
501 - 1000 employees
Founded 1987
☁️ SaaS
🤖 Artificial Intelligence
💳 Fintech
💰 Private equity on 2015-10
SaaS • Artificial Intelligence • Fintech
Trintech is a software company that provides an AI-driven financial close and reconciliation platform. Its suite (including Transaction Matching, Reconciliation, Journal Entry, Close Task Management, Embedded AI, and Agentic AI) automates transaction matching, account and operational reconciliations, intercompany close, journal entry management, audit & compliance, consolidation, and reporting/analytics. Trintech markets purpose-built and agentic AI that predicts, decides, and executes close-related work to reduce manual effort and risk; it integrates with major ERPs (SAP, Oracle, NetSuite, Microsoft Dynamics, Workday, etc. ) and serves mid- to large-enterprise finance teams and CFO/CAO/Controller personas. The platform emphasizes governed autonomous finance, outcomes like faster closes and stronger controls, and measurable results for global finance and accounting teams.
🔥 2 minutes ago
Where this job comes from
Posted on Trintech's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

501 - 1000 employees
Founded 1987
☁️ SaaS
🤖 Artificial Intelligence
💳 Fintech
💰 Private equity on 2015-10
SaaS • Artificial Intelligence • Fintech
Trintech is a software company that provides an AI-driven financial close and reconciliation platform. Its suite (including Transaction Matching, Reconciliation, Journal Entry, Close Task Management, Embedded AI, and Agentic AI) automates transaction matching, account and operational reconciliations, intercompany close, journal entry management, audit & compliance, consolidation, and reporting/analytics. Trintech markets purpose-built and agentic AI that predicts, decides, and executes close-related work to reduce manual effort and risk; it integrates with major ERPs (SAP, Oracle, NetSuite, Microsoft Dynamics, Workday, etc. ) and serves mid- to large-enterprise finance teams and CFO/CAO/Controller personas. The platform emphasizes governed autonomous finance, outcomes like faster closes and stronger controls, and measurable results for global finance and accounting teams.
• Own the integrated reliability engineering plan across services, regions and workstreams, with clear technical priorities and accountable follow-through. • Strengthen the SRE team's effectiveness through practical direction, better operational tools, sustainable response practices and verified engineering outcomes. • Build a prioritised reliability roadmap from customer impact, incident recurrence, service risk and operational effort, agreeing delivery capacity with the SRE manager. • Lead adoption of meaningful service indicators, objectives and error-budget decisions with product and service owners, establishing ownership and review practices. • Coordinate alert improvements across Grafana, Prometheus, Datadog, Sumo Logic and PagerDuty, addressing duplication, missing coverage, routing and diagnostic context. • Lead technical response to complex incidents and strengthen regional handovers, escalation readiness and blameless reviews; verify completion of consequential follow-ups. • Direct and contribute to automation that removes repeated operational work, with code review, testing, bounded permissions and safe recovery behaviour. • Coordinate readiness, capacity and recovery work across application, data, infrastructure and Platform Engineering teams, resolving dependencies and technical blockers. • Review high-risk changes and remain hands-on through diagnosis, prototypes and targeted implementation where direct involvement improves the outcome. • Report customer impact, reliability trends, repeat failures, alert quality and engineering progress; raise gaps in capacity or ownership with clear recommendations. • Set technical priorities and guide Senior and Principal contributors, agreeing resource commitments with their managers and retaining clear service ownership. • Partner with the SRE manager on on-call readiness and protected engineering capacity; provide coaching and technical input into development and recruitment. • Make delivery and recovery decisions within agreed authority, escalating business-risk acceptance, funding and organisation-wide architecture choices to accountable owners.
• A record of leading reliability improvements across multiple production services and teams, with evidence of sustained outcomes after delivery. • Strong practical judgement across Kubernetes, Linux, application behaviour, networks, storage and hybrid infrastructure, with the ability to involve specialists effectively. • Hands-on depth in monitoring, PromQL, log analysis and alert design, including the ability to distinguish telemetry faults from service failures. • Experience leading significant incidents, improving on-call practices and driving corrective actions through to verified resolution. • Credible software and automation skills, including reviewing and implementing maintainable, tested operational tooling and controlled changes. • Ability to coordinate dependencies, mentor technical leaders and negotiate delivery priorities and reliability trade-offs without relying on line-management authority. • Experience with OKD/OpenShift, Azure, VMware, Windows, Datadog, Sumo Logic, PagerDuty, Terraform, SaltStack, Azure DevOps or Argo CD. • Experience supporting distributed teams and SaaS services with database, integration, batch-processing or customer-facing financial-workflow dependencies.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.
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