Senior Director, Developer Platforms
Confirmed live in the last 24 hours
Cox Enterprises
Compensation
$197,600 - $329,400/year
Job Description
Company
Cox Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary in the range of $197,600.00 - $329,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description
ROLE OVERVIEW
Cox Automotive is one of the largest technology service providers in the automotive industry, supporting thousands of workloads and hundreds of engineering and product teams across a portfolio of market-leading brands. The Sr Director, Developer Platforms owns the end-to-end product engineering toolchain that makes all of that possible—from AI-native development tools and the core engineering ecosystem, to the engineering data plane, operational monitoring tooling, and the secure cloud landing zone on AWS. This leader is at the center of the software engineering transformation: as AI-assisted and agentic development tools fundamentally change how software is built, the Developer Platforms team sets the direction for how Cox Automotive engineers and product builders harness that shift, creating the paved roads and optimized environments that let hundreds of teams ship great software quickly and confidently.
KEY RESPONSIBILITIES
Strategic Leadership
Partner with senior Engineering and Product leaders across Cox Automotive's business units to deeply understand the Developer experience and continuously reduce the friction that slow teams down
Partner with Architecture, Engineering, and Product leaders to define and execute the multi-year Developer Platforms strategy, stewarding the vision for Cox Automotive's internal developer platform and the end-to-end Developer experience across discovery, development, delivery, and operations
Lead Cox Automotive's transformation toward AI-assisted and agentic engineering—moving beyond individual developer tooling to optimizing the entire engineering environment for how autonomous agents and humans work together to build software
Establish the "paved road" philosophy: create opinionated, well-lit paths and self-service capabilities that let hundreds of teams move fast without re-inventing foundational infrastructure or tooling
Own the strategy for AI-native development tools including coding assistants, agentic development platforms, and enterprise MCP infrastructure—ensuring Cox Automotive engineers have access to best-in-class AI capabilities and that those tools are deeply integrated into the Developer environment
Drive the roadmap for the engineering data plane—giving engineering and product leadership meaningful visibility into the health and quality of workloads across the enterprise
Represent Developer Platforms as a strategic enterprise capability to executive stakeholders, translating platform investment into measurable outcomes in developer productivity, quality, and speed to market
Operational Excellence
Ensure availability, reliability, and performance commitments are met across the full Developer Platforms toolchain—including AI development tools, engineering ecosystem (GitHub, Artifactory, CI/CD), engineering data plane, operational observability (Splunk, New Relic, PagerDuty), and the AWS cloud landing zone
Establish and track key performance indicators spanning developer satisfaction, platform adoption, deployment frequency, onboarding time, mean time to recovery, and agentic environment readiness metrics
Drive continuous improvement in platform efficiency and cost optimization across cloud infrastructure, toolchain operations, and vendor-managed services
Oversee security and compliance posture of the engineering toolchain, including the secure AWS landing zone, in partnership with Enterprise Security
Lead incident response and problem management for critical platform events that impact engineering teams across the enterprise
Maintain robust feedback loops with internal customers—engineers, architects, product managers—to continuously measure and improve the Developer experience at scale
Organization Leadership
Lead a multi-disciplinary platform organization spanning AI-native developer tooling, core engineering ecosystem, engineering data plane, operational tooling, and secure cloud infrastructure
Build high-performing teams through strategic hiring, talent development, and succession planning across platform engineering and developer experience disciplines
Foster a culture rooted in developer empathy, platform thinking, continuous learning, and a bias for enabling others to go faster
Manage performance, compensation, and career development for direct reports; develop the next generation of platform engineering leaders
Attract and retain top talent in the increasingly competitive platform engineering and developer experience space
Financial & Vendor Management
Own the Developer Platforms budget, driving cost optimization across cloud, tooling, and vendor services
Manage strategic vendor relationships across the core engineering toolchain and cloud ecosystem
Build clear business cases for platform investments tied to productivity, quality, and speed
Enforce cost discipline through consolidation, automation, and toolchain rationalization
REQUIRED QUALIFICATIONS
12+ years in software engineering or platform engineering, with 5+ years in senior leadership roles running platform or developer experience functions at enterprise scale
Deep, hands-on familiarity with the modern engineering toolchain: source control and developer workflows (GitHub or equivalent), artifact management (Artifactory or equivalent), CI/CD pipeline platforms, and container/Kubernetes runtime environments
Proven track record building or scaling an Internal Developer Platform (IDP) or developer experience function, including self-service capabilities, golden paths, and developer portals
Demonstrated experience leading operational observability and monitoring toolchains—including log aggregation, APM, and incident management platforms—at large scale
Hands-on experience with cloud infrastructure and secure cloud landing zone design, preferably on AWS, including infrastructure-as-code practices (Terraform or equivalent)
Experience implementing AI-augmented developer capabilities—including AI coding assistants, agentic development workflows, or LLM-integrated toolchain automation—and a clear vision for where this space is heading
Strong understanding of modern software delivery practices: DevOps, GitOps, feature flagging, progressive delivery, and observability-driven development
Ability to lead through influence across a large, matrixed enterprise with hundreds of engineering teams
Track record translating platform strategy into business value narratives for executive audiences
Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
PREFERRED QUALIFICATIONS
Experience optimizing engineering environments for agentic AI workflows—understanding how autonomous coding agents interact with source control, pipelines, test frameworks, and deployment infrastructure
Background implementing enterprise developer portals and IDP frameworks (Backstage, Port, or equivalent), including integration with engineering data and metrics
Familiarity with enterprise MCP (Model Context Protocol) ecosystems and AI-native toolchain architectures
Experience applying developer experience measurement frameworks including DORA metrics, SPACE framework, and developer satisfaction surveys at enterprise scale
Background in automotive, retail, or other complex multi-business-unit enterprises serving a large internal engineering customer base
Experience leading engineering data and observability strategy—including engineering insights platforms, workload health dashboards, and developer productivity analytics
Relevant certifications in cloud (AWS), platform tooling (GitHub, HashiCorp), or DevOps practices
SUCCESS IN FIRST 12 MONTHS
Develop and gain alignment on a unified Developer Platforms strategy and roadmap that connects AI-native tooling, the core engineering ecosystem, the engineering data plane, operational tooling, and secure cloud infrastructure into a coherent vision for the Developer experience
Deliver measurable advances in Cox Automotive's agentic engineering readiness—including expanded rollout of AI coding assistants, a defined strategy for optimizing the environment for agentic workflows, and enterprise MCP infrastructure availability
Establish a baseline set of Developer experience metrics (developer satisfaction, deployment frequency, platform onboarding time, DORA metrics) and publish the first enterprise-wide engineering productivity report
Launch or substantially mature the internal developer portal as the self-service starting point for engineering and product teams across the enterprise
Demonstrate progress toward measurable "paved road" adoption—reduce the time and friction for teams to onboard to standard tooling, CI/CD patterns, and cloud infrastructure
Maintain or improve SLA commitments and operational reliability across the full Developer Platforms toolchain through organizational transition
Establish trusted, collaborative relationships with peer Sr Directors, business unit engineering leaders, and senior product stakeholders across Cox Automotive
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