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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Developer Experience & Self-Service Engineering - **Company:** Comresource, Inc. - **Location:** Columbus, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, Retrieval-Augmented Generation, System Availability, Large Language Models, Agentic-AI, Information Technology, Deployment Automation - **Published:** October 15, 2026 - **Apply:** https://www.juju.com/job/16_74a31f7d ## About the Role * 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. ## 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.