Director, Software Development Delivery
At R3, we envision a world where value flows freely, and business is conducted securely. Our mission is centered on empowering an open, trustworthy, and sustained digital economy. As a scaling organization with the resilience of a startup, we value every idea and embrace the diverse challenges each day brings.
We seek a forward-thinking leader well-versed in software development principles, architectural design, and emerging technologies to join our professional services team. The Director of Software Development Delivery role is central to shaping our product's technical direction and fostering innovation across the organization.
Key Duties:
** Leadership and Team Supervision:
Lead, guide, and motivate a team comprising software developers and architects.
Cultivate a culture of collaboration, innovation, and continuous learning.
Offer support and mentorship to team members, aiding in their personal and professional growth.
Enhance performance through effective goal setting, feedback mechanisms, and evaluations.
** Technical Strategy and Planning:
Articulate and champion the technical vision and strategic framework for R3's products and solutions.
Collaborate with diverse teams to synchronize technical endeavors with business objectives.
Stay updated on industry trends, emerging technologies, and best practices to influence decision-making and drive innovation.
Establish and uphold architectural standards, guidelines, and best practices to ensure scalability, reliability, and security.
** Software Development Lifecycle:
Supervise the full software development lifecycle, encompassing requirements gathering, deployment, and maintenance.
Uphold coding standards, quality benchmarks, and development best practices.
Propel continual enhancements in development processes, tools, and methodologies to amp up efficiency and productivity.
Evangelize an ethos of agility and flexibility, advocating for iterative development and rapid prototyping.
** Collaboration and Stakeholder Interaction:
Work closely with product management, engineering, and other teams to deliver top-notch software solutions.
Cultivate solid relationships with stakeholders, customers, and partners to grasp their needs and desires.
Act as a technical consultant offering insights and recommendations for strategic decision-making and product roadmap structuring.
Required Qualifications:
- Demonstrated experience and skill in leadership and management within software development and architecture realms.
- Profound knowledge of software development methodologies, design patterns, and architectural principles.
- Practical exposure to modern development languages, frameworks, and tools like Java, Python, and JavaScript.
- Sound grasp of distributed systems, cloud computing, and microservices architecture.
- Exceptional communication, collaboration, and interpersonal skills.
- Ability to thrive in a fast-paced, dynamic setting with an adeptness at adapting to changing priorities.
- Background in blockchain/DLT technology or financial services arena is advantageous.
R3 is a preeminent enterprise technology firm specializing in digital solutions for regulated financial sectors, augmenting market efficiency, transparency, and connectivity. Our commitment is building progressive markets and nurturing a dependable, trustworthy, and perpetual digital economy.
R3ers are rooted in our core values – Collaborative, Ownership, Bold, and Customer First – as reflected in our flagship DLT platform, Corda, and the R3 Digital Markets suite being embraced by leading financial market infrastructures (FMIs), exchanges, central banks, and commercial entities.
R3 proudly fosters an equal opportunity workplace that celebrates diversity and inclusivity across all attributes. Our support extends to individuals of varying ethnicities, races, genders, sexual orientations, origins, disabilities, veterans, and cultures. At R3, we uphold an ethos that prizes individuality over conformity, viewing our collective variances as the cornerstone of our strength. If intrigued by the opportunity at R3, despite not meeting all criteria mentioned above, kindly share your CV/resume with us for potential consideration. We are always eager to connect with adventurous, collaborative individuals eager to join 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.