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We’re seeking an experiencedSenior System Analystto guide strategic system analysis across complex business initiatives. You’ll mentor a team of analysts, translate business needs into technical solutions, and collaborate with stakeholders to ensure efficient system implementation and optimization. • Lead requirements gathering and requirements management across stakeholder groups. Validate, document, and manage evolving system specifications., • Conduct business process analysis, identifying inefficiencies, redundancies, and opportunities. Use modeling techniques to propose optimized workflows., • Translate business requirements into technical designs, data mappings, integration specs (APIs, source‑to‑target mapping), and user acceptance testing criteria., • Oversee design documentation, test plans, functional and non‑functional specifications; validate and test solutions through QA and UAT phases., • Serve as technical liaison: aligning IT delivery (developers, architects, QA) with stakeholder expectations and timelines. Escalate issues and act as primary point of contact., • Mentor, train, and lead junior system/business analysts; contribute to staff hiring, performance reviews, and ongoing development., • Identify and implement process improvements, establish best practices for analysis and documentation standards across the team., • Participate in strategic planning, enterprise architecture initiatives, and assess risk/opportunities associated with systems enhancements., • Bachelor’s degree in Computer Science, Information Systems, Business Administration, and/or related experience, • 7–10+ years of experience in systems/business analysis; including 2+ years in a leadership or supervisory position., • Experience with Data and/or AI will be a bonus., • Excellent communication, facilitation, problem‑solving, and organizational skills. Able to translate technical details into business‑friendly language. #J-18808-Ljbffr

Solution Design and Delivery: • Lead architecture and deployment of VMware Cloud Foundation (VCF), NSX-T, and vSAN solutions., • Plan and execute upgrades, migrations, and lifecycle management using SDDC Manager / LCM., • Architect and manage multi-site DR, stretched clusters, and cross-site networking (L2/L3)., • Work closely with stakeholders to understand business requirements and translate them into VMware-based solutions tailored to client needs., • Conduct capacity planning and performance tuning for VMware infrastructures to meet operational needs. VMware Infrastructure Management: • Administer VMware VCF, vSphere, vCenter, ESXi hosts, and VMware vSAN environments., • Implement and manage VMware vRealize Suite for automation, orchestration, and monitoring of VMware environments. Performance Optimization & Troubleshooting: • Integrate VMware platforms with backup, monitoring, and automation tools (Aria Operations, Aria Automation, SRM, Veeam, etc.)., • Perform root cause analysis for VMware infrastructure performance issues and implement corrective actions., • Optimize VMware clusters and virtual machines to maximize resource utilization and minimize overhead., • Monitor and proactively troubleshoot virtualized environments, identifying and resolving issues before they impact operations. Security and Compliance: • Implement security best practices including micro-segmentation, certificates, RBAC, and compliance hardening., • Implement best practices for securing VMware environments, including patch management, network segmentation, and user access control., • Ensure compliance with industry standards (HIPAA, PCI DSS, GDPR, etc.) by following proper security and auditing procedures., • Work with security teams to address vulnerabilities and ensure data protection in virtualized environments. Client Engagement & Consulting: • Engage with clients to understand their infrastructure needs and business objectives, advising on the best VMware solutions., • Guide clients through solution deployments, providing expert-level advice and best practices for VMware infrastructure management. Documentation and Reporting: • Document solution designs, implementation steps, and operational procedures., • Provide clear and comprehensive reporting on the health, performance, and security of VMware environments., • Maintain and update knowledge repositories and standard operating procedures for VMware-related tasks and processes., • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience)., • Experience: 10+ years of experience working with VMware solutions (vSphere, NSX, vSAN, Aria Suite)., • Proven experience in designing, implementing, and managing VMware-based solutions in production environments., • Experience in delivering solution-based projects from start to finish, with a focus on customer satisfaction and performance., • Knowledge of cloud technologies (AWS, Azure) and hybrid cloud integrations with VMware. #J-18808-Ljbffr

We're looking for a hands-on cluster administration engineer to own and operate the high-performance GPU compute infrastructure that keeps Inferact engineering productive. Bachelor's degree or equivalent experience in computer science, engineering, systems administration, or similar. Strong Linux sy

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build. We're looking for a performance engineer to squeeze every FLOP out of modern accelerators. You'll write the kernels and low-level optimizations that make vLLM the fastest inference engine in the world. Your code will run on hundreds of accelerator types, from NVIDIA GPUs to emerging silicon. When hardware vendors develop new chips, they integrate with vLLM. You'll work directly with these teams to ensure we're extracting maximum performance from every generation of hardware. • Bachelor's degree or equivalent experience in computer science, engineering, or similar., • Deep experience writing CUDA kernels or equivalent (CuTeDSL, Triton, TileLang, Pallas)., • Strong understanding of GPU architecture: memory hierarchy, warp scheduling, tiling, tensor cores., • Proficiency in C++ and Python with demonstrated ability to write high-performance code., • Experience with profiling tools (Nsight, rocprof) and performance optimization methodologies., • Obsession with benchmarks and squeezing every percentage point of speedup., • Experience with ML-specific kernel optimization (FlashAttention, fused kernels)., • Knowledge of quantization techniques (INT8, FP8, mixed-precision)., • Familiarity with multiple accelerator platforms (NVIDIA, AMD, TPU, Intel)., • Experience with compiler technologies (LLVM, MLIR, XLA)., • Kernel-related contributions to vLLM or other inference engine projects., • Contributions to open-source GPU, ML systems, or compiler optimization projects, • Written deep technical blogs on GPU optimization. Fresh graduates are welcome to apply. Minimum years of work experience: 0. Compensation: Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity. Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage. #J-18808-Ljbffr

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build. We're looking for an cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works. Bachelor's degree or equivalent experience in computer science, engineering, or similar. Strong experience with Kubernetes and container orchestration at scale. Experience designing and implementing custom Kubernetes operators. Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc). Experience managing GPU clusters and debugging hardware issues. Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure. Experience with ML-specific orchestration tools (Ray, Slurm). Knowledge of GPU scheduling, multi-tenancy, and resource optimization. Familiarity with vLLM deployment patterns and configuration. Track record of improving operational reliability for ML systems. Experience deploying inference systems on large-scale GPU (1,000+) clusters. Fresh graduates are welcome to apply. Minimum years of work experience: 0. Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity. Inferact offers a generous benefits package, including medical, dental, and vision coverage. #J-18808-Ljbffr

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware-a position that took years to build. We're looking for an infrastructure engineer to build the distributed systems that power inference at global scale. You'll design and implement the foundational layers that enable vLLM to serve models across thousands of accelerators with minimal latency and maximum reliability. Tomorrow, deploying a frontier model at scale should be as straightforward as spinning up a serverless database. The complexity doesn't disappear as it gets absorbed into the infrastructure you're building. • Bachelor's degree or equivalent experience in computer science, engineering, or similar., • Strong systems programming skills in Rust, Go, or C++., • Experience designing and building high-performance distributed systems at scale., • Understanding of network protocols and high-performance I/O., • Ability to debug complex distributed systems issues., • Experience with ML serving infrastructure and disaggregated inference architecture., • Familiarity with GPU programming models and memory hierarchies., • Knowledge of GPU interconnects (NVLink, InfiniBand, RoCE) and their performance characteristics., • Track record of improving system reliability and performance at scale., • Prior experience in supporting large-scale model training or inference environments. Fresh graduates are welcome to apply. Minimum years of work experience: 0. Compensation: Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity. Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage. #J-18808-Ljbffr

Job Responsibilities: • Design, deployment, administration and optimization of VMware Cloud Foundation (VCF), vSphere, vCenter, ESXi, NSX-T and vSAN environments., • VCF lifecycle management, upgrades, migrations, SDDC Manager / LCM activities and platform health remediation., • Day-2 operations, root-cause analysis, performance tuning, troubleshooting and capacity planning., • Integration with Aria Operations / Automation, backup, monitoring, SRM / DR and related infrastructure tooling., • Support for VKS / Tanzu / Kubernetes-related platform activities where required by project scope., • Customer-facing technical consulting, architecture reviews, implementation planning, documentation, SOPs, knowledge transfer and reporting., • Participation in solution design, presales / technical advisory and managed-services opportunities aligned with service portfolio., • Progressive ownership of customer engagements and mentoring / enablement responsibilities as the technical team grows. Job Requirements: • Degree in IT, Computer Science, Engineer or a related field, • At least 5 years of experience in WMware/ virtualization infrastructure, • Hands-on experience with VMware vSphere, vCenter, ESXi, NSX-T and vSAN., • Experience in VMware Cloud Foundation (VCF) deployment, administration and lifecycle management., • Good troubleshooting, problem-solving and infrastructure support skills., • Able to work independently, manage projects and provide technical documentation and knowledge transfer #J-18808-Ljbffr

We are looking for an AI Engineer with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, Google Cloud and AI-powered User Experience (UX) to design, develop and deliver scalable enterprise AI solutions. The role combines hands-on AI/ML engineering with AI/UX design, working closely with Data Scientists, ML Engineers, UX Designers, Product Managers, Cloud Architects and business stakeholders to build intelligent, user-centric and enterprise-ready solutions. • AI/ML Engineering & Solution Development Design, develop and support scalable and optimised AI/ML solutions for enterprise use cases., • Develop and implement AI/ML algorithms and solutions based on business and user requirements., • Build data processing workflows for extracting, transforming and loading large volumes of structured and unstructured data., • Prepare, integrate and transform data required for AI/ML model development and deployment., • Work with Data Scientists and ML Engineers to convert analytical and theoretical models into production-ready AI solutions., • Conduct experiments to evaluate model performance, accuracy, scalability and reliability., • Identify, troubleshoot and resolve issues affecting deployed AI/ML solutions., • Apply statistics, scripting and programming skills to develop and optimise AI solutions., • Work with relevant software platforms and cloud environments where AI/ML models are developed and deployed., • Google Cloud AI & Generative AI Design and deliver AI solutions using Google Cloud AI services, including Vertex AI and managed ML services., • Develop enterprise use cases using Generative AI, LLMs, foundation models, embeddings and conversational AI., • Design AI/ML pipelines covering data ingestion, processing, model development, testing, deployment and monitoring., • Work with BigQuery, data pipelines and Google Cloud analytics services to support AI/ML workflows., • Integrate Google AI APIs for use cases including Natural Language, Vision, Speech, Search and Recommendations., • Evaluate and experiment with emerging Google AI capabilities and translate them into practical enterprise solutions., • Balance custom AI/ML development with managed Google Cloud services based on performance, scalability, cost and business requirements., • MLOps & Model Lifecycle Support model training, validation, deployment, monitoring and lifecycle management., • Implement appropriate MLOps practices for model versioning, deployment and monitoring., • Monitor deployed models and identify opportunities for performance optimisation., • Support continuous improvement of AI/ML solutions based on model performance and user feedback., • Ensure AI solutions are scalable, reliable and suitable for enterprise production environments., • AI/UX & User Experience Design AI-powered experiences that translate complex AI capabilities and model outputs into intuitive user interactions., • Work with UX teams to integrate AI capabilities across web, mobile, conversational interfaces, dashboards and enterprise applications., • Design interfaces that allow users to understand, validate and act on AI-generated insights., • Develop explainable and transparent AI experiences that improve user trust and adoption., • Design human-in-the-loop workflows where users can review, challenge and provide feedback on AI outputs., • Contribute to user research, journey mapping, prototyping and usability testing for AI-powered products. Translate user needs and business requirements into practical AI solution designs., • Data, Analytics & AI Insights Work with Data Scientists, Data Engineers and Analytics teams to prepare and utilise data for AI solutions., • Analyse complex datasets and AI outputs to identify actionable business insights., • Define and track AI solution KPIs including model performance, adoption, accuracy, user engagement and business impact., • Support experimentation and A/B testing to evaluate AI features and user experiences., • Assess data quality, bias and representativeness to support reliable AI outcomes., • Responsible AI & Governance Apply responsible AI principles throughout the design and development lifecycle., • Identify and address risks relating to bias, fairness, privacy, security, transparency and explainability., • Support responsible use of enterprise data in AI/ML solutions., • Ensure AI solutions align with applicable data protection, security and regulatory requirements., • Promote transparent and human-centred AI design practices., • Stakeholder & Client Collaboration Collaborate with Product Managers, UX Designers, Data Scientists, Data Engineers, Cloud Architects and business stakeholders., • Translate business requirements into technical AI/ML solutions and user-centric experiences., • Lead technical discussions, AI solution workshops and design-thinking sessions with stakeholders., • Communicate AI concepts, model outputs and technical considerations to both technical and non-technical audiences., • Support client engagements, solution proposals, proof-of-concepts and AI transformation initiatives., • Bachelor's in Computer Science, Information Technology, AI/ML or related fields., • 3+ years of professional experience in AI/ML engineering, AI solution development or related AI engineering roles., • Strong hands-on experience developing and deploying AI/ML solutions., • Experience with data extraction, transformation, integration and processing for AI/ML applications., • Strong programming/scripting skills in Python or equivalent programming languages., • Strong understanding of machine learning, statistics, algorithms and model evaluation., • Experience working with Generative AI, LLMs, embeddings and conversational AI., • Hands-on experience with Google Cloud AI / Vertex AI or comparable enterprise AI/ML platforms., • Experience with BigQuery, cloud data pipelines and analytics platforms., • Understanding of MLOps, including model training, deployment, monitoring, versioning and lifecycle management., • Experience troubleshooting and optimising deployed AI/ML models., • Experience designing or contributing to AI-powered UX and enterprise digital experiences., • Knowledge of UX principles, user research, prototyping and human-centred design is highly desirable., • Experience with Figma or similar UX/prototyping tools is an advantage., • Strong understanding of responsible AI, explainability, data privacy and AI governance., • Excellent communication, stakeholder management and presentation skills., • Experience working in Agile, Design Thinking or cross-functional product development environments. #J-18808-Ljbffr

• We are seeking a Solution Architect - Data & AI to lead end-to-end architecture across presales and delivery., • The role will translate business requirements into scalable, secure, and commercially viable Data & AI solutions while providing technical leadership throughout implementation., • Lead Data & AI solutioning for RFPs, RFIs, tenders, proposals, and client engagements., • Understand business objectives, data maturity, technical requirements, and AI opportunities., • Develop solution architectures, estimates, delivery roadmaps, risks, dependencies, and implementation approaches., • Design enterprise data platforms, analytics, AI/ML, GenAI, integration, security, and governance solutions across cloud, hybrid, and on-premises environments., • Architect data lakes, data warehouses, lakehouses, streaming, ETL/ELT, metadata, lineage, and data quality solutions., • Design GenAI solutions involving LLMs, RAG, embeddings, vector databases, and enterprise knowledge search., • Define MLOps/ModelOps, model monitoring, AI lifecycle management, and responsible AI practices., • Establish data and AI governance covering privacy, security, access control, compliance, transparency, and model risk., • Evaluate and recommend technologies based on performance, scalability, security, reliability, and cost., • Provide architecture leadership during delivery and ensure implementation aligns with approved designs., • Conduct architecture reviews, resolve technical issues, and guide engineering teams., • Develop architecture diagrams, solution blueprints, technical specifications, and design documentation., • Present technical solutions and recommendations to senior business and technical stakeholders., • Bachelor's or Master's degree in Computer Science, Data Engineering, AI, Software Engineering, or a related field., • 15+ years of technology experience, including significant experience in solution/data/AI architecture., • Proven experience in both presales solutioning and delivery architecture for enterprise Data & AI projects., • Strong knowledge of cloud platforms, modern data architecture, AI/ML, GenAI, integration, security, and governance., • Experience with AWS, Azure, GCP, Databricks, Snowflake, Microsoft Fabric, Synapse, BigQuery, or equivalent platforms., • Strong understanding of RAG, LLMs, vector databases, MLOps/ModelOps, and AI governance., • Experience in consulting, technology services, or large-scale enterprise transformation., • Excellent client-facing communication, presentation, documentation, and stakeholder management skills., • Strong commercial awareness, analytical thinking, and problem-solving abilities. #J-18808-Ljbffr

Job description We are seeking an experienced AWS Cloud Engineer to support the operation, administration, deployment, and migration of AWS cloud infrastructure. The role will focus on maintaining secure, reliable, and scalable cloud environments, implementing automation, supporting migration activities, and resolving technical issues in accordance with defined service levels. Key Responsibilities Perform daily operations and administration of AWS cloud infrastructure. Configure and maintain AWS environments to meet performance, security, scalability, availability, and maintainability requirements. Implement infrastructure automation using Terraform, AWS CloudFormation, Ansible, and related tools. Develop and maintain automated processes for cloud provisioning, configuration, deployment, and operational activities. Maintain AWS cloud systems and ensure technical documentation is kept up to date. Collaborate with solution architects and technical teams on cloud infrastructure operations and administration. Participate in cloud migration activities, including virtual machine and database migrations. Troubleshoot cloud infrastructure and operational issues and ensure timely resolution in accordance with defined SLAs. Participate in technical and operational meetings and contribute to process improvement initiatives. Provide technical support for cloud infrastructure implementation and operational activities. Monitor cloud environments and identify opportunities to improve performance, reliability, security, and operational efficiency. Maintain relevant technical certifications and continuously develop cloud and infrastructure skills. Qualifications and Requirements Degree in Computer Science, Information Systems, Information Technology, or a related discipline. Minimum 3+ years of relevant experience in cloud operations, cloud administration, infrastructure deployment, or related areas. Hands-on experience with AWS cloud infrastructure, administration, and deployment. Experience in AWS cloud migration projects, including virtual machine and database migrations. Practical experience with Terraform, AWS CloudFormation, Ansible, or similar automation and infrastructure-as-code tools. AWS Certified Solutions Architect – Associate certification is required. Strong understanding of cloud infrastructure, security, scalability, and operational practices. Strong analytical and problem-solving skills. Good communication and collaboration skills. Ability to troubleshoot and resolve technical issues within defined service levels. Preferred Qualifications AWS Specialty certification. AWS DevOps or Database certification. Certified Kubernetes Administrator (CKA) certification. Practical experience with Kubernetes or other containerisation technologies. Experience with additional DevOps, automation, monitoring, or configuration management tools. #J-18808-Ljbffr

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build. We're looking for a TPU performance engineer to make vLLM a first-class inference engine on Google TPUs. You'll build and optimize TPU backends, compiler integrations, runtime paths, and benchmarking infrastructure using JAX, XLA, Pallas, and related tooling so vLLM can deliver frontier inference performance on TPU hardware. You'll work at the boundary of inference systems, kernels, compilers, and hardware architecture, improving production-relevant model serving on TPU with clear correctness, latency, and throughput benchmarks. Your work will help make TPU support in vLLM usable, fast, benchmarked, and maintainable. • Bachelor's degree or equivalent experience in computer science, engineering, systems, machine learning, or similar., • Hands-on experience building or optimizing TPU workloads using JAX, XLA, Pallas, or related compiler and runtime tooling., • Deep understanding of TPU execution, memory behavior, compilation, and performance constraints for ML workloads., • Experience optimizing ML kernels or inference paths such as attention, GEMM, sampling, KV cache, fused kernels, or backend runtime paths., • Strong performance profiling and benchmarking skills, with the ability to use measurements, compiler artifacts, correctness tests, and reproducible benchmarks to guide optimization work., • Experience with vLLM, SGLang, TensorRT-LLM, XLA-based serving, or other LLM inference systems., • Familiarity with batching, KV cache, decoding, serving tradeoffs, and backend performance constraints in production inference systems., • Experience with compiler technologies such as XLA, MLIR, LLVM, Pallas, or other kernel DSLs, including lowering, fusion, and backend code generation., • Knowledge of quantization methods such as INT8, FP8, mixed precision, or TPU-specific numeric formats, including accuracy and performance tradeoffs., • Contributed to vLLM, JAX/XLA, Pallas, PyTorch/XLA, compiler projects, or other open-source ML infrastructure., • Built TPU benchmarking infrastructure or automated performance regression detection for accelerator workloads., • Worked directly with Google TPU ecosystem stakeholders, accelerator platform teams, or early-access programs to ship backend, compiler, or inference performance improvements. Fresh graduates are welcome to apply. Minimum years of work experience: 0. Compensation: Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity. Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage. #J-18808-Ljbffr

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build. We're looking for an AMD GPU performance engineer to make vLLM a first-class inference engine across the AMD accelerator ecosystem. You'll build and optimize AMD GPU backends, kernels, runtime paths, and benchmarking infrastructure using ROCm, HIP, Triton, CK, AITER, and related tooling so vLLM can deliver frontier inference performance on AMD GPUs. You'll work at the boundary of inference systems, kernels, compilers, and hardware architecture, improving performance-critical paths such as attention, GEMM, sampling, KV cache, and communication-heavy operations. Your work will help make AMD GPU support in vLLM usable, fast, benchmarked, and maintainable. • Bachelor's degree or equivalent experience in computer science, engineering, systems, machine learning, or similar., • Hands-on experience optimizing AMD GPU workloads using ROCm, HIP, Triton, CK, AITER, or similar AMD ecosystem tools., • Deep understanding of AMD GPU execution, memory behavior, toolchains, kernel performance, and backend-specific performance constraints., • Experience optimizing ML kernels or inference paths such as attention, GEMM, sampling, KV cache, fused kernels, or communication-heavy runtime paths., • Strong performance profiling and benchmarking skills, with the ability to use measurements, hardware counters, correctness tests, and reproducible benchmarks to guide optimization work., • Experience with vLLM, SGLang, TensorRT-LLM, ROCm-based serving, or other LLM inference systems., • Familiarity with batching, KV cache, decoding, serving tradeoffs, and backend performance constraints in production inference systems., • Experience with compiler and kernel technologies such as Triton, MLIR, LLVM, CK, AITER, HIP, or other kernel DSLs and backend libraries., • Knowledge of quantization methods such as INT8, FP8, mixed precision, or AMD hardware-specific numeric formats, including accuracy and performance tradeoffs., • Contributed to vLLM, ROCm, HIP, Triton, CK, AITER, PyTorch, compiler projects, or other open-source ML infrastructure., • Built AMD GPU benchmarking infrastructure or automated performance regression detection for accelerator workloads., • Worked directly with AMD, accelerator platform teams, or early-access programs to ship backend, compiler, or inference performance improvements. Fresh graduates are welcome to apply. Minimum years of work experience: 0. Compensation: Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity. Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage. #J-18808-Ljbffr

Accenture is seeking an experienced Azure DevOps Architect (CL6) to lead the design and implementation of secure, scalable, and cloud-native engineering platforms that accelerate delivery across complex enterprise transformation programmes. This role will play a critical part in shaping cloud architecture, driving DevSecOps adoption, and ensuring technology solutions meet security, reliability, and regulatory requirements within a fast-paced delivery environment. • Define and govern enterprise-scale Azure cloud and DevOps architecture standards across multiple delivery teams., • Design and implement robust CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, ArgoCD, or equivalent tooling., • Lead Infrastructure as Code (IaC) initiatives using Terraform, Ansible, Helm, and cloud-native automation frameworks., • Architect and optimize containerized platforms leveraging Kubernetes, OpenShift, Azure Kubernetes Service (AKS), or Azure Red Hat OpenShift (ARO)., • Develop resilient cloud solutions that support high availability, disaster recovery, security, and operational excellence., • Establish and promote DevSecOps practices, including automated security testing, secrets management, compliance controls, and policy enforcement., • Drive architecture governance, facilitate cross-team alignment workshops, and resolve technical design challenges across workstreams., • Mentor mid-level and senior engineers, providing guidance on cloud architecture, engineering best practices, and platform modernization., • Contribute to technical risk assessments and elevate programme-level risks to technology leadership where appropriate., • Define observability strategies using platforms such as ELK, Prometheus, Grafana, and Splunk to improve system reliability and operational insight., • Proven experience as a Cloud Architect, DevOps Architect, or Platform Architect within financial services or other highly regulated industries., • Deep expertise in CI/CD architecture and engineering using Azure DevOps, GitHub Actions, Jenkins, ArgoCD, or related technologies., • Strong hands‑on experience with Terraform, Ansible, Helm, and Infrastructure as Code methodologies., • Extensive experience designing and operating Kubernetes-based platforms, including AKS, ARO, OpenShift, or equivalent environments., • Advanced knowledge of Azure services covering compute, networking, security, identity, monitoring, and governance., • Strong background in microservices architecture using Java/Spring Boot, event‑driven systems using Kafka, and distributed caching technologies such as Redis or Hazelcast., • Expertise in API architecture, RESTful services, OpenAPI/Swagger standards, and integration design patterns., • Demonstrated experience implementing DevSecOps controls, including SAST, DAST, secrets management, and compliance automation., • Excellent stakeholder management, technical communication, and documentation skills., • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline., • Microsoft Azure certifications such as Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or equivalent., • Experience working within large-scale transformation or modernization programmes., • Knowledge of cloud security frameworks, regulatory compliance controls, and governance processes., • Experience leading architecture reviews and technology communities of practice. We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well‑being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™. Join Accenture to work at the heart of change. Visit us at www.accenture.com. 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. #J-18808-Ljbffr

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

Are you an exceptional Head of Computer Science ready to take ownership of a growing subject area? We are working with a successful secondary school in Bushey, Hertfordshire, seeking a Head of Computer Science to join on a full-time, permanent basis from January 2027, with an April 2027 start potent

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Term time teachers are looking for a highly experienced computer science teacher to join a strong computer science department in Tonbridge. Position: Computer Science TeacherLocation: Tonbridge Employment Type: Permanent Start Date: September 2026. Plan, deliver, and assess engaging Computer Science

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Monzo is seeking a Product Data Scientist to help build the bank of the future.You’ll work in cross-functional squads, embedding in a product team with engineers, designers, marketers and PMs to supercharge user engagement in 2025.You’ll apply quantitative analysis, run large-scale A/B experimen

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Monzo is seeking a Staff Data Scientist to lead and shape strategic, high-impact data science initiatives across the business.

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Monzo is seeking a Product Data Scientist to help build the bank of the future and boost user engagement in 2025.You will be embedded in a cross-functional squad with engineers, designers, marketers, and product managers to turn data into strategic decisions.You’ll analyze user interactions, run l

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We’re looking for a Product Data Scientist excited to help build the bank of the future.You’ll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.We work in cross-functional squads where every data scientist is a member of a cen

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Monzo is seeking a Senior Product Data Scientist to help build the bank of the future and boost user engagement in 2025.You will work in cross-functional squads, applying quantitative analysis and real-time analytics to inform product decisions and improve engagement.You will collaborate with engine

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Warehouse Operatives - MARCH - £12.Temporary Job Overview We are looking for reliable and hardworking Warehouse Operatives to join our team on a temporary basis.The role involves loading and unloading shipping containers, handling goods safely and assisting with general warehouse duties.Key Respons

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We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. Throughout the pro

Relevant qualification or equivalent practical experience in data analytics, performance analysis, sports science, computer science or a related discipline.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

Job Description: Company Overview City Group Managed Services Ltd is a prominent Facilities Management provider based in the Northwest, renowned for delivering a wide range of essential services through a skilled and diverse workforce.Our expertise spans cleaning, security, maintenance, and more, se