Design and implement backend frameworks that protect and optimize critical system resources, including rate limiting, traffic shaping, concurrency controls, and query timeout enforcement

Monitor production latency, throughput, and resource utilization across the database, application, cache, and edge layers; create and maintain meaningful metrics, dashboards, and alerts, often through automated tooling

Analyze latency and scalability bottlenecks end-to-end—including JVM profiling, thread and heap analysis, SQL query plans, slow logs, and Hibernate behavior—and drive fixes in code, SQL, and configuration

Perform capacity and cost-efficiency analysis, participate in weekly metrics reviews, and support onboarding of large customers and high-traffic events

Advise engineering teams on scalable, efficient feature design; review pull requests and SQL changes for latency, resource, and scale impact, and recommend tuning or refactoring

Actively explore and integrate contemporary AI-driven developer tooling, automated diagnostics, and intelligent monitoring to accelerate latency and capacity investigations, automate analysis of metrics and logs, and reduce toil

Write high-quality unit and functional tests and participate in design and code reviews to keep the engineering bar high





Participate in on-call rotations handling latency and scale-related customer escalations, rate limit requests, and production incidents; contribute to Root Cause Analysis (RCA) and long-term mitigations

Collaborate closely with SRE, Database Reliability Engineering, Architects, QA, Product Owners, and Customer Support to deliver secure and dependable software

Benefits

Work from home opportunities

Health + Wellness

Financial Benefits

Pay + Incentives

Time Off

Everyday Living

Resources

Proven experience diagnosing and resolving latency, throughput, and scaling bottlenecks in high-availability, multi-tenant SaaS environments

Strong experience with relational databases, preferably MySQL and Hibernate, including query optimization, indexing, execution plan analysis, and schema design

5+ years of experience as a software developer with strong knowledge of Java or a similar language, including a solid understanding of JVM internals, garbage collection, and concurrency

Hands-on experience with profiling and observability tools, such as Java Flight Recorder, async-profiler, thread and heap dump analysis, Datadog, Splunk, or Prometheus/Grafana

Working knowledge of cloud infrastructure (AWS preferred, or GCP/Azure) and modern container ecosystems (Docker, Kubernetes)

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📌 Senior Software Engineer - Performance Engineering (Montreal)
🏢 Okta
📍 Montreal