Master’s in Data Science Internship
We are seeking select MS students in the field of Data Science to be part of our groundbreaking projects in the areas of cloud, data, AI, and web3. As a valuable member of our team, you will contribute to the development of a large-scale open data cloud and analytics platform. Openmesh is a global initiative that brings together talented individuals in the tech industry to create open data and infrastructures that will shape the future for the next decade or two.
This internship opportunity can be utilized to fulfill the industry experience requirement. It is a paid internship that lasts 2-12 weeks and is set to begin soon. The role will be based in our Sydney George St. Office. By working with a world-class team, you will have the chance to unlock your career potential and explore opportunities for permanent job placements. Attractive salaries and exciting cash prizes await you as well.
About Openmesh and Xnode
Currently, a small number of corporations control the majority of the world's data and IT infrastructure. This centralized control limits innovation, creates privacy concerns, and hinders the free flow of data. Openmesh is an innovative open-source cloud infrastructure and a global open data network. It aims to store crucial global data without intermediaries. Openmesh is the largest open web3 data lake, covering approximately 80% of the crypto and web3 ecosystem. Our goal is to expand data coverage to include public health and scientific research data in upcoming years.
Openmesh enables anyone to create their own decentralized data cloud, securely share data globally, reduce deployment costs, and automate data cloud setup. It acts as the internet's open data fabric, granting universal access and protecting against interference from regulators, governments, corporations, and even its creators.
Core Products
Xnode is our flagship product that empowers developers to easily build decentralized data clouds with data connectivity, APIs, query engines, and more. With Xnode, developers can bypass licensing and setup fees, resulting in significant cost and time savings.
Pythia, our powerhouse analytics & query engine, transforms raw data into actionable insights. It allows users to design, build, visualize, and deploy powerful data products.
Unified APIs provide a single endpoint for all crypto and web3 data, making it universally accessible without any associated costs or fees.
Our Vision
At Openmesh, our vision is to democratize data and address information asymmetry on a large scale. We believe that access to reliable and unedited information is a fundamental right in a free and democratic society. The entire infrastructure and technology stack behind Openmesh are open-source and governed by a community of contributors.
The Opportunity
Through this paid internship, you can fulfill your industry experience requirement. You will have the opportunity to learn about groundbreaking innovations in Data, Cloud, Blockchain, AI, and Web3 Infrastructure from industry experts and experienced professionals. Access to open source technology, hackathons, virtual conferences, mentoring sessions, workshops, and R&D infrastructure will be provided. You can choose to work in person or remotely.
Top-performing candidates may receive full-time job offers, leading to a promising career at Openmesh. Additionally, you will gain valuable on-the-job experience by working on projects that enhance your problem-solving, presentation, teamwork, and professional skills.
Responsibilities
- Analyze data to derive meaningful insights
- Assist in the development and implementation of machine learning models
- Collaborate with the data science team on various tasks
Qualifications:
- Pursuing or completed a Master's degree in Data Science
- Proficiency in programming languages such as Python and R
- Basic understanding of machine learning concepts
- Strong analytical and problem-solving skills
Why Join Us
- Lead a revolutionary product that is reshaping the landscape of data management and accessibility
- Collaborate with a global community of innovators and thought leaders in the decentralized space
- Make a significant impact on how data is accessed and utilized worldwide, promoting transparency, efficiency, and democratization
- Enjoy a dynamic, challenging, and rewarding work environment, along with competitive compensation and benefits
In addition to academic skills, we are interested in your unique personal qualities, outside interests, and achievements beyond university that showcase the contributions you will bring to our team.
Assistant in Financial Technology and Trading Strategies (with Training)
We are offering an opportunity to join our team and learn about cross-market trading strategies, focusing on identifying price differences of assets across multiple platforms. This role provides hands-on experience in financial technology, data analysis, and trading support.
As part of this position, you will:
Gain practical knowledge of market analysis and trading workflows
Learn how to recognize and evaluate opportunities across different platforms
Develop your skills in risk management and decision-making
Work with a mentor who will guide you step by step through the learning process
What we provide:
Comprehensive training program designed for beginners
Ongoing mentorship and professional support
Flexible schedule (approx. 1 hour a day required for study and practice)
Remote work setup with the possibility to grow into a larger role over time
This is a part-time, entry-level opportunity suitable for candidates with little or no prior experience. What matters most is your willingness to learn and apply new knowledge in practice.
Compensation: Competitive monthly pay structure with opportunities for progression as skills develop
Founding Head of Engineering
(Senior) Security Engineer, Security Engineering & Threat Intelligence
We are establishing a cutting-edge, intelligence-based security operations capability that heavily incorporates AI and automation, necessitating engineering and operational skills across all levels.
Responsibilities:
Manage Automation & DevOps: Oversee CI/CD development and management to optimize delivery efficiency and quality. Develop and maintain Infrastructure as Code (IaC) templates using tools like Ansible, Terraform, or CloudFormation.
Automate Workflow Orchestration: Create automated solutions using scripting languages like Python or PowerShell. Utilize automation to improve system efficiency and streamline operational processes.
Implement DevOps Best Practices: Integrate DevOps principles into development lifecycles to enhance collaboration, monitoring, and agile delivery. Explore new tools and technologies to enhance the automation and DevOps toolkit.
Security Engineering: Enhance the security operations technology stack, automate workflows, and incorporate AI solutions. Implement security logging and detection engineering practices following DevOps principles. Embrace Agentic AI systems.
Develop Detection & Response Infrastructure: Maintain and enhance detection & response engineering infrastructure, telemetry, and log pipelines. Support alert pipeline development and detection use cases.
Manage Threat Intelligence: Assist with backend and infrastructure tasks associated with Threat Intelligence projects. Collaborate on Threat Analysis and incident support.
Lead Security Projects: Drive projects related to Endpoint Security enhancements, Threat Hunting, Attack Simulation, and more.
Provide Leadership: Display cross-functional leadership, manage stakeholders effectively, and contribute to team growth and capabilities.
Requirements:
5-7 years of Information Security experience, with expertise in Security Engineering, Security Operations, Cyber Threat Intelligence, or Cloud Security.
Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
Proficiency in IaC tools such as Terraform, Ansible, or CloudFormation.
Strong scripting skills in Python, Bash, or PowerShell.
Experience with SIEM, EPP/EDR/XDR, SOAR, Threat Intelligence Platforms, and Cloud environments.
Practical application of operational, tactical, and strategic threat intelligence.
Proficiency in applying AI/ML in cybersecurity.
Self-motivated, detail-oriented, outcome-driven, and a collaborative team player.
Proficient in verbal and written English.
(Senior) Security Engineer, Security Engineering & Threat Intelligence
We are in the process of establishing a cutting-edge, multi-cloud, intelligence-driven security operations capability that will heavily incorporate AI and automation. This endeavor will demand a range of engineering and operational proficiencies at various levels.
Responsibilities
Automation & DevOps:
Develop and manage CI/CD pipelines to optimize software delivery workflows with an emphasis on speed, security, and quality.
Create and maintain Infrastructure as Code (IaC) templates using tools such as Ansible, Terraform, or CloudFormation for streamlined infrastructure provisioning across cloud and on-premise environments.
Design and implement automated solutions and workflows using scripting languages or automation platforms to enhance system efficiency.
Security Engineering:
Enhance and manage the security operations technology stack, prioritize cloud native solutions, and integrate DevOps best practices.
Implement security logging and detection engineering practices, automating processes and utilizing AI to enhance efficiencies.
Direct projects such as Endpoint Security enhancements and Threat Hunting initiatives while incorporating AI into operational workflows.
Detection & Response:
Manage the infrastructure related to detection and response engineering, including telemetry pipelines, automation, and AI-driven solutions.
Support alert pipelines and develop detection use cases to enhance threat detection capabilities.
Threat Intelligence Management:
Assist with backend and infrastructure tasks entailing Threat Intelligence Projects, Threat Analysis, and making Threat Intelligence actionable.
Collaborate on Threat Intelligence Action items and provide support during incidents.
Security Projects:
Oversee projects related to Attack Simulation, Use Case Validation, Network/Endpoint security reviews, and other security-related initiatives.
Leadership:
Possess cross-functional leadership skills and manage stakeholders effectively.
Mentor and contribute to the professional growth of the team.
Requirements
5-7 years of Information Security experience, particularly in Security Engineering, Operations, Cyber Threat Intelligence, or Cloud Security.
Proficient in CI/CD tools, IaC tools like Terraform, Ansible, and scripting languages like Python, Bash, or PowerShell.
Experience with security tools and platforms including SIEM, EPP/EDR/XDR, SOAR, and Threat Intelligence platforms.
Strong familiarity with Cloud environments such as AWS, Azure, and GCP.
Practical experience in applying AI/ML in cybersecurity contexts.
Self-motivated, detail-oriented, and results-driven.
Collaborative team player with strong communication skills in English.
(Senior) Security Engineer, Security Engineering & Threat Intelligence
We are currently establishing a cutting-edge, multi-cloud, intelligence-driven security operations capability that will heavily leverage AI and automation. The successful candidate will need to demonstrate engineering and operational proficiency across all levels.
Responsibilities:
Enhance build, manage, and optimize Continuous Integration and Continuous Deployment (CI/CD) pipelines to improve development workflows, ensuring secure and rapid code delivery.
Develop, enhance, and maintain Infrastructure as Code (IaC) templates or playbooks using tools such as Ansible, Terraform, CloudFormation, or equivalent.
Design and implement automated solutions and workflows using scripting languages (e.g., Python, Bash, PowerShell) or automation platforms to streamline operational processes.
Integrate DevOps principles into development lifecycles, monitor performance, and promote agile delivery.
Build, maintain, and improve our security operations technology stack, incorporating cloud native solutions, security logging, detection engineering practices, and automation while integrating DevOps principles.
Implement infrastructure to support detection & response lifecycle, telemetry and log pipelines, utilizing automation and AI.
Aid in backend and infrastructure tasks related to Threat Intelligence Projects, Threat Analysis, and Incident Support.
Lead security projects focusing on enhancing Endpoint Security, Attack Simulation, Threat Hunting, and more.
Provide cross-functional leadership, stakeholder management, mentorship, and contribute to team growth.
Requirements:
5-7 years of experience in Information Security with technical hands-on experience in Security Engineering, Security Operations, Cyber Threat Intelligence, or Cloud Security.
Proficiency in CI/CD tools like Jenkins, GitLab CI/CD, and GitHub Actions.
Familiarity with IaC tools such as Terraform, Ansible, or CloudFormation.
Strong scripting skills in Python, Bash, PowerShell, or automation/orchestration platforms.
Experience with SIEM, EPP/EDR/XDR, SOAR, Threat Intelligence Platforms, and related Open Source Threat Intelligence solutions.
Practical experience in Cloud environments like AWS, Azure, and GCP, including AI/ML application in cybersecurity use cases.
Self-motivated, detail-oriented, collaborative team player with proficiency in verbal and written English.