107 jobs found

About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.

Job Description We are hiring a Senior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI assisted development across the organization. This is not a traditional full stack role, and it is not a "prompt engineering" role. You will work at the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement. You will build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards. You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability. You Will Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle. Design and build internal tools, workflows, templates, integrations, and automation that make AI assisted development safer, faster, and more consistent. Create and maintain engineering standards, guidance, and reusable patterns for AI assisted software delivery. Help teams adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability. Work with engineers and stakeholders to understand real delivery pain points and translate them into practical enablement solutions. Build or integrate capabilities around AI assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval. Contribute to AI governance implementation by helping translate policy and security expectations into usable engineering workflows. Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks. Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment. Coach and support engineers through workshops, documentation, demos, and hands on enablement. Operate with high autonomy in a fast moving area where ambiguity is expected and practical ownership is essential. AI & Engineering Enablement Mindset Strong interest in how AI is changing software engineering, developer workflows, and engineering productivity. Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools. Ability to distinguish between AI experimentation and production grade engineering practices. Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards. Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout. Curious about areas such as AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement. The Impact You Will Have Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards. Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance. Improve developer experience by removing friction from common engineering tasks. Help establish measurable AI adoption practices across software engineering. Contribute to the next generation of AI enabled engineering capability within the Investor Services organization. Qualifications Required 8+ years of professional software engineering experience with strong ownership of complex systems, platforms, or engineering capabilities. Strong proficiency in TypeScript and modern JavaScript. Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns. Experience working across frontend and backend boundaries, including APIs, integrations, services, and data flows. Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness. Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements. Ability to work with multiple engineering teams, understand their delivery challenges, and create practical solutions that scale. Strong written communication skills, with the ability to create clear technical guidance, onboarding material, and adoption documentation. Ability to operate in ambiguity, structure unclear problems, and move from discovery to delivery. Security conscious engineering mindset, especially when introducing new tools, automation, or AI assisted workflows. Preferred Experience with AI assisted development tools in real software delivery, not only experimentation. Experience building internal platforms, developer tooling, engineering productivity tools, or paved road capabilities. Experience with Node.js, Python, or another backend language. Experience with cloud based systems, preferably AWS. Experience with observability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards. Experience in regulated or enterprise environments with strong governance, security, and release discipline. Experience with design systems, frontend platform standards, accessibility, and reusable UI patterns. Experience with knowledge retrieval, documentation systems, RAG style workflows, or internal engineering knowledge platforms. Experience designing lightweight evaluation approaches for AI generated outputs, automation, or agentic workflows. Experience coaching engineers, running workshops, or driving adoption of new engineering practices.

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.

Funding End Date 31 Aug 2028 Hours per week 37 Project Title Senior Project Software Developer (COPO) Months Duration 24 Flexible Options Although full-time hours are available, applications from those interested in working part-time hours are also welcomed. Job Description Main Purpose of the Job The Earlham Institute is seeking a versatile full-stack Research Software Engineer (RSE) to join the team behind COPO (Collaborative OPen Omics). COPO is a production-deployed metadata and data-brokering platform that has been developed and operated at the Institute since 2015. COPO underpins some of the largest biodiversity genomics programmes attempted to date, having brokered more than 80,000 samples from over 4,800 species to public repositories such as the European Nucleotide Archive, with automated validation, expert curation and full audit trails. The successful candidate will join the small engineering team that builds and operates COPO, contributing across the full stack -frontend interfaces, APIs, and the services that connect them to the platform's validation, curation and submission pipelines. Data visualisation, dashboards and API design will be at the centre of the role, but the post is deliberately broad: COPO supports a range of research communities and projects, and the work varies with the needs of those the platform serves. This is a broadly scoped full-stack role with metadata validation, translation, visualisation and API design as its primary focus. It suits an engineer who enjoys turning complex scientific data into clear, reliable, well-documented interfaces that researchers and the wider community can depend on. Being a senior, hands-on role, you will own significant components of the project end to end, make day-to-day architectural decisions, and drive delivery to time. Key Relationships Internal: COPO Team Lead / Group Leader (direction, prioritisation, line management); the COPO development team of fellow engineers and frontend developers (collaboration, code review, and mentoring); EI bioinformaticians and research scientists (scientific and metadata requirements); Scientific Computing / IT infrastructure teams (compute, storage and platform services); and project managers / programme coordinators (planning, reporting and effort estimates). External: genomics and biodiversity programmes and projects that COPO supports; EMBL-EBI / ELIXIR services such as ENA and BioSamples; other public repositories and registries such as Zenodo and DataCite; metadata-standards communities including RO-Crate, ISA, MIxS, Darwin Core and Bioschemas; and the wider open-source community and downstream COPO users. Main Activities & Responsibilities Dashboards, data visualisation and data portals Design, build and maintain interactive dashboards and public data portals, from data model through to production deployment. Translate complex, multi-source scientific metadata into clear, accurate and accessible visualisations. Build reporting and summary views that are reproducible and auditable, including snapshots for governance and reporting. Apply good practice in accessibility, responsive design and information design so that outputs are usable by researchers and the public alike. APIs and backend services Develop, document and maintain RESTful APIs that expose metadata in multiple formats for internal tools and external consumers. Integrate frontend and portal services with COPO's validation, curation and submission pipelines. Ensure APIs are performant, versioned, secure and well documented so third parties can build against them with minimal support. Full-stack engineering and platform contribution Contribute across the COPO codebase: frontend, backend and supporting services as a flexible member of a small engineering team. Write clean, tested, maintainable code with appropriate use of version control, code review, CI/CD and containerisation (Git, Docker). Help deploy and operate COPO instances, working with colleagues on deployment, monitoring, backup and reliability. Collaboration, standards and support Work closely with the technical lead and engineering colleagues to extend the platform and its metadata standards. Help add support for new data types and metadata schemas, and reflect these in the interfaces and APIs you build. Support research users onboarding onto the platform, including documentation, tutorials and responsive help. Produce clear technical documentation and contribute to open-source releases under permissive licences. As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance Degree (or equivalent professional/practical experience) in computer science, software engineering, bioinformatics or a related discipline Essential Specialist Knowledge & Skills Requirement Importance Proficiency with version control (Git) and collaborative development workflows, including code review Essential Understanding of FAIR data principles, ontologies or controlled vocabularies Essential An understanding of, and willingness to apply, good engineering practice: automated testing, clear documentation and basic security awareness Essential Able to translate complex requirements into clear, usable interfaces, with strong attention to accuracy and detail Essential Familiarity with cloud or research-computing infrastructure Desirable Exposure to genomics, biodiversity, ecology or a related life-science domain Desirable Requirement Importance Demonstrable experience building and maintaining full-stack web applications in JavaScript and a backend language (Python preferred) Essential Experience designing, building and documenting RESTful APIs Essential Experience with containerisation and deployment (Docker; CI/CD pipelines) Essential Experience designing and building data visualisations or dashboards, using libraries such as Plotly, D3, or equivalent Desirable Experience working with structured or scientific data, metadata standards, or data-intensive systems Desirable Management and Leadership Requirement Importance Experience mentoring, coaching or line-managing other developers Essential Interpersonal & Communication Skills Requirement Importance Committed to open, reproducible and well-tested software Essential Able to work both independently and as a flexible, collaborative member of a small team Essential Good written and verbal communication skills, including the ability to produce clear technical documentation and explain technical matters to non-specialists Essential Comfortable working with, and responsive to, a distributed community of research users Essential Able to work independently, use initiative and apply problem solving skills Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Attention to detail Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Willingness to work outside standard working hours when required Essential Ability to maintain confidentiality and security of information where appropriate Essential Who We Are About the Earlham Institute The Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration . click apply for full job details

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What does the team work on? Roku's Developer Platform team builds tools and embedded capabilities that help channel partners develop, tune, and debug high-quality apps. The team works across web applications, APIs, and platform services to improve the end-to-end developer experience and support partner success at scale. What is the role? Roku is looking for a Senior Full Stack Engineer to join the Developer Platform team and build AI-enabled web applications and services that improve app development and management workflows. This role will design and deliver full stack solutions that support external partners and internal stakeholders across the Roku ecosystem. You will contribute across frontend and backend systems, with a strong focus on reliability, scalability, and usability. You will build and evolve APIs and microservices, and help integrate modern AI capabilities into production experiences where they add clear user value. The role requires strong technical judgment, cross-functional collaboration, and the ability to move from concept through delivery in a fast-paced environment. You will join a high-performing team with a strong delivery culture and a commitment to building practical, high-impact developer tools. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks - and can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsibilities of the role? Design and build full stack web applications using React and Node.js Integrate AI capabilities including LLM-driven experiences where appropriate Develop APIs and microservices that connect tools, data, and platform workflows Deploy, scale, and monitor services in cloud environments using Kubernetes Build robust, highly available backend and frontend systems for developer-facing use cases Collaborate with cross-functional teams to define and deliver partner and internal tooling Troubleshoot production issues and improve performance and reliability Participate in code reviews and contribute to engineering best practices What experience would help someone be successful in this role at Roku? Proven full stack engineering experience with production web applications Strong skills in TypeScript, JavaScript, React, and Node.js Experience with backend development in Python or Go and frameworks such as FastAPI Familiarity with PostgreSQL, Redis, and REST API design and integration Experience with test-driven development and CI/CD workflows Experience integrating AI technologies such as OpenAI, LangChain, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure and Kubernetes Experience with message queuing systems such as RabbitMQ or Apache Kafka Demonstrated AI/agentic-tooling fluency per the section above Bachelor's or Master's degree in Computer Science, Electronics, Communications, or a related field What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .

The role This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. You'll work in a matrix organisation and report operationally through to the Software Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Build secure and performant backend services using languages like Node.js, Python, Java, or .NET Core/.NET 5+. Integrate APIs, databases, and third-party services, ensuring seamless data flow and system interoperability. Develop and maintain robust frontend interfaces using modern frameworks (e.g., React, Angular). Design, build, and maintain scalable software solutions with a cloud first mindset, leveraging cloud native services and infrastructure. Use Docker and Kubernetes to containerise applications for consistent development, testing, and deployment across environments including Red Hat OpenShift. Automate build, test, and deployment processes using tools like Jenkins, GitHub Actions, Tekton, or Azure DevOps. Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation. Support estimation and planning activities in an agile environment. Conduct peer code reviews, ensuring adherence to coding standards, performance optimisation, and maintainability, including use of static analysis tools such as SonarQube. Contribute to continuous improvement, identifying opportunities to refine code quality, development workflows, and team collaboration. Establish and maintain automated test suites for unit, integration, and end to end testing. Build solutions with observability and monitoring in mind, integrating logging, metrics, and tracing to maintain system health and performance. Stay current with emerging technologies, frameworks, and industry trends. Monitor and respond to vulnerabilities, ensuring compliance with security standards (e.g., OWASP, NIST). Who we are looking for You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You'll understand what it means to put the mission first. We are looking for a skilled and proactive Senior Software Developer to contribute to the development and integration of software solutions across the Army Collective Training Service (ACTS) programme. This role focuses on hands on engineering, building scalable, secure, and cloud native applications that support ACTS's strategic goals. You will work closely with Software Lead, technical leads, architects, and engineers to develop and maintain cloud hosted systems and services. Your responsibilities will include integrating legacy systems, engaging in modern development practices, and leveraging platforms such as AWS, Azure, and MODCloud (OCP) to deliver resilient and maintainable capabilities. Essential Skills and Experience 2 Years+ experience in full stack development using modern frontend frameworks (e.g., React, Angular) and backend technologies (e.g. Python, Java, JavaScript, Go, .NET Core/.NET5+). Experience with containerisation using Docker and orchestration with Kubernetes. Cloud platform expertise, particularly with AWS, Azure or Oracle, including deploying and managing cloud native applications. Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, Tekton or Azure DevOps. Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Experience with static and dynamic code analysis tools (e.g., SonarQube, Snyk, OWASP ZAP). Experience with RESTful APIs for ingesting and exposing data. Self starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. Excellent communication skills with ability to interact with stakeholders at all levels. Holder of current SC clearance, or the ability to gain it. Desirable Skills and Experience BSc/BEng in Software Engineering or equivalent professional accreditation and experience. Hands on experience with automated testing tools and frameworks such as JUnit, NUnit, Selenium, Cypress, Postman, or PyTest. Background in performance tuning for high throughput, low latency data systems. Knowledge of data warehousing and Lakehouse technologies. Experience with secrets management and identity access controls (e.g., HashiCorp Vault, AWS IAM, Keycloak). Experience with monitoring and logging for security and performance (e.g., ELK stack, Prometheus, Grafana). Experience with API management and gateway tools and services. Hands on experience deploying to Red Hat OpenShift. What we offer Be Part of a Groundbreaking Mission Join the UK's most advanced defence training alliance, where industry experts converge to push boundaries and deliver excellence. A Culture Built on Collaboration Work in an inclusive, high performing team that celebrates ideas, supports growth, and is laser focused on delivering results. Team dynamics You will be part of a team that works together, across multiple organisations united in one mission. Work Across Borders, United in Purpose Operate across organisations with one shared goal - improving capability across all domains. Drive Innovation Your voice matters. We champion new ideas, welcome change, and believe in continuous improvement with a growth mind set. Shape the Future Play a crucial role in a long term, future facing programme with real world impact on national defence. Career Growth & Benefits Enjoy a strong benefits package, ongoing development opportunities, and clear pathways to progress within a trusted defence industry partner.

About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.

Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.

Ascent Software is seeking a Backend Data Engineer to build graph-driven data platforms and Python-based services. Design and implement APIs (FastAPI) integrated with graph databases to enable advanced analytics and API-first data access across complex domains. You will collaborate with engineers, data scientists, and stakeholders to deliver scalable, production-grade data solutions and reusable data products. Experience with Neo4j, Spark/PySpark, and cloud-native platforms is valued.

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.

Location: London, UK (In-Office) Experience: 5+ years required Compensation: £140,000 - £200,000 + equity Visa Sponsorship: Not available About Corgi Corgi is vertically integrating the entire insurance industry. We design, underwrite, price, and issue insurance directly: no brokers, no third-party administrators. Insurance is the largest unautomated industry in financial services, and we're rebuilding it from the ground up using AI. We've raised $268M from Kindred, TCV, and others to do so. Building something great requires working hard. We are in the office 6-7 days a week. We are meritocratic with very high standards. If you don't meet them, you'll get cut. But if you deliver, you have unlimited scope to grow. We move quickly, care deeply about talent density, and hire people who want to solve difficult problems with unusually high ownership. About the Role We're hiring a Senior Full Stack Software Engineer to lead the design and development of the systems that power our insurance companies and internal operations. You will own large technical initiatives across underwriting, claims, finance, compliance, and internal tooling. You'll work directly with leadership, product, and operations teams to build software that eliminates manual work and enables the company to scale. This role is for someone who wants significant ownership, enjoys solving complex problems, and can independently drive projects from concept to production. This role is based in our London office. What You'll Do Design, build, and maintain critical internal and customer-facing software systems. Lead the development of backend services, APIs, and scalable infrastructure. Own major projects from architecture through deployment and ongoing maintenance. Work across the stack to rapidly ship products and features. Partner closely with operations, finance, underwriting, and leadership teams to automate complex workflows. Improve system reliability, performance, security, and scalability. Make architectural decisions and establish engineering best practices. Mentor engineers and help raise the technical bar across the team. Help shape the future direction of our engineering organization. Who You Are Exceptional software engineering fundamentals. Comfortable operating with limited structure and high levels of responsibility. Strong product and business intuition. High ownership and relentless execution. Able to balance speed with sound technical judgment. Excited by difficult technical and operational challenges. Interested in building software that directly impacts how businesses operate. Preferred Experience 5+ years of software engineering work experience. Experienced in Typescript, Python, React, FastAPI, Django, Flask, and AWS. Strong experience designing distributed systems and scalable applications. Experience owning production systems and making architectural decisions. Familiarity with cloud infrastructure, APIs, databases, and modern development practices. Built significant personal, startup, or professional projects. Experience in fintech, insurance, workflow automation, or other complex operational businesses is helpful but not required. Why Join Build foundational systems for a new kind of insurance company. Own business-critical systems and technical decisions. Work directly with senior leadership and core operators. High ownership and visibility from day one. Competitive compensation and meaningful equity. Opportunity to help define how insurance infrastructure is built in the AI era. Office corgi!

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, application development, problem solving and communication to the Source to Pay Solutions Technology group. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth. Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Application Development Technology Lead is a senior level position responsible for Design, build, and enhance Java based backend services and Python enabled components for enterprise scale applications Own end to end delivery of features from design through production rollout Collaborate with global technology and business teams to deliver against regulatory and transformation priorities Apply agile engineering practices (iterative delivery, continuous improvement, pragmatic design decisions) Integrate GenAI capabilities (LLMs, APIs, workflow automation) into real world applications where they add value Mentor developers through code reviews, technical guidance, and hands on collaboration Ensure applications meet Citi standards for security, stability, and control What we'll need from you Strong hands on experience with Java (Spring Boot / Core); working knowledge of Python or strong willingness to ramp up quickly Full stack mindset with exposure to modern frontend frameworks (React, Angular, or similar) Experience delivering in Agile / Scrum environments with a bias toward action and ownership Practical exposure to cloud native architecture and scalable systems Awareness or hands on experience integrating GenAI / LLM based capabilities into applications, with a focus on integration and usage rather than deep ML research Strong communication skills and ability to work independently with minimal supervision What we can offer you This is a role that'll offer you the opportunity to build an in depth knowledge of financial services and business services operations across the bank. Every day there will be new business challenges that will help you develop new skills that can drive your career. We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best in class benefits they need to be well, live well and save well. By joining Citi Belfast, 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: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. Job Family Group Technology Job Family Applications Development Time Type Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.