Seeking a Forward Deployment Engineer to bridge the gap between product engineering and business outcomes, designing and deploying scalable enterprise platforms.
Responsibilities
Develop custom software solutions to design, code, and enhance components across systems or applications
Use modern frameworks and agile practices to deliver scalable, high-performing solutions
Work directly with customers, stakeholders, and delivery teams to understand business challenges
Design innovative solutions and deploy enterprise platforms
Rapidly translate customer requirements into scalable products and capabilities
Lead technical design and implementation of cloud migrations and modernization programs for defense and Federal Civilian customers.
Compensation
US: Hiring Range in USD from: $102,300 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Translate agency mission, enterprise application, and security requirements into executable architectures and migration plans.
Provide technical direction across discovery, implementation, authorization support, cutover, and operational handoff.
Assess application portfolios, dependencies, data sensitivity, service requirements, and hosting constraints; recommend migration and modernization approaches.
Mentors teams and leads the architecture of highly scalable, interdependent distributed systems, identifying and removing performance bottlenecks for hyper‑scale workloads and designing elastic, high‑impact systems while advancing innovation in data plane platforms.
Compensation
US: Hiring Range in USD from: $146,300 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Mentor the team in architecture and design of highly scalable, interdependent distributed systems
Lead identification of performance and scalability bottlenecks and recommend solutions
Define system scalability requirements with stakeholders
Design fault‑tolerant, interdependent systems with redundancy, replication, and failover
The role involves architecting and scaling AI compute infrastructure components like GPU control plane and data plane to optimize customer experience and workload performance on hyper-scale AI clusters.
Compensation
US: Hiring Range in USD from: $146,300 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Architect solutions to scale and optimize AI compute infrastructure components like GPU control plane and GPU data plane.
Develop 'best-in-class' AI compute infrastructure for customers by ensuring services are well-defined, modularized, secure, reliable, diagnosable, actively monitored, compliant, and reusable.
Collaborate with cross-functional teams including development, operations, and product management.
Optimize and improve the software development process to improve developer efficiency.
Mentor junior developers and drive modern software engineering practices (telemetry-driven decisions, design reviews, coding standards).
Requirements
Computer Science
Engineering
Nice to have: Experience managing cloud infrastructure with hundreds of thousands of servers
Support and optimise Microsoft 365, Exchange Online and Exchange Hybrid environments, troubleshoot complex messaging, mail flow and platform issues, deliver mailbox migrations, tenant consolidations and modernisation projects, manage email security and compliance, support identity services, build and manage Azure infrastructure, automate tasks, implement monitoring and governance, support CI/CD and containers, provide third-line technical support and root-cause analysis.
Véritable référent technique, vous aurez pour mission de structurer et de faire évoluer notre expertise en cybersécurité, en particulier autour du Cloud Security, du Network Security et de l'automatisation des opérations SecOps.
Responsibilities
Être le référent technique de l'équipe SecOps et accompagner les consultants dans leur montée en compétences.
Définir les standards, architectures et bonnes pratiques de sécurité, tout en challengeant les choix technologiques sur AWS, Azure et Microsoft Security.
Intervenir sur les problématiques complexes, animer les revues techniques et assurer une veille technologique.
Porter la roadmap technique et industrialiser les processus d'onboarding, les contrôles de sécurité, le scoring et le reporting.
Développer les capacités de contrôle sur AWS, Azure et Microsoft 365.
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