Publié il y a 16 mois
Senior Software Engineer - Backend
@ Databricks
Vancouver, Colombie-Britannique
En bref
Databricks is hiring a Senior Software Engineer for backend work on its data and AI platform. The role involves designing, building and operating scalable distributed systems, owning complex projects and mentoring engineers. Canada pay range is $146,200 to $201,100 CAD.
Responsabilités :
- Design, build and operate scalable distributed systems for the platform
- Own complex technical projects from design through production
- Drive technical decisions and architectural direction
- Identify and resolve performance and reliability issues
- Mentor engineers and elevate team practices
Résumé des exigences :
- 5+ years of software engineering experience
- Large-scale distributed systems in production
- Java, Scala, C++ or Go
- Cloud technologies such as AWS, Azure, GCP, Docker or Kubernetes
- Strong communication skills across teams
- B.S. in Computer Science or equivalent practical experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2025-07-25
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-11-03
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 | 5 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (préféré) |
| Domaines d’études | Computer Science, Engineering |
| Avantages mentionnés | Prime de rendement, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Databricks
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.
Description complète de l’entreprise
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Abonnés LinkedIn
- 975 210
- Personnes associées sur LinkedIn
- 11 901
- Bureaux déclarés
- 160 Spear Street, 13th Floor, San Francisco, CA 94105, US
- Fora 22 Berners Street, London, England W1T 3LP, GB
- Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL
- 11 W 42nd St, 30th Floor, New York, NY 10036, US
- 120 Adelaide St W, Toronto, Ontario M5H, CA
- 109 North Bridge Road, Singapore, 179097, SG
- 2033 6th Ave, Suite 600, Seattle, WA 98121, US
- 100 W Evelyn Ave, Suite 210, Mountain View, California 94041, US
- 1660 International Drive, Suite 600, McLean, VA 22102, US
- 7300 Lone Star Dr, Plano, Texas 75024, US
- 500 108th Ave NE, Suite 1100, Bellevue, Washington 98004, US
- 1 Lincoln Street, Office 26-115, Boston, MA 02111, US
- 2120 University Ave, Suite 722, Berkeley, California 94704, US
- Techspace Köpenicker, Straße 40-41, Berlin, Germany 10179, DE
- Herzogspitalstraße 24, Munich, Bavaria 80331, DE
- 35-37, Rue Beaubourg, Paris, Île-de-France 75003, FR
- 1 Chome-4-5 Roppongi, Minato City, Tokyo 106-0032, JP
- 66 King Street, Sydney, NSW 2000, AU
- 222 Exhibition St, Melbourne, Victoria 3000, AU
- No. 78/9, Outer Ring Rd, Bengaluru, Karnataka 560103, IN
- Catégories d’activité
- Data Storage
- Information Technology
- Data Integration
- Artificial Intelligence
- Software
- Data Management
- Venture Capital
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Databricks
- Spécialités
- Apache Spark
- Apache Spark Training
- Cloud Computing
- Big Data
- Data Science
- Delta Lake
- Data Lakehouse
- MLflow
- Machine Learning
- Data Engineering
- Data Warehousing
- Data Streaming
- Open Source
- Generative AI
- Artificial Intelligence
- Data Intelligence
- Data Management
- Data Goverance
- Generative AI
- and AI/ML Ops
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 27 246 939 324
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 5,001-10,000 employees |
| Siège social | San Francisco, CA |
| Type d’organisation | Privately Held |
| Spécialités | Apache SparkApache Spark TrainingCloud ComputingBig DataData ScienceDelta LakeData LakehouseMLflowMachine LearningData Engineering |
| Offres sur Jobsy | 28 |
| Voir la page |
P-1440
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
The Impact You Will Have
- Design, build, and operate scalable distributed systems that power the Databricks platform
- Take ownership of complex technical projects from design through delivery and production operation
- Drive technical decisions within your team and contribute to architectural direction
- Identify and resolve performance bottlenecks and reliability issues proactively
- Mentor engineers and elevate team engineering practices
- Collaborate across teams to deliver high-impact features and improvements
What We Look For
- 5+ years of software engineering experience
- Experience designing, building, and operating large-scale distributed systems in production environments
- Experience with one or more programming languages including Java, Scala, C++, or Go
- Strong understanding of data structures, algorithms, and system design principles
- Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes
- Experience working on SaaS platforms or with service-oriented architectures
- Experience with software security and systems that handle sensitive data
- Strong communication skills and ability to work effectively across teams
- B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Canada Pay Range
$146,200—$201,100 CAD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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