Where True Partnerships Exist
Senior SRE
Location
United States
Posted
7 days ago
Salary
0
Seniority
Senior
Job Description
Senior SRE
Accelerant
• Drive the reliability and observability initiative • Own the reliability roadmap end to end. • Prove a repeatable define → emit → ingest → dashboard → alert metric pipeline, set SLOs and error budgets, prioritize the work, and drive execution. • You'll partner with engineering on what we monitor, how, and when — indexing on user impact over low-level infrastructure. • Harden the foundational platform • Take the financial data platform from functional to enterprise-grade, with a focus on availability, performance, and recoverability. • Strengthen deployment paths, straight-through processing, and failover so the monthly close runs faster and cleaner as legacy hops are retired. • Expand observability breadth and depth • Extend instrumentation across the six target systems — Velocity, Red Panda, MuleSoft, Snowflake, Fabric, and AWS (with D365 ledger to follow) — proving both push (OpenTelemetry) and pull (agent) ingestion. • Cover service health (latency, error rates, throughput) and business KPIs (match rate, reconciliation completeness, settlement correctness and latency). • Implement a scalable incident and review process • Build the on-call, alerting, and blameless postmortem process that keeps reliability high as systems and the team grow. • Route alerts Datadog → Incident.io with ServiceNow as the system of record, and set severity standards, escalation norms, and follow-up tracking that actually closes the loop. • Scale automation, auditability, and reduce toil • Build the tooling that automates routine operations, self-heals common failures, and surfaces signal over noise. • Establish data lineage and retention, and validate reliability at scale — 5,000+ transactions before go-live — through auto-remediation, capacity planning, and actionable dashboards. • Build specialized SRE agents using Cursor AI • Design and ship AI agents for incident triage, log analysis, and root-cause investigation (to name a few). • Use Cursor as your build environment. • Treat the agents as products solving specific problems. • Host SRE agents on the AI fabric • Partner with the AI platform team to deploy your agents on the org's AI fabric. Make them discoverable, governed, and reusable across functions.
Job Requirements
- Proven experience designing, operating, and scaling reliable production systems.
- Deep hands-on expertise with modern observability tooling — Datadog, Prometheus/Grafana, and OpenTelemetry — including both push and pull ingestion patterns.
- Strong background defining SLIs, SLOs, and error budgets — and translating them into business-level KPIs, not just infrastructure metrics.
- Experience operating data platforms (Snowflake, Fabric) and enterprise integration layers (MuleSoft) alongside enterprise SaaS such as D365 (F&O and/or Power Apps).
- Hands-on incident management experience with tools like Incident.io and ServiceNow, and a track record of running effective on-call and postmortem practices.
- Hands-on experience building with LLMs and AI coding assistants — Cursor in particular. Bonus if you've built and deployed agents.
- Ability to define reliability strategy, reliability targets, and operational metrics — and defend them to engineering leadership and the business.
- Strong communication skills — you can explain a root cause to a junior engineer and a reliability risk to a product lead.
- Demonstrated bias for action and ability to operate autonomously in ambiguous, fast-changing environments.
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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