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About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? The Team Our Supply Chain Management Team supports the world's most recognizable brands to design and implement a future ready operating model for supply chains that balance between Cost, Speed and Service. We enable business growth through building supply chain resilience and agility from visibility to orchestration to settlement, shifting focus from cost to high value work that transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. We focus on consulting services around the topics of Customer Centricity, Procurement Experience, Supply Chain Planning, Smart Operations and Agile Logistics. The Role Work on end-to-end Supply Chain Planning Digital Transformation Programs - from process template definition to implementation Participate in project delivery throughout Design, Development, Testing, Training and Hypercare Participate in workshops with business to understand the business requirements, Solution Architecture and design efficient supply chain processes within SAP IBP Participate in the implementation and customization of SAP IBP modules to meet business requirements Work with the team to help in key user training, support to end-users on SAP IBP usage, best practices and troubleshooting techniques Work with the team to provide technical issues resolution, maintain knowledge management repository and test suite optimization post go-live Collaborate with IT team and cross-functional teams to address technical issues and ensure the stability and uptime of SAP IBP system. Participate in initiatives between SAP IBP and other enterprise systems to streamline data flow Excellent communication, interpersonal skills and understand business terminologies/processes At least 8-10 years of experience in supply chain planning projects with a focus on SAP IBP implementation. Life cycle implementation experience on any module of SAP IBP like Demand, Supply & Response, Inventory and S&OP If worked on only on support of SAP IBP, then minimum 5 years of SAP IBP support experience. Proficiency in SAP IBP modules such as Demand Planning, Supply Planning, Inventory Optimization, S&OP, Control Tower Technical knowledge in solution designing, technical integration and development activities required for SAP IBP modules Earlier experience on any module of SAP APO and integration methodologies is added advantage. Certification in SAP IBP is a plus. Willing to travel to client location for important workshops and training sessions. Have excellent interpersonal skills and strong written and verbal communication skills in English. Strong analytical and problem-solving skills Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences

The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross functional teams to execute on long term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost efficient systems for high throughput content processing and real time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high volume multimedia or real time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade offs of these technologies. You are comfortable operating in ambiguous, fast moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs

Job Description Role: OT Cyber Security Senior Manager Level: Senior Manager Location: UK Salary: Competitive salary & package (dependent on experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. About the Role Accenture's Operational Technology Security practice protects critical infrastructure and industrial environments from cyber threats across diverse sectors: Energy, Utilities, Chemicals, Natural Resources, Manufacturing, Aerospace, and Defence. We are looking for an experienced OT Cyber Security Senior Manager to take ownership of complex security programmes, lead client engagements, and build our team's technical capability. You'll work with both Critical National Infrastructure clients and industrial organisations solving sophisticated OT security challenges. Reporting to the Head of OT Cyber Security, you'll operate UK-wide with hybrid arrangements (typically 2-3 days per month in our London office, with additional client site visits as needed). What You'll Do Client Delivery & Leadership Lead end-to-end delivery of OT security projects in regulated environments, managing timelines, budgets, and security standards. Act as primary point of contact for client stakeholders, building trust-based relationships and ensuring seamless execution. Conduct cybersecurity strategy assessments, readiness evaluations, and discovery workshops using industry frameworks and compliance mandates. Identify and articulate risks at project, business, and technical levels, delivering proportionate, cost-effective mitigation strategies. Technical Expertise Perform detailed analysis of Industrial Control Systems (SCADA, DCS, IIoT) architecture, identifying vulnerabilities and recommending improvements. Design and implement robust cybersecurity solutions tailored to IC environments. Develop IC security control frameworks incorporating industry best practices and international standards (NIST, ISO 27001, IEC 62443). Create key deliverables including threat and risk assessments, security policies, procedures, assurance management plans, and compliance evidence. Team Development & Growth Mentor Accenture team members through both line and matrix management, providing guidance, knowledge sharing, and skill building opportunities. Drive business development by identifying opportunities within existing accounts and building new client relationships. Contribute to Accenture's thought leadership in OT security through publications, presentations, and client engagements. What You'll Need Essential 10+ years of experience in OT/ICS cybersecurity or critical infrastructure security. Proven track record leading complex security programmes in regulated industrial environments. Deep understanding of Industrial Control Systems (SCADA, DCS, PLC, IIoT) and their unique security challenges. Strong familiarity with OT security regulations and frameworks (NIS, NIS2, CAF, CRA). Experience working with both technical teams (engineers, IT) and executive stakeholders. Excellent communication skills with ability to translate complex technical risks into business impact. Willingness to travel across the UK as projects require. Highly Valued Professional certifications: GICSP, IEC 62443, CISSP, GRID. Experience across multiple sectors: Energy, Utilities, Manufacturing, Aerospace, Defence, or Critical National Infrastructure. Knowledge of security standards including NERC CIP, IEC 62443, ISA/IEC 62443. Background in both advisory and hands on technical implementation. What We Offer Work on prestigious projects spanning critical national infrastructure, advanced manufacturing, and defence clients. Access to Accenture's global network of security experts and continuous learning opportunities. Hybrid working with flexibility around client and project needs. Career progression within a rapidly growing OT cyber security practice. Inclusive culture that values diverse thinking and boundaryless collaboration. 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 up to 30 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 may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 30/04/2026 Locations London Birmingham Edinburgh Manchester Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.

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

About the role You will report directly to the Head of Information Security and work alongside a Senior Technical Support Engineer to form the senior core of the IT Delivery and Security Services team. You will own a broad portfolio of security responsibilities, from application security and secure SDLC enablement to AI governance and security programmes, with significant autonomy to shape how that work gets done. The role is hybrid within the UK, with occasional travel to our London office for collaboration and workshops. What you will be doing Application Security and Secure SDLC Embed security into Agile development by partnering with engineering squads during planning, refinement, and delivery, and be the security voice in the room. Define, roll out, and continuously improve secure coding standards, secure design patterns, and developer-friendly guidance that scales across the engineering team. Run threat modelling for new features and major architectural changes, capturing abuse cases and security requirements early, and apply emerging frameworks to model and mitigate new threat surfaces, especially for AI-powered features. Own SAST, SCA, DAST, container, and IaC scanning pipelines, using Snyk as the primary platform. Integrate with CI/CD, manage policies, and focus on developer experience and false-positive reduction. Triage and manage vulnerabilities end-to-end: classification, SLAs, fix validation, and reporting. Build frictionless guardrails such as pre-commit hooks, secure templates, reference code, and paved paths that make doing the right thing easy. Deliver targeted training and just-in-time enablement based on findings and stack specifics. Security Architecture and Design Advise on architecture choices for key product feature developments, including authorisation, secrets and key management, data protection, and zero-trust-aligned designs. Guide secure API and microservice patterns, including input validation, rate limiting, secure session handling, and token-based security (OAuth 2.0/OIDC). Review designs for cloud-native services and edge components, ensuring sensible security trade-offs aligned to product goals. Advise on the security architecture of agent orchestration, tool integrations, memory handling, and MCP server deployments as agentic AI capabilities expand. AI Security and Governance Apply and evolve Semble's approach to AI specific threats: prompt injection, excessive agent autonomy, tool and plugin abuse, AI supply chain risks, and context manipulation, using OWASP LLM Top 10 and OWASP Top 10 for Agentic Applications. Work with the Head of Information Security to develop and maintain AI governance posture, aligned with ISO 42001 and evolving AI regulatory landscape in healthcare. Assess risks from third party AI integrations, AI assisted development tooling, and agentic workflows, and implement appropriate mitigations. Security Operations and Threat Management Monitor, investigate, and respond to security alerts, incidents, and anomalous behaviour across Semble's environment. Develop and mature threat intelligence capabilities, including vulnerability management, penetration testing coordination, and incident response processes. Maintain and improve security tooling, logging, and detection capabilities with an automation first mindset. Contribute to incident response runbooks for application layer and AI related incidents, and support blameless post incident reviews to embed learning back into the SDLC. Identify and address security gaps proactively, improving the overall security posture. Compliance, Certification and Audit Readiness Own or co own delivery of compliance programmes, including ISO 27001, Cyber Essentials+, NHS DSPT, and the journey toward SOC 2 readiness. Support and contribute to ISO 42001 implementation as AI governance matures. Define and track pragmatic security KPIs such as time to remediate, coverage, critical resolutions within SLA, threat model coverage, and audit readiness indicators. Maintain audit quality documentation, evidence, and records at all times. Customer and Stakeholder Engagement Support the sales process by responding to customer security questionnaires and due diligence requests with accuracy and confidence. Occasionally engage directly with customers on security topics, acting as a credible representative of Semble's security function. Work with internal stakeholders to ensure security requirements are understood and embedded across the business. What we are looking for Required Minimum of 5 years' experience in application security, product security, or a combination of software engineering and security with strong AppSec ownership. Hands on experience with Snyk across SCA, SAST, Container, and IaC, including CI/CD integration and policy management. Strong grounding in modern web and application security: OWASP Top 10, API Security Top 10, and emerging understanding of the OWASP Top 10 for Agentic Applications. Practical experience embedding security into Agile workflows and DevSecOps tooling. Solid understanding of authn/authz patterns, secrets management, encryption, and cloud native security controls. Experience with compliance frameworks, particularly ISO 27001; familiarity with Cyber Essentials+, NHS DSPT, or SOC 2 is a strong advantage. Practical understanding of AI security risks, including prompt injection, LLM vulnerabilities, and agentic system threats, and how to address them in a product context. Experience working in a SaaS environment or similarly regulated industry, appreciating the product, engineering, and commercial context that security decisions sit within. Ability to communicate clearly with engineers, leadership, and occasionally customers, translating complex security risk into clear, actionable language. Genuine, hands on AI experience: you must be able to discuss specific ways you are already using AI to improve security operations, detection, or engineering workflows. A track record of maintaining security programmes to a continuously high standard, with audit readiness as a default rather than a periodic event. A proactive, ownership mindset: you identify gaps, propose solutions, and deliver them without waiting to be told. Desirable CISSP certification (strongly preferred). Experience with threat modelling methodologies such as STRIDE or attack trees, and running effective threat model sessions with engineering teams. Familiarity with API gateways, container orchestration, and software supply chain security. Experience securing AI enabled features, ML pipelines, agentic workflows, or MCP based integrations. Experience building or maturing a security function within a scaling organisation. Exposure to healthcare data regulations and NHS security requirements. Proficiency in the French language (nice to have, not mandatory). Benefits £80-90k salary package, reflecting the specialist and technical nature of this role. Autonomy and ownership - you set the vision and run with it. 36 days off: 25 holidays + bank holidays + 3 extra days (birthday and feel good days). Private health insurance covering physical and mental health, as well as dental and optical. Hybrid & flexible work environment - work from anywhere in the UK, with some flexibility to work across Europe. Latest MacBook (or Windows) and equipment to set up a home office ergonomically. Equal Opportunity We welcome applications from people of all backgrounds and walks of life, including those from groups typically underrepresented in the technology industry. We also encourage applications from disabled and neurodiverse candidates. If there are adjustments we can make to support you throughout the recruitment process, please let us know.

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

About the Hiring Team: Tencent Overseas IT is dedicated to empowering Tencent's rapid global growth with future ready, global IT platforms, applications and services. We lead the overseas IT strategy, architecture, roadmap, and execution to satisfy internal and external customers while building a world class global IT team. Position Overview We are seeking a Sr. AI Software Engineer to architect and lead the development of a groundbreaking in house AI Coding Agent. This tool will act as a force multiplier for our game studios' development pipelines, accelerating our developers by providing intelligent code generation, in depth code inspection, and advanced debugging capabilities. Duties and Responsibilities Architect and lead the development of a robust, scalable AI Coding Agent tailored to our game development workflows (primarily for UE/Unity based games in C++, C#, and other relevant languages). Integrate the AI agent directly into developer IDEs (like Visual Studio, VS Code) and our game engines (e.g., Unreal Engine, Unity). Collaborate closely with game developers, technical artists, and engine programmers to gather requirements, understand pain points, and iterate on the tool's features. Optimize model inference speed and resource usage to ensure the agent is fast and responsive without hindering developer workstations. Mentor other engineers on the team and establish best practices for AI development, agentic RAG and agent based architectures. Stay current with the latest research in AI, code generation, and LLMs to continuously improve the agent's capabilities. Who We Look For Customer oriented and able to thrive in a fast paced environment. Positive, self motivated, and passionate. Independent, insistent, and open minded. Great team player, dependable and autonomous. Data driven decision maker. Requirements 8+ years of professional software engineering experience, with a strong background in Python, TypeScript, C++, or C#. Proven experience building complex AI systems, with hands on expertise in Retrieval Augmented Generation (RAG) and AI Agent architectures. Deep, hands on experience with LLM APIs and/or fine tuning and serving open source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. Excellent problem solving skills and the ability to work on complex, ambiguous projects, delivering results in a fast paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred Qualifications Direct experience building a Coding Agent or similar developer facing AI tool (IDE plugins, CLI, etc.). Experience in the game development industry or with game engines (Unreal, Unity). Equal Employment Opportunity: At Tencent, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and community. We foster an environment where every employee feels supported and inspired to achieve individual and common goals. Tencent is a world leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.

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

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

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

About the Role: Grade Level (for internal use): 15 The Team: The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders. Responsibilities and Impact: We are seeking a senior technology leader to partner closely with the Head of Technology for Enterprise Solutions in shaping the technology direction of a complex, regulated financial services estate. This is a hands on principal engineer and architect role, not a pure governance or advisory architecture function. The role exists to ensure technology strategy is grounded in engineering reality, deep domain understanding, and operational outcomes. You will work directly with the Head of Technology to shape and refine strategy, stress testing ideas against engineering, regulatory, and operational constraints. You will engage closely with senior engineering leaders, platform teams, and product partners to turn strategy into real designs that can be built and run. You will get involved early in complex or high risk initiatives and step in when it matters most, including during major incidents and recovery efforts. A key part of the role is knowing when to push forward, when to simplify, and when to slow down or stop. You will act as the engineering authority across Enterprise Solutions, leading primarily through influence rather than line management and the role carries broad responsibility for shaping architecture, design, and delivery decisions across multiple teams and domains. You will balance long term strategy with near term delivery constraints, operational resilience, and regulatory expectations, and represent the technology direction with clients and senior stakeholders, explaining design choices and trade offs clearly and credibly. Overall, this role strengthens the technology function by making strategy buildable, operable, and defensible. What We're Looking For: 25+ years of experience building and operating systems in tier 1 banks, capital markets infrastructure, or similarly regulated, high availability environments. Has owned or deeply influenced production systems under real load, is comfortable reading and writing code, and works effectively alongside senior engineers. Experienced in setting technology strategy and architecture for complex, regulated, data driven platforms, with strong experience in banking and financial services (public and private markets, syndicated lending, securities processing, counterparty and client lifecycle, regulatory reporting, or similar domains). Experienced in defining and owning multi year technology strategies and roadmaps, setting clear priorities and sequencing change based on business outcomes, regulatory needs, and engineering reality. Sets and governs reference architectures, design standards, and architectural guardrails, ensuring teams build in a consistent, scalable, and sustainable way. Strong understanding of how financial products, operational workflows, data, and controls work end to end, and uses that understanding to make sound system and platform design decisions. Has demonstrated strong judgment designing distributed, event driven, and data intensive systems, including how they scale, fail, recover, and isolate risk. Experienced with cloud platforms (AWS, Azure, GCP) and the trade offs around managed services, multi region and multi tenant designs, data residency, cost, performance, and resilience. Knowledge of advanced and new architectures and design paradigms (e.g. agent based systems, service abstractions, semantic data models, knowledge graphs, and where to apply or not). Experienced in ensuring AI enabled systems are explainable, auditable, and operationally safe, with clear judgment on when AI is appropriate versus deterministic or rules based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments. Designs with security and controls built in, with a strong understanding of identity, data protection, failure containment, and regulatory risk. Acts as a coach and multiplier for senior engineers and architects, raising the bar through hands on problem solving, design reviews, and practical guidance rather than formal line management. Pragmatic, direct, and outcome focused. Leads through earned credibility and influence, is comfortable shaping decisions without authority, and communicates complex technical topics clearly to business, client, and regulatory audiences. Measures success by outcomes and evidence, not intent or presentation: technology strategy that translates into systems that work in production, reduce late stage surprises and repeat incidents, scale and recover as designed, and stand up to real operational and regulatory scrutiny. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.

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

Who We AreWe are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis, helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis.Key Objectives of the RoleSupport web analytics strategy, measurement planning, and implementation across websites and campaignsTranslate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputsEnsure data is collected accurately through proper tagging, implementation QA, and ongoing validationBuild and maintain reporting and visualizations across website, media, and first-party data sourcesUse AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficientlyInvestigate trends and performance changes across digital touchpoints and provide actionable recommendationsCollaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundationsPosition AccountabilitiesLead and support Web Analytics engagements in partnership with account service, analytics, and technical teamsOwn the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendationsGather business requirements and translate them into tracking frameworks, measurement plans, and data collection specificationsSupport tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirementsPartner with developers and technical teams during implementation to ensure analytics requirements are correctly deployedPerform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracyMonitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logicDevelop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performanceBuild dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholdersAnalyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiencyInvestigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changesWork with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysisCollaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight developmentParticipate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendationsContribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilitiesPreferred RequirementsRelevant bachelor's degree or equivalent industry experience2-4 years of experience in web analytics, digital analytics, or marketing analyticsExperience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshootingFamiliarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar toolsStrong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metricsWorking knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversionExperience building reports and dashboards using website, media, and first-party dataFamiliarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platformsUnderstanding of data architecture, data structures, and how raw source data translates into reporting outputsExperience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiencyStrong Excel and PowerPoint skillsStrong written, verbal, and presentation skillsAbility to communicate technical concepts and data insights clearly to both technical and non-technical stakeholdersComfortable working cross-functionally with developers, data engineers, analysts, and data scientistsStrong attention to detail, curiosity, and problem-solving abilityWhat you will getProfessional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.Competitive Benefits:Competitive salary and comprehensive health benefits.Generous PTO, wellness initiatives and parental leave.Opportunities for continued learning and professional development.A supportive, collaborative, and casual work environment.How We WorkThis role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability. If you require an accommodation in any aspect of the selection process, please reach out to

End Date: Friday 31 July 2026 Salary Range: £48,987 - £54,430 We support flexible working - click here for more information on flexible working options Job Description Summary The Lloyds Banking Group's Cryptography Lab is revolutionising how cryptography services are delivered to support one of the UK's largest financial services technical transformations. Not only is Lloyds on a historic transformation journey, but cryptography is on the precipice of change due to the threats introduced by Quantum Computing. We seek a motivated SecDevOps Engineer for the Cryptography Lab to collaborate, build and improve Secret Management, Digital Certificates, and support the full lifecycle of encryption Keys. Our mission is to provide seamless and transparent cryptography solutions to the entire Group to ensure our customers' data is protected. About this opportunity The Chief Security Office (CSO) is responsible for protecting the organisation, its customers, and colleagues by delivering secure, resilient, and compliant technology services. Within CSO, the Secrets, Keys and Certificates (SKC) team provides the cryptographic foundations that underpin the bank's digital services, cloud platforms, applications, and emerging technologies. The team is responsible for delivering and operating enterprise cryptographic capabilities across public cloud and on premises environments, ensuring the secure management of secrets, encryption keys, certificates, and digital identities. We work closely with engineering teams, platform providers, architects, and security specialists to enable secure innovation while meeting regulatory and security requirements. This is an exciting opportunity to join a highly skilled team at the centre of the organisation's security strategy, helping to develop and deliver core cryptographic services that support business critical platforms and products. What you'll be doing: Designing, implementing, and supporting enterprise Secrets, Keys and Certificates (SKC) services across multi cloud and on premises environments. Delivering secure cryptographic solutions that enable application teams to protect data, identities, and business transactions. Supporting the lifecycle management of secrets, encryption keys, and digital certificates through automated and self service capabilities. Collaborating with engineering, infrastructure, architecture, and security teams to integrate cryptographic services into new and existing platforms. Driving the adoption of security procedures, cryptographic standards, and secure by design principles across technology teams. Contributing to the development and evolution of cloud native security capabilities, including key management, certificate automation, and secrets management services. Supporting operational resilience through monitoring, incident management, problem resolution, and continuous service improvement activities. Working with internal team members and external vendors to deliver strategic security initiatives and platform improvements. Crafting and maintaining technical documentation, standards, and mentorship to support effective service adoption and governance. Finding opportunities to simplify processes, improve automation, and enhance the overall developer experience for consumers of cryptographic services. Contributing to regulatory, audit, and risk management activities relating to cryptographic controls and security services. Supporting innovation initiatives and emerging technologies, including cloud transformation, digital identity, and distributed ledger platforms. What we're looking for: Working knowledge and hands on experience employing up to date development methods and technologies. Working knowledge and hands on experience of key SecDevOps concepts, tooling and programming / scripting languages: Source Control (GitHub), IDE / Interactive Development Environments (IDE), Command Line Interface (CLI), Bash, Python, Terraform, Harness, Azure DevOps, Containers (Docker, Kubernetes), CI/CD, IaC, PaaS Cloud Platforms (Azure and Google Cloud Platform). Previous experience of working in Financial Services organisations. Excellent problem solving skills. Cloud and/or Security certifications. Worked within a Technical / Engineering team. We recognise that skills are developed in many ways; if you have relevant, transferable experience, we encourage you to apply. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 28 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies We also offer a wide ranging benefits package and are committed to creating an environment in which everyone can thrive, learn and develop. We are committed to building a workforce that reflects the diversity of the customers and communities we serve.