Role Description - Design integrations, ability to assist in technical architecture and identify issues with onsite documentation - Prepare/Enhance Detailed Design Documentation for integrations using UML notations - Build GW Integrations using traditional GW Integration mechanisms to external vendor/internal customer applications - Build/Develop GW Configuration components in support of Integration (Using GOSU, Rules Engine, Data Model, PCF, Workflow, Product Model etc.) - Identify and develop reusable framework, configuration and integration components to be used as is on multiple projects - Unit and Functional Test developed Configuration and Integration Solutions using GUnit, Mockito – Automated and SoapUI - Manual. - Prepare Build and Implementation plans for integration work stream and report integration work stream status - Lead, Manage teams of 5-10 developers and be responsible for delivery of integrations on time - Work with external consultants & developers - Train and build a team of experienced professionals - Willing to travel to either the US, Europe and/or Australia/NZ in support of project implementations Qualifications - Guidewire Integration Cloud Certification is required - Guidewire xCenter Certification a plus Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. - At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. - Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. - We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. - We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace.

Role Description Mirantis is looking for a Technical Product Manager to own networking for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the networking strategy, roadmap, and feature priorities that determine how operators deploy, segment, and scale tenant networks across GPU clusters running large-scale training and inference. GPU cloud networking sits at the intersection of high-performance computing and multi-tenant cloud, and the product must hold both worlds together. You will shape how k0rdent AI reasons about: - Collective communication libraries (NCCL, RCCL, NVSHMEM) - Lossless east-west fabrics over InfiniBand and RoCEv2 - The north-south path through BGP-driven underlays, multi-tenant overlays, and programmable dataplanes accelerated by DPUs and SmartNICs Your job is to make these layers a coherent, declarative product. The ideal candidate brings strong technical fluency in classical networking and the AI stack. You will work directly with engineering to shape requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals. Responsibilities - Own the vision, roadmap, and priorities for k0rdent AI networking, defining how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and more. - Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction. - Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities. - Manage the networking backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning. - Define positioning, packaging, and competitive differentiation for k0rdent AI networking. - Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead. - Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment. Qualifications - 5+ years in product management, technical product management, or a senior technical role owning a networking product, platform, or large-scale automated network. - Hands-on familiarity with BGP, VXLAN/EVPN, VRFs, OVS/OVN, SR-IOV, RDMA/RoCEv2 or InfiniBand, and DNS/IPAM at scale. - Fluency in Linux networking, Kubernetes networking, SDN/overlay networking, hyperscale or service provider networking, or network automation. - Hands-on experience with modern GPU cluster networking, including rail-optimized fabric design, GPUDirect RDMA and collective communication tuning (NCCL, RCCL, NVSHMEM), and DPU/SmartNIC offload. Benefits - Work with an established Silicon Valley leader in the cloud infrastructure industry. - Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. - Be a part of cutting-edge, open-source innovation. - Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. - Professional development and training. - Attend conferences and working groups. - Customized workstation (macOS, Windows). - A competitive compensation package with strong benefits plan and stock options.

• Develop and maintain Python-based backend services and AWS Lambda functions. • Design, build, and deploy cloud infrastructure using AWS CDK. • Implement and manage AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Bedrock. • Build secure and scalable integrations between internal systems and external APIs (e.g., Jira and other enterprise tools). • Manage IAM roles, policies, and secure access patterns across services and environments. • Implement secure secret-handling and credential management practices. • Support GenAI/LLM integrations using Amazon Bedrock and related tooling. • Contribute to AI agent onboarding workflows and runtime execution frameworks (e.g., MCP/tool-based architectures). • Ensure secure usage of LLMs by preventing sensitive data exposure in prompts, logs, and shared environments. • Troubleshoot and resolve cloud infrastructure, deployment, and runtime issues. • Collaborate with platform and product teams to enable scalable internal AI and cloud capabilities.

• Evaluate existing systems and identify opportunities for improvement • Automate processes to increase efficiency and reduce manual effort • Create and maintain clear, useful technical documentation • Build dashboards to monitor system performance and insights