Infrastructure & Platform Engineering — P7
INFRAS.INFRASTR5562.P7
Infrastructure & Platform Engineering: designs, builds, and operates the underlying cloud infrastructure (AWS/Azure landing zones, VPC networking, virtualization) and internal developer platforms (self-service IDPs) that software teams build on. Distinct from the sibling SRE focus (which centers on reliability SLOs, on-call rotations, and incident response as its primary mandate) and from a pure DevOps tooling focus — this focus owns the platform-as-product surface (Terraform/CloudFormation modules, Kubernetes clusters, CI/CD foundations) and the coherent architecture into which dozens of services fit.
Infrastructure & Platform Engineering: designs, builds, and operates the underlying cloud infrastructure (AWS/Azure landing zones, VPC networking, virtualization) and internal developer platforms (self-service IDPs) that software teams build on. Distinct from the sibling SRE focus (which centers on reliability SLOs, on-call rotations, and incident response as its primary mandate) and from a pure DevOps tooling focus — this focus owns the platform-as-product surface (Terraform/CloudFormation modules, Kubernetes clusters, CI/CD foundations) and the coherent architecture into which dozens of services fit.
Focus — Infrastructure & Platform Engineering
Infrastructure & Platform Engineering: designs, builds, and operates the underlying cloud infrastructure (AWS/Azure landing zones, VPC networking, virtualization) and internal developer platforms (self-service IDPs) that software teams build on. Distinct from the sibling SRE focus (which centers on reliability SLOs, on-call rotations, and incident response as its primary mandate) and from a pure DevOps tooling focus — this focus owns the platform-as-product surface (Terraform/CloudFormation modules, Kubernetes clusters, CI/CD foundations) and the coherent architecture into which dozens of services fit.
Material SKILL differential vs the function baseline.
Responsibilities by level
What this person actually does at each level on the professional track — escalating scope, not one generic blob. Your level is highlighted.
- Assists senior engineers in building and maintaining platform infrastructure on well-defined, scoped tasks
- Monitors systems using observability tools (Datadog, Grafana, CloudWatch, Sentry) and escalates anomalies under guidance
- Executes routine cluster hygiene and workload onboarding tasks following documented runbooks
- Writes simple automation scripts in Bash, PowerShell, or Python to handle repetitive operational tasks
- Troubleshoots defined issues under close supervision and documents resolution steps
- Designs, builds, and maintains platform infrastructure components within an agreed architecture (authoring Terraform/CloudFormation modules, structuring CI/CD workflows)
- Builds and maintains CI/CD pipelines using Jenkins and provisions infrastructure using Ansible to streamline deployment
- Implements automation, monitoring, and scaling for assigned systems with general instruction, including basic VPC/networking and virtualization (VMware, Hyper-V) configuration
- Collaborates with development and operations teams to onboard workloads onto Kubernetes/EKS clusters
- Makes bounded implementation decisions within established patterns and escalates ambiguity
- Independently designs and delivers platform features and services within a team, planning own work to milestone reviews
- Evaluates tools, runs proof-of-concepts, and provides technical justification (influence-only on budget and vendor selection)
- Solves diverse infrastructure problems across IaaS and PaaS (AWS, Azure), weighing identifiable trade-offs in cost, reliability, networking, and security
- Mentors junior engineers and coordinates project activities across the platform team
- Improves automation and observability (Datadog, ELK, Grafana) and scripts tooling in Python, Go, or Bash to proactively identify and resolve issues
- Leads the design and implementation of complex platform solutions spanning multiple systems, selecting methods and patterns
- Drives automation and process improvements across the organization and sets technical standards for the team
- Plays a key role in cross-team architectural decisions and leads incident response coordination and on-call escalation practices
- Conducts in-depth analysis of complex variables (multi-cluster scaling, networking protocols and hardware, security posture and compliance) to ensure scalability, reliability, and security
- Mentors mid-level engineers and may lead project teams toward defined platform outcomes
- Designs and implements robust, scalable platform architecture using microservices and cloud technologies across cross-team boundaries
- Leads development and execution of platform strategies improving availability, efficiency, and security across multiple services
- Collaborates with product managers and engineering leaders to define platform requirements aligned with business objectives
- Acts independently on broad, ambiguous platform assignments, defining standards for IaC, container orchestration, and observability adopted by multiple teams
- Builds self-service internal developer platforms that reduce friction for software teams and embeds security/compliance guardrails into the platform
- Owns the technical direction of how dozens of services fit into a coherent platform architecture
- Carries budget conversations and owns vendor relationships (Datadog, HashiCorp)
- Holds a charter covering multiple platform teams, setting long-term technical roadmap and resource planning approach
- Provides high-level mentorship to senior engineers and shapes architectural decisions across the organization
- Influences systems and standards spanning 10 to 30+ teams through influence-without-authority
- Sets platform technical strategy that impacts company-wide engineering capability and anticipates emerging infrastructure challenges (multi-cloud, regulatory shifts)
- Develops new platform models and reference architectures for precedent-free, ambiguous problems with broad business consequences
- Networks with executives, boards, regulators, vendors, and industry leaders, persuading senior stakeholders on platform priorities and advancing practices beyond the company
- Defines long-term platform roadmaps and architectural direction across the entire engineering organization
- Provides high-level mentorship to principal and senior engineers, shaping company-wide platform capability without direct reports
Level guidelines
The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.
| Level | Knowledge & Application | Complexity & Problem Solving | Collaboration & Interaction | Typical Degree & Years |
|---|---|---|---|---|
| P1 | Applies foundational familiarity with cloud platforms (AWS core services), scripting (Bash, PowerShell, Python), and observability tooling to routine, well-defined tasks under detailed instruction. | Addresses routine problems with standard answers — cluster hygiene, basic troubleshooting, simple automation — following runbooks. | Maintains stable internal relationships, working closely with and reporting to senior engineers. | 0–1 years; new graduate or intern. |
| P2 | Applies working knowledge of IaC (Terraform, CloudFormation, Ansible), CI/CD (Jenkins), container orchestration (Kubernetes, Docker), and virtualization (VMware, Hyper-V) to conventional platform tasks. | Exercises moderate judgment in familiar contexts, making bounded implementation decisions within an agreed architecture. | Builds productive project relationships with development and operations teams; may mentor junior staff. | 2+ years with BA, or MS/PhD with no experience. |
| P3 | Applies broad infrastructure knowledge across IaaS/PaaS (AWS, Azure), networking, and scripting (Python, Go, Bash), evaluating tools and running POCs with technical justification. | Evaluates identifiable factors across diverse problems in cost, reliability, networking, and security with day-to-day independence. | Networks with senior professionals; coordinates project activities and mentors juniors. | 5+ years (BA), 3 years (MA), or PhD without experience. |
| P4 | Applies in-depth platform expertise across cloud, networking protocols/hardware, virtualization, security/compliance, and automation to complex, multi-system issues with functional impact. | Performs in-depth analysis of complex variables, selecting methods for multi-cluster scaling, security posture, and incident response. | Coordinates across engineering groups, leads incident response, influences architectural decisions, and may supervise or lead project teams. | 8+ years, often with graduate education. |
| P5 | Applies expert mastery of microservices, cloud architecture, and platform-as-product to strategic, cross-team initiatives that contribute to company objectives. | Resolves intangibles and broad/special assignments with high independence, defining platform strategies and standards for availability, efficiency, and security adopted across multiple teams. | Builds influential internal networks across product and engineering leadership; may supervise others on special tasks. | 12+ years, extensive platform expertise. |
| P6 | Applies field-shaping platform expertise to organization-wide architecture spanning dozens of services and multiple teams, owning vendor and budget decisions. | Provides visionary problem-solving with full independence, owning long-term technical roadmap and coherent architecture across 10 to 30+ teams. | Influences the organization and peer professionals as a recognized thought leader; carries vendor relationships (Datadog, HashiCorp). | 15+ years; principal platform expert, often PhD plus industry leadership. |
| P7 | Develops new platform models, reference architectures, and technologies that advance company-wide engineering capability and influence industry practice. | Solves ambiguous, precedent-free problems (multi-cloud strategy, organization-wide tooling standards) with broad business and industry consequences; anticipates emerging challenges. | Networks with executives, boards, regulators, and industry leaders; persuades and educates senior stakeholders on strategic platform priorities. | 20+ years, or equivalent recognition (often PhD plus significant industry contributions, patents, or publications). |
Skills
Focus-specific skills the role applies — the relevance layer beyond the occupational base.
- Cloud platforms
- Familiarity with cloud platforms, particularly AWS core services (VPC, RDS, S3, IAM, EKS, EC2, CloudWatch) and Azure, and ability to work with both IaaS and PaaS solutions for deploying, scaling, and maintaining cloud-based applications.
- Infrastructure as Code (IaC)
- Expertise in tools such as Terraform or CloudFormation to deploy and manage infrastructure as code.
- Container orchestration
- Managing containerized applications with Kubernetes and Docker; container orchestration platforms have become standard for platform engineering.
- CI/CD
- Building and maintaining CI/CD pipelines to streamline deployment processes using tools like Jenkins.
- Scripting/programming
- Experience in languages like Python, Java, C++, Go, Bash, or PowerShell to script automations, build applications, and debug complex systems.
- Observability
- Using tools like Datadog, Grafana, ELK, or Sentry to monitor system performance and proactively identify and troubleshoot issues.
- Networking
- Strong knowledge of networking protocols and hardware such as switches, routers, and firewalls.
- Virtualization
- Experience with virtualization technologies such as VMware and Hyper-V.
- Security and compliance
- Understanding security posture and compliance as integral to the role, since misconfigurations can expose organizations to breaches and regulatory penalties.
- Platform as product / product thinking
- The ability to build self-service internal developer platforms that reduce friction for software teams.
- Configuration management (Ansible)
- Uses Ansible to automate the execution of repetitive system administration tasks such as provisioning and deployment.
- Vendor and budget management
- Carries budget conversations and owns vendor relationships (e.g., Datadog, HashiCorp) at the principal level, justifying tooling spend against platform outcomes.
Provenance
The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).
Level — P7 — Staff / Distinguished Professional
Staff-level individual contributor: owns architecture across systems, sets technical direction, and multiplies the output of multiple teams without managing people.
- Scope
- Cross-organization / enterprise technical strategy
- Autonomy
- Operates autonomously at the enterprise level
- Complexity
- Industry-level, highly ambiguous problems
- Impact
- Enterprise-wide
- Decision rights
- Final technical authority across multiple domains
- Leadership
- Sets technical direction org-wide; develops principals
- Typical experience
- 15–22 yrs
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
Title aliasesshow ▾
No title aliases recorded for this profile yet.
Classification mappingsshow ▾
O*NET / SOC
- code=15-1244source=jfm-factory.resolve