Senior Software Engineer
Job Description
Overview
At Atlassian, we are on a mission to unleash the potential of every team. Our products—including Jira, Confluence, Bitbucket, and Loom—power collaboration for millions of users worldwide.
Within Core Engineering, the KubePlatform (KubePlat) team builds and scales the foundational compute platform that powers Atlassian's global cloud services. Our mission is to provide an enterprise-grade, highly reliable, and self-healing infrastructure layer spanning compute, Kubernetes control planes, CI/CD, and artifact pipelines.
Responsibilities
At Atlassian, we are on a mission to unleash the potential of every team. Our products—including Jira, Confluence, Bitbucket, and Loom—power collaboration for millions of users worldwide.
Within Core Engineering, the KubePlatform (KubePlat) team builds and scales the foundational compute platform that powers Atlassian's global cloud services. Our mission is to provide an enterprise-grade, highly reliable, and self-healing infrastructure layer spanning compute, Kubernetes control planes, CI/CD, and artifact pipelines.
Responsibilities
- Kubernetes Control Plane: Design and develop core components of Atlassian's Kubernetes control plane platform.
- Multi-Cloud Enablement: Contribute to multi-cloud infrastructure initiatives across AWS, GCP, Oasis, and FedRAMP.
- Cell-Based Architecture: Drive the adoption of cell-based architecture to deliver reliable, highly scalable Kubernetes infrastructure.
- Core Technical Skills: Strong hands-on experience with Kubernetes, Cloud Infrastructure, Platform Engineering, and Core Engineering principles.
- Cloud & Infrastructure: Practical experience across cloud platforms (AWS, GCP).
More Info
Key Skills
About Company
Skills:
Abinitio, Pyspark, AWS Glue, Microservices, Gcp, Containers, Rest Apis, Azure, Kubernetes, Etl, AWS, Monitoring, Production Support, CI/CD
Skills:
containerization , Kibana, Elk, Phoenix, Prometheus, Grafana, Docker, Gpfs, Pure Storage, Ceph, Python, AWS, Gcp, Netapp, Restful Apis, Azure, Kubernetes, GenAI agentic application frameworks, S3-compatible object storage, Go, LangSmith, Weave, LangChain, Enterprise NAS, Observability platforms, Distributed filesystems, lustre, Arize, AutoGen, Linux storage systems, LlamaIndex
Skills:
Site Reliability Engineering (SRE), Incident Response, AI-powered reliability systems, Production-quality code, Architectural standards, Generative AI use cases, Rollback strategies, Automated remediation, Kill switches, performance metrics, Technical support, Approval workflows, Deterministic engineering, Reusable tools and interfaces, Escalation Management, Fail-closed controls, Incident Investigation, Platform engineering, Fault-injection benchmarks, Evaluation frameworks, Blast-radius limitations
Skills:
Apache Spark, Sql, AWS, Automation Tools, Python, Gcp, AI techniques, Spark History Server, Spark UI