Senior SRE
Accelerant4 months ago
Remote, United StatesSenior
Responsibilities
- Own the end-to-end reliability roadmap, including SLIs, SLOs, error budgets, observability pipelines, and investment priorities.
- Harden the financial data platform’s availability, performance, recoverability, deployment paths, straight-through processing, and failover.
- Instrument target systems using push and pull ingestion patterns and monitor both service health and business KPIs.
- Build on-call, alerting, severity, escalation, incident review, and blameless postmortem processes.
- Route alerts through Datadog and Incident.io with ServiceNow as the system of record.
- Develop automation, self-healing, data lineage, retention, capacity planning, and actionable reliability dashboards.
- Validate reliability at scale with 5,000+ transactions before go-live.
- Design and ship AI agents for incident triage, log analysis, and root-cause investigation using Cursor.
- Deploy and govern SRE agents on the organization’s internal AI fabric.
Requirements
- Proven experience designing, operating, and scaling reliable production systems.
- Deep hands-on experience with Datadog, Prometheus/Grafana, and OpenTelemetry, including push and pull ingestion patterns.
- Strong experience defining SLIs, SLOs, error budgets, and business-level KPIs.
- Experience operating Snowflake and Fabric data platforms, MuleSoft integration layers, and D365, including F&O and/or Power Apps.
- Hands-on incident management experience with Incident.io and ServiceNow, including on-call and postmortem practices.
- Hands-on experience building with LLMs and AI coding assistants, particularly Cursor; agent-building and deployment experience is a bonus.
- Ability to define and defend reliability strategy, targets, and operational metrics to engineering leadership and business stakeholders.
- Strong communication skills and the ability to explain technical failures and reliability risks to varied audiences.
- Ability to operate autonomously and take action in ambiguous, fast-changing environments.
- Experience in insurance, fintech, or regulated financial services is preferred.
- Familiarity with insurance and finance concepts, or willingness to learn them deeply, is preferred.
- Experience with Red Panda/Kafka streaming and event pipelines, data lineage, retention, and auditability is preferred.
- Working knowledge of chaos engineering, performance and load testing, and capacity planning is preferred.
- Experience deploying AI agents on an internal AI platform or fabric, including governance, evaluation harnesses, and prompt/version management, is preferred.
Tech Stack
Categories
Site Reliability
About Accelerant
Accelerant builds a data-driven risk exchange for specialty insurance, connecting MGAs and underwriters with aligned risk capital and software to run their programs. Its platform ingests and analyzes underwriting and claims data to support pricing, capacity allocation, and operations, and it partners closely with specialty underwriting teams. Founded in 2018 and headquartered in Atlanta, the company focuses on improving efficiency and profitability for program-based insurance businesses.