Atlassian is hiring a Software Engineer for its Core Engineering – KubePlatform (KubePlat) team! This opportunity is aimed at engineers with hands-on experience in Kubernetes, cloud infrastructure, platform engineering, AWS and GCP. The role focuses on building the foundational infrastructure that supports Atlassian’s global cloud services. If you have experience developing reliable infrastructure platforms, working with Kubernetes control planes, and designing scalable cloud systems, this position could be an exciting next step in your engineering career.
📌 Job Details
- 🏢 Company: Atlassian
- 💼 Position: Software Engineer
- 🆔 Job ID: IDREQ-2026-2466
- 🏷️ Category: Engineering
- 🌍 Location: Remote – India
- 🧩 Team: Core Engineering – KubePlatform (KubePlat)
- ☸️ Primary Skills: Kubernetes, Cloud Infrastructure, Platform Engineering
- ☁️ Cloud Platforms: AWS, GCP
- 🏗️ Focus Areas: Kubernetes control plane, multi-cloud infrastructure, cell-based architecture
- 💻 Work Type: Software Engineering / Infrastructure Engineering
🏢 About Atlassian
Atlassian is a global software company whose products include Jira, Confluence, Bitbucket and Loom. Its tools help teams collaborate, manage projects, share knowledge and build software across organizations worldwide. The company’s Core Engineering organization develops the foundational technology that supports its cloud services. Within this organization, the KubePlatform team focuses on reliable, scalable Kubernetes infrastructure, including control planes, CI/CD systems and artifact pipelines. This makes the position different from a typical application-development role. Engineers contribute to the platform infrastructure that enables other engineering teams to build and operate cloud services reliably.
⭐ Why Is This Role Good for Your Experience?
- ☸️ Advanced Kubernetes Experience: Work on control-plane components and foundational compute infrastructure.
- ☁️ Multi-Cloud Engineering: Develop experience across AWS, GCP and specialized environments such as FedRAMP.
- 🏗️ Platform Engineering: Understand how internal platforms simplify infrastructure management and improve developer productivity.
- 🛡️ Reliability Engineering: Learn how self-healing systems, fault isolation and resilient architecture support production services.
- 📈 Career Growth: Build skills relevant to Senior Software Engineer, Platform Engineer, Cloud Infrastructure Engineer and Kubernetes Specialist positions.
🎯 Expected Interview Rounds at Atlassian
- 📝 Round 1 – Recruiter Screening: Discuss your experience, infrastructure projects, cloud expertise, location and interest in the role.
- 💻 Round 2 – Coding Interview: Practise data structures, algorithms, problem-solving and writing clean, maintainable code in your strongest supported programming language.
- ☸️ Round 3 – Kubernetes and Infrastructure: Prepare Kubernetes architecture, control-plane components, scheduling, networking, storage, upgrades and troubleshooting.
- 🏗️ Round 4 – System Design: Design scalable infrastructure platforms, discuss multi-cloud deployment, failure isolation, availability and cell-based architecture.
- 🤝 Round 5 – Engineering/Behavioural Discussion: Explain technical decisions, production incidents, collaboration, ownership and how you approach ambiguous engineering problems.
- 👔 Final Discussion: Discuss team alignment, compensation, availability and other employment details. These are preparation guidelines, not confirmed interview rounds for IDREQ-2026-2466.
💰 Expected Salary Range
Atlassian has not specified the salary for this opening in the supplied job description. As a broad, indicative estimate for experienced software and infrastructure engineers in India, compensation could fall around ₹25–55 LPA or higher, depending on level, interview performance and the overall compensation structure. This is not an official Atlassian salary band. Actual compensation may include fixed pay, variable components and equity, so candidates should confirm the details with the recruiter.
🧠 Preparation Tips
- ☸️ Master Kubernetes Internals: Understand API servers, etcd, schedulers, controllers, reconciliation loops, control-plane availability and cluster upgrades.
- ☁️ Revise AWS and GCP: Study compute, networking, identity and access management, load balancing, storage and managed Kubernetes services.
- 🏗️ Understand Cell-Based Architecture: Learn how dividing systems into isolated cells can limit failure impact and improve scalability.
- 🔄 Study CI/CD and Artifact Pipelines: Prepare build automation, artifact versioning, deployment strategies, rollback and release reliability.
- 🛠️ Practise Troubleshooting: Explain how you would investigate failed pods, scheduling issues, network failures, resource pressure and unhealthy control-plane components.
- 🧩 Prepare System Design: Practise designing a multi-region Kubernetes platform with workload isolation, observability, capacity management and disaster recovery.
- 💻 Strengthen Coding: Revise algorithms, data structures, concurrency and clean-code principles. Go, Python or another relevant language may be useful depending on the team’s expectations.
- 📊 Use Real Examples: Prepare a project where you improved platform reliability, automated infrastructure or resolved a complex production issue.
🛠️ Skills Required
- Kubernetes architecture and operations
- Cloud infrastructure: AWS and GCP
- Platform engineering and distributed systems
- Kubernetes control-plane fundamentals
- Cell-based architecture and fault isolation
- CI/CD and artifact management
- Infrastructure automation and scripting
- Networking, storage and cloud security
- System design and software engineering principles
- Monitoring, observability and incident troubleshooting
- Scalability, availability and resilience engineering
📄 Resume Tips for This Role
Tailor your resume toward platform engineering and infrastructure software development, rather than presenting yourself solely as a cloud administrator.
- 📌 Highlight Kubernetes projects involving control-plane operations, cluster reliability, networking or workload scheduling.
- ☁️ Name the AWS and GCP services you have actually used and explain how you applied them.
- 📈 Quantify results, such as reduced deployment time, improved service availability or lower infrastructure costs.
- 🛠️ Include automation, programming, CI/CD, observability and production troubleshooting experience.
- 🧠 Describe architecture decisions and the engineering trade-offs you handled.
- 📂 Prepare to explain every major project and your personal contribution during technical interviews.
📩 How to Apply
👉 Application Link: Click Here
Interested candidates should apply through Atlassian’s official recruitment process for Software Engineer – Job ID IDREQ-2026-2466. Search using the exact job ID to locate the matching requisition, and verify that it is still accepting applications before submitting your resume. 🚀 If Kubernetes, multi-cloud infrastructure and large-scale platform engineering are your strengths, this Atlassian opportunity could be an excellent step toward building globally scalable cloud systems.
