Miovision - Director, Developer Operations & Experience

• Operational Excellence & Reliability • Own platform and infrastructure uptime; establish SLOs and reliability governance. • Drive DORA metric improvements. • Standardize incident response and operational maturity. • Ensure secure, compliant, and auditable production operations. • Own production system health and availability with Engineering/Architecture. • Establish a service maturity model (reliability, security, observability, CI/CD, AI-readiness). • Enforce secure coding standards and Quality Gates across all repositories. • Lead DevOps → Developer Experience Transformation • Evolve DevOps to a modern, platform-engineered, AI-enabled Developer Experience organization, while maintaining reliability and security accountability. • Shift focus to enabling all contributors (including QA, solution engineering) as builders. • Introduce platform-as-product operating models with roadmaps, feedback, and metrics. • Accelerate Onboarding, Wayfinding, and Productivity • Radically reduce developer/contributor onboarding time. • Improve wayfinding via standards, templates, and conventions. • Standardize repository structure and build/deploy patterns for AI workflows, security, and predictability. • Embed AI Across the SDLC • Drive AI adoption across engineering roles. • Design AI-driven capabilities: automated code review, test generation, incident analysis, anomaly detection, and remediation. • Translate emerging agentic tooling into internal capabilities. • Ensure AI and agent-driven workflows operate within secure, monitored, and policy-bound environments. • Embed guardrails to protect proprietary code, customer data, and infrastructure secrets. • Own CI/CD, Cloud Foundations, and Observability • Own CI/CD platforms, deployment automation, and infrastructure-as-code standards. • Define and enforce reliability and quality while enforcing container hardening, image provenance validation, and runtime protections. • Standardize on-call models, incident response, escalation, and post-incident learning. • Automate runbooks and operational workflows. • Partner on AWS usage, cloud patterns, cost efficiency, and observability standards. • Own platform reliability, performance, cost governance, and operability templates. • Ideal Profile: • 10+ years of experience in Developer Operations, Developer Experience, Platform Engineering, or related domains. • Prior experience leading DevOps and/or Developer Experience teams. • Strong background in cloud platforms (AWS) and cloud-native architecture. • Deep understanding of CI/CD, GitOps, and infrastructure-as-code. • Hands-on experience with container platforms (Kubernetes, Docker). • Experience scaling DevOps / Platform Engineering across multi-team, multi-product environments. • Strong systems thinking and architectural judgment. • Excellent communication, collaboration, and coaching skills. • Experience operating mission-critical production systems. • Technical Knowledge: • AWS (compute, networking, storage, identity) • Kubernetes, Docker • Observability stacks (Datadog, OpenTelemetry, Grafana) • Software development in one or more of Java, Python, Node • Familiarity with Snowflake and modern data pipelines • AI-assisted development tools and emerging agentic frameworks • This posting is for an actual vacancy. • Your Rewards & Well-being:We invest in our team with benefits designed for modern life and true work-life balance.