Staff Platform Engineer

Job Description

Job Description

ComResource is looking for a Staff Platform Engineer.

Responsibilities:

Platform Engineering & Platform Capabilities

• Define the strategic direction and roadmap for platform engineering capabilities.
• Lead architecture and design of enterprise platforms, products, and shared services.
• Establish platform standards, reference architectures, and reusable patterns.
• Drive platform modernization and cloud-native adoption.
• Oversee reusable APIs, SDKs, frameworks, and self-service capabilities.
• Align platform investments with business goals to improve scalability and developer productivity.

Intelligent Automation & AI-Enabled Engineering

• Define enterprise automation strategies that accelerate the AI-Driven Development Lifecycle.
• Lead development of intelligent automation platforms, AI-powered capabilities, and autonomous workflows.
• Establish standards and governance for automation-first engineering practices.
• Drive adoption of AI agents and agentic workflows across engineering organizations.
• Partner with engineering and architecture leaders to scale automation enterprise-wide.

AI Engineering & Agent Platforms

• Define the vision for AI-enabled engineering platforms and agent ecosystems.
• Lead adoption of LLMs, agent orchestration frameworks, MCP, RAG, and emerging AI technologies.
• Establish standards and patterns for scalable AI-powered solutions.
• Evaluate emerging technologies and provide strategic recommendations.
• Guide intelligent developer experiences and autonomous engineering capabilities.

Developer Experience & Self-Service Engineering

• Define and drive the vision for developer experience across engineering platforms.
• Lead design of self-service ecosystems that improve speed, consistency, and autonomy.
• Establish standards for onboarding, development, testing, deployment, and support.
• Sponsor reusable accelerators, templates, and platform capabilities.
• Champion a developer-first culture across engineering organizations.

Platform Operations, Reliability & Delivery Enablement

• Define strategies for platform reliability, resilience, scalability, and performance.
• Lead delivery enablement, CI/CD platforms, observability, and operational intelligence capabilities.
• Establish standards for IaC, deployment automation, and cloud operations.
• Drive monitoring, anomaly detection, automated remediation, and intelligent workflows.

Security, Governance & Engineering Controls

• Define platform-wide governance, security, compliance, and risk management strategies.
• Establish enterprise guardrails, policy frameworks, and secure-by-design principles.
• Drive automated compliance, governance, and security capabilities across platform ecosystems.
• Partner with security, risk, architecture, and compliance stakeholders.

Essentials:

• Bachelor's degree in Information Technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics, or a related field, or equivalent work experience.
• 8–10 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related technical disciplines.
• Proven experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms.
• Demonstrated experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.
• Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.
• Must hold one of the following certifications: AWS Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader.

Desired:

• Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.
• Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.
• Relevant industry certifications in cloud platforms, DevOps, platform engineering, AI/ML, data engineering, or related technologies.

Req ID: AM82234099