• managing IT infrastructure (on-prem/hosted and cloud environments) • responding to alerts generated by monitoring and operational tools • performing routine updates and upgrades on servers, storage, and hypervisors • participating in on-call rotations, including weekends and after-hours support

Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. HPE CloudOps is looking for a seasoned enterprise sales professional with a strong track record selling SaaS-based Hybrid/Multi-Cloud Management platforms and solutions in Observability, AIOps, and IT Operations Management (ITOM). In this role, you’ll represent the HPE CloudOps Software Suite—bringing together HPE OpsRamp for intelligent monitoring and AIOps with HPE Morpheus for hybrid cloud management, self-service, and automation. This is a role for a strategic seller who enjoys complex deals, value-driven conversations, and helping customers modernize how they run IT at the intersection of AI, automation, and hybrid cloud. As a key member of the CloudOps go-to-market team, you’ll lead major pursuits and act as a trusted advisor to our customers, helping them transform IT operations with an integrated platform that unifies hybrid cloud management, monitoring, event correlation, service mapping, and end-to-end automation. Key Responsibilities - Own and drive full-cycle enterprise sales for the HPE CloudOps Suite, from pipeline creation through close, across HPE OpsRamp and HPE Morpheus. - Engage and influence C-level stakeholders (CIO, VP of IT Ops, Head of Infrastructure), linking CloudOps capabilities to strategic initiatives and operational KPIs. - Use your domain expertise to uncover new revenue, grow existing accounts, and clearly differentiate the CloudOps Suite against observability, AIOps, ITOM, and CMP competitors. - Work with Account Executives to build and execute account plans for key enterprise segments, named accounts, and priority verticals. - Stay on top of competitive moves, new technologies, and transformation trends so you can credibly position OpsRamp and Morpheus across hybrid cloud and multi-vendor environments. - Help shape territory and product strategy, bringing customer and market insight into pipeline targets, quota plans, and GTM execution. - Build strong relationships with GSIs, MSPs, and channel partners to expand reach and deliver complete CloudOps solutions. - Lead services-led motions when needed to support platform adoption, accelerate time to value, and secure high-value renewals. - Act as a subject matter expert, improving sales playbooks, enablement, and processes, and mentoring peers across the team. - Be the internal advocate for the customer, ensuring the platform evolves in step with how enterprise IT and platform engineering teams actually operate. Qualifications - Bachelor’s degree required; advanced degrees or relevant technical certifications are a plus. - 8+ years of enterprise software sales experience, with at least 3 years focused on SaaS Observability, AIOps, ITOM, or Cloud Management Platform solutions. - Consistent history of meeting or beating $1M+ annual quotas in complex, multi-stakeholder enterprise environments. - Proven ability to run outcome-based, consultative sales cycles with executive-level buyers (CIO, VP Infrastructure, Head of IT Ops). - Ideal candidates will live within the greater Chicago, Minneapolis, or Kansas City region and have the ability to visit accounts within that region on a regular basis. - Ability to travel up to 75% within the Central Region. Additional Skills - Accountability - Active Learning - Active Listening - Assertiveness - Building Rapport - Coaching - Complex Sales - Creativity - Critical Thinking - Cross-Functional Teamwork - Customer Experience Strategy - Empathy - Financial Acumen - Growth Mindset - Identifying Sales Opportunities - Industry Knowledge - Intellectual Curiosity - Long Term Planning - Managing Ambiguity Benefits - Health & Wellbeing: A comprehensive suite of benefits that supports physical, financial, and emotional wellbeing. - Personal & Professional Development: Programs catered to helping you reach any career goals you have. - Unconditional Inclusion: A commitment to inclusivity and flexibility in managing work and personal needs.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior AWS Platform Engineer / AWS AI Infrastructure Engineer to design, deploy, and support scalable, secure cloud platforms on AWS. The ideal candidate will have hands-on experience with AWS AI services (Bedrock, SageMaker), containerized deployments (ECS, EKS, Fargate), and AWS infrastructure management in production environments. This role will focus on hosting and managing MCP servers, enforcing security best practices, automating cloud operations, and supporting platform reliability. You will collaborate closely with application, DevOps, and engineering teams to ensure high availability, performance, and compliance across AWS environments. - Design, host, manage, and support AWS-based AI and application infrastructure in production environments. - Architect and manage MCP Servers hosted on AWS, ensuring scalability, availability, and security. - Deploy and manage containerized workloads using Docker on ECS, EKS, and Fargate. - Support and administer core AWS infrastructure including EC2, networking, and security configurations. - Work with AWS AI services, including Amazon Bedrock and Amazon SageMaker, to support AI/ML workloads. - Manage and support AWS databases (both managed and self-hosted) for application and AI use cases. - Implement and maintain DevOps practices, CI/CD pipelines, and infrastructure automation in AWS. - Configure and manage API Gateway, including secure access, integrations, and authorization. - Ensure AWS environments follow best practices for security, IAM roles and policies, scalability, and reliability. - Monitor, troubleshoot, and resolve production issues across AWS platforms. - Provide AWS platform administration and ongoing support. - Document system architectures, deployment processes, runbooks, and operational procedures. Qualifications - 5-7 years of hands-on AWS experience with medium-level depth across core services. - Strong familiarity with AWS AI Infrastructure, including Amazon Bedrock and SageMaker. - Proven experience designing and managing MCP Servers in AWS. - Hands-on experience with Docker-based deployments using ECS, EKS, and Fargate. - Solid experience with AWS EC2 configuration, hardening, and security. - Experience working with AWS databases (RDS, DynamoDB, Aurora, or hosted databases on EC2). - Strong understanding of AWS IAM, security protocols, roles, policies, and access controls. - Experience configuring and securing API Gateway access. - Hands-on experience with DevOps practices, automation, and CI/CD pipelines in AWS. - Experience providing AWS platform administration and production support. - Familiarity with monitoring, logging, and alerting using AWS-native tools. - Ability to work collaboratively with application, DevOps, and platform teams. Requirements - Location: Remote - Duration: 12 months with high possibility of extension. - Pay Rate: $65 on W2 and $70 on C2C. - Docs required: ID proof will be required. - Location: New Jersey, New Jersey (Remote) - Employment Type: Contractor - Minimum Experience: Experienced

• Support, monitor, and maintain AWS cloud environments • Assist with provisioning, configuration, and troubleshooting of AWS resources • Utilize infrastructure as code for configuration management • Support on-prem infrastructure including: • Virtualization platforms • Storage and file sharing systems • Assist with Linux server administration and basic system maintenance • Help bridge on-prem and cloud environments where needed • Troubleshoot infrastructure and environment-related issues impacting developers • Assist with deployment failures, CI/CD issues, and runtime environment problems • Help diagnose application performance or connectivity issues in collaboration with developers • Use Python and scripting tools to debug, automate, and improve operational workflows • Support and troubleshoot end user workstations and laptops • Assist with: • Operating system configuration, updates, and system troubleshooting • Integration of workstations with internal systems, cloud services, and shared resources • Act as a technical escalation point for more complex workstation issues (not a ticket-only helpdesk role) • Communicate clearly and effectively with technical and non-technical stakeholders • Document processes, changes, and troubleshooting steps • Work collaboratively within a team environment while being comfortable operating independently