• Solve complex challenges as a trusted technical lead. • Drive a DevOps mindset and collaboration within the Cloud Platform Engineering Team. • Develop and enhance cloud reference architectures and guide teams on implementation. • Participate in architectural decisions, improve CI/CD pipelines, and build secure, high-performing, resilient, and efficient cloud infrastructure. • Collaborate with cross-functional teams to streamline delivery processes, enhance services, and provide a seamless experience through self-service and modern approaches. • Mentor and lead team members to achieve excellence in industry best practices. • Lead code and design reviews for high-quality deliverables. • Help plan and coordinate day-to-day team activities using Scrum methodologies, including monitoring and triaging work, defining and tracking KPIs, facilitating team discussions and demos, and removing impediments. • Stay up to date with the latest cloud technologies and trends.

Role Description SOSi is seeking a Cloud Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. - The contractor shall design, deploy, and maintain secure cloud environments in AWS and Azure, ensuring compliance with DoD cloud security frameworks and best practices. - The contractor shall configure identity and access management (IAM) solutions, enforce role-based access controls (RBAC), and manage cloud security groups and firewalls. - The contractor shall optimize cloud networking configurations, including VPC peering, VPNs, and cross-domain connectivity to ensure secure and efficient cloud operations. - The contractor shall support the development of Infrastructure-as-Code (IaC) solutions using Terraform, CloudFormation, or ARM templates to automate secure cloud deployments. - The contractor shall contribute to the Cloud Security & Performance Optimization Report, detailing cloud security configurations, resource utilization efficiencies, and compliance measures. - The contractor shall track and report Kubernetes and other workload-specific cloud resource usage by Work Order, using GovCloud-native observability tools (e.g., Azure Monitor, AWS CloudWatch, Cost Explorer). - The contractor shall coordinate with other Work Order contractors (e.g., WO-003) to reconcile prepay or reservation usage against actual consumption and provide monthly reports on compute and storage allocation, tagging compliance, and projected costs. - The contractor shall advise the Government on workload placement and optimization strategies across IL2, IL4, and IL5 environments to reduce cost while maintaining performance and security compliance. - The contractor shall provision and maintain IL2, IL4, and IL5 GovCloud infrastructure using native Azure and/or AWS tools where feasible. - The contractor shall implement cloud-native services for monitoring (e.g., CloudWatch, Azure Monitor), cost tracking, and compliance automation to support scalability, security, and chargeback alignment. - The contractor shall provision infrastructure in coordination with other Work Orders. - The contractor shall provision and manage shared container environments and storage for dependent Work Orders, ensuring secure, efficient resource allocation and cross-Work Order operability. Qualifications - Knowledge and capability to design, deploy, and maintain GovCloud-based infrastructures across AWS and Azure, ensuring high availability, scalability, and security for mission-critical applications. - Required expertise includes cloud architecture, networking, virtualization, containerization, and security best practices, with proficiency in Infrastructure-as-Code (IaC) solutions such as Terraform or AWS CloudFormation. - Personnel must have experience in hybrid and multi-cloud configurations, including Virtual Private Cloud (VPC) peering, identity management (IAM), and cross-domain solutions. - Strong expertise in the Authority to Operate (ATO) process is required, including preparing security documentation, conducting compliance assessments, and maintaining continuous monitoring per DoD Risk Management Framework (RMF), NIST 800-53 Rev. 5, FedRAMP, and DoD IL-4/IL-5 security mandates. - Personnel must also optimize cloud resources for compute, storage, and networking efficiency while ensuring full compliance with DoD governance policies. - Bachelor’s degree in Computer Science, Information Systems, or a related field, or five (5) years of equivalent experience in cloud engineering. - Personnel must have experience designing, deploying, and managing AWS and Azure cloud environments with a focus on security, automation, and scalability. - Required expertise includes Identity and Access Management (IAM), role-based access control (RBAC), Zero Trust Architecture (ZTA), and cloud networking configurations such as VPC peering, subnets, VPNs, and security groups. - Personnel must demonstrate proficiency in Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or ARM templates, ensuring secure and scalable deployments. - Experience supporting Authority to Operate (ATO) processes is required, including preparing System Security Plans (SSP), Security Assessment Reports (SAR), and Plans of Action & Milestones (POA&M), and maintaining compliance with DoD governance frameworks and NIST requirements. - Personnel must also collaborate with cybersecurity teams to implement security controls in accordance with FedRAMP, RMF, and DoD IL-4/IL-5 security mandates, while optimizing cloud resource allocation for efficiency. Preferred Qualifications - Preferred certifications include AWS Certified Solutions Architect – Associate, Microsoft Certified: Azure Solutions Architect Expert, and Google Professional Cloud Architect. Work Environment - Offsite/Remote. Clearance Requirement - None Compensation - USD 86568 - USD 179795 yearly

• Own and achieve a revenue-based sales quota by driving new business acquisition, partner expansion, and recurring revenue growth across the assigned VCSP territory. • Recruit, onboard, and develop new Cloud, Hosting, Managed Service, and Service Provider partners into the Veeam Cloud & Service Provider Program. • Grow strategic partner relationships by identifying new business opportunities, expanding Veeam solution adoption, and increasing cloud service consumption. • Build and execute comprehensive partner business plans covering sales, marketing, enablement, go-to-market initiatives, financial objectives, and growth strategies. • Collaborate with Systems Engineers and regional sales teams to qualify opportunities, deliver technical presentations, and successfully close complex sales engagements. • Engage executive stakeholders to develop trusted advisor relationships and position Veeam as the strategic platform for data resilience and cloud services. • Drive partner enablement by helping providers build differentiated Veeam-powered service offerings that deliver business value to their customers. • Maintain an accurate sales pipeline, forecast, and account activity within Salesforce CRM. • Represent Veeam at partner meetings, executive briefings, regional events, and industry conferences, serving as a trusted advisor and VCSP subject matter expert. • Work cross-functionally with Sales, Channel, Marketing, Product, and Customer Success teams to accelerate partner success and revenue growth.

• Define and maintain enterprise cloud architecture across Azure environments, establishing standards for networking, security, IAM, and resource organisation. • Evaluate and guide platform strategy across Azure, Snowflake, Databricks, and related tooling. • Establish architectural principles for AI-enabled applications, ensuring systems are API-driven, modular, and scalable. • Identify architectural constraints that limit autonomous/agent workflows and create reference patterns for AI-to-production transitions. • Guide the evolution of CI/CD pipelines, including potential GitHub Enterprise migration, ensuring deployment patterns are scalable, secure, and repeatable. • Define application architecture standards (front-end, APIs, services) and implement lightweight governance for AI-generated code before production. • Quantify and manage technical debt across systems, reducing key-person dependencies in infrastructure design.