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Platform Consultant - Product Security

Location
Remote - Chicago
Work type
Full Time
Posted
2026-10-15

Job description

As a security-focused engineering leader, you will collaborate with teams from Security Operations to implement proactive defenses and risk mitigations, to consulting with data scientists to leverage analytics and AI for enhanced platform capabilities. This cross-functional engagement provides continuous opportunities to influence Allstates engineering community. You will mentor teams in modern engineering practices, champion system-wide best practices (such as Zero Trust architecture and reusable design), and drive the adoption of emerging technologies to improve reliability, performance, and efficiency.

Essential Skills:

Extensive experience (8+ years) in software engineering, platform development, or architecture roles, with increasing technical leadership responsibilities in complex enterprise environments

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

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

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

Broad technical proficiency across multiple programming languages and frameworks (especially Java and JavaScript ecosystems), and comfort with modern development tools (e.g., IntelliJ or VS Code, Git/GitHub, Spring Boot) and designing robust RESTful APIs

Exceptional analytical and problem-solving skills, combined with excellent communication abilities to clearly convey complex technical and security concepts to both engineering teams and senior business leaders

Desirable Skills:

In-depth knowledge of industry security frameworks and web/API security standards e.g., OWASP Top 10, MITRE ATT&CK, OAuth 2.0, OpenID Connect, SAML to guide secure design and development practices

Deep expertise in security architecture and secure-by-design practices, including advanced threat modeling, robust identity and access management (IAM) strategies, and Zero Trust architectures with a proven ability to embed these controls at all stages of the development lifecycle

Broad technical proficiency across multiple programming paradigms in addition to Java and JavaScript experience, deep experience with procedural (e.g., Go, Rust) and functional (e.g., F#, Elixir, Haskell, Clojure) programming languages is a strong signal of architectural proficiency

Technical proficiency with AI tools such as running local models, developing MCP servers, using AI powered development tools like cursor/copilot/claude code/codex/etc. to help drive your work more efficiently and test for effective model deployment strategies

Demonstrated expertise in API-first design and specification-driven development (e.g., OpenAPI, Swagger), enabling scalable, discoverable, and reusable services. Proven ability to shape developer experience and accelerate delivery through contract-first approaches, while laying the foundation for AI-assisted development and automated API governance

Deep understanding of modern cryptographic principles and protocols (e.g., AES, TLS, Argon2, elliptic curve cryptography), with the ability to evaluate, implement, and advise on secure data protection strategies. Skilled in applying cryptographic techniques to strengthen trust boundaries, safeguard sensitive data, and ensure compliance with enterprise and regulatory security standards

Experience with advanced development and testing practices, such as behavior-driven development (BDD) and integrating automated security checks into CI/CD pipelines

Familiarity with emerging technologies (e.g., AI/ML, knowledge graph solutions, advanced analytics) and their application to improve developer velocity, platform reliability, and security capabilities

Exposure to specialized security domains like AI Security, SaaS Security, and API Security, with an understanding of the unique challenges and tools in these areas

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