Join our team as a Cloud Network Engineer to enhance the availability, performance, and stability of Atlassian's public edge infrastructure. Responsibilities include building, automating, and maintaining cloud infrastructure in AWS, diagnosing and resolving issues in microservices and network services, and utilizing various network technologies like load balancing and monitoring systems.
We are looking for a Strong and Driven Software Engineer in the Transactional Data Platform team. TDP is a Storage Platform that provides abstracted data stores to Atlassian services as an platform offering while providing compliance and optimisations out of the box. If Petabyte scale of data and platform engineering excites you the this role would be a good fit.
- Drive large, complex projects autonomously, from technical design to launch
- Tackle complex architecture challenges, apply architectural standards and start using them on new projects
- Lead code reviews and documentation, as well as take on complex bug fixes, especially on high-risk problems
- Be an example for thorough, meaningful code reviews
- Partner across engineering teams to tackle company-wide initiatives spanning multiple projects
- Transfer your depth of knowledge from your current language to excel as a Java developer
- Mentor junior members of the team
- 3+ years experience building and developing backend applications.
- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).
- Strong experience with JVM languages such as Java/Kotlin is required. Experience in Springboot is desirable.
- Hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure).
- Fluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra).
- Experience crafting and implementing well-tested, highly scalable and performant micro-services and/or other distributed systems.
- Practical knowledge of agile software development methodologies (e.g., XP, scrum).
- Knowledge to evaluate trade-offs between correctness, robustness, performance, space and time.
- Practice in mentoring other engineers and influencing decision makers throughout the organization.
- Considers the customer impact when making technical decisions.
Top Skills
Python
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