Data Warehouse Architect

Client-Facing Technical Partner - Remote
About
Small, experienced engineering team specializing in AI/ML, cloud, and full-stack development for US clients. 
Role
We are looking for a native/fluent English speaker to represent our engineering team in client meetings, interviews, and project discussions. 
Responsibilities
Join client meetings and interviews.
Communicate requirements, timelines, and technical approaches.
Bridge communication between clients and developers.
Build strong relationships with US-based clients.
 
Requirements
Native/fluent English speaker based in the US, Canada, or Latin America.
Strong verbal communication skills.
Basic understanding of software development, AI/ML, cloud, or web/mobile.
Comfortable with client-facing technical discussions.
 
Offer
30-50$/hr.
Fully remote and flexible schedule.
Full technical support during client meetings.
Direct access to US clients and networking opportunities.
Type: Partnership / Contractor
Location: Remote (US/Canada/Latin America)

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.
 

We are currently seeking a skilled professional to join our team as a Full-time Hackintosh iOS Developer. In this role, you will be responsible for developing iOS applications for our Hackintosh platform. The ideal candidate will have a strong background in Web, Mobile, and Software Development, Engineering & Architecture, Customer Service, and Accounting and Consulting Specialist.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.

Our client is seeking a backend engineer to assume full responsibility for core functionalities on their medical imaging platform. In this role, you will not just hand off your code at the pull request stage but will be directly accountable for system accuracy, production stability, and the security of clinical data that impacts patient care directly.

The data science team creates machine learning models; your task is to create the robust, deterministic platform that supports them. Your responsibilities will include designing scalable architectures, resolving concurrency issues, ensuring seamless data migrations without downtime, and ensuring the stability of legacy services as their replacements are developed.

Responsibilities:

Full ownership of the technical roadmap of our Python/FastAPI ecosystem, encompassing API design, background task distribution, and production observability.

Manage and develop our PostgreSQL schema in terms of data integrity and persistence, including migrations, lock mechanisms, query optimization, and multi-tenant data isolation while adhering to HIPAA/PHI compliance.

Design and implement resilient image processing pipelines for handling intensive medical imaging files in asynchronous, event-driven workflows from ingestion and de-identification to model inference and result delivery.

Establish reliable API interfaces with frontend teams and clear model input/output contracts with data scientists to ensure a smooth cross-functional collaboration.

Keep thorough technical records, oversee the transition of legacy systems, and maintain Architecture Decision Records (ADRs).

Requirements:

Minimum of 5 years of software engineering experience with demonstrated production ownership and deep expertise in systems and backend fundamentals.

Proficiency in concurrency and distributed systems with a strong understanding of race conditions, deadlocks, idempotent processing, and messaging failure modes.

Hands-on experience with PostgreSQL internals and message brokers in a production environment.

Strong commitment to typed code, automated testing, CI/CD pipelines, Docker, and modern AI developer tools.

Ability to challenge requirements, set technical standards, and communicate effectively in both English and Chinese.

Nice-to-have Skills:

Familiarity with operating containerized workloads on Google Cloud Platform.

Direct experience with medical imaging workflows, DICOM standard protocols, or healthcare regulatory frameworks.

Knowledge of multi-tenant database patterns or deploying hybrid cloud/on-prem solutions.

Exposure to scientific computing contexts like NumPy, computational geometry, or frontend technologies like React/TypeScript.

Certain AI tools may be utilized in the hiring process for tasks such as application review and assessing candidate materials. These tools assist but do not replace human judgment, with final hiring decisions being made by humans. For more information on data processing, please contact us directly.