Softwareentwickler*in designing modern solutions for Doxis4 system, analyzing requirements and developing technical solutions using agile methods.
About the role
- Senior Software Engineer at Disney developing internal cybersecurity tools for compliance and risk modeling. Enhancing cybersecurity operations and providing technical guidance across teams.
Responsibilities
- Design and develop internal cybersecurity tools and services to support compliance, visibility and risk modeling functions.
- Build and maintain integrations between legacy, in-house, and cloud-based systems using APIs and SDKs.
- Implement and manage IaC frameworks to automate security configuration and auditing workflows.
- Collaborate with compliance teams to translate audit and control requirements (SOX, PCI, etc.) into code-based solutions and enhancements in existing applications.
- Contribute to data ingestion and analytics pipelines that improve visibility across cloud and on-prem environments.
- Develop AI/ML models to assist with automated risk categorization, configuration detection, or control validation.
- Work with DevOps and Security Engineering to maintain consistent RBAC, IAM, and policy enforcement across multi-cloud and Kubernetes environments.
- Build, document, and maintain runbooks specific to internal APIs, service architecture, and developed frameworks.
- Stay up to date on cybersecurity trends, industry standards (ISO, NIST, CIS), and regulatory requirements.
- Provide mentorship and technical guidance to engineers and analysts, ensuring secure design and operational excellence.
Requirements
- Minimum of 5 + years of experience in software development
- Experience with modern security tooling, DevSecOps, and AI/ML in cybersecurity
- Required Knowledge of: AWS: IAM, RBAC modeling, API and SDK-based resource discovery, Systems Manager (SSM)
- Git & GitHub: version control, branching strategies, and CI/CD pipelines
- Linux: security models, permissions, and bash scripting
- SQL: relational data modeling, queries, and integration with back-end systems
- Programming Languages: Python, C#, and/or Ruby
- Infrastructure as Code: Terraform
- Understanding of: Databases: user permission models for MSSQL, MySQL, PostgreSQL, Couchbase, and MemSQL
- Operating Environments: on-premises, cloud, and Kubernetes-based systems
- Identity Systems: Active Directory, LDAP, Okta; user lifecycle management and directory integrations
- Configuration & Deployment Tools: Helm and Salt
- Security Frameworks: developing control-based automation and integrating security telemetry into compliance and risk modeling functions
- Relevant security certifications such as OSCP, ISC2 CISSP, AWS Certified Security - Specialty, SANS, CEH, etc. are a major plus.
Benefits
- Health insurance
- Bonuses
- Long-term incentive units
- Medical benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Software Engineer developing software supporting integrated applications for Navy Combat Weapon System. Responsible for quality assurance, GUI development, and applying technical expertise in computer programming.
Java Developer for global air booking platform at Amex GBT, designing and developing software application components and improving microservice systems.
Software Engineer developing Java business applications at Broadridge. Responsible for software design, implementation, and technical leadership in a hybrid working environment.
Technical Lead managing modernization initiatives for Contact Centre technology at Canada Life. Building senior relationships to influence technology directions and drive performance standards.
Lead Software Engineer delivering high - impact software at Findigs, enhancing the renting process through innovative technology. Collaborate with teams and mentor engineers in a hybrid work environment.
Software Engineer focused on analysis and development of financial health applications for corporate clients. Engaging with users and collaborating on app design in an agile team environment.
Senior Engineer applying AI/ML methodologies for EV battery design at General Motors. Collaborating across engineering disciplines to enhance battery development processes.
Platform Engineer on GM’s Enterprise AI team, developing AI infrastructure and collaborating cross - functionally. Focused on high - performance systems and project initiatives in AI/ML.
Lead development of simulation frameworks and AI - driven knowledge management systems for General Motors. Architect multi - agent workflows and validate performance metrics in complex engineering environments.