programmer

Summary
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.

I am Sadr, CEO of Oferli. We are building a high-performance, elite technical team, and I am looking for 5 to 10 dedicated founding technical partners to join me in this mission.
​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

 
 
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.
 

About the Role

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.

** About the Role**

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.