Bachelor’s in Software Engineering Internship (Engineering Honors)
We are seeking passionate and motivated Engineering students (BA, MS) to be part of our groundbreaking work in the cloud, data, AI, and web3 fields. Join us in shaping the future by contributing to the development of a large-scale open data cloud and analytics engine. Openmesh is a global initiative that brings together talented individuals from the tech industry to create open data and infrastructures that will be influential in the next decade or two. This internship can count towards your 400 hours of industry experience (PEP 40) and is a paid opportunity, with a duration of 2-12 weeks. You will be based in our Sydney George St. Office, working alongside a world-class team. This internship also provides opportunities for permanent job placements, competitive salaries, and exciting cash prize competitions.
About Openmesh and Xnode
Currently, a small number of corporations control the majority of the world's data and IT infrastructure, leading to issues such as social inequality, scandals, and privacy concerns. Openmesh is an innovative open-source cloud infrastructure and global open data network that aims to store important global data without intermediaries. It is the largest open web3 data lake and encompasses around 80% of the crypto and web3 ecosystem today. Our goal is to expand our data coverage to include public health and scientific research data in the coming years.
Openmesh allows anyone to create their own decentralized data cloud, connect globally, share data securely, and reduce deployment costs. It serves as the internet's open data fabric, granting universal access and preventing interference from regulators, governments, corporations, and even its creators. With Openmesh, the possibilities are endless.
Core Products
Our flagship product, Xnode, empowers developers to build their decentralized data clouds swiftly, with data connectivity, APIs, and query & analytics engines. Xnode eliminates licensing and setup fees, resulting in a significant reduction in costs and deployment time for data clouds.
Pythia is a powerful analytics and query engine that transforms raw data into actionable insights. It enables users to design, build, visualize, and deploy robust data products.
Unified APIs provide a single access point for all crypto and web3 data, ensuring that it is easily accessible to anyone, without licenses, registrations, or setup fees.
Our Vision
At Openmesh, our aim is to democratize data and address information asymmetry on a large scale. Data and information are invaluable commodities, and we believe that access to reliable and unedited information is essential for a free and democratic society. Openmesh operates with a core principle of having no single authority controlling its data, distribution, or access, as the infrastructure and technology stack are open-source and governed by a community.
The Opportunity
As an intern with us, you will have the opportunity to:
- Meet the industry's visionaries, senior engineers, product owners, and learn about groundbreaking innovations in Data, Cloud, Blockchain, AI, and Web3 Infrastructure.
- Fulfill 400 hours of industry experience requirement (PEP 40H) for your academic program.
- Engage with our open-source technology, participate in hackathons, virtual conferences, mentoring sessions, workshops, and observe and apply your knowledge in real-world scenarios.
- Work on an exciting project that will develop your problem-solving skills, presentation abilities, teamwork, and professional mindset.
- Receive potential full-time employment offers based on your performance.
Why Join Us
Join us to:
- Lead a revolutionary product that is reshaping the field of data management and accessibility.
- Collaborate with a diverse 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.
- Thrive in a dynamic, challenging, and rewarding work environment, with competitive compensation and benefits.
We are interested not only in your academic skills but also in your unique personal qualities, outside interests, and achievements that showcase the kind of person you are and the value you can bring to our team.
Software Developer
Architect designers
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Full-time Hackintosh iOS development
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.
Senior Data Engineer (432)
Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.
Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.
Job Responsibilities:
Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
Develop, deploy, and deliver ML/AI-driven functionalities across various products.
Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
Enhance data pipelines and feature repositories to support robust ML workloads.
Partake in architecture assessments, roadmap planning, and cross-team coordination.
Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.
Required Qualifications:
Proven experience in building and launching ML/AI systems in production environments.
Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
8–10+ years of experience in software or ML engineering.
Proficient in at least one major ML/AI programming language (Python preferred).
Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
Strong communication skills and keenness for transparent, positive collaboration.
Desired Skills:
Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
Passion for API-centric products and robust engineering regulations.
Team & Workplace Environment:
A collaborative, experienced engineering organization.
Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
Strong partnership with Product for exploration, prioritization, and architecture design.
Addressing impactful challenges in data, APIs, and intelligent system design.
High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.
About Ubiminds:
Our Culture:
Prioritizing people's needs above all else.
Cultivating a culture of continual self-improvement.
Valuing initiative, ownership, and dedication.
Emphasizing teamwork and collective growth.
Delivering exceptional services and surpassing expectations.
Promoting openness, honesty, and transparency at all times.
Perks and Benefits:
Integrated into a product-focused company with full team support in various areas.
Possess your own MacBook as part of a remote-first policy.
Access to tech discussions, events, and an esteemed community of engineers.
Free English lessons with a native speaker to enhance language skills.
Referral incentive for recommending new team members.
Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.
Recruitment Process:
Initial chat with a Tech Recruiter about the role and your background.
Completion of a behavior and code assessment as part of the tech evaluation.
Assessment review by Ubiminds' CS Manager.
Interview with the Hiring Manager before receiving an offer.
Completion of a background check throughout the hiring process.
Engineering Manager (431)
Responsibilities include mentoring and developing engineers, ensuring high levels of productivity and reliability within the engineering teams, setting and maintaining engineering standards, leading team roadmaps and priorities in collaboration with other departments, designing and maintaining APIs, backend services, systems, and supporting user-facing experiences, overseeing partner integrations from start to finish, managing engineering tasks while also contributing technically when necessary, planning and executing work on monthly and quarterly timelines, liaising with external partners for efficient solutions, leading recruitment efforts, and facilitating team growth in multiple streams.
Key requirements include proven experience in leading engineering teams that consistently deliver production software, competence in balancing people management with technical contributions, expertise in designing and building scalable APIs, hands-on experience in developing AI or ML features/projects, adeptness in planning and executing projects over different time horizons, exceptional organization and collaboration skills, proficiency in English communication, and deep knowledge of Ruby or Rust programming languages.
Desirable qualifications include experience in regulated or data-heavy environments, familiarity with event-driven architectures or messaging systems, prior experience mentoring other tech leads or engineering managers, exposure to distributed or offshore team environments, and a background in platform or integration-driven product development.
The chosen candidate will demonstrate leadership over two engineering teams of varying seniority levels, emphasizing ownership, collaboration, autonomy, and continuous improvement within the teams. Benefits of this role include comprehensive healthcare coverage, FSA options, a flexible PTO policy, pre-tax commuting benefits, and a home office stipend for ensuring comfortable remote work arrangements.
The interview process involves an initial discussion with the Tech Recruiter, followed by the client's recruitment process, ultimately leading to a formal job offer. Ubiminds may utilize AI tools to aid in specific hiring processes, such as application review or resume analysis, although final decisions are made by human evaluators. For inquiries concerning data processing, candidates are encouraged to reach out for further clarification.