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Added 1 hour 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
Added 1 hour ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 1 hour ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Hands-on experience with Docker and Kubernetes.
Added 1 hour ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…equivalent experienceGoogle Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*Candidates with equivalent practical experience, education, or…
Added 1 hour ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
We are looking for an experienced IT Specialist with strong Kubernetes expertise to manage, support, and optimize containerized applications and infrastructure. The ideal candidate will…
Added 2 hours ago
HB
Software Developer & Platform Engineer - DevEx - Python / C++ / KDB - FinTech - $150,000-$250,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $150,000 to $250,000 CAD / year
- Full-time
Job Title: Software Developer & Platform Engineer – Python / C++ / KDB/q
Added 6 hours ago
ES
Senior Full-Stack Java Developer
EPAM Systems
Canada
- Full-time
…maintainability while collaborating closely with the Principal Engineer. You'll have direct impact on the platform's health, engineering culture, and the technical growth of the…
Added 9 hours ago
B
Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
Experience deploying and operating containerized workloads on Kubernetes, including deployments, services, config and secrets, health probes, and resource limits.
Added 12 hours ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 13 hours ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial…
Added 15 hours ago
R
Principal Engineer, Cyber Technology Operations SRE (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…to move at a faster pace being more prevalent, the Principal Engineer, Cyber Technology Operations SRE will ensure that security technologies, services and controls are streamlined,…
Added 15 hours ago
LLM Engineer
ZS
Toronto, ON
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 18 hours ago
C
Full Stack Developer (Java + Angular)
CGI
Halifax, NS
- Full-time
CGI is seeking a highly skilled and experienced Senior Full Stack Engineer to join our growing team. In this role, you will leverage your expertise in Java, Spring Boot, Microservices,…
Added 18 hours ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 18 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 19 hours ago
V
Java Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled Senior Java Engineer to design, develop, and maintain
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Familiarity with containerization technologies like Docker and Kubernetes.
Added 19 hours ago
OI
Senior Software Engineer
Oryn, Inc.
Mississauga, ON
- Full-time
Role Description The Senior Software Engineer will design, develop, and maintain robust software systems that power Oryn’s AI-driven products. Day-to-day responsibilities include…
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Experience working with CI/CD pipelines, Kubernetes and other containerized platforms.
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Experience working with CI/CD pipelines, Kubernetes and other containerized platforms.
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Experience working with CI/CD pipelines, Kubernetes and other containerized platforms.
Added 20 hours ago
V
Senior Software Engineer
Virtusa
Halifax, NS
- Full-time
Overview: We are seeking a skilled Azure Platform Engineer with deep expertise in Azure
Added 20 hours ago
C
DevOps Consultant – Application Release & Platform Operations
CGI
Halifax, NS
- Full-time
Support containerized workloads using Docker and Kubernetes.
Added 20 hours ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 20 hours ago
N
Senior Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
As a Senior Software Engineer at Nokia, you'll be at the forefront of our software development efforts. Your expertise in Go development and distributed systems will be crucial in designing…

Sentry

Software Engineer, Streaming Platform

Remote, Canada

Remote

$163,000 to $200,000 CAD / year · Full-time

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Job details

Pay: $163,000 to $200,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming.
Posting language: English
Posted: Oct 9, 2026

Original job description

About Sentry

Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.

Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.

About the role

The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers.

As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead.

This role is based in Toronto, with three days per week in the office to work closely with engineering teams.

In this role you will

Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions.
Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more).
Build scalable automation and control plane for Kafka fleet management and improve efficiency.
Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines.
Improve observability, monitoring, and failover for mission-critical real-time systems.

You’ll love this job if you

You enjoy working on distributed systems at scale and care about reliability and performance.
You like building abstractions that make complex infrastructure easier for others to use.
You are motivated by designing systems that balance flexibility for developers with best practices for stability.
You are excited to shape how Sentry handles near real-time ingestion and analytics at scale.
You value being part of a collaborative team where your contributions make a broad impact across the company.

Qualifications

At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming.
Proficiency in a programming language such as Python, Rust, Go, or Java (we primarily use Python and Rust, but experience in similar languages is valuable).
Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP.
Nice to have: experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar tools.

The base salary range that Sentry reasonably expects to pay for this position is $163,000 to $200,000 CAD. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.

Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.

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More about this job

Responsibilities

You will design, build, and operate components of the streaming platform, including Kafka and high-level developer abstractions. Additionally, you will implement resilient, high-throughput stream processing systems and improve observability for mission-critical real-time infrastructure.

Requirements

Candidates must have at least 2-3 years of software engineering experience with a background in distributed systems or data infrastructure. Proficiency in Python, Rust, Go, or Java and experience with cloud environments like Kubernetes, AWS, or GCP are required.

Skills

Distributed systems
Data infrastructure
Real-time streaming
Python
Rust
Go
Java
Kafka
Kubernetes
AWS
GCP
Stream processing
System design
Observability
Monitoring

Benefits

Incentive compensation
Equity grants
Paid time off
Group health insurance coverage

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Streaming Platform
Distributed Systems
Data Infrastructure
Real-time Data Processing
Kafka
Python
Rust
Go
Java
Kubernetes
AWS
GCP
Stream Processing
Observability
Monitoring
Infrastructure
Automation
Control Plane
Ingestion Pipelines
Flink
Spark Streaming
Software Engineering
Cloud Environments
Reliability
Performance
System Design
API Development
Developer Experience
Analytics

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