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Delivery Manager (AI in SDLC)
The Delivery Manager will lead end-to-end AI and Generative AI initiatives, guiding teams through the software delivery lifecycle from discovery to production. The role focuses on integrating AI solutions, ensuring measurable value, and applying Agile/Lean frameworks within a distributed team environment.
AI Engineer
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
DevOps Spezialist (gn)
The DevOps Specialist will lead the modernization of infrastructure for an HR-SaaS product, focusing on VMware-based environments, Ansible automation, and CI/CD pipeline optimization. The role involves migrating legacy systems and implementing monitoring and authentication solutions in a fully remote environment.
DevSecOps Engineer- eDV Cleared
DevSecOps Engineer for National Security consultancy projects in Gloucestershire, requiring active Enhanced DV clearance and hands-on experience with CI/CD pipelines, container technologies, and infrastructure-as-code tools like Terraform and Ansible.
Platform Engineer- eDV Cleared
Designs, deploys, and maintains cloud infrastructure for defense/NS clients, focusing on AWS/Azure/GCP, IaC, CI/CD, and containerization to support mission-critical projects requiring security clearance.
Senior DevOps Engineer- eDV Cleared
This role is for a Senior DevOps Engineer to work on mission-critical projects for National Security clients. The position requires active enhanced DV clearance and involves hands-on DevOps work, infrastructure as code, and team leadership.
Lead/ Principal DevOps Engineer- eDV Cleared
This role is for a Lead or Principal DevOps Engineer to work on mission-critical projects for National Security clients. The position requires active enhanced DV clearance and expertise in SRE practices, containerization, and infrastructure as code.
Principal DevOps Engineer- SC Cleared
The Principal DevOps Engineer will lead the delivery of cloud-native solutions for Public Sector and Defence clients. The role requires expertise in AWS, Kubernetes, Terraform, and Linux, and necessitates active SC clearance.
AI Engineer
Design, build, and deploy production LLM-powered applications, multi-agent workflows, and autonomous AI systems using Python, LangChain/LangGraph, and Azure cloud infrastructure in a hybrid London role.
CPE Broadband and Network Engineer
Investigate, replicate, and diagnose complex customer issues with WiFi/Home Hubs and CPE devices in a lab environment, bridging operations and firmware development teams using Python, Linux, Docker, and broadband networking technologies.
Java Full Stack AI Engineer- LINA GI
This Technical Lead role involves end-to-end ownership of full-stack insurance applications using Java and Angular. The position requires extensive experience in cloud-native development, specifically within the Azure ecosystem, to design and deploy scalable, secure solutions.
Technical Delivery Manager- LINA GI
The Technical Delivery Manager will lead end-to-end technology delivery for LINA Korea’s application portfolio, managing engineering squads and coordinating cross-functional stakeholders. The role focuses on translating business priorities into execution plans using Java, cloud, and modern DevOps practices.
Software Engineer III - SRE, Python/Java, AWS, AI
Build and maintain reliable, scalable AWS infrastructure using Terraform and Python, while integrating enterprise AI tools to automate deployments and improve system resilience.
Lead Software Engineer Java
Lead Software Engineer building enterprise-scale batch data processing applications for market surveillance at JPMorgan Chase in Mumbai, using Core Java, Oracle SQL, Autosys, and big data technologies.
Software Engineer III
As a Software Engineer III at JPMorgan Chase, you will design, develop, and troubleshoot data engineering solutions using Java, Spark, Kafka, and ETL tools within an agile environment. The role involves leveraging AI-assisted development tools to build secure, scalable software components for the firm's banking technology products.