• Build, maintain, and scale production-ready cloud infrastructure across AWS and Kubernetes. • Support the development of machine learning pipelines and a full data lake architecture. • Improve build automation processes and help move the team from continuous integration to continuous delivery. • Secure, scale, and operate Kafka clusters on Kubernetes. • Partner with Engineering and Security teams to improve infrastructure reliability, security, and compliance. • Develop dashboards, alerts, internal tools, and response processes to identify and address security and reliability risks. • Improve logging, monitoring, and observability across production systems. • Support containerized application deployments using Docker and Kubernetes. • Help evaluate and adopt new tools that improve developer productivity, system reliability, and infrastructure scalability.

• Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code) • Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements • Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org • Reduce friction for engineers adopting these tools while maintaining security and auditability • Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows • Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need • Define where IaaS’s responsibility ends and consuming teams’ begins • Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained • Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits • Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org • Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment • Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows) • Build visibility into AI/ML infrastructure costs and implement controls consistent with how compute costs are managed elsewhere • Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns

• Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code) • Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements • Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org • Reduce friction for engineers adopting these tools while maintaining security and auditability • Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows • Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need • Define where IaaS’s responsibility ends and consuming teams’ begins – this boundary doesn’t exist yet; you’ll help draw it • Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained • Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits • Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org • Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment • Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows) • Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scaling policies, idle resource cleanup) consistent with how compute costs are managed elsewhere • Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns

Role Description Apex is seeking a bold, growth-driven National Service Line Leader – Infrastructure to build and execute a national infrastructure strategy that accelerates our expansion in: - Water and wastewater infrastructure - Civil/site engineering - Transportation engineering services This role is designed for a strategic leader who can: - Unify and amplify existing teams - Identify and scale high-potential disciplines and geographies - Drive an aggressive growth agenda through modern delivery models This position will sit at the intersection of: - Strategy - Growth - Operations - Talent - Innovation Partnering closely with Regional Business Unit P&L Leaders and Growth teams to strengthen collaboration across markets, unlock capacity, increase win rates, expand key accounts, and create repeatable delivery excellence at scale. Qualifications - Bachelor’s degree in Civil Engineering, Environmental Engineering, or a related discipline. - 15+ years of experience in infrastructure engineering/consulting. - 10+ years in leadership roles with national or multi-region responsibility. Requirements - Develop and execute a national infrastructure strategy aligned with Apex’s commercial objectives and long-range growth plans. - Identify priority geographic expansion targets, disciplines, and service offerings across water/wastewater, civil/site, and transportation. - Implement a multi-year roadmap covering market segmentation, target client profiles, pursuit strategy, delivery capacity, hiring plans, and investment priorities. - Establish scalable go-to-market strategy and repeatable playbooks for key infrastructure pursuits and programs. - Lead national business development efforts across public and private infrastructure markets. - Oversee growth plans to improve win rates and contract quality. - Partner with Growth leaders, Principals, Program Managers, and marketing teams to drive cross-sell opportunities. - Design and deploy communities of practice that unify technical standards, mentorship, knowledge sharing, and consistent QA/QC across regions. Benefits - Company-subsidized medical and dental. - Company-paid life, short, and long-term disability. - 401k match, tuition assistance, and more. - Cross-training and the ability to work on a variety of projects. - Performance-based bonuses or other incentives. - Working with the best and brightest in the industry. - 2,000+ employee national firm with 70+ locations across the US.