Engineering Manager - Mobile (React Native)
Status
Palo Alto, USA
Full time
Office
Compensation is not specified
Role
Engineering Manager
Description
BitGo, a prominent infrastructure provider of digital asset solutions focusing on institutional clients, is seeking an Engineering Manager skilled in React Native to lead the Mobile team in developing cross-platform applications that enhance customer experiences.
This role necessitates full-time presence at the Palo Alto office to enable collaborative teamwork and innovative problem-solving.
Responsibilities:
- Lead and nurture a team of proficient engineers, fostering a culture of open communication, craftsmanship, and accountability.
- Ensure high quality and timely delivery of the team’s projects.
- Supervise the development of advanced iOS and Android applications using React Native.
- Collaborate with diverse teams to introduce new features.
- Act as a liaison connecting engineering teams with product operations, support, compliance, and business stakeholders.
- Be responsible for key performance indicators related to internal operations efficiency, client experience, and service uptime.
- Encourage comprehensive documentation and knowledge sharing.
- Work alongside management and product teams to strategize, estimate, and prioritize goals on the roadmap.
- Align team goals with overall company objectives and client expectations.
Skills & Experience:
We seek individuals who embody our company values of open communication, transparency, taking ownership, and high craftsmanship and share our mission of establishing trust in digital assets.
Required:
- Minimum of 6 years of experience in React Native mobile app development.
- 8+ years as a software engineer, with at least 2 years in a managerial position overseeing engineers.
- Proficient debugging skills and understanding of complex system interconnections.
- Comprehensive knowledge of mobile development life cycle.
- Familiarity with UI/UX standards and mobile design principles.
- Demonstrated capability in sourcing and employing top engineering talent.
- Experience collaborating across teams to achieve departmental objectives.
- Decisiveness, quick adaptability, and effective communication skills.
- Bachelor’s degree in computer science or related technical field.
- Strong problem-solving skills, algorithm design, and complexity analysis.
- Ability to work autonomously in a fast-paced environment.
Preferred:
- Experience in native mobile development (iOS/Android).
- Familiarity and interest in cryptocurrencies and blockchain technology.
- Experience in the financial industry.
Join BitGo if you want to be part of a team revolutionizing financial markets through innovation, technological expertise, and a drive for excellence. Be prepared to collaborate with talented individuals who embody values of ownership, craftsmanship, and open communication.
Pay Transparency:
Depending on level and location, compensation ranges between $180,000 to $240,000 USD base salary, with additional benefits including equity, an annual performance bonus, and comprehensive health insurance for employees and dependents. Added benefits involve a 401k company match, parental leave, free commuter pass, custom meals and snacks, suitable work equipment, and a motivating startup environment.
Cryptocurrencies are reshaping the financial landscape. By joining BitGo, you will have the chance to be part of a team that significantly impacts investing.
Skills Required
BitGo
Website
www.bitgo.comCompany size
Not specified
Location
United States
Description
Not specified
Status
Peeter Luik
Software Developer
Part time
Remote
I’m actively looking for a native Russian speaker who can expertly conduct or participate in job interviews—especially those requiring strong communication, technical understanding, and professional presence. This person should feel at ease discussing software engineering, or related topics, while also being able to assess a candidate’s clarity, depth, and overall fit. If you’re a fluent Russian speaker with the confidence and experience to shine in a technical interview setting, I’d be excited to connect and explore the opportunity with you.
Payment in Crypto
Frank Ralph
Architect designers
Sydney, Australia
Sydney, Australia
Part time
Remote
AutoCAD
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Payment in Crypto
Gabenius
Full-time Hackintosh iOS development
Full time
Hybrid
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.
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.
Payment in Crypto
Ubiminds
Senior Data Engineer (432)
Full time
Remote
Interested in advancing your career internationally? We are here to help!
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.
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.
Ubiminds
Engineering Manager (431)
USA
USA
Full time
Remote
Ubiminds is seeking an Engineering Manager to join their team. This role requires a blend of strong leadership skills and hands-on technical expertise. The ideal candidate will excel in team building, software delivery, and taking ownership of end-to-end project outcomes.
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.
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.