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Added 1 hour ago
C
Senior QA Analyst – API Testing (Insurance/GRS)
Cognizant
Toronto, ON
- $60,000 to $90,000 CAD / year
- Full-time
Validate end-to-end processing across user interfaces, batch jobs, Kafka events, files, APIs, databases, and downstream systems.
Added 3 hours ago
A
Software Engineer - Apple, Inc.
Apple
Vancouver, BC
- Full-time
Build streaming data pipelines and event-driven architectures leveraging Apache Kafka.
Added 6 hours ago
T
Business Systems Analysis Specialist
TD
Toronto, ON
- Full-time
Understanding MQ Messages, KAFKA topics and events is an asset.
Added 8 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Added 8 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Added 8 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Added 8 hours ago
C
Java Integration Developer
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Java Integration Developer to join our growing team. In this role, you will design, develop, and support enterprise integration solutions that connect…
Added 9 hours ago
IF
Lead Full Stack Developer
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
…confident and secure about their future? As a Lead Full Stack Developer, you will play a key role in the analysis, development, integration, testing, and evolution of robust digital…
Added 10 hours ago
BC
Solution Architect
BrainRidge Consulting
Toronto, ON
- Full-time
Experience with streaming technologies like Kafka
Added 10 hours ago
T
Portfolio Lead
TEKsystems
Toronto, ON
- $100 to $120 CAD / hour
- Full-time
Technical knowledge of Java, Spring Boot, API-driven architecture, or Apache Kafka.
Added 11 hours ago
Software Engineer
Apple
Vancouver, BC
Hands-on experience with distributed data technologies: Apache Cassandra, Apache Solr (or Elasticsearch/Lucene), Redis, and Apache Kafka.
Added 11 hours ago
AG
Dotnet Developer
Axiom Global Technologies
Montreal, QC
- Contract
We are seeking a skilled .NET Developer with experience in backend development, microservices, event-driven architecture, cloud storage, and full-stack monitoring solutions. The ideal…
Added 12 hours ago
Systems Developer, PAAS / Développeur de systèmes, PAAS
Tower Research Capital
Montreal, QC
Une expérience des systèmes distribués, tels que Kafka et etcd, constitue un atout important.
Added 12 hours ago
IG
Platform Engineer
Insight Global
Vancouver, BC
- $60 to $70 CAD / hour
- Contract
Experience with Kafka, RabbitMQ, or similar messaging technologies
Added 12 hours ago
R
Senior Manager, Application Development and Integration
RBC
Toronto, ON
- Full-time
Advanced experience with Big Data Technologies (Spark, Hadoop, Hive, Kafka), .Net, React, JavaScript, REST APIs, Microservices, NoSQL/SQL databases.
Added 12 hours ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
Data engineering background (ETL/ELT tools, Airflow, Kafka, Spark)
Added 13 hours ago
CL
Data Scientist
Charger Logistics Inc
Brampton, ON
- Full-time
…decision systems built on cloud platforms, including Google Cloud, Kafka, and…
Added 13 hours ago
SG
Java Spring Developer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Software Guidance & Assistance, Inc., (SGA), is searching for a Java Spring Developer for a contract assignment with one of our premier Financial Services clients in Mississauga, ON.
Added 13 hours ago
MC
Node.js API Developer , Banking API Modernizatio (35909)
Myticas Consulting
Toronto, ON
- Contract
We are seeking an experienced Node.js API Developer (AWS) to support a major Canadian financial institution’s Digital Core modernization initiative.
Added 13 hours ago
H
Sr. Guidewire Policy Center Cloud Integration Lead
Hays
Toronto, ON
- Contract
· Oversee middleware/ESB integration strategy (MuleSoft, Kafka, Azure Service Bus, or similar) in conjunction with Guidewire Cloud Platform (GWCP).
Added 13 hours ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
AWS Certified Solutions Architect or AWS Certified Developer certification.
Added 13 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Data engineering background (ETL/ELT tools, Airflow, Kafka, Spark)
Added 13 hours ago
AI
Senior AWS Data Engineer - 10+yrs
Apptoza Inc.
Toronto, ON
- Contract
Build and support real-time data streaming solutions using Amazon Kinesis and/or Apache Kafka.
Added 13 hours ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
…decision systems built on cloud platforms, including Google Cloud, Kafka, and…
Added 13 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL

High Tech Genesis

G12 / BB Senior Software Engineer, Performance & Scale

Ottawa, ON, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

We are hiring a Senior Software Engineer, Performance & Scale for an opportunity with one of our technology clients.

The engineer will join a team working on highly complex, massively scaled software systems, with a strong focus on performance, scalability, reliability, distributed systems, microservices architecture, and automation.

This role is suited to an experienced software engineer who has worked on systems operating at significant scale and is comfortable diagnosing complex performance issues, improving system efficiency, developing automation, and troubleshooting distributed production environments.

The role may involve working across technologies including Go, Python, Ruby on Rails, and React, depending on the area of the platform and project requirements.

Key Responsibilities

Design, develop, and optimize highly scalable software systems and services.
Work on complex distributed systems operating at massive scale.
Analyze system and application performance to identify bottlenecks and opportunities for optimization.
Design, develop, and maintain microservices and distributed architectures.
Improve system latency, throughput, scalability, reliability, and resource utilization.
Investigate and triage complex production issues across highly distributed environments.
Perform root-cause analysis and develop sustainable solutions to recurring system and performance issues.
Develop automation for testing, diagnostics, monitoring, deployment, and operational workflows.
Build tooling and frameworks that improve system observability, diagnostics, performance, and engineering efficiency.
Collaborate with engineering teams on architectural decisions involving scalability, distributed systems, and performance.
Work across application code, backend services, APIs, infrastructure, and engineering tooling as required.
Participate in code reviews, design reviews, testing, debugging, and production support.
Identify opportunities to improve engineering processes through automation and technical innovation.

Required Qualifications

Strong professional experience in software engineering.
Hands-on experience designing, developing, and supporting large-scale distributed systems.
Strong experience with performance engineering, scalability, and system reliability.
Experience working with microservices architectures.
Experience troubleshooting and triaging complex issues in highly scaled production environments.
Strong programming experience in one or more languages such as Go, Python, Ruby, Java, C++, or similar.
Experience with automation, scripting, and engineering tooling.
Strong understanding of concepts including latency, throughput, concurrency, fault tolerance, scalability, and reliability.
Experience working with APIs, service-to-service communication, and distributed application architectures.
Strong debugging, analytical, and problem-solving skills.
Ability to work effectively across complex technical environments and engineering teams.

Technical Environment

Experience with several of the following technologies and concepts is valuable:

Programming Languages: Go, Python, Ruby, Java, C++, or similar
Web / Application Frameworks: Ruby on Rails, React, and modern web application frameworks
Architecture: Microservices, distributed systems, service-oriented architectures
Containers & Orchestration: Docker, Kubernetes
Cloud & Infrastructure: AWS, Azure, GCP, or comparable environments
APIs & Services: REST APIs, service-to-service communication, distributed services
Databases: Relational and NoSQL databases
Messaging & Streaming: Kafka, RabbitMQ, or similar technologies
Caching: Redis, Memcached, or similar technologies
Observability: Prometheus, Grafana, OpenTelemetry, ELK/EFK, or comparable platforms
Performance Engineering: Profiling, benchmarking, load testing, capacity planning, performance optimization
Automation & CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar tools
Version Control: Git

Preferred Qualifications

Experience engineering and supporting systems at massive scale.
Experience with high-throughput and low-latency systems.
Strong experience with performance profiling and optimization of distributed applications.
Experience with Go and/or Python in large-scale systems.
Experience with Ruby on Rails and/or React in full-stack application environments.
Experience with Kubernetes and containerized microservices.
Experience with cloud-native architectures and distributed infrastructure.
Experience with observability, monitoring, and distributed tracing.
Experience investigating production incidents and performing root-cause analysis.
Experience developing automation, internal tooling, and engineering frameworks.
Familiarity with reliability engineering and performance testing practices.
Experience working in an Agile software development environment.

What You'll Bring

We are looking for a senior engineer who is comfortable solving complex performance, scalability, reliability, and distributed-systems challenges at massive scale.

You should be able to work across application code, services, APIs, infrastructure, and engineering tooling to understand how systems behave under significant scale and load.

Strong analytical skills, hands-on debugging experience, programming expertise, and the ability to develop automation and tooling are important for this role.

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize large-scale distributed systems and microservices, improving performance, scalability, latency, throughput, and reliability. Diagnose production issues, perform root-cause analysis, and build automation, tooling, and observability capabilities in collaboration with engineering teams.

Requirements

Requires substantial software engineering experience, including hands-on work designing and supporting large-scale distributed systems, microservices, and performance- and reliability-focused applications. Candidates should have strong programming, debugging, automation, and analytical skills, with experience troubleshooting complex production environments.

Skills

Distributed Systems
Performance Engineering
Scalability
System Reliability
Microservices
Go
Python
Ruby
Java
C++
Automation
Troubleshooting
Root-Cause Analysis
Kubernetes
Observability
Performance Optimization

Visa sponsorship

Not detected in the job text

Keywords

Go
Python
Ruby
Ruby On Rails
React
Java
C++
Microservices
Distributed Systems
Performance Engineering
Scalability
Reliability Engineering
Docker
Kubernetes
AWS
Azure
GCP
REST APIs
Relational Databases
NoSQL Databases
Kafka
RabbitMQ
Redis
Memcached
Prometheus
Grafana
OpenTelemetry
ELK/EFK
CI/CD
Git

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