[Hiring] Software Engineer - Product Security @Allstate

Role Description

The Product Security Engineering organization is responsible for designing, building, and operating enterprise security controls as software products. The group applies modern software engineering practices to create scalable, reliable, and developer-friendly security capabilities that are embedded directly into the enterprise technology ecosystem, enabling secure by default behaviors while minimizing friction for product and platform teams.

Product Security Engineers are software engineers who own the full software development lifecycle — from design and implementation through deployment and production support. They write and maintain production code, operate their services in real-world environments, and are accountable for the reliability, adoption, and effectiveness of the security controls they deliver. Success in this role is measured through outcomes such as control adoption, system reliability, and meaningful reduction of security risk.

Key Responsibilities

• Design, build, and operate enterprise security controls as software products that integrate directly into the SDLC and core enterprise platforms.
• Own security control capabilities end-to-end, including architecture, implementation, deployment, and ongoing operational support in production.
• Write, test, and maintain high-quality production code while meeting delivery and reliability expectations as a software engineer.
• Apply engineering best practices such as test-driven development, paired programming, and continuous integration and deployment.
• Contribute to high-level and low-level system and component designs with a focus on scalability, reliability, and security outcomes.
• Continuously evaluate and adopt new technologies, frameworks, and patterns to improve the effectiveness and usability of security controls.
• Collaborate closely with product managers, platform teams, and partner engineering groups to align security control capabilities with enterprise needs.
• Participate in agile delivery ceremonies and contribute to a culture of fast feedback, incremental delivery, and continuous improvement.

Qualifications

• 3+ years of software engineering experience, with demonstrated ownership of production systems throughout the full software development lifecycle.
• Proficiency in one or more modern programming languages (e.g., Java, JavaScript).
• Hands-on experience designing, building, and operating scalable distributed systems and cloud-based applications, including microservices architectures.
• Demonstrated ability to design, develop, and integrate APIs and backend services, including REST-based interfaces.
• Familiarity with modern development workflows and engineering practices such as test-driven development, paired programming, and continuous integration and deployment.
• Experience collaborating effectively within agile delivery models, working closely with product managers, engineers, and partner teams to deliver outcomes.

Requirements

• Minimum of 1 year demonstrated experience coaching or mentoring engineers, with evidence of improving individual or team technical capability over time (for Lead and Expert Levels).
• Proven ability to lead technical design and architecture decisions for complex, distributed systems, resulting in measurable improvements to scalability, security, reliability, or performance (for Lead and Expert Levels).
• Track record of driving cross-team collaboration to deliver integrated solutions, achieving alignment across multiple product portfolios and stakeholder groups (for Lead and Expert Levels).

Desirable Skills

• Working knowledge of application and API security concepts, including common vulnerability classes (e.g., OWASP Top 10) and attack techniques (e.g., MITRE ATT&CK).
• Experience implementing or integrating security mechanisms such as authentication, authorization, and identity-based access controls within applications and services.
• Knowledgeable in secure software development practices and techniques, including behavior-driven development or security-focused testing patterns.
• Practical exposure to containerized and cloud-native environments, including Docker, Kubernetes, and public cloud platforms such as AWS and/or Azure.
• Exposure to large language models (LLMs), machine learning concepts, or systems that incorporate AI-driven capabilities.
• Ability to leverage AI-assisted development tools (e.g., Copilot, Cursor) responsibly to improve developer productivity and code quality.
• Demonstrated commitment to building solutions that balance robust security guarantees with an excellent developer experience, without compromising one for the other.

Compensation

Compensation offered for this role ranges from $90,700 - 195,700 annually and is based on experience and qualifications.