Smart Contract Development Intern (Blockchain Technology and Security)
Job Description Rewrite:
We are seeking exceptional students to join our exciting venture in the realms of cloud computing, data analysis, artificial intelligence, and web3 technology. As a participant, you will have the opportunity to contribute to the development of a cutting-edge open data cloud and analytics engine on a large scale. Openmesh is a global initiative that brings together brilliant minds in the tech industry to create open infrastructures and accessible data networks that will shape the future for the next 10-20 years.
This paid internship, which can count towards your industry experience requirement (PEP 40), is open for a duration between 2 to 12 weeks and will commence soon. You will be based in our Sydney George St. Office. By working alongside our world-class team, you will tap into your full career potential with the chance for permanent job placements, competitive salaries, and opportunities to win exciting cash prizes through competitions!
About Openmesh and Xnode
Currently, a handful of corporations control a disproportionate 90% share of the world's data and IT infrastructure. Trust in these centralized entities has raised several concerns. With information asymmetry causing social inequality, scandals, polarization, and corruption, it has even led to conflicts in some instances. We believe this centralized control hampers innovation, raises concerns about privacy, and hinders the free flow of information.
Openmesh is an innovative open-source cloud infrastructure and global open data network designed to store significant global data without intermediaries. This comprehensive web3 data lake already covers approximately 80% of the crypto and web3 ecosystem. By 2023 and 2024, we aim to expand its coverage to include public health and scientific research data.
Openmesh empowers individuals to build their own decentralized data clouds, enabling secure data sharing, cost reduction in deployment, and automated data cloud setup. It is a data fabric for open data on the internet that offers universal access while preventing interference from regulators, governments, corporations, and its creators. The possibilities are endless.
Core Products
We offer Xnode as our flagship product, which serves as an essential component of our vision. Xnode revolutionizes the development of decentralized data clouds through simple creation processes for data connectivity, APIs, and query & analytics engines. Developers save time and monetary resources by bypassing licensing and setup fees. Xnode enables a drastic 10-15 fold cost reduction in operating data clouds, with deployment time reduced by over 95%.
Pythia is our powerful analytics & query engine designed to transform raw data into actionable insights. Pythia grants individuals the ability to design, build, visualize, and deploy robust data products.
Unified APIs provide a single entry point for all crypto & web3 data, making it accessible globally without any barriers. This accessibility comes without licenses, registrations, or setup fees.
Our Vision
At Openmesh, we envision a future where data is democratized and information asymmetry is addressed on an enormous scale. Data and information stand as the most valuable commodities worldwide, and without reliable, high-quality data, the internet, webpages, and apps would come to a halt. We believe in the fundamental right of open and unedited access to reliable information, fostering a free, democratic society. Openmesh's Core Principles keep data unmodified, define distributed control, and allow universal visibility on an infrastructure governed by an open-source community.
The Opportunity
Fulfill your PEP 40H industry experience requirement through this paid internship opportunity.
Acquire knowledge about groundbreaking Data, Cloud, Blockchain, AI, and Web3 Infrastructure innovations from industry visionaries, senior engineers, and product owners. Get a glimpse of what working in your dream job would truly entail.
Gain access to our open-source technology, hackathons, virtual conferences, mentoring sessions, R&D infrastructure, workshops, and practical application opportunities, offered both in-person or remotely.
Develop a promising career with the potential for full-time job placement through outstanding performance during the internship.
Acquire hands-on experience through project assignments that will hone your problem-solving skills, improve your ability to present ideas, enhance your teamwork capabilities, and instill professionalism.
The specialized knowledge and skills gained during the program will prepare you for a successful career at Openmesh.
Why Join Us
- Lead the way in shaping the future of data management and access by being part of a revolutionary product.
- Collaborate with a global community of innovators and industry experts in the decentralized space.
- Contribute to improving how data is accessed and utilized across the globe, promoting transparency, efficiency, and democratization.
- Thrive in a stimulating, challenging, and fulfilling work environment, complete with competitive compensation and benefits.
In addition to academic skills, we highly value the unique qualities that make you who you are. The qualities, personal interests, and achievements beyond university that showcase your character and what you can contribute to our team are of utmost importance to us.
Recruiter
IMPORTANT — REQUIRED VIDEO SUBMISSION
Every applicant MUST submit a 2–3 minute Loom video explaining a software project they have personally worked on.
In your video, please explain the project's purpose, your specific role, the technologies involved, and how you approached the technical challenges.
Speak naturally, as if you were explaining the project to a potential US client. We want to evaluate your English fluency, technical knowledge, confidence, speaking voice, and ability to communicate without a script.
Proposals without a Loom video link will NOT be considered. No exceptions.
About Us
We are a newly established software development agency focused on securing and delivering software projects for US-based clients.
Our team consists of experienced international software developers with strong technical capabilities. However, live English communication during client interviews can sometimes be challenging.
We are looking for a technically knowledgeable, confident English speaker who can represent our agency professionally and lead technical conversations with prospective clients.
Your main objective is to help us win software development projects by building client confidence through clear, natural, and technically credible communication.
Responsibilities
Lead live video interviews and technical discussions with prospective US clients.
Explain software solutions, technical approaches, architecture, and development processes clearly.
Confidently answer spontaneous technical questions.
Discuss project requirements, implementation strategies, timelines, and potential challenges.
Communicate our development team's capabilities effectively.
Ask insightful questions to identify client needs and demonstrate technical understanding.
Coordinate with our developers before interviews to understand project-specific details.
Help turn technical discussions into successful project engagements.
Requirements
Native or near-native American English fluency.
Strong verbal communication and conversational confidence.
A mature, authoritative speaking style. A naturally deep, resonant voice is strongly preferred.
Hands-on software development experience or a solid technical background.
Familiarity with modern software technologies such as .NET, Python, JavaScript, React, Node.js, APIs, databases, and cloud infrastructure.
Ability to discuss unfamiliar technical requirements intelligently.
Experience communicating with US clients in technical or consulting environments.
Comfortable leading Zoom or Google Meet meetings independently.
Availability during US business hours.
You do not need to be an expert in every technology. However, you must have enough practical software engineering knowledge to discuss projects intelligently, handle follow-up questions, and communicate technical concepts convincingly.
Engagement Details
Remote, part-time position.
Flexible schedule based on client interview bookings.
Compensation based on experience and qualifications.
Opportunity for long-term collaboration as our agency grows.
How to Apply
Step 1 — Mandatory Loom Video (2–3 Minutes)
Record yourself explaining a real software development project you personally contributed to.
Your video must cover:
What the project was and what business problem it solved.
Your specific role and responsibilities.
The technology stack and technical architecture.
One significant technical challenge and how you solved it.
The final outcome or results.
Please speak naturally and directly to the camera. We are particularly interested in how confidently and clearly you explain technical subjects.
Step 2 — Written Proposal
Include:
Your Loom video link.
A brief summary of your technical background.
Your experience communicating with US clients.
Your availability during US business hours.
Final Note
We are not looking for a generic salesperson, a scripted presenter, or someone who simply speaks fluent English.
We need someone who understands software engineering, communicates with authority, thinks on their feet, and can make US clients feel confident discussing their projects with our agency.
Again: A 2–3 minute Loom video is mandatory. Applications without the video will be rejected automatically.
Founding Technical Partners for Oferli – Elite Web & Mobile Development Team🌐
The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
Requirements:
Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
Professionalism: We operate with high standards. Communication and efficiency are key.
How We Work:
Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
Let’s build the future, together.
Sadr B
CEO, Oferli
Senior Blockchain Engineer - Low-Latency Execution Infrastructure (HyperEVM / Hyperliquid)
we’re looking for a senior blockchain engineer to build low-latency execution infrastructure around hyperevm and hyperliquid-related trading systems.
this is not a frontend or dapp role. the focus is on real-time execution systems, chain-native infrastructure, and market-aware backend engineering where latency, ordering, and state correctness directly impact execution outcomes.
you will work on systems that operate under noisy, adversarial, and highly dynamic conditions, including delayed or missing websocket events, rpc inconsistencies, transaction lifecycle complexity, state desynchronization, retries, and recovery logic.
core responsibilities include building and maintaining realtime blockchain data pipelines, websocket and rpc streaming systems, execution orchestration layers, liquidity-aware routing logic, transaction lifecycle management, and integration with orderbook and market data systems.
we are specifically looking for engineers who think in systems rather than features. meaning understanding how data flows through pipelines, how state evolves over time, how failures propagate, and how to design systems that recover automatically without manual intervention.
areas of work include:
- realtime blockchain data ingestion
- mempool-aware execution flows
- transaction lifecycle handling
- execution sequencing and routing
- websocket and rpc infrastructure
- state synchronization systems
- liquidity and orderbook integration
- performance and latency optimization
you should be comfortable working with distributed systems, asynchronous event processing, and latency-sensitive backend architectures.
strong experience in one or more of the following areas is highly relevant:
- exchange infrastructure
- trading systems
- execution engines
- blockchain indexers
- realtime event systems
- arbitrage systems
- rpc/node infrastructure
- defi backend systems
- low-latency backend engineering
preferred technical stack:
- typescript / node.js
- go
- rust
- python
- postgres
- clickhouse
- redis
- kafka or similar messaging systems
- docker
- linux environments
- evm rpc internals
- websocket infrastructure
ecosystem familiarity:
- ethereum, arbitrum, base, optimism, bsc
- hyperliquid / hyperevm
- foundry
- ethers.js / viem
- geth / erigon / nethermind
- dex and amm mechanics
- liquidity math, slippage, gas strategy, routing logic
this role is not suitable for:
- frontend-only developers
- nft or basic dapp experience only
- tutorial-level web3 developers
- candidates without production systems experience
we value engineers who have built real systems where correctness, latency, and reliability matter under load. we care less about buzzwords and more about concrete systems you have personally built and operated.
ideal candidates can clearly explain:
- system architecture decisions
- bottlenecks and tradeoffs
- failure modes and recovery strategies
- latency considerations in real systems
- production debugging experience
working style:
- remote
- async-first
- low bureaucracy
- high ownership
- engineering-driven team
- direct technical communication
we strongly prefer practical engineering depth over polished presentation. if you have built or worked on systems involving realtime data, trading infrastructure, blockchain execution, or latency-sensitive backend systems, please include details of those systems when applying.
Senior AI Analytics Engineer
As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.
In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.
Key Responsibilities
Data & AI Architecture: Develop and manage production-quality data models to connect raw data streams with downstream tools and BI, utilizing AI tools for data documentation, writing SQL/Python transformations, handling warehouse dialect conversions, and troubleshooting pipeline errors.
Analytics Engineering: Establish standardized data modeling approaches and build strong semantic layers to deliver clean, reliable data for analytics and reporting downstream.
Business & Requirements Analysis: Lead scoping discussions with various stakeholders to convert business requirements into functional specifications, user stories, and data mapping documents.
Business Logic Translation: Manage the alignment of data definitions across departments, a critical task that requires human intervention.
Data Quality & Governance: Implement automated testing, monitoring, and governance frameworks to ensure high reliability.
Performance Optimization: Enhance query performance, reduce warehouse costs, and streamline pipeline orchestration.
Requirements & Qualifications
Experience: Minimum of 5 years in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI-focused environment.
Technical Mastery: Advanced skills in SQL, proficiency with modern data transformation and orchestration tools such as dbt, Airflow, Prefect, and Dagster, and deep knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery.
AI Technical Stack: Understanding of feature engineering, AI workflow lifecycles, and evaluation metrics, along with experience deploying AI workflows in production settings.
Business Analysis Skills: Ability to collect business requirements, define key metrics, and translate stakeholder needs into structured data assets as needed.
Software Engineering Principles: Strong background in version control using Git, CI/CD practices for data pipelines, and code testing for production environments.
We may utilize artificial intelligence tools for applicant screening, but final hires are based on human evaluation in conjunction with tool insights.
Business & AI Process Automation Analyst
We are seeking a talented individual as a Business & AI Process Automation Analyst to support our Corporate Development team in utilizing business data and operational processes to enhance decision-making, streamline execution, and drive measurable enhancements.
This role combines business and technology expertise and is ideal for candidates with a background in Computer Science, Information Systems, or related fields, who thrive on collaborating closely with business users. The successful candidate will collaborate with various departments including Corporate Development, Product, Operations, Finance, Engineering, Legal, Compliance, and other stakeholders.
Responsibilities
Cross-functional and External Stakeholder Delivery
Manage operational requirements, timelines, and issue resolution among different internal teams such as Corporate Development, Product, Operations, Finance, Engineering, Legal, and Compliance.
Oversee end-to-end operational workflows for new digital asset integrations and product offerings, from assessment to launch and ongoing maintenance.
Coordinate platform updates for critical asset events like token migrations, contract swaps, upgrades, rebrands, and asset deprecation.
Serve as the main operational point of contact for external project teams and important stakeholders.
Facilitate joint promotional campaigns, user engagement activities, and growth initiatives with external partners.
AI-Enabled Process Automation
Identify opportunities for applying AI, LLMs, Python, SQL, APIs, low-code tools, and workflow platforms to streamline repetitive analytical and operational tasks.
Design and implement multi-step workflows with data transformations, prompts, validation rules, operational procedures, and assigned business accountability.
Test and monitor workflows for accuracy, edge cases, failures, approval gates, and escalation procedures.
Business Analysis and Decision Support
Translate complex business inquiries into structured analyses, actionable recommendations, measurable metrics, and data requirements.
Analyze business performance, operational trends, product opportunities, bottlenecks, and process efficacy.
Develop dashboards, reports, and presentations to communicate findings and impact clearly.
Data Quality and Control
Investigate discrepancies across various reports, data sources, systems, and metric definitions to establish consistent business logic.
Document data sources, transformations, ownership, control requirements, and analytical assumptions.
Identify and escalate data quality, access control, privacy, security risks, and ensure AI-assisted outputs are validated before use.
Requirements
Minimum 3 years of professional experience in business intelligence, process automation, business analytics, or a related field.
A degree in Business Administration, Computer Science, Data Analytics, or a related discipline.
Proficiency in AI tools, workflow automation, low-code platforms, or agentic workflows for process improvement.
Strong business acumen and the ability to link analysis to priorities and measurable outcomes.
Excellent written and verbal communication skills to collaborate effectively across technical and business teams.
Structured, detail-oriented problem-solving approach with the ability to prioritize in ambiguous situations.
Must be based in Hong Kong and comfortable working with multiple functions and time zones.
Nice to Have
Experience with tools like Power BI, Tableau, Looker, Excel for building dashboards, reports, data pipelines, or analytical tools.
Proficiency in Python and SQL for data preparation, analysis, automation, or workflow development.
Experience in building or implementing AI agents, multi-step workflows with exception handling and human involvement.
Exposure to APIs, Git, n8n, Databricks, cloud data tools, or workflow orchestration platforms.
Background in financial services, fintech, digital assets, payments, trading, capital markets, or similar fast-paced technology environments.
We may utilize artificial intelligence tools for application assessments, but final hiring decisions are upheld by humans leveraging insights from the tools alongside other pertinent information. For further details on data processing, please contact us.