Lead Software Engineer - Platform Identity

Responsibilities

• Design, build, and operate identity platform services and APIs from architecture through production.
• Improve application and platform reliability, stability, scalability, performance, and service levels using data-driven analysis.
• Define service level indicators, service level objectives, and error budgets with stakeholders.
• Build and maintain CI/CD, infrastructure-as-code, deployment, and automation tooling, including capacity, failover, and disaster recovery planning.
• Lead major-incident response, troubleshooting, post-incident analysis, and operational readiness for the application.
• Lead resiliency design reviews and technical initiatives across medium- to large-sized products.
• Apply approved AI capabilities to incident triage, code review, refactoring, testing, troubleshooting, and root-cause analysis while validating outputs and protecting sensitive data.
• Partner with security and platform teams to keep identity services secure, compliant, and well governed.
• Mentor engineers, provide technical guidance, and promote reuse of effective engineering and AI-assisted reliability practices.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Strong knowledge of reliability, scalability, performance, security, enterprise architecture, toil reduction, and site reliability practices.
• Production experience designing and building services and APIs with clean, maintainable code in at least one programming language such as Python, Java/Spring Boot, or Go.
• Proficiency with automation and infrastructure-as-code, including Terraform or a similar templating language.
• Experience using enterprise-authorized AI capabilities to improve SRE workflows and software development practices.
• Experience with observability, service-level-objective alerting, and telemetry collection such as CloudWatch, Prometheus, Grafana, or Tempo.
• Proficiency with continuous integration and continuous delivery practices and tooling.
• Experience troubleshooting common networking technologies and issues.
• Ability to establish team standards for validating AI-generated outputs for correctness, performance, security, and compliance.
• Preferred experience with authentication and federation protocols, IAM models, certificates and key rotation, directory services, federated cloud identity, PKI, x509, mTLS, regulated or highly available systems, disaster recovery, and multi-region resilience.
• Preferred proficiency with containers and Kubernetes.

Benefits

• Competitive total rewards package with benefits determined by eligibility; compensation details are provided during the hiring process.
• Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Equal opportunity employer with reasonable accommodation support and diversity and inclusion programs.