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Added 12 hours ago
PF
Responsable de l'architecture logicielle | Head of Software Architecture
Power Factors
Remote, Canada
- Remote
…en Grèce, à Montréal et dans d'autres régions • Encadrer les ingénieur·e·s senior et les responsables en ingénierie en matière de jugement architectural, de conception de systèmes et…
Added 12 hours ago
PF
Responsable de l'architecture logicielle | Head of Software Architecture
Power Factors
Montreal, QC
- Full-time
Encadrer les ingénieur·e·s senior et les responsables en ingénierie en matière de jugement architectural, de conception de systèmes et d'analyse des compromis techniques
Added 2 days ago
GR
Ingénieur logiciel Java/Ingénieure logiciel Java
GO ROCK IT
Toronto, ON · Greater Toronto Area, Canada
- Full-time
A career as a Senior Full Stack Developer in the Wealth Management Servicing team at our client means acting as a developer of back-end applications and supporting those applications. This…
Added 10 days ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui,…
Added 10 days ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui,…
Added 12 days ago
A
Founding Full-Stack Engineer
Alori
Montreal, QC
- Full-time
Ingénieur(e) full-stack fondateur(trice), Alori (Montréal ou San Francisco)
Added 13 days ago
H
Software Engineer
Highspring
Montreal, QC
- Full-time
Develop full-stack applications, including modern user interfaces using React or Angular
Added 14 days ago
P
Senior Software Developer in Test | Ingénieur·e logiciel senior en test
Plotly
Remote, Canada
- Full-time
- Remote
…in Python, and we are building AI features up and down the…
Added 16 days ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui,…
Added 17 days ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
…a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world! Leading enterprises use our unified security and observability platform…
Added 22 days ago
M(
Développeur(se) Full-Stack Principal - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- $130,000 to $230,000 CAD / year
- Full-time
- Remote
10 ans et plus d’expérience professionnelle dans la conception de produits web ou mobiles full-stack, avec une feuille de route démontrée de leadership technique dont la portée dépasse…
Added 22 days ago
M(
Développeur(se) Full-Stack Principal - Core
MaintainX (An Autodesk Company)
Remote, Canada
- $130,000 to $230,000 CAD / year
- Full-time
- Remote
10 ans et plus d’expérience professionnelle dans la conception de produits web ou mobiles full-stack, avec une feuille de route démontrée de leadership technique dont la portée dépasse…
Added 26 days ago
C
Ingénieur(e) MLOps senior
CGI
Montreal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 1 month ago
V
Software Engineer (Product - Backend)
Vasco
Remote, Canada
- Full-time
- Remote
Backend-focused, full-slice development: Design, build, and ship the backend behind Vasco, including challenging parts like our context graph and our metric engine, where formula accuracy…
Added 1 month ago
T
Senior Security Analyst (Bilingual French/English)
TEKsystems
Montreal, QC
- $70 to $80 CAD / hour
- Contract
Must have requirements
Added 1 month ago
G
Python Fullstack Developer
Genpact
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
We are seeking a hands-on Full Stack Engineer with strong Python and frontend development experience to build technology platforms and business-facing applications. The individual will work…
Added 1 month ago
KD
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
- Other
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
C
AI Engineer: 0→1 Builder
Carousel
Montreal, QC
- Full-time
Prototypage et développement Full-Stack : Concevoir des sites Web, des pages d’atterrissage et des applications Web à partir de zéro. Écrire du code propre, déployer des systèmes et tirer…
Added 1 month ago
S
Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
You set the play under ambiguity. You recognize when to escalate and when to decide. You utilize the full internal agent stack with expert fluency, lead more tailored Customer Impact Plan…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
V
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
Hands-on experience with our core stack: Snowflake, dbt and Airflow, or close equivalents you can carry across quickly.
Added 1 month ago
V
Senior Software Engineer - Simulation / Développeur(se) logiciel senior – Simulation
Vention
Montreal, QC
- Full-time
This position will require you to build expertise in the simulation components of Vention’s web-first technology stack. As a member of an agile team, you will refine Vention’s simulation…
Added 1 month ago
VC
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Hands-on experience with our core stack: Snowflake, dbt and Airflow, or close equivalents you can carry across quickly.
Added 2 months ago
C
Développeur C# / C++ (Expert Temps Réel)
CGI
Montreal, QC
- Full-time
CGI poursuit le développement de ses activités au sein du secteur Marchés de Capitaux et recherche un Ingénieur Senior spécialisé en calcul distribué et systèmes temps réel pour intervenir…
Added 2 months ago
AG
Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance
Aduna Global
Montreal, QC
- Full-time
[Add your core stack here, e.g., Kubernetes, gRPC, Kafka, PostgreSQL, so engineers can self-select.]

Aduna Global

Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance

Montreal, QC, Canada

Full-time

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Job type: Full-time
Work location: Modèle hybride (3 jours au bureau de Montréal)
Posting language: English · French
Posted: Sep 4, 2026

Original job description

English section of this bilingual listing.

All Together, Extraordinary

www.adunaglobal.com

Aduna Global normalizes and proxies CAMARA Network APIs across multiple global CSPs. For our enterprise customers, latency, throughput, and error rates are the value proposition. We are hiring a senior backend engineer to own performance as a production engineering discipline: profiling live systems, shipping fixes to production, and keeping a multi-CSP platform fast and predictable at P99.

What This Role Is (and Is Not)

This is a software engineering role, not a QA or test-automation position. You will work inside the production codebase: profiling, and modifying backend services, and owning performance fixes end to end. If you have shipped production code and been the engineer people call when “everything looks fine, but something is clearly wrong,” read on.

What You’ll Do

Profile and root-cause performance issues in production across backend services, API gateway layers, and CSP integration paths, using flame graphs, distributed tracing, eBPF-based tooling, and low-level instrumentation.
Ship performance fixes to production code: concurrency, connection management, caching, backpressure, and retry/timeout behavior.
Drive tail-latency (P90/P99) optimization, including tail amplification and cross-CSP variability.
Own error budgets and performance SLOs, partnering with engineering leadership to defend them.
Design and build load-generation, benchmarking, and failure-injection infrastructure reflecting real enterprise traffic - nothing off-the-shelf fits a multi-CSP topology.
Integrate automated performance-regression detection into CI/CD.
Design telemetry instrumentation (New Relic or equivalent), internal dashboards, alerting logic, and anomaly-detection heuristics.
Model and forecast capacity for multi-CSP API traffic, including peak-load behavior and regional variability.
Lead post-incident reviews that produce architectural fixes, not just timelines.

What You Bring

5+ years building and operating production backend services in Go, Java, Python, or Node. You will read, profile, and fix production code, not report on it.
Strong distributed-systems fundamentals: concurrency, backpressure, caching strategies, and failure modes.
Deep understanding of HTTP/REST API performance: connection pooling, retries, timeouts, and cross-network latency behavior.
Hands-on profiling experience: eBPF-based profilers, flame graph analysis, CPU/memory profilers.
Production observability experience (New Relic, Datadog, or similar), including designing instrumentation - not just consuming dashboards.
[Add your core stack here, e.g., Kubernetes, gRPC, Kafka, PostgreSQL, so engineers can self-select.]

✨ Bonus

Experience with high-volume API platforms, telecom integrations, or CSP-facing systems.
SRE background: error budgets, chaos engineering, capacity planning at scale.
Familiarity with CAMARA or other open telecom API standards.

You Might Be a Fit If…

You get genuinely excited when a flame graph reveals a 40ms mystery you didn’t expect.
You’ve been the person who gets called when “everything looks fine, but something is clearly wrong.”
You think in terms of tail latency, not averages, and you’ve argued (successfully) why that matters.
You’ve built latency-regression tooling from scratch because nothing off-the-shelf was good enough.
You’ve hunted down performance debt proactively, long before customers felt the pain.

Why This Role Matters

Aduna abstracts global telecom complexity for enterprise developers via open CAMARA standards, delivering predictable, low-latency APIs. Performance isn’t a metric here; it is the product. If you want to own performance at a company where your work is visible, measurable, and foundational, we’d like to meet you.

🌟 Why Join Aduna?

Build technology that impacts millions
Work with passionate, global teams
Growth in a fast-moving, innovative environment

Our Offer:

Hybrid model (3 days in our Montréal office)
Competitive salary + full benefits (dental, medical, RRSP/DPSP)
Unlimited PTO
High ownership, collaboration, and room to grow

📄 By applying, you consent to the processing of your personal data for recruitment purposes.

🔗 Privacy notice: https://www.adunaglobal.com/privacy-notice/

Aduna is committed to a diverse and inclusive workplace.

-------------------------------

Tous ensemble, extraordinaires

Read the full bilingual original

All Together, Extraordinary

www.adunaglobal.com

What This Role Is (and Is Not)

What You’ll Do

Profile and root-cause performance issues in production across backend services, API gateway layers, and CSP integration paths, using flame graphs, distributed tracing, eBPF-based tooling, and low-level instrumentation.

Ship performance fixes to production code: concurrency, connection management, caching, backpressure, and retry/timeout behavior.
Drive tail-latency (P90/P99) optimization, including tail amplification and cross-CSP variability.
Own error budgets and performance SLOs, partnering with engineering leadership to defend them.
Design and build load-generation, benchmarking, and failure-injection infrastructure reflecting real enterprise traffic - nothing off-the-shelf fits a multi-CSP topology.
Integrate automated performance-regression detection into CI/CD.
Design telemetry instrumentation (New Relic or equivalent), internal dashboards, alerting logic, and anomaly-detection heuristics.
Model and forecast capacity for multi-CSP API traffic, including peak-load behavior and regional variability.
Lead post-incident reviews that produce architectural fixes, not just timelines.

What You Bring

5+ years building and operating production backend services in Go, Java, Python, or Node. You will read, profile, and fix production code, not report on it.
Strong distributed-systems fundamentals: concurrency, backpressure, caching strategies, and failure modes.
Deep understanding of HTTP/REST API performance: connection pooling, retries, timeouts, and cross-network latency behavior.
Hands-on profiling experience: eBPF-based profilers, flame graph analysis, CPU/memory profilers.
Production observability experience (New Relic, Datadog, or similar), including designing instrumentation - not just consuming dashboards.
[Add your core stack here, e.g., Kubernetes, gRPC, Kafka, PostgreSQL, so engineers can self-select.]

✨ Bonus

Experience with high-volume API platforms, telecom integrations, or CSP-facing systems.
SRE background: error budgets, chaos engineering, capacity planning at scale.
Familiarity with CAMARA or other open telecom API standards.

You Might Be a Fit If…

You get genuinely excited when a flame graph reveals a 40ms mystery you didn’t expect.
You’ve been the person who gets called when “everything looks fine, but something is clearly wrong.”
You think in terms of tail latency, not averages, and you’ve argued (successfully) why that matters.
You’ve built latency-regression tooling from scratch because nothing off-the-shelf was good enough.
You’ve hunted down performance debt proactively, long before customers felt the pain.

Why This Role Matters

🌟 Why Join Aduna?

Build technology that impacts millions
Work with passionate, global teams
Growth in a fast-moving, innovative environment

Our Offer:

Hybrid model (3 days in our Montréal office)
Competitive salary + full benefits (dental, medical, RRSP/DPSP)
Unlimited PTO
High ownership, collaboration, and room to grow

📄 By applying, you consent to the processing of your personal data for recruitment purposes.

🔗 Privacy notice: https://www.adunaglobal.com/privacy-notice/

Aduna is committed to a diverse and inclusive workplace.

-------------------------------

Tous ensemble, extraordinaires

Aduna Global normalise et proxifie les APIs réseau CAMARA auprès de multiples CSPs à l’échelle mondiale. Pour nos clients enterprise, latence, débit et taux d’erreur ne sont pas des agréments - ils sont la proposition de valeur. Nous recrutons un(e) ingénieur(e) backend senior pour prendre en charge la performance en production: profiler des systèmes distribués, déployer des corrections et maintenir une plateforme multi-CSP rapide et prévisible au P99.

Ce que ce rôle est (et n’est pas)

Il s’agit d’un rôle d’ingénierie logicielle, non d’assurance qualité. Vous travaillerez directement dans le code de production : profiler et modifier des services backend, prendre en charge les corrections de bout en bout. Si vous avez déployé du code en production et êtes la personne appelée quand « tout semble normal, mais quelque chose ne va pas », lisez la suite.

Ce que vous ferez

Profiler et analyser en profondeur les problèmes de performance en production à travers les services backend, les couches de passerelle API et les chemins d’intégration CSP, en utilisant des flame graphs, le tracing distribué, des outils basés sur eBPF et une instrumentation de bas niveau.
Déployer des correctifs de performance dans le code de production : concurrence, gestion des connexions, mise en cache, contre-pression, et comportement des mécanismes de retry/timeout.
Piloter l’optimisation de la latence de queue (P90/P99), notamment l’amplification de queue et la variabilité inter-CSP.
Gérer les budgets d’erreur et les SLOs de performance, en partenariat avec la direction technique pour les défendre.
Concevoir une infrastructure de benchmarking et d’injection de défaillances reflétant le trafic enterprise réel - aucune solution clé en main ne convient à une topologie multi-CSP.
Intégrer la détection automatique de régression de performance dans le CI/CD.
Concevoir l’instrumentation de télémétrie (New Relic ou équivalent), les tableaux de bord internes, la logique d’alerting et les heuristiques de détection d’anomalies.
Modéliser et prévoir la capacité pour le trafic API multi-CSP, notamment le comportement en pic de charge et la variabilité régionale.
Piloter les post-mortems pour produire des correctifs architecturaux durables, pas de simples chronologies.

Ce que vous apportez

5+ ans dans la création et l’exploitation de services backend en production en Go, Java, Python ou Node. Vous lirez, profilerez et corrigerez du code de production - pas seulement en rendrez compte.
Solides fondamentaux en systèmes distribués : concurrence, contre-pression, stratégies de mise en cache et modes de défaillance.
Compréhension approfondie des performances des APIs HTTP/REST : pooling de connexions, retries, timeouts et comportement de la latence inter-réseau.
Expérience pratique du profiling : profileurs basés sur eBPF, analyse de flame graphs, profileurs CPU/mémoire.
Expérience de l’observabilité en production (New Relic, Datadog ou similaire), y compris la conception de l’instrumentation - pas seulement la consultation de dashboards.
[Ajoutez ici votre stack technique principale, ex. : Kubernetes, gRPC, Kafka, PostgreSQL, afin que les ingénieurs puissent s’auto-sélectionner.]

✨ Bonus

Expérience avec des plateformes API à fort volume, des intégrations télécom ou des systèmes orientés CSP.
Profil SRE : budgets d’erreur, chaos engineering, planification de capacité à grande échelle.
Familiarité avec CAMARA ou d’autres standards ouverts d’APIs télécom.

Vous pourriez être le bon profil si…

Vous ressentez une vraie excitation lorsqu’un flame graph révèle un mystère de 40 ms que vous n’attendiez pas.
Vous avez été la personne appelée quand « tout semble normal, mais quelque chose ne va clairement pas ».
Vous pensez en termes de latence de queue, et non de moyennes - et vous avez su (avec succès) expliquer pourquoi c’est important.
Vous avez construit des outils de détection de régression de latence from scratch parce qu’aucune solution existante n’était suffisante.
Vous avez proactivement traqué la dette de performance, bien avant que les clients ne la ressentent.

Pourquoi ce rôle compte

Aduna abstrait la complexité des télécoms mondiaux pour les développeurs enterprise via les standards CAMARA. La performance n’est pas une métrique ici - c’est le produit. Si vous voulez un travail visible, mesurable et fondamental, nous serions ravis de vous rencontrer.

🌟 Pourquoi rejoindre Aduna?

Construire une technologie qui impacte des millions de personnes
Travailler avec des équipes passionnées et internationales
Évoluer dans un environnement innovant et en croissance rapide

Notre offre:

Modèle hybride (3 jours au bureau de Montréal)
Salaire compétitif + avantages complets (dentaire, médical, REER/RPDB)
Congés illimités
Forte autonomie, collaboration et perspectives d’évolution

📄 En postulant, vous consentez au traitement de vos données personnelles à des fins de recrutement.

🔗 Avis de confidentialité: https://www.adunaglobal.com/privacy-notice/

Aduna s’engage en faveur d’un milieu de travail diversifié et inclusif.

\n\n

Apply on jobs.lever.co About employer

More about this job

Responsibilities

You will profile and optimize backend services to ensure high performance and low latency in a multi-CSP production environment. This involves designing load-generation infrastructure, managing error budgets, and shipping architectural fixes for performance bottlenecks.

Requirements

Candidates must have 5+ years of experience building and operating production backend services with strong knowledge of distributed systems and HTTP/REST performance. Proficiency in profiling tools like eBPF and experience with observability platforms are essential for this role.

Skills

Go
Java
Python
Node.js
Distributed systems
HTTP/REST API
eBPF
Flame graphs
Observability
New Relic
Datadog
Performance profiling
Capacity planning
SRE
Chaos engineering
CAMARA

Benefits

Dental insurance
Medical insurance
RRSP/DPSP retirement plan
Unlimited PTO

Visa sponsorship

Not detected in the job text

Keywords

Backend Engineering
Performance Engineering
Go
Java
Python
Node.js
Distributed Systems
API Gateway
CSP
CAMARA
eBPF
Flame Graphs
Distributed Tracing
Concurrency
Caching
Backpressure
Tail Latency
SLO
New Relic
Datadog
CI/CD
Capacity Planning
SRE
Chaos Engineering
Production Engineering
Telemetry
HTTP
REST
Latency Optimization
Post-incident Review

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Work requirements

Jobs in Canada