Senior AI Data Engineer

Deliver data solutions on AWS.

Migrate and optimize relational databases.

Build scalable and efficient data pipelines.

Manage end-to-end data infrastructure for analytics.

Develop and maintain backend systems.

Collaborate with front-end engineers on API design.

Join a remote team focused on autonomy and communication.

Contribute to a polyglot, multi-repo ecosystem.

Lead project-based teams on client engagements.

Serve as primary architect and technical lead.

Develop high-quality software solutions for e-commerce.

Mentor junior engineers and promote coding best practices.

Lead a team of developers in AWS environments.

Continuously improve AWS-based solutions for clients.

Lead the architecture for Phone Numbers Platform.

Utilize AI to streamline coding processes.

Design and build enhancements for the investment screening and fraud platform.

Manage the end-to-end software development lifecycle.

Lead backend development using Node.js and TypeScript.

Design and maintain data-source integrations with a privacy focus.

Architect enterprise cloud solutions using AWS.

Migrate workloads from on-prem to AWS.

Architect enterprise-grade cloud solutions.

Define cloud landing zones and reference architectures.

Build and optimize data pipelines.

Lead development of internal data applications.

Design and build enhancements for the investment screening and fraud platform.

Manage the end-to-end software development lifecycle.

Design and implement data products for analytics.

Transform raw data into actionable insights.

Design and maintain GitLab CI/CD pipelines.

Develop Docker environments for various stages.

Design and maintain MLOps pipelines.

Automate machine learning workflows.

Design and implement data pipelines.

Build secure data warehousing solutions.

Protect the seller funnel from fraud and abuse.

Enhance seller onboarding and education.

Own model evaluation processes end-to-end.

Build and maintain benchmarking pipelines.

Design and maintain scalable datasets.

Improve data pipelines with Marketing Analytics and BI.

Design scalable data pipelines for CS.

Develop data models for reporting and ML.

Lead a team of 25 engineers across product teams.

Define AI-first engineering standards and workflows.

Own AI platform architecture and APIs.

Lead build-vs-buy decisions for AI components.

Manage and optimize LMS and integrations.

Architect and monitor data pipelines.

Design and ship AI features end-to-end.

Build backend services for AI integrations.

Optimize the data backend using Snowflake.

Create effective data models and pipelines.

Identify and build high-leverage opportunities.

Prototype and ship solutions with cross-functional teams.

Design scalable APIs using Go.

Enforce coding and testing best practices.

Define product strategy for Activation suite.

Collaborate with engineering teams on campaign management.

Design and develop scalable data models for analytics.

Collaborate with cross-functional teams for insights.

Build SQL views and scoring models in Snowflake.

Maintain and update Tableau dashboards for data visualization.

Atlassian is hiring a Data Engineer Intern for Summer 2026.

The position is remote and available to candidates in Australia.

Design and develop automated test frameworks.

Write maintainable code in Java, TypeScript, or Python.

Develop cloud data processing solutions.

Collaborate with teams on Microsoft technologies.

Ensure data accuracy and reliability.

Collaborate with stakeholders on data issues.

Optimize the data backend using Snowflake.

Create effective data models and pipelines.

Build scalable analytics pipelines.

Utilize modern data technologies.

Build scalable analytics pipelines.

Collaborate with teams on data architecture.

Design scalable APIs using Go.

Enforce coding and testing best practices.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Develop and enhance LLVM and Clang based toolchain components

Collaborate with LLVM community for continuous integration

Hiring experienced Compiler Engineers for LLVM and Clang toolchain development

Responsibilities include analyzing requirements, designing, and collaborating with the LLVM community

Enhance and maintain LLVM/Clang-based toolchains

Support and optimize code for diverse platforms

Conduct security testing on mobile and web applications

Identify and document vulnerabilities in digital banking platforms

Ensure security of mobile and web banking applications

Identify and document vulnerabilities through penetration testing

Enhance and implement LLVM toolchain components

Extend open source compilers for new platforms

Seek experienced Compiler Engineers for LLVM and Clang toolchain

Collaborate with LLVM community and contribute to public repositories

Enhance and implement components of the LLVM toolchain

Extend open source LLVM and Clang code bases

- Enhance and implement toolchain components - Extend LLVM and Clang for client platforms -

ate with LLVM community - Analyze, build, and debug platform code - Develop and maintain target