We usually respond within three days Role Summary: We are seeking an AI Engineer with a strong background in Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and agentic AI to join our growing team. You will focus on building robust, scalable AI solutions that harness Azure AI capabilities, with a strong emphasis on MLOps and LLM frameworks. You should have a passion for crafting high-quality, production-ready AI systems and a proven track record of delivering impactful solutions. Key Responsibilities: * Design & Develop: Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools. Develop and fine-tune LLMs for domain-specific tasks using popular frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or similar. Build agentic AI systems capable of autonomous reasoning and task execution. * NLP and Advanced Language Models: Work with Natural Language Processing pipelines, including text classification, summarization, entity extraction, and question answering. * MLOps & Azure Integration: Familiarity with CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities. Collaborate with DevOps team to ensure seamless integration of models into production systems. * Innovation & Scalability: Stay at the forefront of AI advancements, particularly in LLMs and Generative AI, to continuously enhance our AI solutions. Drive the adoption of best practices for scalable and secure AI system development on Azure. * Mentorship & Collaboration: Provide technical mentorship to junior engineers and contribute to knowledge-sharing within the team. Collaborate closely with cross-functional teams (Product, Engineering) to translate business requirements into technical solutions. Qualifications & Skills: * Experience: Minimum 4 years of experience in AI engineering, with a strong focus on Generative AI, LLMs, and NLP. Proven experience building and deploying AI models using Azure AI capabilities, including Azure OpenAI, Azure ML, and Azure Cognitive Services. Solid experience with LLM frameworks such as LangChain, LlamaIndex, Hugging Face, etc. Hands-on experience with MLOps pipelines and CI/CD practices. * Technical Skills: Proficiency in Python (including libraries like PyTorch, TensorFlow, and popular LLM frameworks). Strong understanding of LLM fine-tuning, prompt engineering, embedding models, and vector databases (e.g., Azure AI Search, Pinecone, Weaviate). Familiarity with containerization (Docker, Kubernetes) and cloud infrastructure, with a preference for Azure. * Soft Skills: Excellent problem-solving skills, with a focus on delivering production-ready solutions. Strong communication and collaboration abilities, with a knack for explaining complex AI concepts to non-technical stakeholders. Work mode On-site
Implementation Consultant - Hub Platform Technology Partners Limited This website uses cookies to ensure you get the best experience. Hub Platform Technology Partners Limited and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies The Role The implementation consultant will be responsible for leading the end-to-end implementation of HUB for new and existing clients. This includes gathering requirements, understanding data, solution design, configuration, data migration, integration, training, and go-live support . You will work closely with clients to ensure a seamless onboarding experience while collaborating with internal teams across product, engineering, and customer success , with the main goal for delivering value to the customer and supporting their HUB rollout. Accountabilities Engage with client stakeholders (operations, IT, finance) to understand workflows and business objectives. Document functional and technical requirements aligned with best practices. Design solutions leveraging HUB capabilities for NAV oversight, performance management, reporting and post trade. Configure the SaaS platform, ensuring alignment with client requirements. Coordinate internal and client resources to meet implementation goals. Manage data mapping, cleansing, and migration activities. Work with APIs and integration frameworks to connect the platform to market data providers, OMS/EMS, custodians, and other third-party servicer & systems. Conduct end-user training sessions and produce user documentation. Ensure smooth knowledge transfer to client teams. Support user testing and go live process. Provide hypercare and post-go-live support to ensure adoption. Maintain strong client relationships, escalate issues and manage expectations effectively. Deliverables Successful delivery of end-to-end customer go lives Translated stakeholder requirements, including Customer, Design, technology to feed product evolution Contribute to, and drive customer user engagement in delivery process Consistently meet or exceed expectations when evaluated against HUBs core values and technical standards Own your personal continued development About you: Must have Minimum 5+ years business analysis or relevant experience Agile experience working within client implementations Technical experience such as SQL, APIs and integration frameworks Experience working with internal or external customer stakeholders Asset management / financial services experience Proactive, dynamic self-starter who is hands-on and can work across numerous teams in the business A team player, able to work in a collaborative and supportive environment to get things done Someone who can influence decisions, push things along and generally is eager to support moving the product delivery process forward Nice to have. Understanding of integration and functional architecture Knowledge of the Azure cloud stack Our team To all potential Hubsters, we are a team of dedicated experts in HUB offices across the world, united in the common pursuit of building the Financial Operations HUB of the future. Own it Be ALL IN . We are disciplined, commercially minded and committed to the business and our team. We find a way that leads to success for HUB and our customers. Enjoy the journey We are positive, we embrace the challenge and have fun along the way. We celebrate the wins; we are respectful to everyone while building trusting and rewarding relationships. Be relentless Obstacles do not hold us back or slow us down. Our ambitions never stop they enable us to think big while we stay focused to deliver big. Embrace uncertainty We are building a market defining operating model. The path to delivery in not set. To deliver we adapt, we debate, we align and we move forward together.
We are building the financial operations HUB of the future. Our collective success requires an exacting blend of, technological prowess, deep industry knowledge, customer centricity and a singularly motivated team. Purpose Reporting to a Delivery Lead, the Senior Engineer is considered an individual contributor responsible for delivering product requirements and features end to end. The Senior Engineer ensures software is written to highest quality in line with HUBs internal standards and reference architecture guidelines. The Senior Engineer takes responsibility for a single products code base and helps it evolve in line with the guidelines defined by Architects and the features required by the Product Owner. Accountabilities Ensuring the highest quality of source code, limiting technical debt where possible Maintaining a high level of User Story hygiene including estimation and status updates Ensuring product requirements are understood and delivered in accordance with your own estimates Keeping up to date with the latest technology trends and releases Delivering in scenarios where you may not agree with every design decision Understanding the pros and cons of complex architecture patterns and translating these into technical implementations Mentoring Associate Engineers Being curious never be afraid to ask questions Deliverables Delivery of product features in line with a product roadmap Delivery of source code that meets HUBs internal standards and quality rules Contribute to an engineering community across all product teams at HUB Consistently meet or exceed expectations when evaluated against HUBs core values and technical standards Own your personal development About you: Must have: 6 + years writing core Java in any environment (Large Enterprise, SME or Start-up) Experience working with distributed systems and event driven architectures Expert with Spring Boot, RESTful APIs and gRPC Expert with persistence patterns using JPA, Hibernate and SQL databases Extensive experience using modern Java including Streams, Lambda Expressions and Functional Programming Experience building, maintaining, and monitoring Microservices Experience working with CI/CD pipelines with one of: Jenkins, GitLab CI, GitHub Actions, Azure DevOps Pipelines Familiarity with at least one major public cloud provider (AWS, Azure or GCP) Comfortable working in an Agile environment where iterative development and regular demos are the norm A natural problem solver Nice to have: Familiar with the concepts of Domain Driven Design (DDD) Bounded Contexts, Aggregates, Entities, Value Objects, Domain Events, Services, Repositories Container orchestration with Managed Kubernetes (AKS, EKS, GKE) Experience building software that integrates with any of the major cloud providers (Preferably Azure) Familiarity with event driven technologies (Kafka, Event Buses etc ) Experience with stream processing technologies (Spark, Flink etc...) Front end experience with modern JavaScript frameworks (Angular, React, Vue) Financial Services domain experience
DevOps Engineer - Hub Platform Technology Partners Limited This website uses cookies to ensure you get the best experience. Hub Platform Technology Partners Limited and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies DevOps Engineer We are seeking a highly skilled and motivated Senior Azure Platform & DevOps Engineer to lead the design, automation, and management of scalable, secure, and cost-optimised cloud infrastructure on Microsoft Azure. This role blends deep expertise in Azure infrastructure engineering, DevOps practices, and platform reliability, with a strong focus on Kubernetes, CI/CD, and event-driven architectures. Key Responsibilities Azure Infrastructure & Platform Engineering (60%) Architect, deploy, and manage cloud infrastructure on Azure using Infrastructure as Code tools such as Terraform, Bicep, and ARM templates. Build secure, scalable, and highly available solutions aligned with architectural best practices. Manage Azure networking, identity, RBAC, and help ensure compliance with standards such as SOC 2, NIST, and internal governance frameworks. Implement cost optimisation, backup/recovery, and business continuity strategies. Maintain and support Kafka clusters (Apache Kafka or Confluent) for event-driven systems. DevOps, Automation & Containerisation (40%) Develop and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Argo CD. Automate infrastructure provisioning and operations using Linux, PowerShell, Python, Bash, or Golang. Implement GitOps workflows and automate Kubernetes deployments using Argo CD or Flux. Manage containerised workloads on Azure Kubernetes Service (AKS), including scaling, monitoring, and troubleshooting. Collaborate closely with development teams to ensure smooth deployments and platform reliability. Required Skills & Experience At least 5 years proven experience in cloud infrastructure and DevOps engineering, with a strong focus on Azure. Ability to communicate technically complex concepts to stakeholders Problem-solving, communication, and collaboration skills in cross-functional environments. Familiarity with application development processes and debugging. Experience with container security, RBAC, and cloud-native security practices. Hands-on expertise with Azure IaaS/PaaS, networking, identity, and security. Proficiency in Infrastructure as Code using Terraform, Bicep, or ARM templates. Experience managing Kubernetes (AKS) in production environments and deploying with Helm and Argo CD. Strong scripting skills in Linux, PowerShell, Python, or Golang. Experience with Kafka or Confluent platforms. Solid understanding of CI/CD pipelines, monitoring, logging, and alerting using tools like Azure Monitor and Prometheus. Knowledge of cloud governance, cost management, and security best practices. Preferred Qualifications Bachelors degree in computer science, information technology, or a related field. Certifications such as Microsoft Azure (AZ-104, AZ-305) or Kubernetes (CKA). Our team To all potential Hubsters, we are a team of dedicated experts in HUB offices across the world, united in the common pursuit of building the Financial Operations HUB of the future. Own it Be ALL IN . We are disciplined, commercially minded and committed to the business and our team. We find a way that leads to success for HUB and our customers. Enjoy the journey We are positive, we embrace the challenge and have fun along the way. We celebrate the wins; we are respectful to everyone while building trusting and rewarding relationships. Be relentless Obstacles do not hold us back or slow us down. Our ambitions never stop they enable us to think big while we stay focused to deliver big. Embrace uncertainty We are building a market defining operating model. The path to delivery in not set. To deliver we adapt, we debate, we align and we move forward together.
Senior DevOps Engineer - Hub Platform Technology Partners Limited This website uses cookies to ensure you get the best experience. Hub Platform Technology Partners Limited and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. Decline all non-necessary cookies Senior DevOps Engineer We are seeking a highly skilled and motivated Senior Azure Platform & DevOps Engineer to lead the design, automation, and management of scalable, secure, and cost-optimised cloud infrastructure on Microsoft Azure. This role blends deep expertise in Azure infrastructure engineering, DevOps practices, and platform reliability, with a strong focus on Kubernetes, CI/CD, and event-driven architectures. Key Responsibilities Azure Infrastructure & Platform Engineering (60%) Architect, deploy, and manage cloud infrastructure on Azure using Infrastructure as Code tools such as Terraform, Bicep, and ARM templates. Build secure, scalable, and highly available solutions aligned with architectural best practices. Manage Azure networking, identity, RBAC, and help ensure compliance with standards such as SOC 2, NIST, and internal governance frameworks. Implement cost optimisation, backup/recovery, and business continuity strategies. Maintain and support Kafka clusters (Apache Kafka or Confluent) for event-driven systems. DevOps, Automation & Containerisation (40%) Develop and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Argo CD. Automate infrastructure provisioning and operations using Linux, PowerShell, Python, Bash, or Golang. Implement GitOps workflows and automate Kubernetes deployments using Argo CD or Flux. Manage containerised workloads on Azure Kubernetes Service (AKS), including scaling, monitoring, and troubleshooting. Collaborate closely with development teams to ensure smooth deployments and platform reliability. Required Skills & Experience At least 8 years proven experience in cloud infrastructure and DevOps engineering, with a strong focus on Azure. Ability to communicate technically complex concepts to stakeholders Strong problem-solving, communication, and collaboration skills in cross-functional environments. Familiarity with application development processes and debugging. Experience with container security, RBAC, and cloud-native security practices. Hands-on expertise with Azure IaaS/PaaS, networking, identity, and security. Proficiency in Infrastructure as Code using Terraform, Bicep, or ARM templates. Experience managing Kubernetes (AKS) in production environments and deploying with Helm and Argo CD. Strong scripting skills in Linux, PowerShell, Python, or Golang. Experience with Kafka or Confluent platforms. Solid understanding of CI/CD pipelines, monitoring, logging, and alerting using tools like Azure Monitor and Prometheus. Knowledge of cloud governance, cost management, and security best practices. Preferred Qualifications Bachelors degree in computer science, information technology, or a related field. Certifications such as Microsoft Azure (AZ-104, AZ-305) or Kubernetes (CKA). Our team To all potential Hubsters, we are a team of dedicated experts in HUB offices across the world, united in the common pursuit of building the Financial Operations HUB of the future. Own it Be ALL IN . We are disciplined, commercially minded and committed to the business and our team. We find a way that leads to success for HUB and our customers. Enjoy the journey We are positive, we embrace the challenge and have fun along the way. We celebrate the wins; we are respectful to everyone while building trusting and rewarding relationships. Be relentless Obstacles do not hold us back or slow us down. Our ambitions never stop they enable us to think big while we stay focused to deliver big. Embrace uncertainty We are building a market defining operating model. The path to delivery in not set. To deliver we adapt, we debate, we align and we move forward together.