332 jobs found

Enterprise Solutions Architect - Fixed-Term Contract (12 Months) Department: Internal Technology Employment Type: Fixed Term - Full Time Location: Oxford, UK Description Based in Oxford, you will be the Enterprise Solutions Architect working in an architectural capacity on projects and ongoing maintenance of our enterprise systems landscape (including Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors). You will be part of the architecture function and liaise with internal teams and third parties to ensure systems integrate effectively, and input to processes and practices to ensure they are scalable, secure and robust. We are undertaking several strategic business programmes currently to refine/change our tier 1 systems, in your role you will be aligned to at least 1 of these strategic programmes with overall architectural responsibility, escalating where required, to the Head of Architecture and Engineering, or the Head of Internal Technology. The successful applicant will have a passion for solving business problems with technology and combine exceptional technical capabilities with great communication skills and understanding of how the business operates. The successful candidate will work in a creative, intellectually stimulating environment. You will enjoy autonomy, and the opportunity to have a significant impact on Aurora's digital strategy, ensuring that our enterprise systems are highly effective and meet the needs of this very fast growing, data heavy business. Key Responsibilities Lead as the Enterprise Solutions Architect for at least 1 of the strategic business programmes focused on our tier 1 systems (Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors) Champion enterprise architecture principles and governance whilst being hands on in delivery where required Be a confident technical liaison for 3rd party partners and internal stakeholders Ensure solutions are embedded through the engineering functions into operational readiness Make key decisions on how systems integrate, where and how data is mastered and how data flows between the systems, ensuring both the velocity and stability required Assure configuration, workflows and automation aligns with technology best practice and architectural standards within Aurora Ensure effective governance and integrity of system boundaries; be aware of and mitigate the risk of boundary creep Contribute to policies and practices to ensure our enterprise systems remain scalable, secure, and robust and that third party software across the business is appropriately managed Be a key resource for our Systems Managers (business partners with Aurora departments), providing architectural input to stakeholder requirements, guiding senior stakeholders as required, identifying and delivering scalable solutions Skills, Knowledge and Expertise Required attributes: Proven experience operating as an Enterprise Architect across multiple domains and delivery streams, with demonstrable impact through roadmaps, standards and governance Deep experience working with and governing 3rd Party integration partners, holding them to account and ensuring delivery and architectural alignment Strong understanding of EA disciplines (business/data/application/technology) and ability to connect them to portfolio and operating model decisions Track record defining and executing target-state architectures and transition roadmaps (incremental, time to value-led, dependency aware) Hands on experience implementing architecture governance: principles, standards, architecture reviews, exception management and decision records Microsoft ecosystem architecture depth relevant to the organisation's stack, including: Dynamics 365 F&O integration approaches and guidance Salesforce integration approaches and guidance SAP SuccessFactors integration and guidance Power Platform/Dataverse governance and ALM best practice; environment strategy and DLP controls Data Foundation expertise leveraging Microsoft data technologies with particular focus on Microsoft Fabric (or equivalent modern Lakehouse patterns), including governance/lineage and enabling self service analytics safely Enterprise SaaS integration across domains with Salesforce CRM, Dynamics 365 F&O & SAP Success Factors Strong integration design capability: Domain Driven Design, event based integration, API design principles, resilience patterns, operational considerations (SLAs, observability, incident readiness) Excellent stakeholder management and communication: can influence at exec level, simplify complex trade offs, and align diverse teams behind common patterns and outcomes Desirable attributes: TOGAF certification or equivalent applied EA practice Experience establishing EA repositories/tooling, platform guardrails, and measurable architecture outcomes (reuse, risk reduction, simplification) What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

Location Overview The Cboe office in London is situated in The Monument Building, a modern space that spans two floors and features a spacious outdoor balcony. From the balcony, employees can enjoy stunning views of some of London's most iconic architectural landmarks, adding a unique touch to the work environment. The building is equipped with convenient amenities for office commuters, including bike storage and showers, making it easy for staff to freshen up after their commute. Its prime location in the heart of London's financial district ensures that employees have easy access to a variety of cafes, restaurants, and shops, creating an ideal balance of work and leisure. The office is located directly adjacent to the historic Monument to the Great Fire of London and is just across the street from the Monument Underground Station. This provides convenient transport links, with access to the West End in less than 15 minutes. The location blends the vibrancy of central London with the business-centric atmosphere of the City, making it an attractive hub for professionals. Role Overview The Network Operations Center (NOC) Engineer is a core member of Cboe's global infrastructure organization, responsible for operating, supporting, and continuously improving the reliability, performance, and fairness of network connectivity across highly distributed, latency-sensitive trading platforms spanning on-prem and cloud environments. This is a hands-on engineering role for experienced network technologists with deep expertise in routing, MPLS, firewalls, and packet-level troubleshooting, combined with working knowledge of cloud networking and automation. NOC Engineers function as true engineers-owning complex troubleshooting, real-time monitoring, incident response, change execution, and customer connectivity onboarding-while operating independently with minimal supervision. They collaborate directly with internal engineering teams and external customers, serve as escalation points, and communicate clearly with both technical stakeholders and senior leadership, translating complex issues into actionable outcomes. The role also emphasizes building efficient, modern operations through scripting, automation, and API-driven workflows to improve observability, accelerate root cause analysis, and reduce mean time to repair (MTTR). While familiarity with AI-assisted tooling is beneficial, the primary focus is on strong engineering fundamentals and practical automation that reduces operational friction. Success in this role requires sound operational judgment, strong communication skills, and the ability to translate complex telemetry and packet-level data into clear, actionable insights. Engineers are expected to perform effectively in a high-availability, always-on environment while supporting and evolving a next-generation, software-driven network and cloud operations function. Engineer and support customer connectivity across on prem and cloud environments, including circuit provisioning, AWS networking, and VPN connectivity, while configuring and deploying production changes across routing, firewall, and cloud network infrastructure Troubleshoot and support complex network environments (BGP, OSPF, MPLS, multicast, HSRP), partnering with customers and internal teams to validate connectivity, onboard new participants, and resolve issues across latency sensitive trading systems Provide real-time monitoring and incident response for global network infrastructure, analyzing telemetry, packet loss, and performance data to proactively identify issues and drive rapid resolution with clear communication Deliver high-quality customer support through ticket queues and direct engagement, serving as a trusted technical resource and ensuring clear, timely communication with both customers and internal stakeholders Lead escalations and advanced troubleshooting efforts across network, cloud, and infrastructure domains, collaborating with engineering teams and vendors to restore service and resolve complex issues Develop and maintain automation, monitoring enhancements, and observability tooling using scripting and API-driven integrations to improve efficiency, visibility, and troubleshooting speed Perform deep packet analysis and contribute to root cause investigations, translating low-level network data into clear findings that support long-term problem management and service improvement The ideal candidate has 3+ years of hands-on network engineering experience across Cisco, Arista, and/or Palo Alto environments, with strong fundamentals in routing, switching, and firewall technologies Experience troubleshooting complex network issues, including packet analysis using tools such as tcpdump, Wireshark, tshark, or similar 2-3+ years of UNIX/Linux experience, including shell access and command-line troubleshooting, with an emphasis on network diagnostics Experience with scripting and/or API-driven automation to improve operational efficiency and reduce manual effort Preferred Qualifications Working knowledge of AWS cloud networking, including VPCs, routing, security groups, and hybrid connectivity models Familiarity with network observability and monitoring tools (e.g., Grafana or similar) for telemetry analysis and troubleshooting Experience with advanced packet capture platforms (e.g., Corvil) or equivalent high-performance analysis tools Relevant industry certifications such as Cisco, AWS, Palo Alto, CompTIA Network+/Security+, or similar Benefits and Perks We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Private Medical Insurance Life Insurance GP Service Fitness Corporate Membership Employee assistance Program (EAP) Eye Care Short Term Incentive (STI) Pension Income Protection Accident Insurance Business Travel Insurance Associate Referral Program Perks at Work Employee Stock Purchase Plan (ESPP) Season Ticket Loan LinkedIn Learning courses Service Awards Free lunch when in office Corporate Events Education Assistance Holiday (Annual Leave) Other Forms Enhanced Leave (Maternity, Paternity, Adoption, Compassionate Leave, Community Service / Volunteering Day & School Visit) Working Abroad Days Allowance More About Cboe Europe We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or Veteran status. We are committed to fostering a workplace where all individuals are valued and respected. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes. Cboe is always looking for intelligent, innovative and hard-working individuals. Our success is based on our talented team of industry and technology professionals, which we believe is the strongest in the industry, and we pride ourselves on hiring the best and brightest. Cboe Global Markets is an Equal Opportunity Employer. For more information, please click the following links: Equal Employment Opportunity is The Law (in English) Equal Employment Opportunity is The Law (in Spanish) Equal Employment Opportunity is The Law (Supplement) E-Verify Participation Poster (English & Spanish) Right to Work Poster (English) Right to Work Poster (Spanish) If you have been contacted about a job opening at Cboe by someone that does not have email, this is NOT a trusted source. Cboe only utilizes emails or Linkedin messaging for recruitment purposes. Cboe does not use any other third-party messaging applications. We recommend that you refrain from responding to Cboe recruitment emails that are not from a email address and to file a complaint with the Internet Crime Complaint Center IC3 at If you have further questions, please reach out to the Cboe HR team at

The Role We're looking for a Senior Azure Platform Engineer to help design, build and operate secure cloud platforms for complex, high-assurance environments. You'll be working across Azure infrastructure, Kubernetes, automation, networking and DevOps tooling, helping to deliver reliable, scalable and secure platforms that support critical digital services. This is a hands on engineering role, but one that also requires technical ownership, strong judgement and the ability to work closely with architects, delivery teams, developers and operational stakeholders. You'll be joining a collaborative technical team focused on building platforms properly - secure by design, automated where possible, supportable in live service and capable of scaling as requirements evolve. Key Responsibilities In this role, you will: Design, build, administer and maintain Azure infrastructure across services including Azure Kubernetes Service, Virtual Machines, Application Gateways, databases, storage and networking. Architect and manage hybrid and multi-cloud connectivity, including site-to-site VPNs, BGP routing, Azure Virtual WAN and hub-and-spoke network configurations. Apply cloud security best practice across Azure environments, including Azure Key Vault, Microsoft Defender for Cloud, Azure RBAC, network segmentation, NSGs and Private Endpoints. Configure, maintain and optimise Kubernetes environments to support secure, scalable and resilient application deployments. Design and build CI/CD pipelines to improve deployment quality, speed and consistency. Support both cloud and on-premise platforms, using automation and Infrastructure as Code to improve reliability, repeatability and maintainability. Implement monitoring, alerting and observability solutions to track platform health, performance and availability. Manage source control, repositories and versioning practices to support effective collaboration and code governance. Drive automation across platform operations, reducing manual intervention and improving service reliability. Provide technical guidance to development and engineering teams on how to use platform services effectively. Support improvements around platform security, scalability, maintainability, supportability and performance. Keep up to date with emerging cloud, platform and DevOps technologies, helping to continuously improve engineering practices. What We're Looking For We're looking for someone with strong Azure platform engineering experience, a security conscious mindset and the ability to take ownership in complex technical environments. You don't need to tick every box, but we'd be particularly interested in experience across: 5+ years' experience in Platform Engineering, Site Reliability Engineering, DevOps, Platform Integration or a closely related role. Strong hands on Azure experience, ideally supported by Azure Administrator Associate (AZ-104) and Azure Solutions Architect Expert (AZ-305) certifications. Deep knowledge of Azure networking, including Virtual WAN, ExpressRoute, VPN Gateways, BGP routing, NSGs and Private Endpoints. Strong Kubernetes experience, including configuration, container orchestration and supporting production grade deployments. Experience with Terraform and HashiCorp tooling such as Packer and Vault. Strong CI/CD pipeline experience using tools such as GitHub Actions, GitLab CI/CD or similar. Good understanding of Git, repository management and modern software delivery workflows. Experience driving automation initiatives that improve operational efficiency, consistency and reliability. Strong communication skills, with the ability to work effectively across engineering, architecture, delivery and operational teams. Good problem solving ability and the confidence to operate in fast paced, technically complex environments. Experience with JFrog tooling, such as Artifactory, XRay or Runtime, and/or Coder would be advantageous. Experience with other cloud platforms such as AWS or Google Cloud would also be beneficial. A degree in Computer Science, Engineering or a related technical discipline would be useful, although equivalent practical experience is just as valuable.

About the Company the company is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At the company, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join the company and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description We are looking for a senior Software Development Engineer for the e-Wallets team in the Currencycloud/the company Direct area. Our B2B product powers important fintechs and neo-banks, and we're actively working on a significant up scaling of our current product line to support Tier 1 banks. In this role, you will own software features across the full development lifecycle - from requirements and technical design through implementation, testing, release, monitoring, and production support. While you will be accountable for delivering high quality outcomes end to end, you will do so in a highly collaborative engineering environment, working closely with your teammates throughout the design and implementation process. You will also work in a modern development environment where engineering is guided and accelerated by generative AI tools, including Claude Code and GitHub Copilot. These tools will support day to day development by helping explore design options, generate and refine code, improve test coverage, troubleshoot issues, and streamline engineering workflows. Key Responsibilities Own software features end to end, from requirements analysis and design through development, testing, deployment, monitoring, and production support. Collaborate closely with teammates during solution design, technical planning, implementation, and review, ensuring shared understanding and strong technical outcomes. Partner with product owners, architects, engineers, QA, operations, and compliance teams to translate business needs into secure, scalable technical solutions. Build and enhance enterprise scale web services and distributed APIs that support high volume financial technology platforms. Develop primarily in Java, with opportunities to work with Ruby where needed. Work with container based technologies to build, deploy, and operate scalable services. Use Claude, GitHub Copilot, and other AI assisted development tools to accelerate development, evaluate implementation approaches, generate tests, analyze issues, and improve productivity. Participate actively in design discussions, implementation planning, pairing or peer reviews, and technical decision making. Lead by example in writing extensible, reusable, maintainable code that follows engineering best practices, security standards, and regulatory expectations. Contribute to a culture of shared code ownership, constructive feedback, and continuous improvement. Lead or participate in code reviews, helping ensure quality, consistency, maintainability, and knowledge sharing across the team. Develop and maintain automated tests, identify test gaps, and improve overall release confidence. Debug and troubleshoot moderately complex to complex software issues across development, testing, staging, and production environments. Use logs, metrics, monitoring tools, and data analysis to identify patterns, defects, and opportunities for improvement. Participate in on call rotations, incident response, root cause analysis, and production issue resolution. Help improve developer productivity by enhancing internal tools, automation, documentation, and engineering workflows. Mentor and support other engineers through technical guidance, collaborative problem solving, and knowledge sharing. Stay current with emerging technologies and recommend practical improvements that enhance system performance, reliability, team efficiency, and developer experience. Experience owning product features from concept through release while collaborating closely with engineering teammates. Basic Qualifications 5+ years of relevant work experience. Professional experience in software engineering or a directly related technical field. Experience designing, developing, or implementing web based or service oriented applications. Hands on experience with Java and event driven architectures. Experience working with APIs, backend services, or distributed systems. Experience collaborating with engineers, product managers, QA, operations, or other cross functional partners to deliver technical solutions. Experience participating in technical design discussions, implementation planning, or peer review processes. Experience debugging, troubleshooting, and resolving software issues. Experience creating or maintaining test plans and executing testing procedures. Experience participating in or leading code reviews and applying coding standards. Experience in a technical leadership role, with or without direct people management responsibilities. Experience building, enhancing, or improving developer tools, automation, or engineering workflows. Digital fluency and willingness to use emerging technologies, including generative AI tools, to support daily engineering work. Experience working with container based technologies such as Docker and Kubernetes. Preferred Qualifications Experience building, testing, and operating enterprise scale web services. Experience with Kafka and SpringBoot. Experience designing, developing, or consuming distributed APIs in production environments. Familiarity with Ruby or willingness to work with Ruby based components as needed. Experience using GitHub Copilot, Claude, Cursor, or similar generative AI tools as part of the software development workflow. Strong understanding of secure software development practices, testing strategies, observability, and production support. Experience in the FinTech sector. Ability to communicate clearly with technical and non technical stakeholders. Strong collaboration skills, including the ability to give and receive feedback, align on technical decisions, and contribute to shared team goals. Work Location The company requires at least 3 days in office. The exact days will be confirmed by your Hiring Manager. EEO Statement Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. The company will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job Description 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 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 Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of diversity, 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) Demonstrated experience leading effective use of enterprise authorized AI assist ed software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. 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 Equal Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Overview: In the role of Staff Network Engineer, you will serve as a technical architect and senior project lead for Ripple's global office networks. You will enable world class, 99.9% uptime network and internet access, and support Ripple's accelerated growth through new office network design and commissioning. We want a high-impact individual contributor who defines Ripple's standard for global connectivity, and approaches networking from a lens of continuous improvement and an end user experience first mentality. This position blends high level planning with practical senior engineering to support a workforce spread around the world. Key Responsibilities Architectural Leadership: Define and maintain Ripple Office networking standards, in a way that promotes continuous improvement, agile scalability, and a world class end user experience. Act as the final technical point of contact for resolving any critical issues in the global network infrastructure. NetDevOps and Automation: Grow the next generation of network operations at Ripple, by developing best practice utilization of automation, version control, and continuous integration/continuous deployment (CI/CD). Replace manual "copy paste" configurations with cloud managed deployment, reconciliation, and validation tooling. Security and Zero Trust: Collaborate with the Information Security and other cross functional teams to drive the next generation of network security at Ripple, implementing Zero Trust Network Access (ZTNA). Develop a security and compliance posture that is world class, but carefully balances user experience. Infrastructure Life Cycle: Manage multi million dollar global hardware through a full lifecycle of design, deployment, maintenance, and upgrades. Reliability Engineering: Ownership of Ripple's 99.9% Network availability SLA. Develop changes to architecture needed to robustly meet this SLA, and develop advanced observability to accurately measure adherence. Vendor and Project Management: Manage relationships with ISPs, hardware vendors, and professional services providers. Lead cross functional projects to meet international deliverables. Required Technical Expertise Expert level understanding of Arista EOS (CloudVision) and Aruba Central. Deep experience with Palo Alto Networks (Panorama, GlobalProtect, and Prisma or equivalent experience) Great understanding of cloud based Radius/TACACS+ authentication and certificate management platforms such as Arista AGNI, Foxpass, and ClearPass. Expertise in Arista (EOS/CloudVision) and Juniper (JunOS) switching/routing stacks. Experience with MLAG and LACP switch stacking for high availability. Senior level experience with Aruba wireless solutions, particularly Aruba Central in extensive global deployments with high user density. Proficiency in NetDevOps tooling such as Python, Ansible. Advanced administration of tools like Infoblox (DNS/DHCP/IPAM) in a high availability, multi site environment. Proficiency with SNMP based alerting and logging platforms (Auvix, Logicmonitor, etc) Expert knowledge of core protocols and standards such as BGP, BFD, STP, and 802.11ax/be wireless standards. Experience with network modernization practices like SD WAN and ZTNA Experience with new office network design and installation WHO WE ARE: Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full time employees. Equal Opportunity Employer Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

Enterprise Solutions Architect Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will be the Enterprise Solutions Architect working in an architectural capacity on projects and ongoing maintenance of our enterprise systems landscape (including Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors). You will be part of the architecture function and liaise with internal teams and third parties to ensure systems integrate effectively, and input to processes and practices to ensure they are scalable, secure and robust. We are undertaking several strategic business programmes currently to refine/change our tier 1 systems, in your role you will be aligned to at least 1 of these strategic programmes with overall architectural responsibility, escalating where required, to the Head of Architecture and Engineering, or the Head of Internal Technology. The successful applicant will have a passion for solving business problems with technology and combine exceptional technical capabilities with great communication skills and understanding of how the business operates. The successful candidate will work in a creative, intellectually stimulating environment. You will enjoy autonomy, and the opportunity to have a significant impact on Aurora's digital strategy, ensuring that our enterprise systems are highly effective and meet the needs of this very fast growing, data heavy business. Key Responsibilities Lead as the Enterprise Solutions Architect for at least 1 of the strategic business programmes focused on our tier 1 systems (Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors) Champion enterprise architecture principles and governance whilst being hands on in delivery where required Be a confident technical liaison for 3rd party partners and internal stakeholders Ensure solutions are embedded through the engineering functions into operational readiness Make key decisions on how systems integrate, where and how data is mastered and how data flows between the systems, ensuring both the velocity and stability required Assure configuration, workflows and automation aligns with technology best practice and architectural standards within Aurora Ensure effective governance and integrity of system boundaries; be aware of and mitigate the risk of boundary creep Contribute to policies and practices to ensure our enterprise systems remain scalable, secure, and robust and that third party software across the business is appropriately managed Be a key resource for our Systems Managers (business partners with Aurora departments), providing architectural input to stakeholder requirements, guiding senior stakeholders as required, identifying and delivering scalable solutions Skills, Knowledge and Expertise Required attributes: Proven experience operating as an Enterprise Architect across multiple domains and delivery streams, with demonstrable impact through roadmaps, standards and governance Deep experience working with and governing 3rd Party integration partners, holding them to account and ensuring delivery and architectural alignment Strong understanding of EA disciplines (business/data/application/technology) and ability to connect them to portfolio and operating model decisions Track record defining and executing target-state architectures and transition roadmaps (incremental, time to value led, dependency aware) Hands on experience implementing architecture governance: principles, standards, architecture reviews, exception management and decision records Microsoft ecosystem architecture depth relevant to the organisation's stack, including: Dynamics 365 F&O integration approaches and guidance Salesforce integration approaches and guidance SAP SuccessFactors integration and guidance Power Platform/Dataverse governance and ALM best practice; environment strategy and DLP controls Data Foundation expertise leveraging Microsoft data technologies with particular focus on Microsoft Fabric (or equivalent modern Lakehouse patterns), including governance/lineage and enabling self service analytics safely Enterprise SaaS integration across domains with Salesforce CRM, Dynamics 365 F&O & SAP Success Factors Strong integration design capability: Domain Driven Design, event based integration, API design principles, resilience patterns, operational considerations (SLAs, observability, incident readiness) Excellent stakeholder management and communication: can influence at exec level, simplify complex trade offs, and align diverse teams behind common patterns and outcomes Desirable attributes: TOGAF certification or equivalent applied EA practice Experience establishing EA repositories/tooling, platform guardrails, and measurable architecture outcomes (reuse, risk reduction, simplification) What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

About Us Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company. Our headquarters are in London, and we have key offices in Poland, Lisbon, Hong Kong, Gothenburg, Malmo and New York. Job Overview Macrobond is building a dedicated engineering capability to accelerate the development of AI-native products and workflows. As a Senior Fullstack Engineer, you will play a key role in delivering scalable, high quality software across the platform, contributing to areas such as semantic search, knowledge systems, and AI assisted research workflows. You will be responsible for designing, building, and maintaining end to end product capabilities, working across frontend, backend, and data layers. This role focuses on strong execution, technical ownership within defined areas, and close collaboration with Product, Design, and AI teams to deliver features that enable faster discovery, analysis, and decision making. Job Responsibilities System Design and Development Design and implement scalable, reliable full stack solutions across frontend and backend systems Own and deliver components and services within a defined product area Contribute to architectural decisions within your domain, ensuring maintainability and performance Ensure code quality through testing, code reviews, and adherence to engineering standards Product Delivery Translate product requirements into well structured technical solutions Deliver features end to end, from design through to production deployment Balance delivery speed with long term system quality and sustainability Identify and resolve technical risks, constraints, and dependencies AI Enabled Product Development Integrate AI capabilities into product workflows (e.g. search, insights, automation) Collaborate with AI Engineering to incorporate models, services, and pipelines into user facing applications Ensure reliability, observability, and performance of AI driven features in production Contribute to evaluation and iteration of AI powered capabilities Cross Functional Collaboration Work closely with Product Managers and Designers to shape and refine solutions Collaborate with other engineers to ensure consistency across systems and services Contribute to team delivery processes, including sprint planning, reviews, and retrospectives Support alignment across teams when working on shared systems or dependencies System Quality and Operations Build and maintain robust APIs, services, and frontend applications Ensure systems are secure, observable, and performant in production Monitor, debug, and resolve production issues Contribute to continuous improvement of development workflows, tooling, and infrastructure Required Qualifications and Experience Strong experience building and delivering full stack applications in a production environment Proven ability to design and implement scalable backend services and intuitive frontend interfaces Proficiency in modern frontend frameworks and backend technologies (languages/frameworks vary by stack) Experience working with APIs, distributed systems, and data intensive applications Solid understanding of system design, performance optimization, and reliability Experience integrating external services, including AI/ML capabilities, into applications Strong collaboration skills, with experience working closely with Product and Design Ability to work through ambiguity and independently drive technical solutions Experience working in fast paced, iterative development environments What do we offer Private medical insurance, inclusive of dental, vision, and hearing Life insurance Company pension scheme, with a strong employer contribution Gym discounts 25 days holiday per annum 2 Macrobond days to use per annum for volunteering Our commitment to Diversity At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By joining our team, you become part of an organization that believes diversity drives innovation and strengthens our collective performance. By using this website and submitting your information, you acknowledge our Candidate Privacy Notice and understand that your personal information may be processed in accordance with applicable Candidate Privacy Notice in your country of application. Apply today and become part of our exciting journey! Apply today and become part of our exciting journey!

Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.

Hitachi Digital Services seeks a senior SRE/DevOps professional to lead the Site Reliability Engineering practice, transforming operations toward proactive, engineering-led reliability. You will define NFRs with FMEA-based methods, champion observability, self-healing automation, and automated incident management, while ensuring cost efficiency and continuous improvement. Responsibilities include defining NFRs, building self-healing automation, and leading DB automation with UK release

We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Job Title Senior Platform Engineer Job Description So, who are we? IG is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions - built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. The bar is high - bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG - the future gets built here. Your team This role is part of our Platform Engineering team they are responsible for building the cloud and containers platform landscape to support the business applications via self-service capabilities and automation. Your role in the Team's Success The Senior Platform Engineer is a hands on technical contributor responsible for building, evolving, and maintaining cloud platform infrastructure to ensure it is secure, scalable, reliable, and cost effective. The Senior Platform Engineer embeds best practices into platform design and delivery across Engineering, Security and FinOps. They operate as a hands on expert, contributing to complex technical decisions, reducing platform risk, and enabling engineering teams to build and operate services with confidence, speed, and financial discipline. The role includes mentoring junior engineers and supporting knowledge sharing across the team. What you'll do Design and architect scalable AWS cloud infrastructure, developing IaC solutions using Terraform and leading cloud technology evaluation and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, establishing DevOps and DevSecOps best practices across the organisation Architect and manage Kubernetes environments (EKS, AKS, GKE) and implement platform engineering tools to deliver self service capabilities via an IDP (e.g. Backstage) Define and enforce monitoring, alerting, and observability standards to ensure infrastructure reliability and performance Foster collaboration between development and operations teams, bridging gaps to drive a unified engineering culture Mentor junior engineers, share knowledge across the team, and write and maintain documentation to support continuous learning and engineering best practices What you'll need for this role Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands on experience designing and administering complex platforms across AWS, GCP, and Azure, including deep knowledge of networking (VPC, Direct Connect, Transit Gateways, BGP, OSPF) and IaaS/PaaS architectural patterns Infrastructure-as-Code & Automation: 2+ years with IaC tools (Terraform or Ansible) and hands on experience with orchestration and automation platforms (AWX, Ansible Tower, Terragrunt), scripting in Python, Bash, or Go DevOps & DevSecOps: 2+ years designing and implementing CI/CD pipelines using Jenkins, GitLab, GitHub Actions, or equivalent, with strong knowledge of security best practices including secrets management, vulnerability scanning, and compliance Kubernetes & Containers: 2+ years of Kubernetes administration across on premises and cloud environments (EKS preferred, AKS, GKE), with proficiency in networking, RBAC, pod security, service mesh (Istio), and Docker image management Platform Engineering & Developer Tooling: Experience implementing developer portals (Backstage), artifact repositories (JFrog Artifactory, Nexus), API gateways, and self service platform engineering tools to support internal teams Observability & Reliability: Hands on experience with monitoring and observability platforms (Honeycomb, Prometheus, Grafana), including defining alerting standards and ensuring infrastructure reliability at scale Architecture & Design: Strong grasp of microservices architecture, cloud networking protocols (Layer 2/3, MPLS), DNS, load balancing, and traffic management, with the ability to contribute to and implement technical direction Version Control & Collaboration: Proficiency across version control systems (Git, GitHub, GitLab, Bitbucket) with the ability to operate autonomously and contribute to engineering standards across teams How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office - which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here. The Perks Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Learn more about the Perks here! Join us for this exciting journey.

Are you a senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up - where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers who are curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence how the platform evolves. This is a hands-on senior role with real architectural scope, active cross-functional collaboration, and strong support for internal mobility and upskilling. Job responsibilities Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm, including enterprise AI and large language model gateways Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Demonstrated expertise building production-grade backend services and data pipelines in Python Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS) Ability to own technical components end-to-end - from design through deployment and observability Strong collaboration skills with the ability to work across engineering, product, and data science disciplines Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling Familiarity with vector search, embeddings, or retrieval-augmented generation (RAG) patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load / data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment

Cloud Operations Engineer Overview At Mimecast, we operate at scale-protecting billions of emails daily across a global hybrid-cloud infrastructure. If you're passionate about reliability, automation, and solving complex challenges in mission-critical environments, this is the opportunity for you. Why Join Us "This is a hands-on role in a team responsible for ensuring Mimecast's Hybrid Cloud infrastructure remains secure, resilient, and scalable. You'll work with cutting-edge technologies like Kubernetes, AWS, and Infrastructure-as-Code, all while collaborating with a supportive and talented team. If you're excited about making a real impact and growing your career in our Cloud Platform Team, I'd love to hear from you." - Hiring Manager, Cloud Platform AI-First Engineering at Mimecast Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, from code development to testing, documentation, and operations. We're looking for leaders who don't just use AI tools but champion their adoption and establish new ways of working. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as "Agents of Change" in Human Risk Management. Engineers here work at the intersection of cutting-edge AI tooling and AI-powered security products that protect organizations worldwide. What You'll Do: Ensure platform reliability : Configure and maintain infrastructure to ensure optimal performance, security, and availability. Manage containerization platforms : Operate and improve Kubernetes and AWS EKS to support Mimecast's microservices architecture. Automate infrastructure : Build reusable Infrastructure-as-Code (IaC) and automation to standardize infrastructure provisioning and deployment processes. Troubleshoot and resolve issues : Identify and resolve infrastructure issues across Linux and Kubernetes systems in a hybrid-cloud environment, minimizing downtime. Enhance security : Strengthen the security posture of infrastructure configurations, aligning with the latest cybersecurity standards. Improve processes : Collaborate with the team to continuously refine operational processes and documentation. Maintain observability tools : Manage and operate monitoring and observability tools like Graphite, Prometheus, Grafana, Elastic, Nagios, and LogScale. Support engineering teams : Provide exceptional support to internal Product and Engineering teams, meeting their requirements for the Mimecast Cloud Platform. Participate in on-call rotations : Support the team by participating in on-call rotations and performing out-of-hours maintenance as necessary. What You'll Bring: Technical expertise : Experience in roles such as Site Reliability Engineer (SRE), Platform Engineer, Cloud Operations, or Sys Admin. Kubernetes proficiency : Strong hands-on experience with Kubernetes (k8s) and containerization in production environments. Linux expertise : Proficiency in maintaining and troubleshooting Linux operating systems and distributed systems at scale. Infrastructure knowledge : Solid understanding of core infrastructure services such as DNS, Identity Management, load balancers, and web servers. Networking basics : Foundational knowledge of computer networking. IaC and scripting : Experience with Infrastructure-as-Code tools like Terraform/CloudFormation and configuration management tools like Puppet. Proficiency in at least one programming or scripting language. Proactive problem-solver : A proactive attitude with a willingness to take on new challenges, deliver results, and learn new technologies quickly. Collaboration skills : Outstanding communication and social skills, with the ability to connect with others and problem-solve effectively. Why This Role: Global impact : Join a cybersecurity company operating at genuine global scale, protecting organizations and their people. Engineering excellence : Be part of a Cloud Platform organization that values automation, reliability, and doing things properly. Competitive rewards : Enjoy competitive compensation as part of a broader total rewards package, including benefits and wellbeing programs. Career growth : Access opportunities to develop expertise in hybrid-cloud infrastructure, Kubernetes, and automation, with clear paths to senior engineering roles. Collaborative culture : Work alongside experienced engineers and leaders who invest in your development. Career Growth Opportunities Develop deep expertise in hybrid-cloud infrastructure, Kubernetes, and automation. Build strong Infrastructure-as-Code and automation skills in a production environment that demands them. Grow into senior engineering or team lead roles within Cloud Platform. Work alongside experienced engineers and leaders who are committed to your development. Manager's Working Style & Team's Purpose The Site Reliability Engineering team exists to ensure the reliability and resiliency of Mimecast's Hybrid Cloud infrastructure. The team's purpose is to deliver a platform that is secure, performant, and scalable, enabling Product and Engineering teams to innovate faster and deliver more value to customers. Day-to-day, you'll work in a collaborative environment, tackling complex challenges and contributing to the continuous improvement of Mimecast's infrastructure. The expectation is hands-on technical credibility combined with a proactive approach to problem-solving and teamwork. Join our Cloud Platform team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is £64,000 £96,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course. We're proud to be an Equal Opportunity and Affirmative Action Employer, and we'd encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. 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. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

Senior Platform Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Stephen Pope Compensation: £70,000 - £90,000 / year Description We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision making for frontline teams, and protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 160 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest growing engineering businesses. About the role We're seeking a Senior Platform Engineer to help build the engineering platform that underpins how Rowden develops, deploys, and operates technology. The platform will improve developer experience and make Rowden's engineering faster, more consistent, more scalable, and more secure. This is a high impact opportunity to shape the foundations of one of the UK's most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, you'll be hands on in delivering the platform vision and improving engineering experience. You'll play a critical role in building the tooling, infrastructure, and capabilities that enable our engineers to solve complex customer problems. Candidates must be eligible for SC Clearance. More information about security clearance is available here: Key areas of responsibility Working within the Platforms team, you'll build robust platform services, enabling self service infrastructure, seamless CI/CD, and strong observability, while also supporting API first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through high quality engineering - setting standards and patterns that teams can adopt with confidence. As a Senior Platform Engineer, you will be responsible for: Designing, building, and maintaining core platform infrastructure and services. Developing and evolving internal developer platform (IDP) capabilities, including self service provisioning and deployment workflows. Designing and supporting API first architectures to enable interoperability between systems, services, and external partners. Building and optimising CI/CD pipelines to support consistent, secure, and efficient software delivery. Enabling integration patterns across distributed systems, including event driven architectures and service based communication. Contributing to modular platform capabilities that allow teams to compose and extend functionality. Collaborating Software, Infra, ML, IT, Product, QA, and Security teams to ensure the platform meets real world engineering needs. Implementing infrastructure as code and automation to ensure repeatability, scalability, and reliability. Embedding security, compliance, and best practices into the platform by design. Contributing to platform standards, patterns, and reusable components to drive consistency across teams. Improving observability, monitoring, and alerting capabilities across systems and services. Supporting onboarding of teams to the platform and enabling adoption through documentation and guidance. Continuously identifying opportunities to improve developer experience, reducing friction and cognitive load. Key skills, experience and behaviours We are looking for a highly capable, hands on engineer who enjoys solving complex problems and building systems that others rely on. Skills you'll need: Strong experience building and operating cloud based platforms. Deep understanding of platform engineering principles, including infrastructure as code, CI/CD, system design, and service integration. Experience designing and working with APIs and building integration layers between systems. Experience with tools such as Terraform, Kubernetes, Docker, and modern CI/CD platforms. Experience with cloud and bare metal deployments. Understanding of modular platform design and composable architectures. Familiarity with observability tooling (e.g. logging, metrics, tracing) and building reliable systems. Knowledge of secure by design and zero trust principles. Strong software engineering fundamentals (e.g. Python, Go, or similar) to build platform tooling and automation. Experience working in cross functional teams and contributing to shared technical outcomes. Behaviours that matter: Mission Focused: You care about enabling others to do their best work and delivering meaningful outcomes. Relentless: You take ownership and see problems through to resolution. Collaborative: You work effectively across teams, building trust and shared understanding. Quality Driven: You take pride in building robust, scalable, and maintainable systems. Pragmatic: You focus on solutions that work in practice, not just in theory. Curious & Adaptive: You continuously learn, improve, and embrace new approaches where they add value - particularly in fast moving areas like AI and platform integration. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are! We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committted company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don't meet all the criteria included above but have transferable skills and relevant experience, we'd still love to hear from you!