work directly with customers and internal stakeholders to understand what's actually blocking them, then decide whether the right fix is a patch, a tool, or a process change Instrument and monitor the systems customers depend on so recurring issues get surfaced and fixed before they pile up - and so you can spot chances to reach out or ship something before a customer even raises it Look for moments to delight, not just resolve: a workflow that could be smoother, a report that could be automatic, a question that could be answered before it's asked Track how much of the customer experience is still manual, and systematically drive that down through automation and fixes Help define what "good" looks like for this function - process, tooling, and metrics - since you're building it from scratch What You Bring 5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven) Strong understanding of event-driven architectures, asynchronous processing patterns, messaging systems, and distributed system design Proven experience designing and maintaining RESTful APIs, web hooks, and service-to-service integrations Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms A track record of delivering performant, reliable and scalable applications Excellent collaboration and communication skills in cross-functional teams, including direct, empathetic communication with customers Comfortable moving between hands-on debugging, small feature delivery, and building internal tooling in the same week You Might Be a Fit if You Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments You understand not just how to build systems, but why architectural decisions matter You can balance scalability, reliability, maintainability, and speed of execution You think critically about security, observability, and operational excellence from day one Love the idea of blending software development, distributed systems and data-intensive applications Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers Thrive in fast-paced startup environments where ambiguity is the norm Enjoy shaping culture and engineering practices, not just writing code - especially for a function that doesn't exist yet Get satisfaction from unblocking a customer quickly, and then from automating away the need to do it again Prefer variety and a mix of problem sizes over long, single-threaded builds Leverage AI tools as an engineer to help you build smarter, faster and better Why Join Us This isn't just a job - it's a chance to help define a category. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Recognized momentum - We made the Rising in Cyber 2026 list, a signal that the market is taking notice Rare market opportunity - Join early in a category-defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech Competitive pay and meaningful equity - A real stake in Harmonic's success, not a token gesture Comprehensive benefits - 401K, pension plan, generous PTO, and flexible hybrid work A small, high-trust team that values transparency, creativity, and continuous learning - no politics, no bureaucracy Thoughtful leadership - that cares deeply about your growth, not just your output Annual global off-sites - past trips include Lisbon, Portugal and Nashville, TN Real ownership - you'll shape the product, the culture, and the direction of the company from day one Compensation Benefits Compensation Range: £98K - £110K Harmonic's Core Values Flourish in the Unknown We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance. Never Full We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. Perfect Harmony We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We are seeking a versatile and highly skilled Principal Software Engineer who can work seamlessly across our frontend and backend services-from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into our core planning workflows. This is a unique role requiring deep software engineering expertise across both frontend and backend development, combined with hands on experience building production ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full stack services (frontends and backend services) into production environments. End to End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool calling capabilities, and multi agent coordination. Full Stack Engineering: Drive best practices across our full stack, guiding the development of responsive frontend applications (React/TypeScript) and robust, scalable backend services (Python, Java, Kotlin, or Node.js). LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour). Operational Excellence: Champion high availability, performance optimisation, and observability across frontends and backend microservices, focusing on practices that maintain platform reliability and optimise MTTD and MTTR. Mentorship & Collaboration: Elevate the engineering organisation by mentoring senior and junior engineers, conducting rigorous code and system design reviews, and partnering with product managers to translate product visions into actionable technical roadmaps. Qualifications Experience: Extensive professional software engineering experience, with a proven track record of delivering complex, high quality technical projects in a senior or principal role. AI & Agentic Production Exposure: Deep hands on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments. Full Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript) and robust backend development languages (Python, Java/Kotlin, or Node.js). GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi agent architectures, and building/consuming Model Context Protocol (MCP) services. System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications. Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams to take ideas from prototype to production. Agentic Tools & Frameworks: Hands on experience with agent orchestration frameworks and integrating AI agents with enterprise platforms. Observability Tooling: Experience with GenAI observability and evaluation tools. Industry Domain: Previous experience in Enterprise Performance Management (EPM), financial planning, business analytics, or related enterprise SaaS environments. Community Contributions: Contributions to open source agent frameworks, MCP servers, or published research in distributed systems or Generative AI. Our Commitment to Diversity, Equity, Inclusion and 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. 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.

Role the company-View Location: Hub Based - Hybrid for all Salary banding: £55,000 to £85,000 Experience: Senior Working pattern: Full-Time Reporting to: Delivery & Growth Lead Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Build, Collaborate, Deliver Top 3 qualities for this role: Communication, Delivery Expertise, Amplification Where you'll work Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to the company Connection events in-person. You'll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life. Everyone belongs at the company At the company, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Teamworking for the planet Everything we do here spins around Plan Zero. So, naturally, the team you'll be joining plays a gigantic role in making that happen. Here's how: As a Senior Software Engineer, you'll own the end-to-end development of complex systems and features that are core to our business. This role in a nutshell You will lead technical initiatives, make critical design decisions, and mentor engineers to elevate the team's capabilities. Your expertise will be the driving force that ensures we build scalable, high-quality software that pushes our company forward. This role involves collaborating with multidisciplinary teams to develop AI-driven products delivered through mobile applications. Ideal candidates will have experience bringing AI solutions to market and working within the constraints of mobile platforms. Your key outcomes will be Technical Leadership & Architecture: Drive the architectural vision for key features, designing robust, scalable systems and contributing to the technical roadmap to influence the future direction of the product. Engineering Excellence & Quality: Champion best practices by writing clean, efficient code, leading rigorous code reviews, and implementing comprehensive automated testing to ensure high-quality, performant solutions. Mentorship & Team Growth: Lead and mentor other engineers, fostering a culture of continuous learning and collaboration through knowledge sharing, technical discussions, and constructive feedback. Project Execution & Delivery: Translate complex projects into clear, executable tasks within an Agile framework, proactively resolving blockers to ensure the timely and efficient delivery of team commitments. Community & Knowledge Sharing: Actively contribute to the wider engineering community by leading discussions, sharing expertise through documentation and workshops, and driving the exchange of best practices. You'll be successful here at the company if you Professional Experience: Significant hands on experience developing software in an agile environment, with a proven track record of delivering high quality, clean code. Backend & Architecture: Expertise in designing and building scalable microservices based architectures using languages like Node.js, Python, and TypeScript. Cloud & DevOps: Hands on experience with cloud platforms (GCP, AWS), containerization (Docker, Kubernetes), and modern CI/CD practices. Frontend Development: Proficiency in modern frontend frameworks such as React.js and/or React Native. Leadership & Mentorship: Proven ability to lead technical initiatives and mentor other engineers, fostering a culture of technical excellence. Collaboration & Problem Solving: Excellent communication and analytical skills, with the ability to thrive in a high ownership, collaborative team environment. Let's talk about what's in it for you We'll pay you between £55,000 and £85,000, depending on your specific skills and experience. We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You'll be eligible for an on target bonus of 15%. We have one the company bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal. We also offer plenty of green benefits and progressive policies to help you feel like you belong at the company-and there's flex pay. We'll give you 9% Flex Pay on top of your salary - 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash. Here's a taster of what's on offer: For starters, you'll get 34 days of holiday (including bank holidays). For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more. For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more. For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give as you earn donations. For your home Get up to £400 towards any the company Energy plan, plus great discounts on solar, smart thermostats and EV chargers. For your commute Nab a great deal on ultra low emission car leasing, plus our cycle to work scheme and public transport season ticket loans. Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know. For your belonging To find better ways to support our people, we need to listen to each other's experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at the company. Led by our people, for our people - so when you join the company, you can play a part - big or small - with any of the Networks. It's up to you. Oh, and one last thing We'd be thrilled if you tick off all our boxes, yet we also believe it's just as important we tick off all of yours. And if you think you have most of what we're looking for but not every single thing, go ahead and hit apply. We'd still love to hear from you! If you have any additional requirements, there's a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.

Who we are AppyWay is the industry-leading SaaS solution decarbonising cities by empowering local authorities to digitally manage their kerbside and share kerbside data with fleets and drivers. Our journey began with AppyParking, an app born from the frustration of finding and understanding parking on the streets of London. During the app's creation, it was clear that cities lacked shareable, machine-readable, standardised parking restriction data. So we built the UK's largest set of standardised kerbside data, in turn discovering the untapped potential beneath everyone's feet. Today, we're Europe's leading intelligent kerbside platform, helping cities and drivers optimise operations and transition to net zero by uniting parking/loading maps, occupancy data, and cashless payments. Our impressive client roster includes local authorities such as Edinburgh, Southwark, Lambeth, Haringey, Harrogate, Cambridgeshire, Cornwall, Dorset, Dublin and, more recently across the pond, New York City. Additionally, our apps and API are trusted by tens of thousands of drivers and fleets including Blue Badge innovators Motability Operations. We are proud to have the support of top investors, including Hyundai Motor Company, Aviva Ventures, Mastercard and Esri. To date, we have raised over £20 million in funding, allowing us to continue building something big from the ground up. If you're passionate about tangible solutions to help decarbonise the world, then AppyWay is the perfect place for you. Come and make your mark on a company you can call your own! What you will be doing Reporting to the VP of Product & Engineering, you'll join a small, experienced engineering team responsible for evolving AppyWay's backend platform and technical architecture. You'll help build the next generation of APIs, cloud services and data pipelines that power our kerbside platform, enabling us to onboard new datasets, support new products and scale internationally. Working alongside senior engineers and product leadership, you'll contribute to the evolution of our platform while developing your own technical expertise across cloud infrastructure, AI, geospatial data and developer tooling. You'll be responsible for: Designing and building scalable backend services and APIs using C# .NET. Developing platform capabilities that support kerbside, parking, payments, mapping and mobility products. Building data ingestion and transformation pipelines that make it easier to onboard and standardise new datasets. Developing reusable SDKs, shared libraries and platform components that improve consistency across our products. Modernising our cloud infrastructure and contributing to platform migrations and technology upgrades. Designing and supporting cloud-native services hosted within Microsoft Azure. Implementing Infrastructure as Code, CI/CD pipelines and engineering automation to improve reliability and developer productivity. Contributing to AI-powered workflows including document processing, data extraction and intelligent automation. Working with the Security Manager to implement technical controls supporting ISO 27001 and Cyber Essentials. Collaborating with Product and Engineering to translate customer problems into scalable technical solutions. Contributing to architectural discussions, technical design and engineering best practices. Supporting production services by improving reliability, observability, performance and operational resilience. Mentoring other engineers through code reviews and knowledge sharing. Essential 5+ years' experience building backend applications using C# .NET. Experience designing and developing REST APIs. Experience working with Microsoft Azure. Experience building and supporting production cloud applications. Good understanding of distributed systems and modern software architecture. Experience working with SQL databases and data processing. Experience with CI/CD pipelines and modern software delivery practices. Comfortable working across backend services, cloud infrastructure and APIs. Strong problem-solving skills and a pragmatic engineering mindset. Excellent communication and collaboration skills. Right to work in the United Kingdom Desirable Experience in one or more of the following would be beneficial: Azure Functions, Container Apps or App Services. Infrastructure as Code (Pulumi, Terraform, Bicep or similar). Event-driven architecture and messaging technologies. Elasticsearch or other search technologies. AI technologies including LLMs, document processing or agentic workflows. Authentication and identity platforms such as Auth0. Geospatial technologies including GeoJSON, HERE, Mapbox or QGIS. Stripe or payment platforms. OpenAPI, SDK generation or developer platform tooling. ISO 27001, Cyber Essentials or secure software development practices. Our tech stack (This isn't a shopping list-these are the tech and patterns we use. We'd love to hear from people with some of these, or who are excited to pick them up and suggest alternatives.) C# .NET Aurelia, TypeScript Azure infrastructure (App Services, Function Apps, Container Apps, etc.) DDD, CQRS, Event-Driven Architecture SQL Server, PostgreSQL, and Azure Storage Service Bus Elasticsearch Redis Git, Octopus Deploy Pulumi for IaC Microservices, SOA Power BI Time-series data processing QGIS and related GIS/GeoJSON tools What you would get Competitive salary of up to £80,000-£90,000 depending on experience 25 days' holiday plus all UK bank holidays, and accrue additional days each year up to 30 total Hybrid flexible working (fully remote options) with one day a week in our Covent Garden office; open to applicants based anywhere in the UK "Work from Anywhere" for up to 2 weeks each quarter Share option scheme-experience true ownership Enhanced company pension scheme (Royal London) with matched contributions Annual Cost of Living review to help protect your compensation Death in Service insurance cover Access to GP consultations, nutritionists, dental advice, and counselling on demand PerkBox: hundreds of perks, discounts, weekly freebies, cashback offers, and discounted gym memberships On-site perks: barista coffee and an end-of-day beverage at our bar Choose your own laptop (PC or Mac) and accessories Clear growth framework with learning & development support Inclusive family leave options, nursing rooms, and a dedicated return-to-work plan Regular social events, group trips, and activities No agencies please - we handle all recruitment in house.

Role Overview This is one of several newly created opportunities across our business functions that will sit within our Group Technology function as an Associate Forward Deployed Engineer (AI) and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources. As the Associate Forward Deployed AI Engineer, you will embed directly with TP ICAP's business divisions to lead end-to-end deployments of AI solutions. You will own discovery, technical scoping, system design, build, and production rollout, partner directly with domain teams to identify high-value AI opportunities, architect solutions tailored to real business problems, and drive adoption from first prototype to stable production. Equally, you will serve as a critical feedback channel to TP ICAP's central AI platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI. Responsibilities Own the full lifecycle of AI deployments within your assigned business division. Initial discovery and technical scoping through system design, build, and production rollout. Ensure solutions are technically sound, aligned to business outcomes, and delivered with the urgency and quality expected of a forward deployed team. Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade offs, and outcomes clearly to leadership. Architect, build, and deploy cutting edge AI applications powered by large language models and generative AI. Write and review production grade code across frontend and backend systems, ensuring scalability, reliability, and strict data stewardship. Co develop and enhance TP ICAP's shared AI service platform in collaboration with the central AI & Innovation Lab. Feed field insights back to inform product roadmaps, identify where models succeed, and surface areas for improvement. Drive adoption of deployed solutions by measuring success through production usage, measurable workflow impact, and evaluation driven feedback. Present outcomes and strategic recommendations to leadership, demonstrating tangible business value. Experience / Competences Essential Expertise in AI technologies, including Generative AI and Machine Learning. Hands on experience working with Large Language Models (LLMs). Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production grade code across the full stack. A proven track record architecting and designing scalable solutions that move from prototype to production. Experience managing technical priorities within an Agile environment, resolving dependencies and ensuring alignment across stakeholders and platform teams. Strong communication skills with the ability to present complex technical concepts to non technical stakeholders and senior leadership, translating AI capabilities into business language. Desired AWS experience including AI services such as Bedrock and the Serverless ecosystem. Proficiency in front end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI driven back end services. Expertise in back end development, with experience in building and deploying scalable APIs and microservices to support AI solutions. Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full stack applications, ensuring data protection and privacy across AI solutions. Band & level: Professional, 4 Location: UK - 135 Bishopsgate - London

United Kingdom and 1 more Job Description Key Responsibilities Design, develop, and maintain scalable backend services, REST APIs, and microservices supporting the Personal Loans platform. Build and enhance event-driven, distributed application components, including Kafka-based integrations where applicable. Collaborate with product, architecture, engineering, QA, and delivery teams to clarify requirements and deliver business outcomes. Participate in technical design reviews, architecture discussions, code reviews, and engineering best-practice improvements. Support CI/CD, automated testing, deployment, environment configuration, and operational excellence activities. Troubleshoot production and non-production issues, identify root causes, and drive continuous improvement initiatives. Required Skills & Experience Strong hands-on experience in Java development, Spring Boot, and microservices architecture. Experience designing, developing, testing, and supporting REST APIs for enterprise-scale platforms. Hands-on experience with AWS cloud services and cloud-native backend development. Experience building event-driven systems and distributed applications using Kafka. Solid understanding of software design patterns, automated testing frameworks, CI/CD practices, and secure coding principles. Experience working on complex, enterprise-scale platforms with a focus on scalability, reliability, and maintainability. Familiarity with Git or equivalent version control systems, API testing tools, and configuration formats such as JSON, YAML, or XML. Preferred Experience Banking or financial services domain experience, preferably within lending, loans, or credit platforms. Experience working in highly regulated environments with strong focus on compliance, security, and governance. Experience designing and supporting high-volume transactional applications. Exposure to observability, monitoring, logging, and production support practices. Strong problem-solving, analytical thinking, and technical leadership capabilities. Ability to work effectively in a fast-paced agile delivery environment with changing priorities. Excellent communication, collaboration, and stakeholder engagement skills. Ownership mindset with a strong focus on quality, delivery, service reliability, and continuous improvement.