
Senior Principal Engineer Core Data Platform
Full time @Atlassian posted 5 days ago in Information Technology (IT) Shortlist Email JobJob Detail
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Job ID 25096
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Experience 5 Years
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Qualifications Degree Bachelor
Job Description
What’s the Senior Principal Engineer role? As an engineer well into your career, we know you’re an expert at what you do and have a breadth of experience across multiple backend technologies. You take pride in working across departments to deliver transformational solutions that scale an entire company. You enjoy working with other Principals and more junior members look up to and sharing your expertise with others… That’s why we’re placing a heavy emphasis on leaning on your expertise to take on a high level of responsibility while being a role model and mentor to others on the team.
Collaborate with partner teams and internal customers to help define technical direction and OKRs for the Core Data platform organization.
Regularly tackle the largest and most complex problems on the team, from technical design to implementation and launch
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Routinely tackle complex architecture challenges and apply architectural standards and start using them on new projects
Work across senior engineering and product leaders to build strategy and design solutions to earn customers trust and business
Own key OKRs and end-to-end outcomes of critical projects in a microservices environment
Champion best practices and innovative techniques for scalability, reliability, and performance optimizations.
Own engineering and operational excellence for the health of our systems and processes. Proactively .
Basic Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
12+ years of experience in backend software development, with a focus on distributed systems and large-scale storage solutions.
8+ years of experience designing and managing highly available, large-scale storage architectures in cloud environments.
5+ years of hands-on experience working with AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB).
Proficiency in system design, performance optimization, and cost-efficient architecture for exabyte-scale storage.
Expertise in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python).
Experience leading technical strategy and architectural decisions in large, multi-team engineering organizations.
Strong understanding of distributed systems principles, including consistency models, replication, sharding, and consensus algorithms (Raft, Paxos).
Deep knowledge of security best practices, including encryption, access control (IAM), and compliance standards (SOC2, GDPR, HIPAA).
Experience mentoring senior engineers and driving high-impact engineering initiatives.
Core Requirements
1. Expertise in Large-Scale Storage Architectures
Deep understanding of AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB).
Experience designing and managing large data size storage systems with high availability and low-latency requirements.
Strong knowledge of storage durability, consistency models, replication strategies, and erasure coding.
2. Strong Background in Distributed Systems
Experience building highly available, fault-tolerant, and scalable distributed storage solutions.
Deep understanding of CAP theorem, consensus algorithms (Raft, Paxos), and quorum-based replication.
Hands-on experience with distributed file systems, object stores, and NoSQL databases.
3. Performance Optimization & Cost Efficiency
Strong experience with data partitioning, sharding, caching strategies (Redis, Memcached), and compression techniques.
Ability to optimize storage retrieval performance, minimize AWS storage costs, and implement lifecycle policies.
Expertise in observability, profiling, and performance tuning in large-scale storage solutions.
4. Deep Experience in Data Integrity, Security & Compliance
Strong knowledge of encryption mechanisms (KMS, HSM), authentication (IAM, STS), and data access policies.
5. Experience with High-Scale Streaming & Event-Driven Processing
Understanding of AWS streaming services (Kinesis, MSK, SNS, SQS, EventBridge) for storage event handling.
Experience with CDC (Change Data Capture) pipelines and real-time storage updates.
6. Leadership & Technical Strategy
Experience driving technical roadmaps and architectural vision for backend storage teams.
Ability to mentor senior engineers and lead design reviews across the org.
Proven ability to communicate complex storage architectures to executives and non-technical stakeholders.
7. Hands-On Coding & Problem Solving
Strong programming skills in Kotlin, Java, Go, Rust, or Python for backend storage development.
Experience with AWS SDKs, storage APIs, and RESTful service architectures.”
Required skills
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