Principal Software Engineer, Trusted Data Platform
Atlassian
Principal Software Engineer, Trusted Data Platform
Job Description
Principal Software Engineer, Trusted Data Platform
📋 Job Overview
As a Principal Software Engineer at Atlassian, you will lead the design and optimization of high-scale, distributed storage systems on AWS. You will collaborate with cross-functional teams to enhance scalability, availability, and efficiency, while also mentoring senior engineers and shaping the long-term storage strategy.
📍 Location: Remote, India (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-11-10 04:20 AM
🎯 Key Responsibilities
- Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
- Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
- Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
- Driving best practices in distributed system design, security, and cloud cost optimization
- Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
- Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
- Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
- 10+ years of experience in backend software development, focusing on distributed systems and storage solutions
- 5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier)
- Strong expertise in system design, architecture, and scalability for large-scale storage solutions
- Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
- Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures
- Deep understanding of distributed systems, replication strategies, sharding, and caching
- Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA)
- Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps
- Proficiency with observability tools, performance monitoring, and troubleshooting at scale
🛠️ Required Skills
- AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, Glacier)
- System design, architecture, and scalability
- Backend programming languages (Kotlin, Java, Go, Rust, Python)
- Distributed systems, replication strategies, sharding, caching
- Data security, encryption, compliance (SOC2, GDPR, HIPAA)
- Observability tools, performance monitoring, troubleshooting
- Terraform, AWS CloudFormation, Kubernetes (EKS), CI/CD pipelines
- Storage durability, consistency models, replication, erasure coding
- Tiered storage solutions, cost-optimized data retention
- CAP theorem, consensus algorithms (Raft, Paxos, Gossip Protocol)
- NoSQL databases (DynamoDB, Cassandra, RocksDB)
- Event-driven, microservices-based architectures (gRPC, REST, WebSockets)
- Data serialization formats (Parquet, Avro, ORC)
- Data compression, deduplication, indexing
- AWS Well-Architected Framework, cloud storage best practices
- Infrastructure as Code (IaC), AWS CDK
- Serverless architectures (Lambda, Fargate), containerized storage workloads
- CI/CD automation (GitHub Actions, CodePipeline, Jenkins, ArgoCD)
- Benchmarking, profiling, optimizing storage workloads
- Performance monitoring tools (CloudWatch, Prometheus, OpenTelemetry, Grafana)
- Debugging and troubleshooting (latency bottlenecks, memory leaks, concurrency issues)
- Observability strategies (tracing, metrics, structured logging)
- Data security, encryption at rest/in transit, IAM policies
- Fine-grained access controls (IAM, KMS, STS, VPC Security Groups)
- Compliance frameworks (SOC2, GDPR, HIPAA, FedRAMP)
- Disaster recovery, backup strategies, multi-region failover solutions
- Technical design reviews, architecture discussions, engineering best practices
- Mentoring, fostering growth in distributed storage expertise
- Influencing technical roadmaps, long-term vision, cost optimization strategies
🎁 Benefits & Perks
- Flexibility to work from home, an office, or a combination of both
- Ability to choose the place that's best for work and lifestyle
Locations
- Remote, India (Remote)
Salary
Estimated Salary Rangemedium confidence
4,000,000 - 6,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, Glacier)intermediate
- System design, architecture, and scalabilityintermediate
- Backend programming languages (Kotlin, Java, Go, Rust, Python)intermediate
- Distributed systems, replication strategies, sharding, cachingintermediate
- Data security, encryption, compliance (SOC2, GDPR, HIPAA)intermediate
- Observability tools, performance monitoring, troubleshootingintermediate
- Terraform, AWS CloudFormation, Kubernetes (EKS), CI/CD pipelinesintermediate
- Storage durability, consistency models, replication, erasure codingintermediate
- Tiered storage solutions, cost-optimized data retentionintermediate
- CAP theorem, consensus algorithms (Raft, Paxos, Gossip Protocol)intermediate
- NoSQL databases (DynamoDB, Cassandra, RocksDB)intermediate
- Event-driven, microservices-based architectures (gRPC, REST, WebSockets)intermediate
- Data serialization formats (Parquet, Avro, ORC)intermediate
- Data compression, deduplication, indexingintermediate
- AWS Well-Architected Framework, cloud storage best practicesintermediate
- Infrastructure as Code (IaC), AWS CDKintermediate
- Serverless architectures (Lambda, Fargate), containerized storage workloadsintermediate
- CI/CD automation (GitHub Actions, CodePipeline, Jenkins, ArgoCD)intermediate
- Benchmarking, profiling, optimizing storage workloadsintermediate
- Performance monitoring tools (CloudWatch, Prometheus, OpenTelemetry, Grafana)intermediate
- Debugging and troubleshooting (latency bottlenecks, memory leaks, concurrency issues)intermediate
- Observability strategies (tracing, metrics, structured logging)intermediate
- Data security, encryption at rest/in transit, IAM policiesintermediate
- Fine-grained access controls (IAM, KMS, STS, VPC Security Groups)intermediate
- Compliance frameworks (SOC2, GDPR, HIPAA, FedRAMP)intermediate
- Disaster recovery, backup strategies, multi-region failover solutionsintermediate
- Technical design reviews, architecture discussions, engineering best practicesintermediate
- Mentoring, fostering growth in distributed storage expertiseintermediate
- Influencing technical roadmaps, long-term vision, cost optimization strategiesintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (experience)
- 10+ years of experience in backend software development, focusing on distributed systems and storage solutions (experience)
- 5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier) (experience)
- Strong expertise in system design, architecture, and scalability for large-scale storage solutions (experience)
- Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python) (experience)
- Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures (experience)
- Deep understanding of distributed systems, replication strategies, sharding, and caching (experience)
- Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA) (experience)
- Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps (experience)
- Proficiency with observability tools, performance monitoring, and troubleshooting at scale (experience)
Responsibilities
- Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
- Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
- Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
- Driving best practices in distributed system design, security, and cloud cost optimization
- Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
- Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
- Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices
Benefits
- general: Flexibility to work from home, an office, or a combination of both
- general: Ability to choose the place that's best for work and lifestyle
Tags & Categories
Principal Software Engineer, Trusted Data Platform
Atlassian
Principal Software Engineer, Trusted Data Platform
Job Description
Principal Software Engineer, Trusted Data Platform
📋 Job Overview
As a Principal Software Engineer at Atlassian, you will lead the design and optimization of high-scale, distributed storage systems on AWS. You will collaborate with cross-functional teams to enhance scalability, availability, and efficiency, while also mentoring senior engineers and shaping the long-term storage strategy.
📍 Location: Remote, India (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-11-10 04:20 AM
🎯 Key Responsibilities
- Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
- Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
- Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
- Driving best practices in distributed system design, security, and cloud cost optimization
- Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
- Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
- Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
- 10+ years of experience in backend software development, focusing on distributed systems and storage solutions
- 5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier)
- Strong expertise in system design, architecture, and scalability for large-scale storage solutions
- Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
- Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures
- Deep understanding of distributed systems, replication strategies, sharding, and caching
- Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA)
- Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps
- Proficiency with observability tools, performance monitoring, and troubleshooting at scale
🛠️ Required Skills
- AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, Glacier)
- System design, architecture, and scalability
- Backend programming languages (Kotlin, Java, Go, Rust, Python)
- Distributed systems, replication strategies, sharding, caching
- Data security, encryption, compliance (SOC2, GDPR, HIPAA)
- Observability tools, performance monitoring, troubleshooting
- Terraform, AWS CloudFormation, Kubernetes (EKS), CI/CD pipelines
- Storage durability, consistency models, replication, erasure coding
- Tiered storage solutions, cost-optimized data retention
- CAP theorem, consensus algorithms (Raft, Paxos, Gossip Protocol)
- NoSQL databases (DynamoDB, Cassandra, RocksDB)
- Event-driven, microservices-based architectures (gRPC, REST, WebSockets)
- Data serialization formats (Parquet, Avro, ORC)
- Data compression, deduplication, indexing
- AWS Well-Architected Framework, cloud storage best practices
- Infrastructure as Code (IaC), AWS CDK
- Serverless architectures (Lambda, Fargate), containerized storage workloads
- CI/CD automation (GitHub Actions, CodePipeline, Jenkins, ArgoCD)
- Benchmarking, profiling, optimizing storage workloads
- Performance monitoring tools (CloudWatch, Prometheus, OpenTelemetry, Grafana)
- Debugging and troubleshooting (latency bottlenecks, memory leaks, concurrency issues)
- Observability strategies (tracing, metrics, structured logging)
- Data security, encryption at rest/in transit, IAM policies
- Fine-grained access controls (IAM, KMS, STS, VPC Security Groups)
- Compliance frameworks (SOC2, GDPR, HIPAA, FedRAMP)
- Disaster recovery, backup strategies, multi-region failover solutions
- Technical design reviews, architecture discussions, engineering best practices
- Mentoring, fostering growth in distributed storage expertise
- Influencing technical roadmaps, long-term vision, cost optimization strategies
🎁 Benefits & Perks
- Flexibility to work from home, an office, or a combination of both
- Ability to choose the place that's best for work and lifestyle
Locations
- Remote, India (Remote)
Salary
Estimated Salary Rangemedium confidence
4,000,000 - 6,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, Glacier)intermediate
- System design, architecture, and scalabilityintermediate
- Backend programming languages (Kotlin, Java, Go, Rust, Python)intermediate
- Distributed systems, replication strategies, sharding, cachingintermediate
- Data security, encryption, compliance (SOC2, GDPR, HIPAA)intermediate
- Observability tools, performance monitoring, troubleshootingintermediate
- Terraform, AWS CloudFormation, Kubernetes (EKS), CI/CD pipelinesintermediate
- Storage durability, consistency models, replication, erasure codingintermediate
- Tiered storage solutions, cost-optimized data retentionintermediate
- CAP theorem, consensus algorithms (Raft, Paxos, Gossip Protocol)intermediate
- NoSQL databases (DynamoDB, Cassandra, RocksDB)intermediate
- Event-driven, microservices-based architectures (gRPC, REST, WebSockets)intermediate
- Data serialization formats (Parquet, Avro, ORC)intermediate
- Data compression, deduplication, indexingintermediate
- AWS Well-Architected Framework, cloud storage best practicesintermediate
- Infrastructure as Code (IaC), AWS CDKintermediate
- Serverless architectures (Lambda, Fargate), containerized storage workloadsintermediate
- CI/CD automation (GitHub Actions, CodePipeline, Jenkins, ArgoCD)intermediate
- Benchmarking, profiling, optimizing storage workloadsintermediate
- Performance monitoring tools (CloudWatch, Prometheus, OpenTelemetry, Grafana)intermediate
- Debugging and troubleshooting (latency bottlenecks, memory leaks, concurrency issues)intermediate
- Observability strategies (tracing, metrics, structured logging)intermediate
- Data security, encryption at rest/in transit, IAM policiesintermediate
- Fine-grained access controls (IAM, KMS, STS, VPC Security Groups)intermediate
- Compliance frameworks (SOC2, GDPR, HIPAA, FedRAMP)intermediate
- Disaster recovery, backup strategies, multi-region failover solutionsintermediate
- Technical design reviews, architecture discussions, engineering best practicesintermediate
- Mentoring, fostering growth in distributed storage expertiseintermediate
- Influencing technical roadmaps, long-term vision, cost optimization strategiesintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (experience)
- 10+ years of experience in backend software development, focusing on distributed systems and storage solutions (experience)
- 5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier) (experience)
- Strong expertise in system design, architecture, and scalability for large-scale storage solutions (experience)
- Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python) (experience)
- Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures (experience)
- Deep understanding of distributed systems, replication strategies, sharding, and caching (experience)
- Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA) (experience)
- Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps (experience)
- Proficiency with observability tools, performance monitoring, and troubleshooting at scale (experience)
Responsibilities
- Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
- Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
- Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
- Driving best practices in distributed system design, security, and cloud cost optimization
- Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
- Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
- Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices
Benefits
- general: Flexibility to work from home, an office, or a combination of both
- general: Ability to choose the place that's best for work and lifestyle
Tags & Categories