Developer Experience & Self-Service Engineering

Comresource, Inc.
Columbus, OH, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration Information Engineering DevOps Software Engineering Google Cloud Cloud Platform System
+6 more
Retrieval-Augmented Generation System Availability Large Language Models Agentic-AI Information Technology Deployment Automation

Job description

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.

Requirements

  • 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.

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Apply on www.juju.com
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