Systems Reliability Engineer (SRE) in Embedded Finance

Toronto, ON
On-site
Posted Oct 9, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Own the reliability, resiliency, and availability of the Embedded Finance platform by building observability and alerting frameworks, defining service health measures, and leading incident response and root cause analysis. Develop automation to reduce operational toil and improve detection and resolution times while collaborating with engineering, product, and risk teams.

Job details

The candidates must have a strong experience with Splunk/Dynatrace at a minimum and they will be building Fiserv’s monitoring framework and alerting across the Embedded Finance platform candidate should have asked about Emfi they should aware about this. Position: Systems Reliability Engineer (SRE) in Embedded Finance Location: Alpharetta, GA (Onsite), Toronto, ON, Jacksonville, FL; Berkeley Heights, NJ Interview Mode: Final Interview Onsite What does a successful Systems Reliability Engineer (SRE) in Embedded Finance do on this project? We are seeking a Systems Reliability Engineer to join the Technical Operations team supporting our Embedded Finance (EmFi) platform. In this role, you will own the reliability and resiliency of a large-scale enterprise platform, ensuring that our services remain highly available, performant and secure. You will design and implement monitoring and alerting frameworks, lead incident response and drive the root cause analysis (RCA) process to continuously improve platform stability. This is an opportunity to be a Partner in Possibility - helping our clients deliver financial services experiences that are essential to everyday life. What you will do: · Own the reliability, resiliency and availability of the Embedded Finance platform, proactively identifying and mitigating risks to service continuity. · Design, implement and maintain comprehensive monitoring and alerting frameworks leveraging Splunk, Dynatrace, Grafana and Datadog to provide end-to-end observability across the platform. · Define and track service level objectives (SLOs), service level indicators (SLIs) and error budgets to measure and improve platform health. · Lead and participate in incident response, serving as a technical driver during remediation calls and coordinating with impacted and impacting technical and product teams. · Own and advance the root cause analysis (RCA) process — investigating incidents, documenting the sequence of events and remediating actions, and clearly identifying underlying root causes to prevent recurrence. · Ensure timely creation and management of incident tickets (e.g., ServiceNow) and accurate incident tracking, aging and reporting. · Build automation and tooling to reduce toil, improve mean time to detection (MTTD) and mean time to resolution (MTTR), and increase operational efficiency. · Collaborate with engineering, product and risk stakeholders to embed reliability best practices into the platform lifecycle. What you will need to have: · Hands-on experience with monitoring, observability and alerting tools, specifically Splunk, Dynatrace, Grafana and Datadog. · Proven experience operating and supporting a large-scale enterprise platform environment. · Demonstrated experience with incident response and leading or contributing to root cause analysis (RCA) processes. · Strong understanding of reliability engineering principles, including availability, resiliency, monitoring and alerting best practices. · Experience with ticketing and incident management workflows (e.g., ServiceNow). · Excellent communication skills, with the ability to drive remediation efforts and collaborate across technical, product and risk teams. What would be great to have: · Experience in financial services, payments or embedded finance environments. · Proficiency with scripting or programming languages for automation (e.g., Python, Go, Bash). · Familiarity with cloud platforms, containerization and CI/CD pipelines. · Experience defining and managing SLOs, SLIs and error budgets

What you’ll do

Requirements

Candidates need hands-on experience with Splunk, Dynatrace, Grafana, and Datadog, along with experience supporting large-scale enterprise platforms and handling incident response and root cause analysis. Strong reliability engineering knowledge, incident management experience, and communication skills are required; financial services experience, automation programming, cloud, containers, CI/CD, and SLO/SLI experience are preferred.