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Job opportunities for disruptors


PAAS Lead Software Engineer.

Job ID: PAASL012023

Location: Remote

Experience: 5 - 10 years

Academic Information: Software engineer or Computer science. Master is a plus.

Job Responsibilities: We need a committed person capable of developing user-friendly, cool, and amazing cloud-native platforms for artificial intelligence applications.

Job Description: We are looking for a platform as a service lead software engineer to produce scalable software solutions for our Kubernetes Stack for composable applications platform. You will be responsible for the full software development life cycle, from conception to deployment.
This position reports to the CEO and will work in a team of enthusiastic data scientists and software engineers.
Our team is all-remote, and we are hiring for this role across all locations in the US and LATAM.
At a high level, these are the main objectives for the job:
· You will design, build, and test significant features in the Kubernetes platform as a service for AI integrating applications, databases, and storage systems.
· You will build deep expertise in everything "cloud-native" -you will be working with state-of-the-art technologies as well as building a product that makes enterprise customers succeed in their "cloud-native" AI implementations.
· You will work with and contribute to the cloud-native open-source community.

Qualifications: Expertise in developing, testing, and debugging production-quality, scalable, multi-threaded, concurrent systems.
· Knowledge and interest in computer systems and the latest technologies.
· Experience with distributed systems concepts and client-server architectures.
· The ability to learn new technologies quickly.
· Strong computer science fundamentals (data structures, algorithms, and concurrency).
· You are passionate about code quality, extensibility, coding standards, testing, and automation.
· You are impact and result-driven and biased towards execution.
· BS, MS or Ph.D. in Computer Science, Computer Engineering, or equivalent industry experience.
· Write effective APIs.
· Create security and data protection settings.
· Write technical documentation.
· Work with data scientists and analysts to improve the software.
· Good communication skills – both written and verbal.

Nice To Have :
· Experience developing in Go or/and Nodejs, C++, Java
· Experience with databases and/or storage systems - especially in the public cloud.
· Experience developing for and on containers, container schedulers, and orchestration platforms
· Experience participating and contributing to open source
· Experience with software development best practices including versioning, continuous integration, issue tracking, and code sharing.


Availability: Immediately - Full-time - part-time - consultant

Apply Here

“We are lucky, because we have a very good company that is supporting us.”

— Gerardo U., International Monetary Fund

Full Stack Software Engineer

Job ID: FULLSTACK2022

Location: Remote

Experience: 2 - 10 years

Academic Information: Software engineer, Computer science, or similar.

Job Responsibilities: We need a committed person capable of developing user-friendly, cool, and amazing cloud-native platforms for artificial intelligence applications.

Job Description: We are looking for a platform-as-a-service software engineer to produce scalable software solutions for our Kubernetes platform. You will be responsible for the entire software development life cycle, from conception to deployment.
This position reports to the IT Director, and will be working in a team of enthusiastic software engineers.
Our team is all-remote, and we are hiring for this role across all locations in the US and LATAM.
At a high level, these are the main objectives for the job:
· You will design, build, and test significant features in the Kubernetes platform as a service for AI integrating applications, databases, and storage systems.
· You will build deep expertise in everything "cloud-native" -you will be working with state-of-the-art technologies as well as building a product that makes enterprise customers succeed in their "cloud-native" AI implementations.
· You will work with and contribute to the cloud-native open-source community.
· Expertise in developing, testing, and debugging production-quality, scalable, multi-threaded, concurrent systems.
· Interest in computer systems and the latest technologies.
· Experience with distributed systems concepts and client-server architectures.
· The ability to learn new technologies quickly.
· Strong computer science fundamentals (data structures, algorithms, and concurrency).
· You are passionate about code quality, extensibility, coding standards, testing, and automation.
· You are impact and result-driven and biased towards execution.
· Write effective APIs.
· Knowledge of front-end frameworks.
· Create security and data protection settings.
· Write technical documentation.
· Work with data scientists and analysts to improve the software.
· Good communication skills – both written and verbal.


Nice To Have :
· Experience in frameworks ReactJs or/and VueJs, AngularJs.
· Experience developing in Javascript or/and Typescript, Python, Java.
· Experience with databases Postgresql, MongoDB, and SQLServer.
· Experience developing for and on containers, container schedulers, or/and Kubernetes.
· Experience participating and contributing to open source.
· Experience with software development best practices, including versioning, continuous integration, issue tracking, and code sharing.


Availability: Immediately - Full-time - part-time - consultant

Apply Here

“The level of commitment to achieve results is excellent. Even when facing unforeseen circumstances that made the implementation of the proposed solution extremely difficult, the firm put all the extra effort to make things work.”

— Luis T., Inter-American Development Bank

Data Scientist

Job ID: DAT01-23

Location: Remote

Experience: 2 - 10 years

Academic Information: The following degrees are considered:
Computer science
Data science/computer and data science
Engineering
Mathematics
Mathematics and operational research
Physics
Statistics.
You'll be expected to know some programming languages such as R, Python, SQL, C or Java and have strong database design and coding skills.

Job Responsibilities:
Work closely with the business to identify issues and use data to propose solutions for effective decision-making.
Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers, or the broader organization Use machine learning tools and statistical techniques to produce solutions to problems.
Test data mining models to select the most appropriate ones for use on a project.
Maintain clear and coherent verbal and written communication to understand data needs and report results.
Create clear reports that tell compelling stories about how customers or clients work with the business.
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.
Horizon scan to stay up to date with the latest technology, techniques, and methods.
Conduct research from which you'll develop prototypes and proof of concepts.
Build data apps using Python & Flask


Job Description: The person will extract, analyze and interpret large amounts of data from various sources, using algorithmic, data mining, artificial intelligence, machine learning, and statistical tools to make it accessible to businesses through our marketplace. You'll showcase products using clear and engaging language.
This position reports to the IT Director and will be working in a team of enthusiastic software engineers.
Our team is all-remote, and we are hiring for this role across all locations in the US and LATAM.
At a high level, these are the main objectives for the job:
Data science is a collaborative area, with many people sharing their methodologies and insights, so you should be prepared to share your ideas and solutions with your wider team.
The job is remote. There are also opportunities to work overseas.
The expected spoken language is English. Spanish is a plus.

Expected Skills :
Excellent analytical and problem-solving skills.
Experience in database querying and analysis tools, such as Big Query, Spark, Databricks, and MongoDB.
Exceptional communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
Effective listening skills to understand the requirements of the business.
Drive and the resilience to try new ideas if the first one doesn't work - you'll be expected to work with minimal supervision.
Planning, time management, and organizational skills.
The ability to deliver under pressure and to tight deadlines.
Great attention to detail.
Teamworking skills and a collaborative approach to sharing ideas and finding solutions.
Be familiar with TDSP and CRISP-DM methodologies.


Availability: Immediately - Full-time - part-time - consultant

Apply Here

“The project had a very short deadline, but thanks to the organization of the sprints and quick response times to requests, we were able to achieve that goal.”

— Daniela M., Grupo Argos

We are Disruptive, Diverse and Inclusive

Our customers seek out Disruptica not to deal with disruption, but to lead it.

  • Our motto


    Our mission is to provide the tools, knowledge, and technology for businesses to compete in the age of AI and create prosperity for everyone.

  • Our philosophy


    Authentic & committed people deliver outstanding results, and purposed & committed teams change the world. We seek the balance of body, mind, and spirit to deliver our mission as a team.

  • Who are we?


    We are a next-generation software lab that provides artificial intelligence research & development as a service for private and public organizations to go beyond their traditional mindset and compete in the age of AI to deliver greater value and business opportunities for everyone.


  • Why us?


    We are the only software lab that has developed a proven framework for AI R&D, a network of worldwide super-specialized providers, and a proprietary platform for our customers to compete in the age of AI aka “the disruptive story”.