1 day ago
Responsibilities
- Set and own software architecture direction for high-traffic, high-volume production platforms.
- Lead architecture reviews, maintain durable architecture decision records, and establish design patterns, service standards, and reference implementations.
- Drive security by design, reliability and performance engineering, observability, capacity planning, resilience, incident recovery, and release safety.
- Partner on CI/CD, infrastructure as code, automated testing, progressive delivery, and infrastructure standards.
- Lead architectural diagnosis and remediation for major production incidents and manage technical debt and modernization roadmaps.
- Guide build-versus-buy, platform selection, cloud cost optimization, AI architecture, open-source model adoption, and research and development investment decisions.
- Lead and develop a small architecture team while influencing engineering, product, security, operations, and executive stakeholders.
- Connect technical decisions to business outcomes including cost, speed, risk, and customer experience.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field, or an equivalent combination of education and relevant industry work experience.
- 15 or more years of software engineering and architecture experience, including seven or more years architecting systems at production scale.
- Hands-on experience building and operating high-traffic, high-volume production systems, including diagnosing and remediating architecture that constrained the business.
- Deep practitioner-level DevOps and delivery engineering experience, including CI/CD, infrastructure as code, automation, and release engineering.
- Experience with security by design, threat modeling, secure development lifecycles, identity and access patterns, encryption, and secrets management.
- Experience owning reliability and performance for mission-critical services and leading recovery from significant production failures.
- Expertise in distributed, service-oriented, event-driven, API-first, cloud-native, containerized, and orchestrated architectures.
- Knowledge of AI and machine learning architecture, including model serving, retrieval patterns, agent guardrails, and open-source model evaluation.
- Experience with legacy modernization, monolith decomposition, incremental migration, strangler patterns, and engineering cost efficiency.
- Experience leading architects or senior engineers, including direct people leadership of a small team, and influencing senior stakeholders without formal authority.
- Preferred qualifications include a master’s degree, consumer-scale technology experience, AI model adoption and research investment experience, measurable reliability or cost improvements, and experience maturing an architecture practice.
- Professional-level certification in AWS, Azure, or Google Cloud and a Kubernetes certification such as Certified Kubernetes Administrator are preferred.
Benefits
- The role is based in or near the San Francisco Bay Area, Sterling, Virginia, or Nashville, Tennessee, with those locations strongly preferred.
- Business travel of up to 25 percent annually is required, including occasional overnight travel.
Tech Stack
About Asurion
Asurion provides device insurance, extended warranty, repair, replacement, and 24/7 tech support for smartphones, consumer electronics, and home appliances, serving consumers via wireless carriers, retailers, OEMs, and more than 800 repair stores. Its business spans protection plans, tech support subscriptions, and in‑store, mail‑in, and on‑site repair services used by over 300 million customers worldwide. Founded in 1994 and headquartered in Nashville, it is privately held.