Publié il y a 4 mois
Senior Software Engineer - Streaming AI (Remote - Ontario / British Columbia)
@ Confluent
Ontario · British Columbia
En bref
Confluent is hiring a Senior Software Engineer for its Streaming AI team to build the infrastructure that runs AI and machine learning inference directly on real-time data in Confluent Cloud. The work covers large-scale distributed systems, serving layers and reliability across AWS, Azure and GCP. The role is full-time and remote within Ontario or British Columbia.
Salaire :
144 200 $–169 400 $ par année
Responsabilités :
- Design and operate large-scale, high-performance infrastructure for Confluent Cloud
- Build foundational software for reliability, scalability and efficiency
- Work on consensus, failover and resource allocation challenges
- Collaborate across teams to optimize real-time data streaming infrastructure
- Troubleshoot reliability and performance across AWS, Azure and GCP
Résumé des exigences :
- 2-5 years designing and supporting backend systems in production
- Strong fundamentals in distributed systems, cloud infrastructure and networking
- Experience building and operating high-availability systems
- Proficiency in Java, Scala, C++, Go or other statically typed languages
- BS, MS or PhD in computer science or equivalent work experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-07-14
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 2 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré) |
| Domaines d’études | Computer Science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Confluent
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The World's Data Streaming Platform
Description complète de l’entreprise
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion --- designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.
- Abonnés LinkedIn
- 687 832
- Personnes associées sur LinkedIn
- 3 576
- Bureaux déclarés
- 899 W. Evelyn Ave, Mountain View, California 94041, US
- 11921 Freedom Dr, Suite 550, Reston, Virginia 20190, US
- Arjan Office Tower, Unit 402, 403, Level 4, Media City, Dubai, AE
- Carrer de Sardenya, 229, 2nd Floor, Barcelona, Catalonia 08013, ES
- 8 Temasek Boulevard, #16-01, 16th floor, Downtown Core, Central Region 038988, SG
- 262 High Holborn, 1st Floor, London, England WC1V 6JJ, GB
- 9th Floor, Etamin Block, Wing B, Prestige Tech Park, ORR, Kadubeesanahalli, Bengaluru,, Karnataka 560103, IN
- Catégories d’activité
- Software
- Enterprise Software
- SaaS
- Analytics
- Cloud Data Services
- Open Source
- Autres noms enregistrés
- Confluent
- Confluent, an IBM Company
- Spécialités
- Apache Kafka
- Open Source
- Stream Processing
- Streaming Data
- Event Streaming Platform
- and Event-Driven Architecture
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 459 600 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion --- designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 1,001-5,000 employees |
| Siège social | Mountain View, California |
| Type d’organisation | Public Company |
| Fondée en | 2014 |
| Spécialités | Apache KafkaOpen SourceStream ProcessingStreaming DataEvent Streaming Platformand Event-Driven Architecture |
| Offres sur Jobsy | 4 |
| Voir la page |
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
About the Team:
We're a small, focused engineering team building the AI capabilities of Confluent Cloud. Our job is to make it possible to run machine learning and AI agents directly on real-time data — without customers having to stitch together a separate stack to do it. We own our products end to end, from the user-facing API down to the serving layer that runs inference in production, and we work closely with the broader platform teams whose systems we build on top of. It's a high-ownership, high-autonomy environment: small enough that what you build ships and matters, broad enough that the problems are genuinely hard.
About the Role:
As a Software Engineer on the AI team, you will take ownership of the infrastructure that enables our "in-place, at-scale" AI value proposition. You aren't just building a feature; you are architecting the systems that allow customers to run complex inference and AI agents directly on streaming data, eliminating the need to move data to external stacks. This is a high-impact role where your work on scalable, cost-efficient serving layers directly drives Confluent's growth and redefines the possibilities of real-time data.
We are looking for engineers who thrive on the technical complexity of large-scale distributed systems. You will tackle deep infrastructure challenges across networking, compute, and security to ensure our AI capabilities are as reliable as the core data plane itself. If you are passionate about building the foundational systems that power the next generation of AI in the cloud, this is the place to do it.
What You Will Do:
Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud.
Build foundational software to improve reliability, scalability, and efficiency across cloud environments.
Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation.
Collaborate with teams across Confluent to optimize and enhance infrastructure for real-time data streaming use cases.
Troubleshoot and improve system reliability, observability, and performance across multiple cloud providers (AWS, Azure, GCP).
What You Will Bring:
2-5 years of industry experience designing, building, and supporting backend systems in production.
Strong fundamentals in distributed systems, cloud infrastructure, and networking.
Experience in building and operating large-scale, high-availability systems.
Good understanding of cloud platforms (AWS, Azure, or GCP) and their services.
Proficiency in Java, Scala, C++, Go, or other statically typed languages.
A self-starter with strong problem-solving skills and the ability to work in a fast-paced environment.
BS, MS, or PhD in computer science or a related field, or equivalent work experience.
What Gives You an Edge:
Exposure to model serving, LLM/agent infrastructure, or streaming data systems.
Note - You don't need a background in ML research or model training — this role is about building and operating the platform that serves AI reliably at scale, not inventing the models.
Ready to build what's next? Let’s get in motion.
Come As You Are
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
Privacy Statement
Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.
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