JOB DESCRIPTION
Location: Hybrid (Downtown, Toronto)
Duration: 12 months
Our client, a leading financial institution in Downtown Toronto, is looking for a Jr. Full Stack Developer - Java, Splunk, Dynatrace to design and maintain end-to-end monitoring for critical services using Dynatrace (APM, Real User Monitoring, Synthetic, Davis AI, Smartscape) and GCP Cloud Monitoring (metrics, alerting policies, SLOs/SLIs, uptime checks, dashboards). The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.
Typical Day in role
- Build service maps, dependency models, and problem detection in Dynatrace; tune Davis AI problem rules and reduce alert noise through thresholds, baselining, and tagging.
- Implement SLOs/SLIs with error budgets; continuously review burn rates and align alerting to customer impact.
- Partner with application teams to instrument code paths (e.g., Dynatrace OneAgent), trace distributed transactions, and validate golden signals (latency, traffic, errors, saturation).
- Logging, Analytics & Insights (Splunk, Power BI)
- Create and optimize Splunk data models, indexes, sourcetypes, ingestion pipelines, and SPL searches; build actionable dashboards for NOC/SRE/Engineering.
- Develop operational analytics and executive reporting in Power BI (data modeling, DAX/Measures, scheduled refresh) to track reliability KPIs, incident trends, MTTR/MTTD, SLO compliance, and capacity signals.
- Establish governance for data quality, field extractions, and retention to ensure fast, accurate investigations.
- Incident Management & Problem Management
- Lead incident response (Sev1/Sev2): run bridges, coordinate SMEs, communicate status/timelines, drive mitigation and customer updates.
- Maintain runbooks, decision trees, and standard operating procedures; ensure blameless post-incident reviews (PIRs) with clear RCA, corrective actions, and preventative measures.
- Track and close problem tickets tied to recurring failure modes; verify effectiveness of fixes via metrics and error budgets.
- Reliability Engineering & Automation (Light Coding)
- Use light coding/scripting to automate recurring tasks: alert tuning, data enrichment, log parsing, playbook triggers, service health checks.
- Build small utilities or bots for on-call workflows (e.g., auto-triage, context gathering, incident timelines).
- Contribute to observability standards and best practices (naming, tags, SLIs, alert policies), and mentor teams on instrumenting for reliability.
Must-Have Skills
- 1+ years of experience with full stack development with Java.
- 2+ years of experience with Production Operations/Observability with Dynatrace and Splunk in high-availability environments.
- Exposure to SPL (Splunk) and Dynatrace (APM/RUM/Synthetic)—including alert design, dashboards, and noise reduction.
- Proven incident commander experience for Sev1/Sev2 with clear comms, stakeholder management, and PIR facilitation.
Nice-To-Have Skills
- Coding/scripting for automation and data manipulation (e.g., Python or PowerShell; Go/Bash a plus).
- Hands-on recent experience with GCP operations: Cloud Monitoring, Cloud Logging, Alerting Policies, Uptime Checks, SLOs/SLIs; familiarity with Error Reporting/Trace is a plus.
- Solid understanding of service reliability concepts: golden signals, SLOs/error budgets, capacity and saturation, graceful degradation.
- Strong analytical mindset with a bias to measurable outcomes (MTTD/MTTR, alert volume, SLO compliance).
Soft Skills Required
- Must possess excellent verbal and written communication skills, as well as strong problem solving and analytic skills.
- Must be a self-starter, reliable, highly motivated, results-oriented, customer-focused and attentive to details.
- Excellent analytical, documentation, and organizational skills.
- Ability to manage multiple priorities and deliver within deadlines.
- Strong communication and stakeholder engagement skills.
FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is C$30 - C$41/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.
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