787 jobs found

We are looking for a capable Software Engineer to join our engineering team in the Home Insurance team within Mortgages. We are building and enhancing applications powered by modern technologies to support critical customer journeys and services. As part of an agile engineering team, you will help build scalable cloud native services, improve deployment automation and contribute to modern platform engineering practices using AWS, Kubernetes, .NET, and DevOps tooling. This role is ideal for an engineer who enjoys hands on development, solving technical problems and working collaboratively within a fast paced engineering environment. You will contribute to backend services, cloud infrastructure integrations, secure authentication solutions and modern continuous delivery pipelines while helping improve the resilience, scalability and performance of our platforms. At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK-wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected. For this job, you'll spend at least two days per week, or if part time, 40 % of your working time, based at either our Swindon or Bournemouth office. If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here. Whilst these locations are where we are primarily looking to fill the role, if you're an internal applicant based in a different location, we would welcome your application and if successful, your hiring manager will provide further details on how this could work for this specific role. You can also find out more about our approach to hybrid working here. Nationwide is committed to the redeployment of our employees impacted by change, as such applications for redeployment candidates will be prioritised in this recruitment process. If you're a colleague on long term absence (for example, on parental leave) or a temporary worker, please use your personal email address to submit an application.

Lead the evolution of 's AWS platform - design scalable, secure, resilient systems & turn complexity into clear, modern patterns. Changing the world of pet food for good We're a dog food subscription company with a big difference. We create truly tailored food for each and every dog we serve. We start by asking people a few simple questions about their dog. Then we use that information to create their dog's unique recipe - so their dog gets exactly the nutrition they need, in the taste they love, delivered to their door every month. It's clever stuff. We've got bold plans. Having created an entirely new category in pet food, we're now scaling fast - backed by Purina, one of the world's largest pet food companies. You'll join a bunch of smart people working towards the same goals - and a bunch of smart-ish dogs, all working on their own thing. Together, we'll change the world of pet food for good. Build our brand We're building an international brand, fast. We set ambitious goals. We challenge and support each other in equal measure. At the pace we're moving, we prefer to test ideas and learn quickly rather than spend months building a business case. That means we celebrate when things go right, and we learn when things go wrong. How you can make a difference We want to reshape our cloud platform so it is intentionally designed for where the business is heading - scalable, resilient, secure, and cost-effective by design rather than by accumulation. This is where you come in. As a Senior DevOps Engineer, you will help lead that evolution from within the platform. You will take a critical, system-level view of our AWS environment, its architecture, deployment model, resilience patterns, observability, security guardrails, and cost structure, and help define what good looks like for the next phase of This is not about incremental patching or maintaining the status quo. It is about applying sound engineering judgement to decide what should be retained, what should be simplified, and what should be redesigned. You will help turn accumulated complexity into clear, repeatable platform patterns that enable engineering teams to move quickly and safely. You will work closely with our engineering teams to ensure services are designed for operability and scale from the outset, and with the security function to embed secure-by-default principles and strengthen resilience and detection capabilities across the platform. This role is suited to a senior engineer who enjoys reducing systemic complexity, shaping architecture through influence rather than authority, and remaining hands on while improving the foundations beneath a growing product organisation. Key Responsibilities Cloud & Platform Engineering Own and evolve the AWS platform architecture for scalability, resilience, and cost efficiency. Lead architectural redesign where systems show strain or fragility. Establish reusable infrastructure patterns that reduce drift and technical debt. Improve operational maturity through strong observability and reliability practices. DevOps & Automation Design release strategies that keep production changes safe and predictable. Eliminate manual processes through automation across the platform. Turn incidents into architectural improvements through effective remediation. Improve developer experience by making the right way the easy way. Security, Guardrails & Resilience Embed secure-by-default principles into platform architecture and delivery pipelines. Strengthen cloud identity boundaries, isolation, and defence-in-depth. Partner with the security team to evolve resilience, monitoring, and threat detection capabilities. Ensure backup, recovery, and failure-domain strategies are deliberate, tested, and robust. Collaboration & Technical Influence Engage early in service design to ensure reliability, scalability, and security are built in. Challenge designs that introduce risk or unnecessary complexity. Contribute to platform standards and reference architectures. Raise engineering standards through example, peer review, and pragmatic mentorship. Skills & Qualifications Significant experience building and evolving AWS cloud platforms in production. Strong understanding of distributed systems, scalability, resilience, and operational risk. Deep experience with Infrastructure as Code and platform automation. Experience designing safe, reliable deployment and release strategies. Strong grasp of cloud security fundamentals and secure-by-default architecture. Experience working with security teams to strengthen resilience and detection capabilities. Solid scripting and automation capability. Clear communicator, able to translate technical risk into pragmatic improvements. Key Attributes Platform-minded and systems-oriented. Reliability-focused and comfortable designing for failure. Security-aware and pragmatic. Influential through technical credibility rather than authority. Calm under pressure and outcome-driven. What's in it for you Competitive salary, reviewed annually Annual bonus, based on company performance Flexible core hours, giving you true work life balance Hybrid role to ensure this role works for you - we expect employees to have a conducive remote working environment (including an appropriate desk and adjustable chair) available for their start date. 25 days of holiday (excluding bank holidays) which increases over time to a max of 27 days 9/10 day working week to enhance your wellbeing without a reduction in pay and leave allowance Optional 5 days unpaid leave and 1 paid volunteer day each year When you need a change of scenery, you can work from abroad 2 weeks every 6 months Health insurance for you, paid by Extended maternity, paternity, shared parental and adoption pay. 6 months at 70% pay Flexible paid care leave to support immediate dependants, people close to you and pets In house L&D team, with access to year round courses to help drive your development 50% discount on all Discounted gym membership Our Commitment We're proud to be an active equal opportunity employer. We want to give everyone a fair chance to join us in changing the world of pet food for good. We do this by conducting a structured recruitment process for all candidates, as well as actively promoting our roles to communities that are under-represented at . During your interview process you'll meet some of our team with varying levels of responsibility and experience. We want to give every candidate a fair interview process and if you need any reasonable adjustments made, please let us know.

Job Description Evolutum are looking for an experienced Solution Architect to join a small but dynamic team and provide sound technical leadership in all aspects of their business. You will lead a team of developers to deliver cutting-edge software, bringing them up to speed to continuously achieve the technical targets set by the business. You will manage the expectations of the business stakeholders, both internally and externally, on achievable targets and work with them to take them through the journey of what our product and deliver. You will be involved in various pre sales schemes, facing off to prospective clients to be the technical face of the business. Responsibilities and duties Work on dynamic projects that cover several new products and technologies, but focus on architecting, developing and implementing the core of a cloud and web based enterprise platform that is critical in future. Design and architect large scale distributed web applications and cloud based services to meet complex business requirements. Guide the development team to build Web Applications with the right architecture and design, yet be pragmatic as required. Communicate the target architecture design and roadmap to the team. Specify and prioritise development items for the team based on deep understanding of the technologies involved and team objectives. Ensure clean design, architectural consistency and exemplary development practices. Maintain documents describing the design and make them available to foster knowledge and create agreement on what we're building. Develop frameworks, proof of concepts or foundation level code where necessary. Provide technical inputs to the product management team to ensure successful product delivery and informed decision making. Communicate and drive the implementation of non functional requirements to the web developers. Promote best practices for software engineering, to ensure solid code and usability consistency across teams. Oversee the documentation of the web framework as well as interface design/documentation with external/internal APIs. Spearhead our technology trajectory by doing progressive research and prototyping cutting edge technologies. Write and advocate requirements (features, stories) for projects that advance technology/framework maturity and align to the strategic roadmap. Engage in sprint and release planning as a subject matter expert. Essential Skills and Experiences Extensive technical experience in designing and developing enterprise web applications, architecting solutions in a lean/agile way, including consideration of scalability, resilience, partner interfaces, security (risks and threats, authentication, authorization), tuning and testing using automated testing patterns and tools, balancing the need for feature development with architecture. Practical experience in a broad range of development languages and frameworks including Java, and a clear understanding of their relative merits and applicability. Development experience of artificial intelligence driven machine learning products. Skills in developing and designing cloud based solutions including experience with web services, REST API, API management and API gateways, AWS including ELB, ASG, EC2, ECS, EKS, authentication and authorisation mechanisms (inc. SAML, Open ID Connect, penetration test tools and remediation of issues found). Strong expertise of design patterns, object oriented design principles, engineering knowledge, developing frameworks and reusable components and building scalable applications for the cloud. Experience of devops techniques and technologies, CI/CD, Jenkins. Delivery Skills Ensuring technologies are used efficiently, profitably and securely. Evaluating and implementing new system features. Develop technical aspects of the company's strategy to ensure alignment with its business goals. Strong development skills are required - a good knowledge of the Java programming language, plus associated tooling such as Maven, Git and a modern IDE such as IntelliJ IDEA. We are committed to the DevOps culture, and are well progressed down the line of Infrastructure as Code along with a fully automated build and deployment operating mode. We see this as being critical in our ability to react quickly to our customers ever changing and emerging list of requirements, and you will be expected to push this initiative through to its eventual conclusion. Qualifications Minimum bachelor's degree in computer science or any related field. Professional certifications and accreditations (desirable).

Senior DevSecOps Engineer London (Hybrid - 1 day per week in office) £70,000-£100,000 + Benefits Certus Recruitment is partnering with an ambitious fintech business building a next-generation regulated financial platform. As they move from proof of concept to full production deployment, they are seeking a Senior DevSecOps Engineer to take ownership of the operational, infrastructure, and security foundations that will support long term growth. This is a high impact role for someone who enjoys building secure, scalable, and compliant environments from the ground up. You'll become the technical authority across infrastructure, cloud operations, DevSecOps, platform security, and compliance readiness, ensuring the business can meet the rigorous standards expected within a regulated financial environment. Working closely with engineering leadership, you will be responsible for creating the systems, controls, processes, and evidence required to support a secure and auditable production platform. Key Responsibilities Own infrastructure, platform security, and operational readiness across the business Design and implement secure cloud environments and production grade infrastructure Lead security initiatives including vulnerability management, threat modelling, penetration testing, and incident response planning Build and evolve CI/CD pipelines, release management processes, and deployment automation Establish observability, monitoring, logging, alerting, and operational runbooks Manage secrets, key custody, access controls, and infrastructure governance Deliver backup, disaster recovery, and business continuity strategies Drive compliance readiness for SOC 2, ISO 27001, and regulatory audits Partner with software engineering teams to ensure applications are secure, observable, and production ready Lead infrastructure migration and cloud hardening initiatives Required Experience 6+ years of engineering experience with at least 3 years focused on infrastructure, DevSecOps, platform engineering, or security Proven experience operating within highly regulated environments such as fintech, banking, payments, financial services, healthcare, defence, or similar sectors Experience taking systems from early stage development through to secure production deployment Strong background in cloud infrastructure, automation, and operational security Experience supporting or leading SOC 2 Type II and/or ISO 27001 programmes Strong documentation and communication skills with the ability to create clear technical and compliance focused artefacts Comfortable acting as the subject matter expert across security, infrastructure, and operational best practices Technical Experience Terraform and Infrastructure as Code environments Kubernetes, Docker, and containerised application deployment Modern CI/CD platforms including GitHub Actions, Cloud Build, Buildkite, CircleCI, or similar Cloud platforms, ideally GCP Observability tooling including Prometheus, Grafana, OpenTelemetry, or equivalent PostgreSQL operations, backup, recovery, and data durability Identity management, API gateways, networking, and access controls Bash and Python scripting for automation and tooling Desirable Experience Exposure to blockchain infrastructure, digital assets, or cryptocurrency ecosystems Experience with HSM, KMS, key management, or cryptographic systems Familiarity with Kubernetes security, service meshes, and zero trust architectures Knowledge of event driven architectures and messaging platforms such as Kafka Understanding of UK financial services regulation and compliance frameworks Experience supporting cloud migrations and multi environment platform strategies This is an opportunity to join a business at a pivotal stage of growth and play a leading role in building the infrastructure and security foundations of a highly regulated financial platform. The successful candidate will enjoy significant ownership, technical autonomy, and the opportunity to shape best practices from the ground up.

As a Platform Engineer in the Networking Team at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. To support our mission critical systems and foster strong team collaboration, this position requires participation in our on call rotation and working from the office five days per week. Job responsibilities Collaborate across the organization to implement platform wide strategies in our networking stack. Optimize our infrastructure for failover and resiliency. Enhance our operator design and custom implementation: we are utilizing a number of different cloud native operators. As our platform matures and scales, we need to ensure our custom operators remain fit for purpose. Improve observability of our networking components to meet SLOs. Lead troubleshooting of production workloads for customers and during incidents. Develop secure high quality production code, and review and debug code written by others. Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Lead communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies. Lead agile ceremonies. Add to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Detailed understanding of public clouds and hands on knowledge on building cloud based environments. Expert knowledge of containerization, Kubernetes and related tooling. Deep understanding of cloud native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, firewalls, IPAM, load balancers, VPN). Extensive experience writing and maintaining custom Kubernetes operators in Golang. Capable of writing code to deliver highly automated infrastructure environments that support the wider organization. Being comfortable in fast moving, critical environments and working with ambiguity. Preferred qualifications, capabilities and skills At least eight years of experience in a similar role. Hands on experience with reconciliation loops, ArgoCD, IaC tooling (Crossplane/Terraform) and service mesh (Istio). Experience debugging networking and Kubernetes issues across a large scale cloud native stack. Direct connect, Cloud Interconnect, Partner Interconnect implementation. Equal Opportunity Employer 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. Visit our FAQs for more information about requesting an accommodation.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit a mature SRE function, you'll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale. This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant. Key responsibilities Reliability & Platform Ownership Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments. Define and operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-Call Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents. Lead incident triage, escalation, communications, and root cause analysis. Translate post-incident learning into durable architectural or automation improvements. Continuously reduce alert noise and recurring operational burden. Observability & Operational Excellence Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health (not just infrastructure metrics). Improve deployment safety through better change management, validation, and rollback mechanisms. Automation & Tooling Build automation for cluster operations, training workflows, remediation, and scaling tasks. Implement self healing patterns and resilient recovery workflows. Harden CI/CD and release processes to improve deployment safety and velocity. Support infrastructure as code and policy driven guardrails to ensure secure, reliable cloud environments. About you In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we're looking for the following skills and experience. Essential skills Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Strong Kubernetes experience, including operating production clusters. Hands on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads. Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred. Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g., Python, Go, C++) with a bias toward automation. Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale. Experience designing and operating observability stacks (e.g., Datadog, Prometheus, Grafana, OpenTelemetry). Clear communication skills, including leading incidents, writing post mortems, and influencing teams to prioritise reliability improvements. Desirable skills Experience operating GPU backed environments or large scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Familiarity with infrastructure as code (e.g., Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across multiple teams. Experience as an early or founding SRE hire establishing processes from scratch. Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time. This is a full time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

BXTI - Liquid Credit, Full Stack Software Engineer, AssociateApplylocations: Londontime type: Full timeposted on: Posted 5 Days Agojob requisition id: 43115Blackstone is the world's largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at . on LinkedIn, X, and Instagram. Business Unit: Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone's businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency and improve transparency within the firm and across our broad community of investors and portfolio companies.BXTI is nimble and entrepreneurial - our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge. Job Title: Associate Job Description: The Liquid Credit Technology team develops modern fixed-income asset management systems including portfolio management system, order management system, execution management system, and trade processing to support Liquid Credit Strategies ("LCS") business. LCS manages $114B in AUM across diversified portfolios of fixed income investments, such as bank loans, high yield bonds, CDS/CDX, Future, Repo, CMBS/RMBS, CLO debt and equity tranches. The new hire will be a key member of the team developing software solutions for the portfolio managers and traders.Our existing applications are built on a highly scalable microservices architecture deployed on a cloud-hosted containerized environment. Key technologies in our stack include C#, React/Angular, Typescript, FastAPI, Python, Terraform, SQL, AWS ECS, AWS Lambda, AWS DynamoDB , AWS SNS/SQS, CI/CD tooling (e.g., Gitlab Runners), and data warehouse solutions like Snowflake. Qualifications: We seek to hire individuals who are highly motivated, intelligent, and have demonstrated excellence in prior endeavors. In addition, the successful candidate should have: 3+ years of proven software development experience in relevant industry, with proficiency in C#, JavaScript (React and/or Angular), Typescript, databases (relational and/or NoSQL), and cloud technologies, preferably AWS. Experience with RESTful API design, development, and scalable microservice architectures Ability to develop scalable, secure, and maintainable code, with a strong background in object-oriented programming Excellent problem-solving skills and strong communication skills Self-starter with an entrepreneurial attitude, willing to teach and mentor others, and desire to work in a fast-paced team environment Experience with automation testing approaches and performance testing Experience with fixed-income front-office trading systems Bachelor's degree (BSc/BA) or above in Computer Science, Engineering, or a related field. Responsibilities: Use cloud native technologies and services to build scalable, reliable, and secure applications Build, support, and integrate web applications, microservices, and data pipelines on a variety of platforms with high code quality. Write automated unit, integration, and deployment tests. Utilize standard CI/CD tooling (i.e. GitLab Runners) to build and deploy application code in various environments. Use modern software development methodologies and tools like JIRA to manage and deliver projects Participate in technical design, code reviews, and agile ceremonies, and troubleshoot software defects. Provide technical support, automate repetitive tasks, and stay updated with industry trends and emerging technologies. Mentor and train junior developers, contribute to the collaborative team culture, and demonstrate a willingness to learn from others.The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.If you need a reasonable accommodation to complete your application, please contact Human Resources at (US), (0) (EMEA) or (APAC).Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following: Attending client meetings where you are discussing Blackstone products and/or and client questions; Marketing Blackstone funds to new or existing clients; Supervising or training securities licensed employees; Structuring or creating Blackstone funds/products; and Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials. Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions. To submit your application please complete the form below. Fields marked with a red asterisk must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user-centred design, agile delivery, and scalable digital services that genuinely make a difference. Role Overview We are seeking an experienced Senior Backend Developer with strong expertise in Java and Spring Boot to design, develop, and maintain scalable Back End systems. The ideal candidate combines solid software engineering fundamentals with the ability to effectively leverage AI-powered development tools and coding assistants to accelerate delivery, improve code quality, and enhance engineering productivity. Key Responsibilities Design, develop, and maintain scalable Back End services using Java (8/11/17+) and Spring Boot Build, optimize, and maintain RESTful APIs and microservices-based applications Collaborate with Front End, DevOps, product, and AI engineering teams Use AI-assisted development tools (eg, GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, etc.) to accelerate development, debugging, testing, and documentation Review, validate, and refine AI-generated code to ensure maintainability, security, and performance Design robust system architectures and contribute to technical decision-making Implement automated testing, CI/CD pipelines, and deployment processes Monitor application performance, troubleshoot issues, and optimize system reliability Conduct code reviews and mentor team members on engineering best practices and AI-assisted development workflows Document technical solutions and architecture using AI-assisted productivity tools where appropriate Required Skills & Qualifications 5+ years of hands-on Back End development experience Strong expertise in Java and Spring Boot Solid understanding of microservices architecture and distributed systems Experience designing and developing REST APIs Strong knowledge of Hibernate/JPA and relational database design Experience with messaging systems such as Kafka or RabbitMQ Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with Docker and Kubernetes Strong database experience with PostgreSQL, MySQL, MongoDB, or similar technologies Experience with Git, CI/CD pipelines, and Agile development practices Understanding of application security, secure coding practices, and performance optimization Demonstrated experience using AI-assisted software development tools in daily engineering workflows Ability to critically evaluate, test, and improve AI-generated code and technical solutions Preferred Qualifications Experience building AI-powered applications or integrating LLM APIs Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent architectures Experience integrating services from OpenAI, Anthropic, Google Gemini, or similar AI platforms Experience working in regulated, standards-driven, or public sector environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Relevant certifications in Java, cloud technologies, or AI engineering Experience measuring and improving engineering productivity through AI-assisted development practices Strong Back End engineering fundamentals Quality and maintainability of delivered code Effective use of AI tools to increase productivity without compromising quality System design and architectural thinking Problem-solving and debugging capabilities Ability to mentor others in AI-assisted software engineering practices Our interview process We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. Equal Opportunities Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

A fantastic opportunity to join us as we create a standalone Payments Acquiring business embracing a fintech culture from our new London offices alongside our Brookfield partners. As a Staff Software Engineer, you'll play a key role in improving how we build, deploy and run software. You'll lead technical delivery, support and guide other engineers, and help establish practical standards that make development simpler and more reliable. Barclays' payments acceptance business supports a wide range of UK businesses, processing billions in transactions each year. This is a chance to join at an important stage, where you'll contribute to how the platform evolves and how engineering works day to day. To be successful as a Staff Software Engineer you should have experience with: Deep expertise in backend engineering and building large-scale distributed systems within a cloud environment preferably AWS (Azure, GCP also suitable) Expert level mastery of Java or Kotlin, Scala, or similar JVM language Data Layer Expertise - Experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases, understanding when to use each Some other highly valued skills may include: Proven experience working with AI Technologies or machine learning integration FinTech, Payments, scaling tech or start-up domain experience Rust - Experience with systems programming and performance-critical services Kubernetes - Container orchestration experience with K8s, Helm, and cloud-native deployment strategies React - Modern frontend development skills with React, TypeScript, and state management libraries Observability - Experience with monitoring, logging, and tracing tools CI/CD wizardry - Extensive DevOps mindset with experience in automated deployment pipelines, infrastructure as code, and GitOps practices Messaging & Events - Solid grasp of messaging technologies (Kafka, RabbitMQ, SQS, NATS) and event-driven architecture patterns API Design - Proven track record designing and implementing RESTful and/or GraphQL APIs that scale You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The successful candidate will be based in London. Our offices are located at 1 Churchill Place and 7 Westferry Circus (new BPL office). We support a hybrid working pattern with 3 days per week office-based presence expected. Our team operates an on-call rota and so weekend and evening working may be required on occasion. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Senior HPC Systems Administrator We are seeking a full-time Senior HPC Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the internationally recognised Visual Geometry Group (VGG) and the Foerster Lab for AI Research. This post is fixed-term until 30th April 2030. This is an exciting opportunity for an experienced systems professional to lead the development, administration, and strategic evolution of the group's high performance computing (HPC) infrastructure supporting cutting edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large scale HPC systems, including CPU and GPU clusters, high performance storage, and advanced networking technologies. The postholder will work closely with academic researchers, software engineers, and departmental IT teams to ensure robust, scalable, and secure computational infrastructure capable of supporting world leading research in machine learning and visual computing. You will possess extensive experience in Linux systems administration and HPC environments, together with strong technical expertise in cluster management, storage systems, networking, scripting, and infrastructure automation. Experience with GPU computing environments, containerisation technologies, cloud platforms, and scientific software environments will be highly desirable. The role also requires excellent communication skills and the ability to collaborate effectively with both technical and non technical stakeholders. Responsibilities Designing, building, and maintaining HPC clusters and associated infrastructure Managing Linux compute and storage environments Supporting GPU enabled research computing systems Maintaining high performance storage and backup solutions Monitoring system performance, security, and availability Supporting and mentoring researchers, software engineers, and postgraduate students Developing documentation, training materials, and operational best practices Collaborating with departmental and university wide research IT teams Evaluating and deploying new technologies to support evolving research requirements The successful candidate will work under the direction of the departmental HPC Support Architect, with approximately 20% of their time allocated to broader departmental infrastructure activities. Essential Skills and Experience Degree in Computer Science, Engineering, or a related technical discipline Extensive experience managing HPC infrastructure in research or technical environments Experience with GPU servers and high performance networking technologies Experience with scripting and automation (e.g. Bash, Python) Knowledge of storage systems and backup/archive procedures Strong troubleshooting and systems integration skills Excellent written and verbal communication abilities Ability to work independently and collaboratively in a research environment Experience with SLURM or other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high performance file systems such as BeeGFS or Lustre The Department holds an Athena Swan Bronze Award, recognising its commitment to advancing gender equality and supporting an inclusive working environment.

Job Title: IT Asset and Configuration Manager Function / Department: IT Operations Reports to: Sandeep Golar Direct reports & People accountability: Detail the number of DRs, overall headcount of team Location (contractual base): Nuneaton / London Purpose of the Job Own and continuously improve Holland & Barrett's end to end IT asset management lifecycle, ensuring assets are governed effectively from planning and procurement through deployment, support, refresh, redeployment and secure disposal. Act as the accountable owner for asset management tooling and CMDB data integrity, creating a trusted, auditable single source of truth for hardware, software and configuration data. Drive governance, reporting, compliance and optimisation across the technology estate to improve cost control, operational efficiency, service quality and security posture. Customers for This Role This role supports a broad range of internal stakeholders and selected external partners, including IT Operations, Service Desk, Procurement, Finance, Information Security, Engineering teams, regional asset coordinators, analysts, onsite engineers, business stakeholders, third party suppliers, support partners, vendors and external auditors or compliance partners. Scale & Authority Planning: Short term: asset administration, stock control, audit support, tooling accuracy, exception management and reporting Medium term: refresh planning, software renewals, lifecycle governance improvements, reconciliation and process optimisation Long term: design and implementation of the ITAM and CMDB operating model, automation roadmap, governance standards and scalable lifecycle capability Decision Making: Designing ITAM and CMDB processes, governance and standards Defining the CMDB data model, ownership model, lifecycle statuses and reconciliation rules Making recommendations on lifecycle optimisation, tooling improvements, audit controls and cost avoidance Contributing to vendor and RFP decision making for new hardware and software Financial Accountability The role has direct ownership of the IT Operations HAM and SAM budget and is accountable for ensuring costs remain within budget, supporting procurement and invoicing controls, contributing to financial planning, budgeting and refresh forecasting, and driving cost avoidance through optimisation, right sizing and re harvesting of software licenses. Impact of Role Significant operational and governance impact across Austria's technology estate, improving: Output through standardised lifecycle processes and automation Quality through stronger data accuracy, reconciliation and CMDB governance Service through improved visibility, asset availability, stock management and vendor performance Control through audit readiness, policy adherence and lifecycle compliance Security through accurate identification and management of non compliant, unsupported or vulnerable assets Key Responsibilities / Activities Own and develop the ITAM and CMDB operating model. Design, build and implement the operating model for IT asset and configuration management, including governance, controls, ownership, standards, RACI and reporting cadence. Manage the end to end asset lifecycle. Own lifecycle management for in scope assets including laptops, desktops, mobile devices, peripherals, network equipment, servers, store and site technology, and software assets from procurement through deployment, support, refresh, redeployment and disposal. Own tooling administration and data integrity. Administer and continuously improve asset and discovery platforms such as Snipe IT and Lansweeper, while maintaining CMDB accuracy within Jira Service Management or ServiceNow. Drive data governance, reconciliation and audit readiness. Establish data quality controls, validation routines and exception reporting to ensure asset and configuration data remains complete, current, auditable and aligned across tooling, procurement and finance records. Manage financial, procurement and vendor processes. Partner with Procurement and Finance on ordering, purchase order housekeeping, goods receipt reconciliation, invoicing support, monthly reporting, budget control and supplier management. Contribute to hardware and software purchasing decisions and RFP activity. Lead reporting, optimisation and continuous improvement. Produce dashboards and insights covering asset accuracy, stock, aging devices, spend, disposals, utilisation, compliance and CMDB health. Identify and deliver automation and process improvements to reduce manual effort and improve service quality. Support compliance, risk and stakeholder alignment. Work closely with Information Security and operational teams to identify non compliant or vulnerable assets, align asset lifecycle processes with Joiner, Mover and Leaver workflows, and guide regional asset coordinators and engineers to ensure consistent adherence to standards. Key Performance Indicators Asset record accuracy % across hardware and software inventories CMDB completeness and health score, including CI relationships, ownership and lifecycle status accuracy Audit pass rate / audit readiness, including closure of asset related audit findings Inventory reconciliation accuracy between asset tools, discovery platforms, procurement and finance records Software licence compliance rate and reduction in unused / under utilised licences Cost avoidance / cost optimisation delivered through re harvesting, right sizing and refresh planning Budget adherence for HAM and SAM spend Stock accuracy and availability, including reduction in lost, unallocated or untracked assets Refresh planning effectiveness, including percentage of aging or out of support assets addressed on time Reduction in manual effort through automation and workflow improvement Supplier SLA performance for asset related delivery and support Security risk reduction, including identification and remediation of unsupported or non compliant assets Knowledge (Expert Understanding) Essential Strong knowledge of hardware and software asset lifecycle management Strong understanding of CMDB governance, configuration items, relationships, lifecycle states and reconciliation rules Knowledge of asset management tooling such as Snipe IT, Lansweeper, Jira Service Management or ServiceNow Good understanding of IT Operations, End User Computing, Infrastructure Support or Service Management environments Knowledge of procurement controls, inventory management, vendor management and audit support Understanding of risk and control frameworks, asset cost tracking, warranties, lease data and secure disposal practices Working knowledge of ITIL principles and service management processes Strong practical understanding of how asset, discovery, procurement, finance and service workflows interconnect Desirable Bachelor's degree in Information Technology, Computer Science, Business Information Systems or related discipline, or equivalent practical experience ITIL certification Knowledge of reporting and visualisation tools such as Power BI Experience in retail, distribution or customer facing multi site environment Skills (Expert Ability) Essential Hard Skills IT asset management and CMDB administration Asset discovery, reconciliation and data cleansing Reporting, dashboard production and advanced Excel capability Budget tracking and cost analysis Process design, governance and control implementation Vendor and supplier management Lifecycle planning and stock management Ability to work across service management and asset platforms Desirable Hard Skills Power BI ITIL certification Experience with automation and systems integration Exposure to RFP support and structured supplier evaluation Essential Soft Skills Strong written and verbal communication Stakeholder management across technical and non technical teams Analytical thinking and problem solving High attention to detail and data accuracy Ability to influence, drive accountability and embed process discipline Organisational skills and ability to manage competing priorities Continuous improvement mindset Ability to work effectively across distributed or multi site environments Experience (Proven Expertise) Essential Proven hands on experience in IT Asset Management and/or Hardware Asset Management Experience of CMDB administration Broader experience across IT Operations, End User Computing, Infrastructure Support or Service Management Experience managing asset tooling such as Snipe IT, Lansweeper, ServiceNow or Jira Service Management Experience producing operational reporting, dashboards and actionable insights Experience working with procurement, finance, audit or compliance processes Experience driving process improvement, governance and data quality enhancement Experience working across multiple stakeholder groups and suppliers Desirable Experience in multi site or multi region environments Experience in a retail, distribution or customer facing estate Experience leading or guiding coordinators, analysts or engineers, whether directly or through matrix management Experience supporting budget ownership . click apply for full job details

At CGI, our Space, Defence and Intelligence business unit delivers mission-critical systems that help keep the UK safe and secure. As a Software Defined Network Engineer, you will play a critical role in designing and delivering next-generation network solutions that enable secure, scalable, and high-performing environments. Working across complex hybrid infrastructures, you will help drive innovation through software-defined technologies, contributing to impactful programmes. You'll take ownership of advanced networking solutions, apply creative approaches to complex challenges, and collaborate within a supportive environment that enables continuous growth and meaningful impact. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner, not just an employee. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position will be based on site near Gloucester, 5 days a week. Your future duties and responsibilities In this role, you will design, deploy, and manage software-defined networking solutions across hybrid environments, ensuring secure, scalable, and high-performing network architectures. You will take ownership of SDN platforms, working with Cisco ACI and VMware NSX-T to deliver robust connectivity, segmentation, and policy-driven network control aligned to business and technical requirements. You will collaborate closely with cloud, infrastructure, and security teams to optimise network performance and resilience, while contributing innovative solutions and resolving complex issues. Design & Deliver: Build SDN architectures using Cisco ACI and VMware NSX-T Configure & Manage: Implement network policies, segmentation, and connectivity rules Integrate & Optimise: Support hybrid environments across on-prem and cloud platforms Troubleshoot & Resolve: Fix complex issues across Layer 2-7 network layers Secure & Enforce: Apply micro segmentation and Zero Trust principles Collaborate & Align: Work with cloud, infrastructure, and security teams Monitor & Improve: Use tooling and analytics to improve network performance Required qualifications to be successful in this role You should have strong hands on experience in software defined networking, particularly in secure or enterprise environments. Proven experience with Cisco ACI and VMware NSX T Strong understanding of SDN concepts, VXLAN, and overlay/underlay networking Experience with hybrid cloud networking (AWS, Azure, or GCP) Strong troubleshooting skills across Layers 2-7 Knowledge of network security, segmentation, and Zero Trust principles Familiarity with automation tools (Ansible, Terraform) is beneficial Relevant certifications (CCNP/CCIE, VCP NV) are desirable

Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid

Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid

Platform Engineer About CGI At CGI, we build secure and scalable cloud platforms that support transformation across some of the UK's most critical sectors. As a Platform Engineer, you will help design and evolve resilient infrastructure that enables fast, reliable, and secure delivery of mission-critical services. You'll work across cloud infrastructure, automation, security, and observability, helping set engineering standards and improving platform performance, reliability, and cost efficiency. This is a hybrid role based in Newcastle. CGI was recognised in the Sunday Times Best Places to Work 2025 and named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, strong pension, private healthcare, and a share scheme (3.5% + 3.5% matching), making you a CGI Partner rather than just an employee. We are committed to inclusivity and diversity, and proudly support the Armed Forces Corporate Covenant with Gold Award recognition. Role Overview As a Platform Engineer, you will design, build, and continuously improve cloud platforms across multiple client environments. You will work closely with architects, developers, and delivery teams to ensure platforms are secure, scalable, observable, and aligned with engineering best practices. You will also contribute to platform strategy, automation standards, and engineering excellence across CGI. Key Responsibilities Design and evolve secure, scalable cloud platforms (Azure, AWS, or GCP) Define and implement Infrastructure as Code standards and reusable modules Build and optimise CI/CD pipelines for efficient and secure delivery Support containerised workloads and orchestration platforms Implement observability solutions (logging, monitoring, alerting, metrics) Ensure platforms meet enterprise security and governance standards Troubleshoot and resolve critical incidents to improve resilience Optimise cloud usage and costs using FinOps principles Contribute to technical bids, strategy, and engineering communities Share knowledge and help improve platform engineering practices across teams Required Skills & Experience Strong experience designing and operating cloud infrastructure (Azure, AWS, or GCP) Hands-on experience with Infrastructure as Code (Terraform, ARM/Bicep, or CloudFormation) Experience building and maintaining CI/CD pipelines Experience with container platforms (e.g. Kubernetes, Docker, OpenShift) Strong understanding of observability and monitoring tools and practices Knowledge of secure, resilient infrastructure design in enterprise environments Experience troubleshooting platform-level incidents Strong communication and documentation skills Desirable Skills Experience with multi-cloud or hybrid cloud environments Exposure to pre-sales, bids, or solution design work Experience mentoring engineers or leading technical initiatives Relevant cloud or platform certifications (AWS, Azure, Terraform, Kubernetes) Life at CGI At CGI, you'll be part of a culture built on ownership, teamwork, respect, and belonging. As a CGI Partner, you'll help shape modern cloud platforms, contribute to meaningful transformation programmes, and work alongside experienced engineers in a collaborative environment. You'll also benefit from strong career development support and opportunities to grow your technical expertise.

Java Developer Location: Newcastle upon Tyne Hybrid Working Please note - This role will require you to work from our Newcastle, Cobalt Business Park office 3 days per week. Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance process as part of this role, which requires 5+ years of continuous UK residence as well as no gaps of 6 months or more spent outside the UK within those 5 years. This includes a single consecutive 6-month period or multiple trips that add up to 6+ months. Note: The above information relates to a specific client requirement. In our team you will learn How to provide solutions to real world problems across a variety of industries. How to help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. How best to develop your skills and hone your talents within an innovative technology environment. Skills and experience are essential for this role Experience within Java Development Kit (JDK 11+) and Spring Boot to build modular, maintainable services aligned to enterprise standards. Demonstrable work experience with enterprise middleware platforms including WebLogic Server (Enterprise Edition) and CAS SDK for secured, high-performance integrations. Collaborate with cloud and infrastructure teams to deploy solutions into secure, scalable public cloud environments (e.g., AWS), using containers. Advocate for and employ good development practices on the team such as consistent branching strategy, coding standards, Test Driven Development, Continuous Integration and Continuous Testing. Support the technical leads in crafting the separation of functional into microservices and the end-to-end integration and flow between technical components. Support the test automation engineers in testing the stories and features delivered both from a functional and non-functional perspective. Follow the Scrum Methodology participating actively in sprint backlog refinement, sprint planning, stand-ups, sprint review and sprint retrospective. Have significant Java programming experience, ideally utilizing core Java and Spring Boot to develop microservices. Set yourself apart Capable of working in an agile development environment, both collaboratively and individually. Exposure to CI/CD pipelines and tools such as GitLab, Jenkins and SonarQube. Demonstrated experience building secure, scalable services in a public cloud environment. Have experience applying TDD/BDD approaches. Enjoy working in a dynamic, fast paced environment, collaborating with others, contributing to craft, and estimating discussions and utilizing strong collaborator leadership skills. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services, we are known for. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.