Senior SRE

Accelerant

Senior SRE driving reliability and observability across financial data platform at Accelerant. Partnering with engineering to enhance monitoring, metrics, and incident management processes.

Posted 7/16/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating reliable production systems, with a strong focus on observability, incident management, and automation. Proficient in defining and implementing SLIs, SLOs, and error budgets while translating technical metrics into business-level KPIs.

Highest-signal resume keywords

Reliability EngineeringObservability ToolingIncident ManagementData Platform OperationsAI Agent Development

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Applicant Tracking System Keywords

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Hard Skills

Reliability StrategySLIsSLOsError BudgetsIncident ManagementData PlatformsAutomationCapacity PlanningRoot-Cause InvestigationLog Analysis

Soft Skills

Strong CommunicationBias for ActionAutonomous Operation

Tools & Technologies

DatadogPrometheusGrafanaOpenTelemetryIncident.ioServiceNowSnowflakeMuleSoftCursorD365

Industry Keywords

Production SystemsEnterprise IntegrationObservabilityIncident ResponseOperational Metrics

Tech Stack

Tools & technologies

AWSGrafanaPrometheusServiceNow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

Competitive salary
Flexible working hours
Professional development budget
Home office setup allowance
Global team events