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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the development and implementation of advanced machine learning algorithms, collaborate with teams, and ensure AI's integration across Atlassian products.
Top Skills:
KerasMlopsNumpyPandasPythonPyTorchRestful MicroservicesSci-Kit-LearnTensorFlow
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design and implement backend systems for cloud transition initiatives, collaborating with cross-functional teams and ensuring best practices are followed.
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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and execute sales strategies for Jira Service Management in India, ensuring customer satisfaction, and collaborating with various teams to meet sales targets.
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Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
- Partner with Data Science, Product Manager, Analytics, and Business teams to review and gather the data/reporting/analytics requirements and build trusted and scalable data models, data extraction processes, and data applications to help answer complex questions.
- Design and implement data pipelines to ETL data from multiple sources into a central data warehouse.
- Design and implement real-time data processing pipelines using Apache Spark Streaming.
- Improve data quality by leveraging internal tools/frameworks to automatically detect and mitigate data quality issues.
- Develop and implement data governance procedures to ensure data security, privacy, and compliance.
- Implement new technologies to improve data processing and analysis.
- Coach and mentor junior data engineers to enhance their skills and foster a collaborative team environment.
- A BE in Computer Science or equivalent with 8+ years of professional experience as a Data Engineer or in a similar role
- Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.
- Experience with Databricks and its APIs.
- Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
- Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
- Champion automated builds and deployments using CICD tools like Bitbucket, Git
- Experience working with large-scale, high-performance data processing systems (batch and streaming)
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal