Platform Consultant — Cyber Platforms, Data, & Tooling

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description This role sits within Allstate Cyber Operations & Platforms as part of a set of Digital Product Teams responsible for building and operating a cohesive, scalable Security Operations platform ecosystem. This ecosystem spans: Agentic Cyber Platforms (ACP): Operationalizing AI as a core cyber capability through shared platforms, orchestration patterns, and governance-by-design. Security Data & Observability (SD&O): Engineering and managing the Security Operations Data Plane, enabling high-fidelity telemetry, analytics, and AI-ready data. Tooling & Platform (T&P): Ensuring security tooling is integrated, governed, and aligned as part of a unified platform rather than disconnected solutions. Together, these capabilities enable secure, scalable, and intelligence-driven cyber operations by design. The Platform Consultant defines and drives architecture patterns, integration standards, and ecosystem strategy across AI platforms, security data, and tooling. This role ensures the environment evolves as a coherent, reusable, and governed platform ecosystem, enabling safe, scalable adoption through well-defined 'paved roads.' You will translate operational intent into enterprise-scale platform design, ensuring interoperability between AI systems, data platforms, and tooling while minimizing fragmentation and maximizing reuse. Key Responsibilities Platform Architecture & Standards Define architecture, design patterns, and integration standards across AI, data, and tooling. Establish APIs, data models, security controls, and observability requirements. Data & AI Enablement Ensure high-quality, structured data for AI (lineage, consistency, readiness). Set standards for safe AI use (explainability, auditability, controlled actions). Tooling & Integration Design unified integration across tools and platforms. Ensure tools produce consistent, high-quality, AI-ready data. Paved Roads & Adoption Build scalable, reusable solutions as the default ('paved roads'). Drive standardization, reduce duplication, and guide adoption. Strategy & Decision-Making Lead build vs. buy vs. integrate decisions. Ensure solutions are scalable, secure, and governance-driven. Cross-Functional Leadership Partner across teams (ACP, SD&O, T&P) for platform alignment. Influence teams to drive simplification, reuse, and consistency. Essential Criteria A minimum of 5 years software engineering experience in at least 3 programming paradigms to include: a) Object-oriented (Java & JavaScript required and at least one other language) b) Procedural / systems (e.g. Go, Rust, C) c) Functional (e.g. F#, Elixir, Clojure, Haskell) Experience using modern development tools (e.g., IntelliJ or VS Code, Git/GitHub, Spring Boot) and designing robust RESTful APIs A minimum of 3 years hands on expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance Demonstrated success as a high impact technical advisor to multiple engineering teams, with proven ability to influence architecture direction and mentor engineers in best practices with proven leadership responsibilities. Expert level knowledge of Agile/XP and DevOps methodologies, including paired programming, test driven development (TDD), and CI/CD automation, with a track record of using these practices to accelerate delivery and improve quality Desirable Criteria Experience with agentic AI platforms, governance, an