Jobs in Canada

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Added 2 months ago
E
Lead Full Stack Engineer
eBay
Toronto, ON
- Full-time
Proven system design expertise with distributed systems, including scalability, reliability, and performance trade-offs.
Added 6 months ago
C
Staff Chip Design Engineer - FPGA
Cognichip
Toronto, Ontario
- $184,000 to $222,000 CAD / year
- Full-time
At Cognichip, we’re not just building AI - we’re redefining what’s possible at the nexus of silicon design and machine learning. As a Staff FPGA Design Engineer, you will fuse chip design…
Added 6 months ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
Design reviews, ADRs, ICAG-style governance forums
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
…Engineering, B.S. in Physics, M.S. in Electrical Engineering, an Engineer’s Degree, and a Ph.D. in Electrical Engineering. He earned the David Adler Memorial Thesis Prize and the Morris…
Added 4 months ago
F
AI Engineer
FacilityOS
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
The AI Engineer reports to the VP of Engineering and serves as FacilityOS's hands-on technical anchor for AI agent development. This role sits within the central engineering function that…
Added 2 months ago
T
Senior Software Engineer (Back-end/Server)
Trulioo
Vancouver, BC · Toronto, ON
- Full-time
Our offices support a hybrid model and staff typically work three days per week at a hub location · This will be a full-time, permanent position, ideally working out of the Vancouver office on a hybrid model (3-days per week in the office)
Added 6 months ago
H
Senior Software Engineer, Data
Hive
Remote, Canada
- $123,600 to $187,900 CAD / year
- Full-time
- Remote
…scale. We aren’t focused on only BI or dashboards - we build the systems that power Hive’s products and make data accessible, reliable, and…
Added 6 months ago
S
Software Engineer - Solutions
Suger
Vancouver, British Columbia
- $90,000 to $130,000 CAD / year
- Full-time
We work in a hybrid model with 4 days per week in our Downtown Vancouver office
Added 6 months ago
S
Software Engineer - Solutions (Marketplace & AI Integrations)
Suger
Vancouver, British Columbia
- $90,000 to $130,000 CAD / year
- Full-time
We work in a hybrid model with 4 days per week in our Downtown Vancouver office
Added 6 months ago
K
Senior Software Engineer, AI
Klue
Toronto, Ontario
- $145,000 to $183,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 6 months ago
K
Senior Software Engineer, AI (Agents)
Klue
Vancouver, British Columbia
- $145,000 to $183,000 CAD / year
- Full-time
Build and ship backend systems that power agentic workflows. You design retrieval pipelines, orchestration layers, and multi-step agent architectures that turn millions of competitive data…
Added 6 months ago
JC
Machine Learning Engineer - IV (Biometrics)
Jumio Corporation
Montreal, Quebec
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 2 months ago
C
Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
Added 6 months ago
F
Full Stack Engineer, Early Career
Feathery
Toronto, Ontario
- Full-time
We’re hiring a Full Stack Engineer to help build and scale core product capabilities end-to-end. This role is ideal for someone early in their career who enjoys owning features across the…
Added 6 months ago
HC
Senior Principal Researcher & Technical Leader – Agentic RL for Distributed Computing
Huawei Canada
Markham, Ontario
- Full-time
Solid foundations in optimization, probability, and game theory, with the ability to design and analyze complex learning systems.
Added 6 months ago
G
Senior Infrastructure Engineer
Gumloop
Vancouver, British Columbia
- $200,000 to $300,000 USD / year
- Full-time
We're looking for a Senior Infrastructure Engineer to own and scale the systems that power Gumloop. You'll architect and roll out large-scale infrastructure projects independently, define…
Added 4 months ago
EG
Sr. Data Platform Engineer
Etraveli Group
Toronto, Ontario
- Full-time
Design StatefulSet, PVC, pod-disruption-budget, and rolling-upgrade patterns that are safe for production data systems.
Added 4 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
We’re looking for a Software Engineer - Data to design, build, and evolve Forum’s next-generation enterprise data platform using the Microsoft Fabric technology stack (or a suitable…
Added 2 months ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week
Added 4 months ago
M
{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap…
Added 4 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Reporting to the Director, AI & Digital Planning, the Senior AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions…
Added 4 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 2 months ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 2 months ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…

Etraveli Group

Sr. Data Platform Engineer

145 King St W, Toronto, ON, M5H 1J8, Canada

Full-time

Apply on etraveligroup-tripstack.teamtailor.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Jul 10, 2026

Original job description

About Tripstack

Founded in Toronto, Canada in 2016, Tripstack has been part of Etraveli Group since 2019. It is a B2B Flights as a Service provider and a world leader in virtual interlining.

Operating from offices in Canada, India, and Poland, Tripstack is the gateway into Etraveli Group’s world leading tech platform - giving partners access to global flight content, virtual interlining, and a full suite of services including payments, fraud prevention, pricing, and customer support. As a world leader in virtual interlining technology, Tripstack connects non-partner, low-cost and full-service carriers, enabling the creation of unique and flexible itineraries through a simple, cost-effective API.

Its technology ingest over 30B price points and handles over 240 million searches daily.

Through partnerships with airlines, OTAs, and other distribution channels across the globe, Tripstack expands networks, drives new revenue streams, and offers more choice at competitive prices, all backed by robust technology and traveler protection.

For more information, visit:

www.tripstack.com

www.etraveligroup.com

We're hiring for this role in Kraków, Poland or Toronto, Canada. It's a hybrid position, with two days a week in office at the hiring location.

The role

Tripstack is moving its entire data stack from bare-metal VMs to Kubernetes on OpenStack in a new data centre. We are looking for a senior infrastructure engineer who has done stateful migrations before, who can plan, codify, and execute this one safely, and who will own the day-to-day operational health of the data platform once we are there.

This is a hands-on platform and SRE role with a clear, time-bounded mission. You will partner closely with our SRE team on networking, hardware, and Kubernetes fundamentals, and own the data applications - Druid, Spark, Redpanda, Airflow, PostgreSQL, Elasticsearch - end-to-end.

It is not an ML role. We have a separate plan for evolving our MLFlow platform, and the right hire here may grow into more of that work over time, but day-one impact is the migration and the operational health of the platform.

Responsibilities

Lead the data-stack migration

Plan and execute the migration of Druid, Spark, Redpanda, and our orchestration layer from bare-metal VMs to Kubernetes on OpenStack, with no downtime on stateful workloads.
Design StatefulSet, PVC, pod-disruption-budget, and rolling-upgrade patterns that are safe for production data systems.
Codify the migration with Infrastructure as Code - Terraform for OpenStack, Helm or Kustomize for Kubernetes, GitOps via ArgoCD or Flux - so the result is reproducible and supportable by the whole team.

Operate the data platform

Own the operational health of Druid, Spark, Redpanda, Airflow, PostgreSQL, and Elasticsearch as production systems - segment lifecycle, JVM tuning, ingestion specs, broker/coordinator/overlord internals, partition design, consumer lag, replication tuning.
Build the KPIs, alerting, dashboards, and runbooks that let us see cluster exhaustion before it becomes an incident, and diagnose it quickly when it does.
Own the query, report, segment, and tiering optimisations that keep our analytics cost-effective and responsive under load.

Raise the bar on observability and reliability

Build the Prometheus, Grafana, and distributed-tracing coverage our data systems need. Treat SLOs, error budgets, and post-incident discipline as table stakes.
Partner with SRE on hardware, networking, and Kubernetes fundamentals - but own the data applications themselves end-to-end.

Requirements

Strong Kubernetes experience with stateful workloads - StatefulSets, PVCs, pod disruption budgets, and rolling upgrades for data systems. You have done a real stateful migration before and can talk through what went wrong.
Infrastructure as Code at a senior level - Terraform, Helm or Kustomize, GitOps with ArgoCD or Flux. You have shipped production infrastructure this way, not just experimented with it.
Observability and RCA discipline - Prometheus, Grafana, distributed tracing, SLOs, error budgets, and the habit of writing the runbook that stops the next incident.
Production operations experience with at least one of Apache Druid, Apache Kafka or Redpanda, Apache Spark, or Elasticsearch - deep enough to be credible on internals and willing to learn the others.
7+ years building and operating production data or platform systems, at least 2 of them on self-hosted or bare-metal infrastructure. You have been on-call for what you built.
Clear written and verbal English; comfortable working across Kraków, Toronto, Pune, and Stockholm time zones.

Additional Experience That Would Be Considered An Asset

Deep Apache Druid production operations - segment lifecycle, JVM tuning, ingestion spec authoring, and RCA on broker/coordinator-class failures.
Apache Spark at scale - DAG execution, shuffle optimisation, memory tuning, Spark-on-Kubernetes.
OpenStack familiarity - Neutron networking, Cinder/Ceph storage.
Fluency with agentic coding tools (Claude Code, Gemini, or equivalent) as a real part of your workflow - including the judgement to know when not to trust an AI-generated config for a production data system.
Python that is production-grade, plus working knowledge of at least one JVM or Go-family language so you can integrate with our services directly.
Security and secrets management in Kubernetes - Vault, network policies, encryption at rest.
Change Data Capture patterns, especially PostgreSQL-to-Druid streaming.
Delta Lake or Apache Iceberg experience and architectural judgement about when to introduce a table format.
Exposure to travel, flights, or large-scale search and cache systems.
Interest in growing into ownership of our MLFlow-based ML platform over time. We have a separate plan for that work, but a curious operator is welcome.

Compensation:

Canada - Toronto Office : 140, 000 - 170,000 CAD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, or other benefits.

We use AI in our hiring process.

Benefits

We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team!

At Tripstack, we proudly believe in embracing diversity. This is true for our team, clients, communities and stakeholders. We are an equal opportunity employer and committed to creating a safe, healthy and accessible environment. We encourage applications regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other grounds protected by law. Please let us know if you need any accommodations during any part of the recruitment process.

Tripstack thanks all applicants for their interest, however only those selected to continue in the process will be contacted.

Learn more about us at www.tripstack.com

#tripstack

Apply on etraveligroup-tripstack.teamtailor.com About employer

More about this job

Responsibilities

Lead the migration of the data stack from bare-metal VMs to Kubernetes on OpenStack without downtime. Own the operational health, observability, and performance optimization of production data systems including Druid, Spark, and Redpanda.

Requirements

Requires 7+ years of experience building production data systems, with deep expertise in Kubernetes stateful workloads and Infrastructure as Code. Must have proven experience in production operations for tools like Druid, Kafka/Redpanda, or Spark.

Skills

Kubernetes
Terraform
Apache Druid
Apache Spark
Redpanda
Airflow
PostgreSQL
Elasticsearch
Helm
Kustomize
ArgoCD
Flux
Prometheus
Grafana
OpenStack
Infrastructure as Code

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
OpenStack
Terraform
Helm
Kustomize
ArgoCD
Flux
Apache Druid
Apache Spark
Redpanda
Airflow
PostgreSQL
Elasticsearch
Prometheus
Grafana
SRE
StatefulSets
PVC
GitOps
JVM Tuning
Distributed Tracing
SLOs
Python
Go
Vault
Change Data Capture
Delta Lake
Apache Iceberg
MLFlow
Virtual Interlining

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Work requirements

Jobs in Canada