1726 jobs found

As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems

ADP is hiring a Full Stack .NET based AWS Senior Software Engineer Being able to work independently with minimal guidance, the ideal candidate will have strong business acumen, broad technical skills, and experience managing enterprise development and integration projects. The successful candidate will have a strong understanding of advanced C#.Net, SQL & NoSQL databases and experience of building cloud native REST APIs and serverless applications. Technical leadership, including the ability to coach and train other developers and to drive continuous improvement through established agile practices is key to this role. You will be comfortable spending more time supporting others than hands on coding yourself. In addition, you will be a champion for quality with recognition for the importance of automated testing, meeting non functional requirements, maintaining operational tooling, and enabling continuous delivery. This role requires a deep understanding of both front end and back end technologies, cloud infrastructure, and a strong commitment to best practices. The role provides leadership and guidance for modern technology roll out across teams, ensuring the success for the modernization of ADP products. WHAT YOU'LL DO: Provide technical guidance and mentorship to a team of software engineers, fostering a culture of continuous improvement and innovation. Be a catalyst for strong agile behaviors - working alongside the scrum master to enable engineers to have responsibility and authority for their work and for the team to be introspective and self correcting. Set the gold standard for the team's output and inspire others to deliver to it by following your example. Guide the team to deliver at a predictable cadence without compromising quality or non functional concerns. Provide strong governance within the team to ensure adherence to the principles as laid out by the system architecture. Build good relationships with other functions such as Architecture, Product, other development teams and the wider business to ensure your team is building the right solutions in the right way. Ensure outcomes are identified and measured for success. Conduct code reviews, enforce coding standards, and ensure the quality and maintainability of the codebase. Identify and resolve performance bottlenecks in applications and optimize the use of cloud resources. Implement best practices for application security, data protection, and compliance with relevant regulations. Maintain growth through awareness of modern technologies, both for yourself and the team. Drive improvement individually and collectively, mentoring as the need arises and through dedicated sessions. Provide transparency to other parts of the organization on project progress, team maturity and ongoing challenges. Speak confidently about the technology used in each product and the associated benefits and drawbacks. Liaise regularly with internal onshore and offshore delivery teams including other ADP technology business units. Maintain a focus on how the software will deliver value to the end user and how it can be tested, deployed, maintained and operated. Ensure the work undertaken by the team is well scoped and clearly defined. Maintain awareness and support of ADP policies and procedures. Key Skills and Qualifications Experience in building, delivering and operating APIs at high availability and scale. Knowledge of automated testing frameworks and testing best practices. Deep understanding of agile engineering practices. Technical Expertise Proficient in .NET Core, C# and related technologies. Strong experience with front end technologies such as React, StencilJS, Web components & TypeScript. In depth knowledge of AWS services, including but not limited to ECS, S3, Lambda, RDS, API Gateway, CDK. Experience with containerization technologies such as Docker. Proficient in SQL and NoSQL databases (e.g. SQL Server, PostgreSQL, DynamoDB). Strong understanding of RESTful APIs and microservices architecture. Leadership and communication Proven track record of leading and delivering complex software projects from conception to production in an agile environment. Proven experience in leading and mentoring software engineering teams. Excellent communication skills, with the ability to articulate technical concepts to both technical and non technical stakeholders to help drive fast decisions. Cloud and DevOps Extensive experience with AWS cloud architecture and services. Experience with automated testing, and infrastructure as code (IaC) using tools like AWS CDK, Terraform etc. Design Principles Strong understanding of good coding and testing practices such as clean code, SOLID and TDD. Problem Solving and Analytical Skills Strong problem solving skills and the ability to think critically and creatively. Ability to make informed decisions under pressure and handle multiple projects simultaneously. Education and Experience Bachelor's degree in computer science, engineering, or a related field (master's preferred). Extensive commercial track record in software development, with a focus on full stack development and cloud based applications. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) are a plus. Preferred Skills and Qualifications Commercial track record of hands on experience in design, development, and delivery of cloud based applications. Understanding of modern web development, JavaScript frameworks and Micro Frontends. A good understanding of modern distributed systems concepts and the challenges involved. Ability to devise action oriented scheduling leading to delivery. Proven ability to partner effectively across functions, in complex organizations. Patience and dedication, with the ability to navigate complex environments through product knowledge and leadership style. The ability to adapt to change. Ability to identify, and focus on, what is important (Time Management and priorities tasks). Desirable skills and qualifications Experience of Payroll processes. Experience of HR processes. Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectionate or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. Ethics at ADP ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.

11698JS £450 - 460 per day Cloud Architect - Enterprise Cloud Migration Programme We're looking for an experienced Cloud Architect to lead the migration of a large-scale on premise estate (RHEL, Oracle, Microsoft) to our cloud platform. You'll own the target architecture, drive governance through the Architecture Review Board, define migration strategies, and ensure secure, resilient, and cost effective cloud adoption across the organisation. What you'll bring: 8+ years in IT with proven experience leading enterprise cloud migrations Deep expertise in Linux (RHEL), Oracle databases, and Microsoft technologies Strong cloud architecture, security, and governance experience Ability to influence stakeholders and drive architectural best practice Experience creating reference architectures, migration patterns, and operational guardrails Bonus points for: TOGAF, FinOps, Kubernetes, and experience in regulated environments. If you're passionate about cloud transformation and enjoy solving complex enterprise challenges, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Job Description Are you ready to transform the future of banking? Join our digital bank, Chase, as a Lead Software Engineer and be part of a team that's revolutionizing mobile banking with seamless journeys that our customers love. At JPMorgan Chase, we're building the bank of the future from scratch, offering you the opportunity to make a real impact. Our Developer Experience team is dedicated to providing an exceptional developer experience, fostering a culture of innovation and collaboration. Embrace the chance to grow your career in a diverse and inclusive environment where your unique perspective is valued. As a Lead Software Engineer within the International Consumer Bank, you will collaborate with development teams to enhance the developer experience, delivering end to end cutting edge solutions in the form of cloud native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide. Job responsibilities Self motivated who can drive epics individually with minimum support. Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment. Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Create secure and high quality production code to deploy infrastructure. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Add to the teams' culture, diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Understanding distributed systems and microservice architecture. Hands on practical experience in system design, application development, testing, and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languages. Overall knowledge of the Software Development Life Cycle. Understanding Agile methodologies, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, etc.). Experience with Public Cloud services in Production (we use AWS). Experience with Infrastructure as Code (Terraform or other). Ability to tackle design and functionality problems independently with little to no oversight. Experience in architecting, supporting, and implementing advanced, strategic CICD migrations. Preferred qualifications, capabilities, and skills Familiarity with modern front end or back end technologies. Debugging expertise in Kubernetes. Understanding of Infrastructure Tools, preferably Terraform, and AWS services understanding. Experience with any GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus. Proficient in coding in one or more languages. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate based on any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting accommodation.

Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

The Role We are looking for brilliant engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on a three trillion dollar market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. You'll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the front line of agentic systems. What You'll Do Design & build scalable, performant backend services and data pipelines written in Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems - enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets - model, transform, and index multi modal, multi terabyte enterprise datasets for advanced workloads. Develop enterprise level next generation AI systems with the support of Magentic's AI specialists. Ship complete customer features - from architecture and code to CI/CD, infra as code (Terraform), rollout, and user training. Collaborate directly with executives & operators - run white boarding sessions, turn ambiguous requirements into concrete specs, demo weekly, and iterate fast. Champion observability & reliability - instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response. Contribute across the stack - build lightweight front ends when needed and pair with ML engineers on inference and evaluation pipelines. You Might Be a Great Fit if You Have 6+ years of professional software engineering experience. Are fluent in Python and comfortable in TypeScript/JavaScript. Have built and operated data intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure). Know your way around relational, columnar, and KV/graph databases - and when to use which. Have integrated with real world enterprise stacks - authentication, SSO, legacy ERPs, message queues, ETL tools. Can take a loosely defined problem, sketch an architecture, and deliver a production ready solution in weeks, not months. Communicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call to debug an API contract. Thrive in an early stage, high ownership environment - prototype today, deploy tomorrow, iterate next week. Bonus Points Experience deploying or consuming LLM powered services (OpenAI, open source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience. Familiarity with supply chain, procurement, or manufacturing domains. Compensation And Benefits Competitive Equity: play a real part in Magentic's upside. A salary of £115,000 - £125,000 per annum. Visa sponsorship available. In office lunches provided. Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues. Salary sacrifice pension and nursery schemes. Hybrid London HQ (3-4 days in the office/customer site). Annual team retreat - a fully funded off site to recharge, bond, and build. Our interview process Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Paired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role. In person interview: for the final step, we invite you to come meet the team in person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This will include a culture interview, a founder interview and skills based interview(s) with the team. Equal Opportunities and Accommodations Statement At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers. Magentic is committed to creating a truly inclusive team and we're proud to be an equal opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly encourage applications from all backgrounds and cultures to apply. We recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone. Everyone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.

Strategic Partner Development Manager, AI Pureplay London, UK About the job As a Strategic Partner Development Manager, AI Pureplay, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud's product management, engineering, marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners sales organizations. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Job requirements Bachelor's degree or equivalent practical experience. 15 years of experience in partner management, business development, sales, or channel development in the technology industry. Experience participating in or coordinating AI/ML technical transformations, utilizing FDE or embedded delivery model. Preferred qualifications Experience launching partner products and solutions, including complex channel go-to-market motions such as multi-partner solutions, procurement through cloud marketplaces, and consumption-based solutions. Experience managing and growing technology partnership relationships with cross-functional teams internally and externally. Experience planning and managing at strategic and operational levels. Experience interfacing with, and being a trusted partner for, C-level executives in partner companies. Proficiency with Google Cloud AI offerings (Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source developer tool harnesses. Responsibilities Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence. Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures. Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud. Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal cloud AI product and Engineering teams. Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Senior .Net Core Developer 55K Location: East Midlands Industry: IT Salary and Benefits: £45,000 - £55,000 per annum, Healthcare, Pension, 25 days holiday, Flex hours, Home working Job Overview Responsible for designing and developing a large ASP.Net Core MVC Enterprise solution in a modern development environment that embraces Domain Driven Design (DDD). Work closely with the Project Manager and Technical Architect, write clean code and participate in cross training opportunities. Responsibilities Influential role in the design and development of a large ASP.Net Core MVC Enterprise solution. Collaborate with Project Manager and Technical Architect to deliver high quality code. Write clean, maintainable code that is accessible to the full team. Participate in cross training and maintain good communication within the team. Contribute primarily to middle and back end layers, with some front end development. Work on a large Greenfield project and adopt latest technologies, including DDD. Technical Environment .Net Core (solid ASP.Net MVC experience required, Core experience not mandatory) Visual Studio GIT (lab) TeamCity JavaScript / DevExpress / MVC HTML Domain Driven Design (DDD) Experience with AWS/NoSQL solutions is a plus but not required Qualifications Strong background in C# / ASP.Net development. Experience with Microsoft Stack and MVC architecture. Familiarity with NoSQL databases and cloud platforms (AWS preferred). Effective communication and teamwork skills. Benefits Competitive salary £45,000-£55,000 per annum, pension, healthcare, 25 days holiday, flexible working hours, and home working opportunities. Located in the East Midlands, easily commutable from Loughborough, Nottingham and Derby. Applications from all ages and backgrounds will be considered.

Job Summary:The Technical Data Analyst is responsible for maintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. This role requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability.Responsibilities:Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights.Build efficient and robust data systems and pipelines, ensuring seamless data flow.Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes.Showcase your findings using cutting-edge data visualization techniques, making data come to life.Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights.Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards.Develop and implement analytical tools and programs that empower teams to make data-driven decisions.Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence.Required Skills:Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).Understanding of database design and data warehouse principles.Strong understanding of investment data, good to haveKnowledge of one or more programming languages (e.g. Java, Python, VBA).Proficiency in data manipulation and data cleansing techniques.Knowledge of data governance and best practices in data management.Continuous improvement mindset for self and team.Ability to work collaboratively in a cross-functional team environment.Ability to work with large datasets and perform data mining tasks.Strong computer skills, including proficiency in Microsoft Office.Excellent attention to detail and strong documentation skills.Outstanding verbal and written communication skills.Strong organisational and interpersonal skills.Exceptional problem-solving abilities.Education and Experience:Bachelor's degree in data analytics, statistics, accounting, computer science, or related discipline.4+ years of relevant experience in data analytics, reporting, and visualization.Hands-on experience with SQL and NoSQL databasesExperience with data integration and exchange, transfer, load processes.Experience with data visualization tools such as Tableau, Power BI, or D3.js.Familiarity with dbt/Prophecy good to have, but not essential

Software Developer (Desktop & Cloud Applications) Salary: £40,000 - £45,000; Location: Scarborough, North Yorkshire; Hours: Monday to Friday, 8:30am - 4:30pm. Our Software Developer (Desktop & Cloud Applications) role is based in Scarborough, North Yorkshire, offering a salary of £40,000 - £45,000 and working hours Monday to Friday, 8:30am - 4:30pm. Hybrid working may be available once established. The Role Working across desktop and cloud technologies, you will develop a new Windows based application alongside supporting cloud infrastructure. Your involvement will span the entire software lifecycle, from architecture and technical design through to implementation, testing and continuous improvement. Key responsibilities include: Developing Windows desktop applications using C#, .NET and WPF Building APIs using ASP.NET Core Developing cloud synchronisation functionality Designing and maintaining SQL Server and SQLite databases Implementing authentication and user permissions Contributing to software architecture and technical decisions Developing new features and enhancing existing applications Working closely with Sales, Marketing and the wider R&D team to improve user experience Supporting the ongoing evolution of a scalable software platform About You You enjoy solving technical problems, take ownership of your work and seek a long term opportunity within a growing engineering business. You ideally have: Around 3 5 years' commercial software development experience Strong experience with C# and .NET Experience building desktop applications (WPF preferred) Experience developing REST APIs using ASP.NET Core Knowledge of SQL Server, SQLite or similar relational databases Exposure to cloud technologies (Azure experience advantageous) Experience delivering projects from concept through to release Confidence working independently within a small development team A genuine passion for software development and continuous learning Experience within engineering, manufacturing or scientific software would be advantageous but is not essential. Why Apply? You will be joining a stable, well-established engineering business with over 50 years of success, a strong commitment to innovation and an exciting roadmap for future software development. Benefits £40,000 - £45,000 salary 25 days holiday plus Christmas shutdown Enhanced employer pension Life insurance Company sick pay Free flu vaccinations Company events On-site parking Hybrid working once established

Mid-Level Software Developer - Android & Backend Location: Hybrid, UK-based, with a preference for candidates who can commute to our Wakefield, West Yorkshire HQ when required Contract: Full-time Salary: £40,000 - £50,000 per annum Department: Engineering About Boxbar Tech Boxbar Tech is an award-winning, high-growth technology company transforming the way drinks are served across stadiums, arenas, festivals, events and hospitality venues around the world. Our automated self service drinks technology helps our partners serve customers faster, reduce queues, improve drink quality and increase operational efficiency. Behind the physical hardware is a growing technology platform combining Android applications, cloud services, payment integrations, management software and real time data. We design, build, deploy and support our technology in live environments where performance and reliability genuinely matter. As Boxbar continues to scale, we are looking for a Mid-Level Software Developer who enjoys solving real world problems, working across a varied technology stack and taking ownership of features from initial design through to deployment. The Opportunity You will join a small, collaborative engineering team working across several products and technologies. No two weeks will be the same. You could be developing new features for our Android kiosk application, building backend services, integrating a new payment provider or investigating an issue involving hardware, software and networking. This is an excellent opportunity for a developer who enjoys broad technical challenges and wants the freedom to contribute ideas, influence technical decisions and see their work operating in major venues and events around the world. You will work closely with colleagues across Engineering, Product, Operations and Client Success to turn commercial and operational requirements into reliable, maintainable software. What You'll Be Doing Your responsibilities will include: Developing new features for our Android kiosk application Building and maintaining backend services and REST APIs Integrating third party payment providers and external platforms Working with cloud infrastructure and serverless technologies Supporting integrations between software, payment devices and physical hardware Investigating and resolving issues across applications, devices, hardware and networks Improving application performance, stability and reliability Contributing to architecture and technical design discussions Writing clean, testable and maintainable code Reviewing code and helping maintain high engineering standards Supporting deployment, monitoring and continuous improvement Working closely with Product and Operations teams to deliver new functionality Taking ownership of features from initial concept through to production What You'll Work On Projects may include: Android kiosk software Cloud APIs and backend systems AI assisted data analysis and internal insight tools Real time data processing Payment provider integrations Hardware and peripheral integrations Remote device management Internal operational tooling Application performance and reliability improvements About You We are looking for someone who: Enjoys learning and working with new technologies Takes ownership and follows work through to completion Approaches problems pragmatically Writes clean, maintainable code Is comfortable working independently while collaborating with a wider team Communicates technical information clearly Enjoys investigating complex problems rather than working within a narrow remit Can balance speed of delivery with quality and reliability Is comfortable in a fast moving scale up environment Wants to contribute ideas rather than simply implement specifications Essential Skills and Experience You will have experience in most of the following: Approximately three to five years of commercial software development experience Strong Java and/or Kotlin development skills Commercial Android application development Building or consuming REST APIs Working with SQL databases Git and collaborative source control workflows Object oriented programming principles Debugging complex software issues Writing clear, structured and maintainable code Managing your own workload and priorities Communicating effectively with both technical and non technical colleagues You do not need to have experience with every technology listed. Strong software engineering fundamentals, curiosity, and a willingness to learn are more important than matching the entire stack. Desirable Experience Experience in any of the following would be beneficial: AWS Serverless development using AWS Lambda or API Gateway PostgreSQL Firebase Docker Linux Python Node.js Networking fundamentals Payment integrations Bluetooth, USB or serial communications Embedded systems or IoT devices CI/CD pipelines GitHub Actions Applications interacting with physical hardware Remote monitoring or device management platforms Our Current Technology Stack Our current technology stack includes: Kotlin and Java Android AWS PostgreSQL Firebase Docker REST APIs GitHub Actions The stack will continue to evolve as the business and our products grow. Why Join Boxbar? Work on technology used in major stadiums, festivals, arenas and hospitality environments See the direct, real world impact of the software you build Take ownership of meaningful features and technical challenges Work across Android, backend, cloud, payments, data and hardware integrations Join a small team where your ideas and contributions will be visible Help shape engineering practices as the business scales Join an ambitious international technology company at an exciting stage of growth Interview Process Initial conversation with me on motivation, experience, communication and logistics Technical assessment around Android, backend, debugging and engineering judgement Final interview confirming ownership, collaboration and real world problem solving approach Equality and Inclusion Boxbar Tech is committed to creating an inclusive working environment and providing equal opportunities to all applicants. We welcome applications from people of all backgrounds and make employment decisions based on skills, experience, potential and suitability for the role. Please let us know should you require any reasonable adjustments during the recruitment process.

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. For more information visit Job Reference VN2508 Department description The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, programme, document, test, and delivery bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of Marex's business divisions and works with a corresponding Business Technology and Application Support team. Role Summary The QA proactively assists with the business stream Enterprise with increasing the quality of the systems they build and maintain. Working with QA, developers and stakeholders to strive to improve system reliability, ensure fulfilment of business requirements, and prevent regression. All employees are expected to understand and comply with any Sarbanes Oxley operational requirements relevant to their role. Responsibilities Role specific: Test automation: Design, build, and maintain automated test scripts and frameworks to reduce manual work. Shift-left integration: Collaborate early with developers and product managers to identify risks and define quality standards before writing code. CI/CD support: Integrate automated tests into continuous integration and deployment pipelines to provide rapid feedback on each code change. Technical Testing: Conduct specialized tests beyond UI checks, including API testing. Proactively investigating into performance/load testing, and database integrity verification. Defect management: Involves root-cause analysis to help developers prevent bug recurrence. Process governance: Establish and maintain quality standards, documentation, and select appropriate testing tools within the QA team. Coaching: QAs and developers on test quality, automation best practices, and testing discipline. Requirement Analysis: Reviewing business requirements and user stories to ensure they are clear, complete, and testable. Defect management: Find, log, and track bugs using Jira, collaborating with developers to confirm fixes. Quality reporting: Preparing reports for stakeholders detailing the software's readiness for release. AI: Championed AI-driven quality initiatives by leveraging Generative AI and NLP to automate the conversion of user stories into Playwright scripts, reducing script development time and increasing sprint velocity. All staff Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Competencies Excellent verbal and written communication skills. A collaborative team player, approachable, self-efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast-paced environment. Excels at building relationships, networking and influencing others. Maintain a commitment to continuous professional development by acquiring proficiency in emerging tools and frameworks. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Attention to detail and a passion for driving up the quality of software. Skills and Experience Essential: Middle Level QA Automation Engineer Experienced in the configuration and implementation of a cross section of automated testing approaches and tools; unit, UI, browser, contract/API, performance/load, Playwright, Postman, Swagger etc. Experienced in following application(s) all beneficial: JIRA, XRAY, WIKI, Bitbucket cloud, AWS, Splunk, SQL, MongoDB Understanding of software diagnostic tools and testing methods (automation, smoke, functionality, usability, performance, regression, and user acceptance). Experience working closely with development teams and championing an automation-first and shift-left approach to quality control. Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Agile and scrum development methodologies. Desirable Experienced in following domains all beneficial: Financial background Conduct Rules Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non-bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Inclusion Statement Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.