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Hemen Estefaie
Software Engineering Team Lead @Plerion
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WORK HISTORY
Software Engineering Team Lead @Plerion
Sydney, AU
Plerion is a Cloud-Native Application Protection Platform (CNAPP). We identify and prioritise the 1% of cloud security risks that matter most, so customers can focus their time and resources where it counts.In my role, I’ve balanced people management, project delivery, and hands-on technical leadership. The ratio has flexed over time between strategic leadership and deep technical execution. As the lead of the Advanced Detections team, we’ve delivered key platform capabilities, including:•Network-based public exposure detection: Built rules that detect publicly exposed AWS resources (EC2, RDS, Auto Scaling Groups, ECS, EKS) with 100% accuracy.•IAM-based public exposure detection: Delivered checks for identifying S3 buckets, SNS topics, and SQS queues with 90%+ accuracy.• Attack path analysis: Developed detections that identify paths from publicly exposed workloads (EC2, Lambda, ECS) to vulnerable resources, highlighting exploitable access to critical data.•Graph-based cloud inventory: Created a dynamic graph of AWS resources and their relationships, enabling analysis of risk propagation across accounts and organisations.Technologies: Amazon Neptune, AWS Lambda, API Gateway, S3, SQS, SNS, React, Amazon DynamoDB, Amazon RDS, Amazon EventBridge, etc.
EDUCATION
Razi University
Bachelor's degree, Computer Engineering
Iran University of Science and Technology
Master's Degree, Computer Engineering
SKILLS
ABOUT HEMEN ESTEFAIE
With over a decade of experience as a software engineer, I\'ve had the opportunity to work across a diverse range of industries and adapt to different technology stacks based on the needs of each organisation. I’m pragmatic in my approach—always choosing tools and practices that serve the business and the team best.To me, software engineering is fundamentally about communication. It\'s about instructing computers to deliver business value. It’s about writing code and tests that clearly express intent to peers and your future self. Most importantly, it’s about collaborating with your team and stakeholders—listening, planning, delivering, and improving in a transparent and iterative way.In recent years, with the rapid advancements in AI and large language models (LLMs), it’s become clear to me how critical it is for engineers and leaders to thoughtfully incorporate AI into everyday development and team workflows. Whether it’s accelerating delivery, improving code quality, or enabling more strategic decision-making in engineering leadership, AI has become an essential part of the modern software development toolkit. I actively explore and promote the integration of these tools to ensure teams stay focused on high-leverage work and continue delivering value at speed.Languages: JavaScript, TypeScript, SQL, C++, HTML, CSS, C#, JavaFrameworks/Tools: Node.js, React, Redux, Angular, Polymer, Ember, Express, GraphQL, Material UI, Blueprint, Bootstrap, Webpack, NPMCloud (AWS): Lambda, DynamoDB, Amazon Neptune, Amazon RDS, API Gateway, Step Functions, SQS, SNS, CloudFront, CloudFormation, CloudWatch, EventBridge, Kinesis, CloudTrail, STS, Cognito, EC2Databases: DynamoDB, SQL Server, PostgreSQL (Amazon RDS), MySQL, Amazon NeptuneAI: Cursor, ChatGPT, CopilotCI/CD & Productivity: Git, GitHub, Bitbucket, GitLab CI, Jira, Confluence
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