Jobs in Canada

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Added 12 days ago
AM
Senior Infrastructure Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a Senior Infrastructure Engineer to own the platforms used to build and validate AMD software at scale. These platforms include large on-premises and cloud compute…
Added 12 days ago
A
Senior Full Stack Engineer
arcadia
Toronto, ON · Greater Toronto Area, Canada
- $200,000 to $250,000 CAD / year
- Full-time
An AI company focused on medical imaging and clinical research is hiring a Senior Full Stack Engineer to build software that helps bring effective cancer treatments to patients sooner.
Added 12 days ago
Azure Cloud Engineer - Senior Consultant
EY
Toronto, ON
To qualify for this role you must have: · Experience in Automation (must have) and Orchestration:
Added 12 days ago
Senior Software Engineer in Test, Android
Okta
Toronto, ON
We are looking for an experienced Software Development Engineer in Test (SDET) to join the Android platform team. The team is responsible for developing and maintaining Okta Verify and…
Added 13 days ago
Principal Backup Engineer
Scotiabank
Toronto, ON
The Principal Engineer is to advise senior technology leaders on platform strategy, technology risk, resiliency posture, investment planning, and emerging industry trends, maintains…
Added 13 days ago
P
Senior DevOps Engineer
Pixieset
Vancouver, BC
- $117,800 to $160,650 CAD / year
- Full-time
Hybrid work environment (2 in-office days per week)
Added 13 days ago
UT
Sr Python Engineer #26-21269
US Tech Solutions
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python…
Added 13 days ago
II
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
The Ipsos DataHub is a uniquely positioned group within Ipsos. It is a next-generation data platform designed to unlock the full value of data across the organization. By bringing together…
Added 13 days ago
C
Knowledge Graph Engineer
Centraprise
Toronto, ON
- Contract
We are seeking a Senior Full-Stack Engineer to build and maintain a knowledge graph platform for enterprise data governance. The role involves developing scalable backend services,…
Added 13 days ago
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Senior HPC and Platform Engineer
GeoSoftware
Calgary, AB
- Full-time
We are looking for an experienced HPC and platform engineer to join our Digital Platform team.
Added 13 days ago
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Senior Software Engineer – Computational Algorithms
GeoSoftware
Calgary, AB
- Full-time
We are looking for an experienced computational engineer to join our Digital Platform team.
Added 13 days ago
SC
Senior Engineer, Cloud Operations
Sleep Country
Brampton, ON
- Full-time
Sleep Country Canada is looking for a Senior Cloud Engineer to plays a key role in ensuring the reliability, performance, and security of Sleep Country’s multi-cloud environment. This…
Added 13 days ago
TC
Senior Data Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- Full-time
You must be based in Vancouver for this role
Added 14 days ago
E
Tests and Validations Specialists
EERS
Montreal, QC
- Full-time
…involved in all phases of product design. Reporting to the Senior Hardware Design Engineer, and under supervision of the EMC specialist, we expect them to perform a variety of tasks ranging…
Added 14 days ago
AS
Senior Software Development Engineer in Test (SDET) – Digital Banking
Aequilibrium Software Inc.
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
Senior QA Automation Engineer / SDET (Canada-only)
Added 15 days ago
LI
Senior Software Engineer - C#/.NET & Blazor
LanceSoft, Inc.
Markham, ON
- $70 to $75 CAD / hour
- Contract
Design, develop, and maintain scalable, high-quality web applications and services using Blazor, C#/.NET, and Python.
Added 15 days ago
BD
Senior DevOps Engineer - Cloud Operations
Black Duck
Calgary, AB
- Full-time
Staff. DevOps Engineer will be a key player on the Cloud Operations team responsible for all SaaS and Hosted services across the company's product portfolio. They will proactively work with…
Added 15 days ago
O
Senior/Staff Software Engineer - Tech Lead
OpenMined
Remote, Canada
- $126,000 to $188,000 USD / year
- Contract
- Remote
We're looking for a Senior / Staff Software Engineer to join OpenMined, a nonprofit building open-source infrastructure for federated AI.
Added 15 days ago
OG
Intermediate Software Engineer - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
There is an exciting opportunity for an Intermediate Software Engineer to join Onni Capital in Vancouver.
Added 15 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 15 days ago
RC
Senior Associate - Identity and Access Management
RSM Canada
Toronto, ON
- Full-time
Must possess a high degree of integrity and confidentiality and demonstrate sound judgment when working with sensitive identity and access information
Added 15 days ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer with deep Java and Python expertise to work directly with Fintech clients in the Spread Products space. This is a hybrid engineering and…
Added 15 days ago
B
Consultant, Cloud Engineer - Azure
BDO
Toronto, ON
- $68,000 to $104,000 CAD / year
- Full-time
BDO Digital is looking for a Consultant, Cloud Engineer to join our growing Cloud and Platform Engineering team. You will work alongside experienced engineers, architects and client teams…
Added 15 days ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
This is a hybrid role, with a minimum of two days per week in our Toronto office location
Added 15 days ago
L
QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
We are hiring a Senior QA Test Engineer (SDET) for our Industrial and Data team. Today the developers on this team test their own work, so the connectors that talk to PLCs and industrial…

GeoSoftware

Senior HPC and Platform Engineer

Calgary, AB, T2P 3C5, Canada

Full-time

Apply on geosoftware.bamboohr.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Minimum 5 years of professional engineering experience in distributed computing, HPC or cloud platform engineering
Posting language: English
Posted: Nov 2, 2026

Original job description

About GeoSoftware

GeoSoftware is a global leader in Geoscience Software and provides a comprehensive range of software solutions that support our clients to achieve their goals. Our tools help our clients to develop a better understanding of the subsurface, manage exploration and development risks and quantify reserves more accurately with our advanced geoscience technology.

Working at GeoSoftware is all about passion and sharing our ambition for ongoing technological innovation. We have more than 150 employees, spread over 18 different countries. Our people are our most important asset and developing our talents is a priority. As part of GeoSoftware, you will work with international and diverse teams of experts in an environment of excellence which will enable you to create your own opportunities and realize your full potential.

Job Summary

We are looking for an experienced HPC and platform engineer to join our Digital Platform team.

You would own the execution layer of our next generation of geoscience software: the layer that takes a piece of scientific work and runs it, at the same scale and with the same result, across a range of compute environments. That range covers a single workstation, on-premise HPC under Slurm or PBS, managed services such as Databricks, cloud batch on AWS and Azure, and bring-your-own-cloud deployment into an externally administered subscription. You would also own the build and delivery pipeline that gets it there.

Breadth is the point of the role. The same work has to run across all of those backends behind one consistent interface, deploy securely into environments we do not administer, and perform well against blob storage rather than local disk.

You would work in a small, senior, distributed team alongside computational algorithm and front-end engineers.

Duties and Responsibilities

Distributed Execution

Design and build the distributed execution framework: task sequencing and dependencies, elastic scaling, checkpoint and restart, retry with backoff, structured error reporting and preservation of partial output
Make the same workload run across local multiprocessing, Dask, Ray, Slurm and PBS, managed Spark services such as Databricks, and the managed cloud batch services on Azure, AWS and GCP - behind one consistent interface, with a clear view of what each backend is actually good for
Design job submission, status, progress and cost reporting as structured, introspectable data, so that work can be launched and monitored programmatically and automatically as well as by hand, with guards that prevent a mistyped job from running for hours
Build the job admission, entitlement and metering path

Cloud and Deployment

Build and maintain infrastructure as code - Terraform in particular - that stands the platform up repeatably in bring-your-own-cloud and externally administered environments
Containerize compute components as lean, independently versioned images
Implement the security surface of a deployed system: identity and access management, least-privilege roles and service principals, secrets handling, network isolation, encryption in transit and at rest, and image and dependency scanning in the pipeline
Support restricted and disconnected deployment scenarios
Work with identity, blob and object storage, networking, quotas and cost control across at least one major cloud

Performance

Parallel decomposition and profiling of compute-bound scientific workloads, so that throughput demonstrably scales with available CPU, GPU and storage bandwidth
Diagnose and fix I/O-bound behaviour against blob and object storage: concurrency limits, throttling, request batching, and access patterns that are invisible on a local disk but cost minutes against a remote store
Establish and defend performance baselines, with measurement rather than assertion

Build, Release and Operations

Own CI/CD, build and release engineering: pipelines, a nightly regression harness, native installers for Windows and Linux, and containerized cloud delivery
Stand up observability: job lifecycle, resource utilization and cost visibility across every backend
Support what you build, and feed what you learn from doing so back into the design

Skills and Competencies

Skills:

Production experience with at least one distributed compute framework - Ray, Dask, Spark or MPI - and a clear view of where each is the right tool. Having run one at real scale and watched it fail is worth more than having read about all of them
Strong Python for orchestration, services and bindings
Solid modern C++, or the confidence to work in it: the compute kernels are native code and the binding seam is shared with the algorithm engineers
Infrastructure as code, Terraform in particular, and experience deploying the same system into environments you do not control
Containerization and Kubernetes, including image layering and size discipline
Working proficiency in one or two major cloud providers - Azure, AWS or GCP - with awareness of the others
Blob and object storage performance in practice, not only in principle
Practical cloud security: identity and access management, least-privilege roles, secrets management, network isolation and encryption
CI/CD pipelines, release engineering and the operational instincts that come from having supported what you built
Strong written English, and the habit of documenting asynchronously

Competencies:

Ownership and self-direction
Systems thinking across boundaries they do not personally own
Pragmatic judgement about where complexity is worth it
Collaboration across disciplines
Technical expertise (distributed computing and platform engineering)
Alignment with company interest

Qualifications & Requirements

Required:

Bachelor's degree in computer science, engineering, physics, mathematics or a related technical discipline, or equivalent practical experience
Minimum 5 years of professional engineering experience in distributed computing, HPC or cloud platform engineering
Demonstrable production experience with a distributed compute framework
Demonstrable experience with infrastructure as code, and working proficiency in one or two major cloud providers
Experience owning a CI/CD and release pipeline end to end
Sound security practice in cloud and containerized deployment: identity and access management, secrets handling and least privilege
Able to work effectively in a small, remote, multi-timezone team: writing things down, communicating asynchronously and operating without close supervision
Fluent written and spoken English

Desired:

HPC scheduler experience - Slurm or PBS - in a shared, contended environment
Managed cloud batch or Spark services: Databricks, Azure Batch or AWS Batch, and a view on when each beats a long-lived cluster
Oil and gas or seismic processing background, or other large-scale scientific computing
Cloud-native, chunked array storage formats and parallel I/O
OSDU, or other subsurface data platform integration
GPU computing: CUDA, or GPU-accelerated numerical libraries
Security certification or formal security review experience; supply-chain security, SBOM or vulnerability management
Restricted or disconnected deployment; software licensing and entitlement enforcement
Cost attribution and capping per job, per user and per tenant
Fluent with AI coding tools for prototyping, test generation and refactoring, with the judgement to know where their output must be verified rather than trusted

We value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Apply on geosoftware.bamboohr.com About employer

More about this job

Responsibilities

Design and build a distributed execution framework to run scientific workloads across various compute environments including local, on-premise HPC, and cloud platforms. Maintain infrastructure as code, manage CI/CD pipelines, and ensure performance and security across all deployed systems.

Requirements

Requires a bachelor's degree in a technical discipline and at least 5 years of professional experience in distributed computing, HPC, or cloud platform engineering. Candidates must demonstrate proficiency in infrastructure as code, cloud security practices, and distributed compute frameworks.

Skills

HPC
Distributed computing
Python
C++
Terraform
Kubernetes
Cloud computing
Azure
AWS
GCP
CI/CD
Containerization
Slurm
PBS
Dask
Ray

Visa sponsorship

Not detected in the job text

Keywords

HPC
Platform Engineering
Distributed Computing
Python
C++
Terraform
Kubernetes
Cloud Batch
Azure
AWS
GCP
CI/CD
Slurm
PBS
Dask
Ray
Spark
Databricks
Infrastructure as Code
Containerization
Identity and Access Management
Blob Storage
Object Storage
Performance Profiling
Geoscience Software
Release Engineering
Observability
Parallel Decomposition
Security
Automation

Seniority

Senior

Tools

Terraform
Kubernetes
Slurm
PBS
Databricks
Ray
Dask
Python
C++

Languages

English

Fields of study

computer science
engineering
physics
mathematics

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Work requirements

Jobs in Canada