NorthMark Strategies
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Recently posted jobs
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Owns daily SOC 2 Type II and ISO 27001 compliance activities, including internal audits, readiness assessments, control mapping, evidence collection, external audit coordination, remediation tracking, and third-party risk assessments. Administers the GRC platform, automates evidence collection, maintains control libraries, prepares executive compliance reporting, and trains control owners across technical and business teams. The role also supports customer security questionnaires and communicates audit findings to technical and non-technical stakeholders.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Leads accounting across a multi-entity, international oil and gas portfolio. Owns close, consolidations, reconciliations, internal controls, US GAAP and IFRS reporting, audits, payment controls, non-operated revenue and joint-venture accounting, international consolidations, and accounting systems. Manages and mentors a five-person team while optimizing Quorum ODA, automating workflows with AI, supporting budgeting and forecasting, and coordinating with treasury, operations, auditors, and foreign advisors.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Executes end-to-end sourcing events for indirect services, including requirements gathering, RFPs, bid evaluation, supplier selection, negotiations, and award recommendations. Conducts spend analysis, market research, benchmarking, and cost modeling to support category strategy. Maintains supplier and contract records, tracks renewals, coordinates legal and risk reviews, supports stakeholders, and ensures procurement compliance. The role also contributes to process improvements and supplier performance reporting.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead design and operation of platform vulnerability management and real-time threat detection across bare-metal, containers, and cloud. Integrate security into CI/CD and IaC, run triage/prioritization, automate posture assessment, conduct platform security assessments, and collaborate with engineering to drive remediation and hardening.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead budgeting, forecasting, and variance analysis for assigned entities; build and maintain 3-statement financial models; create executive reports and dashboards; partner with business leaders; apply AI and automation to finance workflows; manage CPM/ERP planning (OneStream/Adaptive/Dynamics); collaborate with Accounting on month-end close and GL integrity; drive process improvement and support strategic planning and financial analyses.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
The job posting provides no specific responsibilities or technical requirements beyond the Senior Cloud Platform Engineer title. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. The role includes comprehensive employer-paid benefits, paid time off, parental leave, retirement matching, and lunch benefits.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design, implement, and maintain network security architecture for hyperscale HPC and cloud environments. Lead detection and response for network threats, integrate controls across on-prem and cloud, support segmentation and Zero Trust, evaluate security tech, mentor junior engineers, and document policies and standards.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Leads global procurement strategy for HR, professional services, and facilities categories. Manages Category Managers, develops supplier architectures, directs complex global sourcing and negotiations, enables regional procurement teams, and oversees strategic supplier relationships. Partners with senior stakeholders on demand management, risk, compliance, responsible sourcing, and value delivery. Requires substantial indirect-services procurement experience, global operating-model expertise, executive presence, analytical rigor, and willingness to travel internationally up to 10%.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Leads enterprise cyber defense across NorthMark Strategies and its portfolio, overseeing security monitoring, detection engineering, incident response, threat intelligence, threat hunting, and digital forensics. Builds AI-enabled and agentic security operations with human oversight, governs and secures AI platforms, directs SIEM/SOAR strategy, ensures regulatory alignment, manages major incidents, and develops high-performing global teams.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Leads company-wide strategy and operations planning, including three-year plans, annual operating plans, monthly business reviews, OKR cascades, board and investor materials, and governance rhythms. Partners with the COO, executives, and Finance/FP&A to align strategy, budgets, metrics, and business performance. Manages and develops a team of Strategy & Operations professionals, improves planning processes, maintains the business model and process repository, and supports culture and value-driver initiatives.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Designs, deploys, and maintains enterprise infrastructure across servers, storage, virtualization, cloud, and domain services. Leads infrastructure projects, complex incident resolution, disaster recovery, automation, infrastructure-as-code, security integration, documentation, and on-call support. Serves as a senior technical authority, mentors engineers, contributes to technology strategy, and collaborates with technical and business stakeholders.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Leads and matures the organization’s digital forensics and incident response program across multiple entities. Responsibilities include maintaining response plans, conducting host, network, cloud, mobile, memory, and Microsoft 365 investigations, managing evidence and legal hold processes, serving as incident commander, running tabletop exercises, integrating threat intelligence and automation, and building a DFIR team. The role also oversees forensic tooling, reporting, regulatory and litigation readiness, cross-functional coordination, and operational metrics.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Leads and matures the enterprise digital forensics and incident response program across multiple operating entities. Responsibilities include maintaining response plans, conducting host, network, cloud, mobile, memory, and Microsoft 365 investigations, managing evidence and legal hold processes, leading major incident response, running tabletop exercises, integrating threat intelligence and automation, and building a DFIR team. The manager also oversees forensic tooling, reporting, compliance support, stakeholder engagement, and operational readiness.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Supports AI-enabled automations, integrations, prompt and workflow design, and Claude Enterprise administration while assisting with SharePoint Online and NetDocuments administration. Responsibilities include provisioning, permissions, governance, documentation, Microsoft 365 support, scripting, Power Automate flows, and tier-1/tier-2 issue resolution. The role is designed for an early-career professional with 0–2 years of experience and offers development toward AI engineering or platform administration.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Serve as the primary technical advisor for strategic HPC and cloud customers. Design, deploy, optimize, and scale AI/ML and scientific workloads; troubleshoot complex infrastructure challenges; support sales presentations and demos; relay customer feedback to product teams; negotiate solutions; and develop technical documentation and reference architectures.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design, deploy, operate, and optimize multi-petabyte high-performance storage systems supporting HPC research workloads. Implement infrastructure-as-code automation, troubleshoot storage workflows, advise researchers and software engineers on optimal storage usage, and collaborate with networking teams and vendors. The role requires expertise in clustered filesystems, scale-out storage architectures, file, block, and object storage technologies, plus Python or DevOps experience.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Designs and integrates large-scale HPC and AI infrastructure across compute, storage, networking, Kubernetes, automation, and data center teams. Leads architecture reviews, identifies dependencies and scalability risks, defines system-level specifications, evaluates resiliency and operational readiness, and resolves cross-team integration issues. The role influences platform standards, guides architectural tradeoffs, collaborates with vendors and engineering leads, and improves deployment consistency and lifecycle management.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Designs and maintains Python-based automation frameworks for global data center network provisioning and lifecycle management. Builds APIs, infrastructure-as-code workflows, CI/CD integrations, observability tooling, and self-service networking capabilities using Ansible, Terraform, and Jinja2. Collaborates with network, platform, and security teams, contributes to architecture, supports production reliability, and participates in on-call incident response.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Designs, deploys, and optimizes high-performance networking architectures for HPC, AI/ML, and data-intensive workloads. Advises customers throughout solution lifecycles, leads proof-of-concepts and benchmarking, tunes network performance, and integrates compute, storage, orchestration, and security layers. The role develops observability frameworks, collaborates with engineering and vendors, influences product roadmaps, and presents architectures to technical and executive stakeholders.
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own the architecture and reference designs for HPC data center backbones, WAN connectivity, cloud interconnects, and customer peering. Define standards for routing, traffic engineering, failover, telemetry, security, observability, and multi-tenant isolation. Align network capacity and topology with business growth, workload patterns, and SLA requirements. The role requires advanced data center fabric, peering, hyperscale, cloud, and HPC networking expertise, along with strong documentation, stakeholder communication, leadership, and project management skills.



