System Architecture & Technical Strategy

• Define and drive the long-term reliability and scalability strategy for the Adobe Pass platform, aligning with product and business goals.

• Architect large-scale, distributed, and multi-region systems designed for resiliency, observability, and self-healing.

• Anticipate systemic risks and design proactive mitigation strategies — ensuring zero single points of failure across critical services.

• Partner with software architecture and infrastructure teams to evolve the platform toward greater reliability, efficiency, and cost optimization.

Automation, Observability & Reliability Engineering

• Build and champion advanced automation frameworks that enable zero-touch operations across deployment, recovery, and scaling workflows.

• Introduce AI/ML-based predictive monitoring and anomaly detection systems to anticipate failures before they impact users.

• Lead organization-wide reliability initiatives — such as chaos engineering, error budgets, and SLO adoption — driving measurable reliability improvements.

• Continuously refine observability architecture (metrics, traces, logs) to ensure comprehensive, actionable insights into production health.

Incident Response & Operational Excellence

• Serve as a technical authority during high-impact incidents, guiding cross-functional teams through real-time mitigation and long-term prevention.

• Establish and enforce best-in-class incident management frameworks, improving MTTR, MTBF, and reducing incident recurrence rates.

• Lead blameless postmortems and translate findings into actionable reliability roadmaps.

• Drive reliability reviews and operational readiness assessments for all major product launches.

Performance, Scalability & Cost Efficiency

• Lead large-scale performance tuning and capacity engineering efforts, ensuring optimal resource utilization and cost efficiency across environments.

• Identify architectural bottlenecks, drive performance benchmarking, and influence platform evolution for better scalability and elasticity.

• Partner with FinOps and CloudOps to optimize spend while maintaining reliability SLAs and SLOs.

Cross-Team Leadership & Mentorship

• Mentor and coach SREs and software engineers, cultivating deep reliability-first thinking across teams.

• Serve as a thought leader in reliability engineering — driving best practices, evangelizing automation-first culture, and influencing technical standards across multiple teams.

• Collaborate with engineering leaders, PMs, and operations to align priorities, set strategic goals, and deliver on high-impact reliability initiatives.

• Lead technical deep dives and design reviews, ensuring all systems are built to scale securely and reliably.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 12+ years of experience in site reliability, production engineering, or large-scale distributed system operations.

• Proven track record of designing and managing highly available, globally distributed systems in cloud-native environments (AWS, Azure, GCP).

• Expert-level proficiency in one or more programming/scripting languages (Python, Go, Java, Bash) for automation and tooling.

• Deep understanding of Kubernetes, microservices, and service mesh architectures.

• Advanced experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD automation frameworks.

• Mastery in observability and monitoring stacks (Prometheus, Grafana, Datadog, OpenTelemetry).

• Strong expertise in networking, storage, and distributed databases (both SQL and NoSQL).

• Demonstrated ability to influence architectural decisions and drive reliability strategy across organizations.

• Exceptional communication, leadership, and stakeholder management skills.