Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.
Engineering | Sydney, Australia | Remote, Remote | Melbourne, Australia | Brisbane, Australia
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.
The Role:
We are hiring a Senior Software Engineer for the Internal Data Platform team, reporting to the team's Senior Engineering Manager. This role suits candidates with experience building data platforms at scale and a passion for solving complex analytical problems with modern technologies.
The successful candidate will have extensive experience in software development, distributed systems, cloud technologies and infrastructure, and ideally in data platforms. Data engineering skills are valuable, but this is primarily a software engineering role.
As part of our team, you will help develop and maintain solutions for Atlassian's data platform, focusing on reliability, scalability and performance. You will have the chance to build a petabyte-scale data lake using vendor, open-source and custom-built technologies. You will collaborate with a diverse team of backend engineers to serve stakeholders ranging from data engineers and data scientists to product managers and senior leadership.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
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.
The Role:
We are hiring a Senior Software Engineer for the Internal Data Platform team, reporting to the team's Senior Engineering Manager. This role suits candidates with experience building data platforms at scale and a passion for solving complex analytical problems with modern technologies.
The successful candidate will have extensive experience in software development, distributed systems, cloud technologies and infrastructure, and ideally in data platforms. Data engineering skills are valuable, but this is primarily a software engineering role.
As part of our team, you will help develop and maintain solutions for Atlassian's data platform, focusing on reliability, scalability and performance. You will have the chance to build a petabyte-scale data lake using vendor, open-source and custom-built technologies. You will collaborate with a diverse team of backend engineers to serve stakeholders ranging from data engineers and data scientists to product managers and senior leadership.
- Design, develop and own the delivery of high-quality data platform and software services to support a petabyte-scale data lake.
- Collaborate with cross-functional teams, senior engineers and architects across multiple disciplines to discuss, design and ship new features.
- Help maintain high code quality through peer reviews and by defining and establishing coding standards, guidelines and best practices within the team.
- Drive improvements in operational excellence, including security, reliability, availability, performance, procedures and processes.
- Use a data-driven approach to inform decisions and design technical solutions.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
- 5+ years of experience in a software engineering role, preferably in the data platform domain.
- A bachelor's or master's degree in computer science or a related discipline.
- Expertise in solving complex distributed systems problems.
- Experience building applications in one or more of the following languages: Kotlin, Scala, Java or Python.
- Strong knowledge of AWS or GCP services.
- Familiarity with cloud architecture patterns and the engineering practices needed to build high-quality, performant, scalable, reliable and highly available software.
- Experience with data processing frameworks and technologies such as Spark, Flink, StarRocks, Databricks, dbt or Airflow.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and lead Atlassian’s APAC implementation practice by hiring and developing delivery teams, leading pre-sales scoping, overseeing enterprise cloud implementations, and ensuring customer outcomes. Own portfolio quality, delivery governance, utilization, capacity, forecasting, margins, and operating discipline. Partner with Sales, Finance, Customer Success, Services Operations, and solution partners to scale implementation offerings across APAC. This player-coach role also involves hands-on customer engagements, technical discovery, and up to 30% regional travel.
Top Skills:
AIAtlassian CloudAutomationConfluenceJIRAJira Service Management
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.
Top Skills:
AWSAzureCi/CdDaskGCPGoGpusJavaJaxLarge Language ModelsMlopsPythonPyTorchRayRetrieval-Augmented GenerationScalaSparkTensorFlow
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design, build, deploy, and operate agentic LLM harnesses powering Rovo AI features. Improve production model quality, reliability, and cost; develop evaluations, datasets, benchmarks, fine-tuning, and model-serving capabilities. Shape long-term LLM engineering direction, lead technical initiatives, influence stakeholders, guide virtual squads, and coach junior engineers.
Top Skills:
KotlinLarge Language ModelsNvidia Triton Inference ServerPythonSQL
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
