Atlassian

2 days ago

Senior Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build and refine core AI & ML platform infrastructure that enables Atlassian teams to develop, deploy, and operate machine learning models and pipelines. Partner with product teams like Jira and Confluence to solve ML solution challenges—curating datasets, fine-tuning open-source LLMs, or integrating proprietary models. Lead technical design through launch, deliver code reviews and documentation, mentor junior engineers, and drive company-wide initiatives across multiple projects.

Location: Seattle, San Francisco, Sydney

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Develop and refine AI & ML platform infrastructure for creating, training, evaluating, deploying, and managing ML models and pipelines.
•Collaborate with product teams (e.g., Jira and Confluence) to address ML solution challenges, including dataset curation and LLM fine-tuning.
•Lead projects from technical design through launch, partnering with stakeholders across teams.
•Perform code reviews, documentation, and bug fixes as part of a strong engineering culture.
•Mentor junior members and partner across engineering teams on company-wide initiatives spanning multiple projects.

Pay and Benefits

Salary: USD 149,400 - 235,000

Equity and Bonus:Equity

Key Requirements

•5+ years building machine learning and AI infra/platform/system.
•Proven end-to-end ML lifecycle experience, from data engineering through model serving and monitoring.
•Extensive experience designing and building scalable, fault-tolerant, high-performance distributed systems for ML.
•Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring.
•Expert proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX (with familiarity in Go, Java, or Scala beneficial).

Experience:5+ yearsArtificial intelligenceMachine learningMLOpsDistributed systemsGenAI

Skills:Problem-solvingTechnical leadershipMentoringCollaborationDocumentation

Tech Stack:PythonPyTorchTensorFlowJAXGoJavaScalaAWSGCPAzureGPUsSparkRayDaskLLMsRAGCI/CDMachine learningData engineeringModel serving

Company Brief

Atlassian

Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sydney, Australia

Founded: 2002

Glassdoor: 3.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Atlassian

2 days ago

Senior Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Seattle, San Francisco, Sydney

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Develop and refine AI & ML platform infrastructure for creating, training, evaluating, deploying, and managing ML models and pipelines.
•Collaborate with product teams (e.g., Jira and Confluence) to address ML solution challenges, including dataset curation and LLM fine-tuning.
•Lead projects from technical design through launch, partnering with stakeholders across teams.
•Perform code reviews, documentation, and bug fixes as part of a strong engineering culture.
•Mentor junior members and partner across engineering teams on company-wide initiatives spanning multiple projects.

Pay and Benefits

Salary: USD 149,400 - 235,000

Equity and Bonus:Equity

Key Requirements

•5+ years building machine learning and AI infra/platform/system.
•Proven end-to-end ML lifecycle experience, from data engineering through model serving and monitoring.
•Extensive experience designing and building scalable, fault-tolerant, high-performance distributed systems for ML.
•Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring.
•Expert proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX (with familiarity in Go, Java, or Scala beneficial).

Experience:5+ yearsArtificial intelligenceMachine learningMLOpsDistributed systemsGenAI

Skills:Problem-solvingTechnical leadershipMentoringCollaborationDocumentation

Tech Stack:PythonPyTorchTensorFlowJAXGoJavaScalaAWSGCPAzureGPUsSparkRayDaskLLMsRAGCI/CDMachine learningData engineeringModel serving

Company Brief

Atlassian

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sydney, Australia

Founded: 2002

Glassdoor: 3.1

Website LinkedIn Glassdoor