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Elk Stack Jobs in Toronto, ON (NOW HIRING)

Design and develop web-based applications, cloud services in Angular/Java/Spring/OpenShift stack ... Experienced in using monitoring tools OpenTelemetry, Splunk, ELK * Excellent written and oral ...

Design and develop web-based applications, cloud services in Angular/Java/Spring/OpenShift stack ... ELK Excellent written and oral communication skills Experience working with Java Script framework ...

Design and develop web-based applications, cloud services in Angular/Java/Spring/OpenShift stack ... ELK Excellent written and oral communication skills Experience working with Java Script framework ...

Hands-on experience with Linux server stacks (Ubuntu/Debian preferred). * Knowledge of cloud ... Familiarity with observability and alerting tools (Prometheus/Grafana or ELK/EFK). * Practical ...

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How much do elk stack jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for elk stack in Toronto, ON is $59.16, according to ZipRecruiter salary data. Most workers in this role earn between $38.77 and $71.80 per hour, depending on experience, location, and employer.

What is the ELK Stack?

The ELK Stack is a collection of three open-source tools—Elasticsearch, Logstash, and Kibana—commonly used for searching, analyzing, and visualizing large volumes of log data in real time. Elasticsearch is a powerful search and analytics engine, Logstash is a data processing pipeline that ingests and transforms data, and Kibana provides visualization capabilities on top of the data stored in Elasticsearch. Together, they help organizations monitor applications, troubleshoot issues, and gain insights from their data.

What are the key skills and qualifications needed to thrive as an ELK Stack engineer, and why are they important?

To thrive as an ELK Stack Engineer, you need a solid understanding of Elasticsearch, Logstash, and Kibana, as well as experience with data indexing, search, and visualization, typically supported by a degree in computer science or related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and certifications like Elastic Certified Engineer are commonly valuable. Strong problem-solving, analytical thinking, and effective communication skills help you interpret data requirements and collaborate with teams. These competencies are crucial to designing, implementing, and maintaining scalable log management and analytics solutions that support business operations.

What are some typical challenges faced when managing and scaling an ELK Stack deployment in a production environment?

One common challenge is ensuring the ELK Stack remains performant as log volume and query complexity increase, which often requires careful resource planning and tuning of Elasticsearch indices. Another challenge is maintaining data security and compliance, as logs can contain sensitive information that must be protected. Additionally, team members often need to collaborate closely with DevOps, security, and development teams to tailor dashboards and alerts to business needs, which can demand strong communication and coordination skills. Proactive monitoring, regular updates, and automation can help address these challenges and ensure reliable log management.

What job categories do people searching Elk Stack jobs in Toronto, ON look for?

The top searched job categories for Elk Stack jobs in Toronto, ON are:

Infographic showing various Elk Stack job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, 5% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,046 per year, or $59.2 per hour.

Engineering Manager - Front Office Trading Risk Platforms

Toronto, ON • On-site

BMO Capital Markets
1 - 5K employees

CA$85K - CA$185K/yr

Full-time

Medical, Life, Retirement

Re-posted 8 days ago


Job description

Application Deadline:

09/13/2026

Address:

100 King Street West

Job Family Group:

Technology

Engineer and lead the backbone of real time credit decisioning for global trading. This is a hands on engineering leadership role building and operating ultra reliable, low latency Java services where milliseconds matter and correctness is non negotiable. You will set technical direction, remain actively involved in design and code reviews, and lead a small team of engineers partnering closely with trading, quant, and risk teams to deliver systems that scale under peak market load.

What You'll Lead

  • LowLatency Architecture - Own solution design for highthroughput, highly available components; drive concurrency best practices, JVM tuning, and rigorous performance profiling to meet strict SLOs.
  • Data & Model Integration - Oversee data preparation, validation, and model lifecycle management in line with established standards, with a focus on correctness, auditability, and repeatability.
  • HandsOn Technical Leadership - Lead design reviews, code reviews, and build quality bars across the SDLC; remove blockers and raise the team's engineering game with a Javafirst approach.
  • Platform Reliability - Evolve and support a missioncritical automated trading platform (observability, incident response, rootcause analysis) with an eye to resiliency, failover, and graceful degradation.
  • People & Culture - Set clear goals, coach, and develop top talent; foster an inclusive, hightrust environment aligned to our values; reward outcomes and elevate performance.
  • Enterprise Collaboration - Partner across trading, quant, risk, operations, and platform engineering to plan roadmaps, manage dependencies, and communicate progress with clarity.
  • Governance & Change - Ensure engineering practices meet control requirements (testing, documentation, release discipline, model governance); implement change as market conditions and business priorities shift.
  • And as needed - Take on broader responsibilities that advance the platform and the business.

What You'll Build & Improve

  • Java microservices that power realtime credit checks and tradeflow decisioning.
  • Eventdriven integrations with market data, pricing, and risk engines; APIs for trading UIs and dealer workflows.
  • Performance toolkits-benchmarks, load tests, and reliability playbooks-to keep systems fast and stable in production.

Qualifications

Core Experience

  • 7+ years in software engineering with significant enterprise Java focus; experience leading engineers or managing a dev team in a frontoffice or nearfrontoffice context.
  • Track record delivering lowlatency, distributed systems supporting trading or risk workflows; comfort operating in highstakes, traderfacing environments.
  • Education: Postsecondary degree in Computer Science or related field (or equivalent experience). Combination of technical leadership, delivery excellence, and domain knowledge expected.

Advanced Proficiency

  • Java (primary language) - low latency, multithreading/concurrency, collections, JVM performance tuning, memory management, and profiling.
  • Computer Science & Data Structures - strong fundamentals, clean code and API design, and testability.
  • Risk Analytics & Financial Markets - understanding of pricing, market microstructure, and trade lifecycle.
  • Automation & Delivery - CI/CD, automated testing, release discipline, and operational runbooks.
  • Communication & Leadership - crisp written/oral communication; ability to influence across functions.
  • Collaboration & Ambiguity - excels in crossgroup execution, making sound decisions with incomplete information.
  • DataDriven Decisions - uses metrics, SLIs/SLOs, and evidence to guide priorities and tradeoffs.

Intermediate Proficiency

  • Adaptability
  • Learning Agility
  • Relationship Building - thrive in a fast market and complex stakeholder landscape.

Required Technical Stack (JavaFirst)

  • Programming: Java (primary), Spring/Spring Boot, REST; eventdriven and microservice patterns.
  • Performance: Concurrency, lock contention analysis, GC tuning, async/reactive patterns; load and latency testing.
  • Messaging & Streaming: Kafka/Solace (or equivalent), pub/sub, backpressure and replay strategies.
  • Data: Oracle/PostgreSQL; schema design for high throughput; familiarity with Redis/Hazelcast (or equivalent).
  • Observability: Metrics, logs, tracing (Prometheus/Grafana/ELK/Splunk); SLI/SLO management and oncall readiness.
  • DevOps & Cloud: Git, Jenkins/Azure DevOps CI/CD; Docker/Kubernetes; experience with Azure preferred.
  • Security & Controls: Secrets management, leastprivilege access, auditability, model governance alignment.

Salary:

$85,500.00 - $185,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.