Senior Software Engineer
Role details
Job location
Tech stack
Job description
- Contribute to system design and implement approved architecture and design patterns to ensure scalable and efficient Identity Platform solutions
- Build and operate cloud-native, containerized identity services with strong focus on scalability, resiliency, and operational excellence
- Ensure all solutions comply with enterprise IT principles, security standards, and healthcare regulations (HIPAA, TEFCA, CMS Interoperability)
- Apply security controls directly within application code and service design through secure coding, threat modeling, and defense-in-depth practices
- Participate in intake discussions, solution design, and support estimation activities for identity platform enhancements
- Own the design and implementation of complex features from requirements through development, testing, deployment, and production support
- Collaborate with solution engineering, development teams, partners, and vendors to maintain a coherent and consistent approach to design, implementation, and integration
- Contribute to logging, monitoring, alerting, and operational dashboards to ensure reliability, performance, and security of identity services in production
- Provide hands-on technical guidance, including reference implementations, reusable design patterns, and best-practice guidelines
- Integrate AI and ML capabilities into identity workflows for adaptive authentication, fraud detection, and risk-based access control
- Design and implement AI-driven security analytics to detect anomalies, predict threats, and automate incident response in large-scale environments
- Research and adopt proactive AI-based security strategies, such as anomaly detection, threat modeling, and autonomous policy enforcement
- Incorporate conversational AI and NLU into identity platforms for guided user experiences, troubleshooting, and self-service authentication flows
- Adhere to established AI governance, security, and compliance standards
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's degree in CS or IT related field
- 6+ years of hands-on technical experience in implementing secure enterprise applications using any one of cloud technologies like Azure, AWS or GCP
- 5+ years of experience with programming languages, frameworks like Java and Springboot. BuildingRESTful Web Services and Microservices
- 5+ years of experience with identity protocols (OAuth2, OIDC, SAML)
- 5+ years of experience with security data platforms (Splunk, ELK) for monitoring, troubleshooting and security analysis
- 4+ years of hands-on experience with threat modeling, vulnerability remediation, and infrastructure/application security
- 3+ years of experience with React for frontend development of user or admin-facing applications
- 3+ years of experience with Identity federation, Single Sign-On, RBAC, ABAC, MFA, RBA
- 3+ years of relevant experience in Identity & Access Management and Information and application Security
- 3+ years of hands-on working experience with SailPoint, ForgeRock, Ping, Okta, OneLogin, Azure AD or similar IAM products
Preferred Qualifications:
- Hands-on experience with security management of virtual machines, containers, and applications
- Knowledge of SANS Top 20 Critical Security Controls and OWASP Top 10 vulnerabilities
- Working knowledge of Scripting languages (Python and PowerShell)
- Solid working knowledge of Web Application Firewalls, HTTP(s), TCP/UDP, SSL/TLS, Forward and reverse proxies, Load balancers
- Good understanding of the web application architectures, TCP/IP networking, cloud computing and data integrity and confidentiality including cryptographic techniques
- Familiarity with ML frameworks (TensorFlow, PyTorch) and AI services (Azure AI, AWS SageMaker)
- Exposure to Site Reliability Engineering concepts and production support practices
- Interest or exposure to advanced identity risk and anomaly detection concepts
- Proven solid communication skills and presentation skills, mentoring skills, problem solving and analytical skills
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.