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Elk Stack Jobs in Ontario (NOW HIRING)

Experience with monitoring and alerting tools such as New Relic, Datadog, ELK Stack * Experience with Azure is considered an asset * Note: Incumbent will work regular business hours, but may require ...

Experience with distributed systems technologies including Kafka, Redis, Cassandra, ELK stack, or similar messaging, data, and observability platforms. * 3+ years of production experience with ...

Experience monitoring and managing system performance using tools such as Prometheus, Grafana, ELK stack, or Dynatrace. * Working knowledge of streaming platforms, SQL/NoSQL databases, and ETL ...

Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance * Security Awareness: Understanding of security best practices in MLOps ...

Knowledge of monitoring and logging systems (e.g., Prometheus, Grafana, ELK stack). * Understanding of ITIL or similar service management frameworks. * Familiarity with Large Language Model (LLM ...

Expert Observability Engineer

Mississauga, ON · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

Experience with OpenTelemetry, Prometheus, ELK stack, or similar tools. Background in resilience engineering or incident management frameworks. As part of our hiring process, we may use artificial ...

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Elk Stack information

See Ontario salary details

$11

$61

$119

How much do elk stack jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for elk stack in Ontario is $61.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $75.24 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 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 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.
Infographic showing various Elk Stack job openings in Ontario as of August 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,933 per year, or $62 per hour.

Senior Staff Network Software Engineer

Kaseya Careers

Toronto, ON

Full-time

Posted 15 days ago


Job description

Position Summary

We are seeking a Sr. Staff Network Software Engineer to architect and develop scalable and multi-tenant cloud-native networking solutions and security architectures. This role blends cloud networking expertise with software development. 

The ideal candidate has deep experience in cloud-native Next-Generation Firewalls (NGFWs), Zero Trust Security, and Secure Access Service Edge (SASE) stack, along with hands-on cloud software development, data plane engineering, and cloud automation. The role will focus on building high-performance, multi-tenant cloud networking solutions for multiple deployment scenarios, integrating public and private clouds, cloud-managed networking devices, and SASE components. 

This is a handson role: you'll define the design, write and review code, and guide teams through delivering production systems. 

Key Responsibilities

  • Architect and develop multi-tenant cloud-native networking and security solutions in public, private cloud, and hybrid environments. 
  • Optimize traffic steering, policy orchestration, and security enforcement. 
  • Develop high-speed telemetry and analytics solutions for network visibility and threat detection. 
  • Develop software solutions to optimize cloud egress and gateway hosting costs, reducing expenses while maintaining network security and performance. 
  • Develop cloud networking applications using Go & PHP for traffic management, security policy orchestration, network observability, and service chaining. 

Required Qualifications  

  • 10+ years of experience in software engineering, with at least 7+ years focused primarily on backend systems.
  • 3+ years of experience in a Staff, Principal, or Architect role with end-to-end ownership of architecture and delivery.
  • 5+ years of hands-on programming experience in Golang, PHP.
  • 3+ years of hands-on experience with cloud-native NGFWs and network security appliances.
  • 5+ years of experience in Linux networking, including firewall configuration using netfilter, iptables, and nftables, as well as DNS filtering, traffic shaping, and QoS.
  • 3+ years of experience with network security technologies including DNS filtering, Deep Packet Inspection (DPI), Intrusion Detection and Prevention Systems (IDPS), Anti-Virus, and SSL Proxy.
  • 2+ years of experience working with SASE components such as DLP, SWG, ZTNA, CASB, sandboxing, anti-malware, and anti-virus.
  • 2+ years of hands-on experience with Linux userspace fast-path frameworks such as VPP and DPDK

Preferred Qualifications

  • Hands-on experience with fast path Linux Kernel fast path technologies like eBPF, XDP, and AF_XDP. 
  • Proven experience with data-path Multitenancy like VXLAN, Linux Namespaces and VRFs. 
  • Solid background in containerization and Kubernetes orchestration, including CNI selection, configuration, and troubleshooting. 
  • Familiarity with cloud-native Networking frameworks, like Cilium and Calico. 
  • Working experience with ELK stack, database stores like Redis and Cassandra, and message queues like Kafka. 
  • Knowledge of continuous integration workflows, testing tools, and source code management tools (e.g., Git). 
  • Strong experience with VPN technologies like IPSec and WireGuard. 

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