Responsibilities
- Build and operate the Site Reliability Engineering (SRE) practice.
- Write service level objectives (SLOs) and manage the on-call rotation.
- Lead incident response and produce postmortems for production incidents.
- Define production support structures, including severity tiers and SLA commitments.
- Set operational standards across engineering lanes, including sprint discipline and change management.
Requirements
- Ten or more years in engineering, with at least five years in SRE or platform operations.
- Experience in software companies selling into enterprise or regulated markets.
- Proven ability to manage multi-tenant and multi-deployment-model infrastructure.
- Experience writing and implementing SLOs.
- Ability to influence through process rather than direct management.
Benefits
- Competitive base salary and meaningful equity.
- Remote-friendly work arrangements for the right candidate.
- Strong preference for candidates located in Atlanta, GA.
Tech Stack
Categories
About Titan AI
Titan isn’t adapting AI to banking. We’re building AI that thinks like a bank. Titan delivers secured, explainable access to both general-purpose LLMs and its own proprietary banking-native AI models purpose-built for the operational, regulatory, and risk realities of financial services through one interface. Additionally, Titan offers Banking Agents that leverage its banking models to deliver industry-leading agentic outcomes. Designed from day one by former bankers, regulators, and AI engineers, our models embed domain expertise directly into their foundation, not as an afterthought. The results speak for themselves: - Blind tested against ChatGPT, Claude, and Gemini - and compliance officers preferred Titan's responses more than 70% of the time on average. - Significant outperformance on banking tasks over common general-purpose LLM - Other advantages related to our ontology, semantic layer, etc., have driven us to become the preferred AI platform for banking Unlike general-purpose LLMs, Titan’s models reason with banking logic, delivering exam-ready, explainable, and auditable outputs, even when data is incomplete or prompts are imperfect. Built on a proprietary banking ontology and evaluated using Titan’s Banker Trust Index (BTI), our models align with how institutions actually operate and how regulators assess decisions. This reduces risk, improves consistency, and increases trust across critical workflows.