5+ years in SRE, Infra, or Platform Engineering roles
Strong experience with cloud platforms (AWS/GCP/Azure/OCI)
Hands-on with Kubernetes and distributed systems
Experience in on-call rotation and incident management
Proficient in at least one programming language (Go, Python, Java)
Responsibilities
Ensure reliability and performance of Plaud.ai's AI products at scale
Design and operate highly available, scalable cloud-native systems for AI workloads
Own production reliability, incident response, and on-call practices
Build observability (metrics, logs, tracing) and reliability automation
Define and manage SLOs, SLIs, and error budgets with engineering teams
Drive postmortems and reliability improvements across the platform
Lead incident response and continuous reliability improvement
Benefits
Employee Stock Ownership Plan (ESOP) for meaningful ownership
Fast-moving, product-driven environment with impactful ideas
Top-tier medical, dental, and vision insurance with employer subsidy
Unlimited PTO, 13 paid holidays, and 12 weeks of fully paid parental leave
Hybrid work model with a minimum of three in-office days per week
Access to cutting-edge AI tools for productivity
Choice of top-spec laptops and high-performance workstation setups
Annual company offsites and a culture valuing craftsmanship and ownership
Full Job Description
What you will do
Ensure reliability and performance of Plaud.ai's AI products at scale
Design and operate highly available, scalable cloud-native systems for AI workloads
Own production reliability, incident response, and on-call practices
Build observability (metrics, logs, tracing) and reliability automation
Define and manage SLOs, SLIs, and error budgets with engineering teams
Drive postmortems and reliability improvements across the platform
Lead incident response and continuous reliability improvement
Partner with product and engineering teams on reliability design
Improve observability and operational maturity
Minimum Qualifications
5+ years in SRE, Infra, or Platform Engineering roles
Strong experience with cloud platforms (AWS/GCP/Azure/OCI)
Hands-on with Kubernetes and distributed systems
Experience in on-call rotation and incident management
Proficient in at least one programming language (Go, Python, Java)
Preferred Qualifications
Experience supporting AI/ML or data-intensive platforms
Experience of GPU cluster management
Knowledge of SLO/SLA frameworks
Experience in fast-growing or global products
Exposure to multi-region systems
Strong written and verbal communication
What we offer
Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud's long-term success.
High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
Comprehensive Health & Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
Time Off & Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.
