Software
Architects
Salesforce
Machine Learning
Front End
Back End
Full Stack

Architects, AWS, Azure, GCP, CloudFormation, Terraform, Ansible, Infrastructure as Code (IaC), Microservices Architecture, API Design

Salesforce, Salesforce CPQ, Salesforce DX, Sales Cloud, Service Cloud, Marketing Cloud, Einstein Analytics, Salesforce Lightning, Apex, Visualforce, SOQL, Salesforce Heroku

Machine Learning, Python, R, Scikit-learn, TensorFlow, PyTorch, Jupyter Notebook, Spark, Hadoop, Data wrangling, Model training, Model evaluation, Model deployment.

Front End, HTML, CSS, JavaScript, React, Angular, Vue.js, Bootstrap, Materialize, Git, Version control, Responsive design, User Interface (UI) development, Cross-browser compatibility

Back End, Python, Java, Node.js, PHP, Ruby, SQL, MySQL, PostgreSQL, NoSQL databases, APIs, Server-side development, Data access, Business logic

Full Stack, HTML, CSS, JavaScript, Python (or Java / Node.js / PHP / Ruby), React (or Angular / Vue.js), SQL, Git, Version control, Responsive design, UI development, Server-side development, Data access, Business logic, Full-stack development
Product
Product Managers (0 to PMF)
Languages: English (strong communication)
Tools: User research tools (surveys, interviews), Competitive analysis tools, Project management tools (Jira, Asana), Market research tools
Processes: User experience (UX) design principles, Product roadmap development, Product launch strategy, Minimum Viable Product (MVP) development, Go-to-Market (GTM) strategy

Product Owners (Agile, Scrum, Kanban)
Languages: English (strong communication)
Tools: Agile frameworks (Scrum, Kanban), User story writing, Product backlog management, Sprint planning & execution, Collaboration tools (Slack), User acceptance testing (UAT), Prioritization techniques

Product Designers
Tools: Design software (Figma, Sketch, Adobe XD)
Processes: User research methods (interviews, usability testing), User persona development, User flow creation, Wireframing & prototyping, Design thinking methodologies, Design systems development

UX/UI
Tools: Similar to Product Designers + UI/UX design principles (visual design, interaction design), Usability testing tools, UI prototyping tools, Accessibility guidelines (WCAG)

Scrum Masters
Languages: English (strong communication)
Tools: Agile frameworks (Scrum), Scrum ceremonies (Sprint Planning, Daily Scrum, Sprint Review, Retrospective), Agile principles & practices, Facilitation techniques
Processes: Team coaching & mentoring, Process improvement

Business Analysts
Languages: English (strong communication)
Tools: Business process modeling tools (BPMN), Requirements gathering techniques, User story writing, Use case development, Data analysis tools (Excel)
Processes: Business stakeholder management, Change management
Mobile
Mobile Architects
Languages: Strong understanding of mobile development languages (e.g., Java/Kotlin for Android, Swift/Objective-C for iOS)
Tools: Mobile development frameworks (e.g., Android Studio, Xcode), Design tools (optional: Figma, Sketch), API development tools (e.g., Postman), Cloud platforms (AWS, Azure, GCP - optional)
Processes: Designing & defining mobile app architecture, Leading technical decision making, Optimizing mobile app performance & scalability, Ensuring maintainability & security

Mobile Technical Leads
Languages: Similar to Mobile Architects + experience with mobile development languages
Tools: Similar to Mobile Architects + familiarity with mobile testing frameworks & tools
Processes: Leading mobile development teams, Managing technical roadmaps & priorities, Collaborating with designers & product managers, Ensuring code quality & best practices

Mobile Engineers
Languages: Mobile development languages (e.g., Java/Kotlin for Android, Swift/Objective-C for iOS)
Tools: Mobile development frameworks (e.g., Android Studio, Xcode), Version control systems (Git), Integrated development environments (IDEs)
Processes: Developing & implementing mobile app features, Writing clean & maintainable code, Unit testing & debugging code

Mobile Testers
Tools: Mobile testing frameworks (e.g., JUnit for Android, XCTest for iOS), Mobile device emulators & simulators, Performance testing tools (optional)
Processes: Manual & automated testing of mobile apps, Identifying & reporting bugs, Ensuring app functionality across different devices & platforms

Mobile Cross-Platform Developers
Languages: Cross-platform development frameworks (e.g., React Native, Flutter) or Hybrid frameworks (e.g., Xamarin)
Tools: Cross-platform development tools & IDEs, Version control systems (Git)
Processes: Building mobile apps for multiple platforms using a single codebase, Balancing platform-specific features & development efficiency

Mobile Designers
Tools: Design software (Figma, Sketch, Adobe XD), Mobile design tools (e.g., Adobe XD for mobile), User research methods (interviews, usability testing)
Processes: Designing user interfaces (UI) for mobile apps, User experience (UX) research & design, Creating mockups & prototypes, Collaborating with developers & product managers
Data
Data Scientists
Data Engineers
Artificial Intelligence Engineers
DBA's Analysts
Business Intelligence

Data Scientist, Python, R, Jupyter Notebook, TensorFlow, scikit-learn, Exploratory Data Analysis (EDA), Statistical Modeling, Machine Learning, Deep Learning

Data Engineer, Python, Java, Scala, Hadoop, Spark, Kafka, AWS, Azure, GCP, Data Ingestion, Data Transformation, Data Warehousing, Data Pipelines
Artificial Intelligence Engineer, Python, R, TensorFlow, PyTorch, Keras, Natural Language Processing (NLP), Computer Vision, Deep Learning, Robotics
DBA Analyst, SQL, PL/SQL, MySQL, Oracle, SQL Server, Database Administration, Database Security, Performance Tuning, Data Backup & Recovery
Business Intelligence, SQL, Tableau, Power BI, Qlik Sense, Data Visualization, Data Analysis, Reporting, Dashboarding, Data StorytellingDevOpsDevOps Evangelists
Languages: English (strong communication)
Tools: Collaboration tools (Slack, Confluence), Presentation tools (PowerPoint, Keynote), DevOps automation tools (e.g., Jenkins, GitLab CI/CD)
Processes: Building awareness & buy-in for DevOps practices, Identifying & quantifying DevOps benefits, Training & empowering IT professionals

DevOps Engineers/Testers
Languages: Scripting languages (Python, Bash), Markup languages (YAML, JSON)
Tools: Version control systems (Git, Mercurial), Configuration management tools (Ansible, Chef, Puppet), Infrastructure as Code (IaC) tools (Terraform, CloudFormation), Continuous Integration/Continuous Delivery (CI/CD) tools (Jenkins, GitLab CI/CD), Testing frameworks (JUnit, Selenium)
Processes: Building & automating infrastructure, Automating builds, tests, & deployments, Monitoring & troubleshooting deployments

DevSecOps Engineers
Languages: Similar to DevOps Engineers/Testers + Security best practices & tools
Tools: Security scanning tools (SAST, DAST), Vulnerability management tools, Secrets management tools
Processes: Integrating security practices into DevOps lifecycle, Shifting security left (Security by Design)

Cloud Engineers
Languages: Scripting languages (Python, Bash), Cloud provider specific languages/tools (AWS CLI, Azure PowerShell, GCP Cloud SDK)
Tools: Cloud provider platforms (AWS, Azure, GCP), Infrastructure as Code (IaC) tools (Terraform, CloudFormation), Containerization technologies (Docker, Kubernetes)
Processes: Designing & deploying cloud infrastructure, Managing cloud resources, Automating cloud deployments

Release Managers
Tools: Project management tools (Jira, Asana), Release management tools (Artifactory, Nexus), Version control systems (Git)
Processes: Planning, scheduling, & executing software releases, Managing release dependencies & risks, Ensuring smooth & successful deployments

Experience Assurance (XA) Professionals
Tools: Monitoring & logging tools (Prometheus, ELK Stack), Performance testing tools (JMeter, LoadRunner), User experience monitoring tools (AppDynamics, Dynatrace)
Processes: Monitoring application performance & user experience, Identifying & resolving performance issues, Ensuring application stability & reliability

Utility Technology Player
Languages: Scripting languages (Python, Bash), Familiarity with various DevOps tools
Tools: Broad range of DevOps tools based on team needs (Version control, Configuration management, CI/CD, etc.)
Processes: Scripting & automating tasks, Troubleshooting & problem-solving, Supporting various DevOps initiatives
Testing

Data
Data Scientists
Data Engineers
Artificial Intelligence Engineers
DBA's Analysts
Business Intelligence

Data Scientist, Python, R, Jupyter Notebook, TensorFlow, scikit-learn, Exploratory Data Analysis (EDA), Statistical Modeling, Machine Learning, Deep Learning

Data Engineer, Python, Java, Scala, Hadoop, Spark, Kafka, AWS, Azure, GCP, Data Ingestion, Data Transformation, Data Warehousing, Data Pipelines

Artificial Intelligence Engineer, Python, R, TensorFlow, PyTorch, Keras, Natural Language Processing (NLP), Computer Vision, Deep Learning, Robotics

DBA Analyst, SQL, PL/SQL, MySQL, Oracle, SQL Server, Database Administration, Database Security, Performance Tuning, Data Backup & Recovery

Business Intelligence, SQL, Tableau, Power BI, Qlik Sense, Data Visualization, Data Analysis, Reporting, Dashboarding, Data Storytelling
DevOps
DevOps Evangelists

Languages: English (strong communication)

Tools: Collaboration tools (Slack, Confluence), Presentation tools (PowerPoint, Keynote), DevOps automation tools (e.g., Jenkins, GitLab CI/CD)

Processes: Building awareness & buy-in for DevOps practices, Identifying & quantifying DevOps benefits, Training & empowering IT professionals

DevOps Engineers/Testers

Languages: Scripting languages (Python, Bash), Markup languages (YAML, JSON)

Tools: Version control systems (Git, Mercurial), Configuration management tools (Ansible, Chef, Puppet), Infrastructure as Code (IaC) tools (Terraform, CloudFormation), Continuous Integration/Continuous Delivery (CI/CD) tools (Jenkins, GitLab CI/CD), Testing frameworks (JUnit, Selenium)

Processes: Building & automating infrastructure, Automating builds, tests, & deployments, Monitoring & troubleshooting deployments

DevSecOps Engineers

Languages: Similar to DevOps Engineers/Testers + Security best practices & tools

Tools: Security scanning tools (SAST, DAST), Vulnerability management tools, Secrets management tools

Processes: Integrating security practices into DevOps lifecycle, Shifting security left (Security by Design)

Cloud Engineers

Languages: Scripting languages (Python, Bash), Cloud provider specific languages/tools (AWS CLI, Azure PowerShell, GCP Cloud SDK)

Tools: Cloud provider platforms (AWS, Azure, GCP), Infrastructure as Code (IaC) tools (Terraform, CloudFormation), Containerization technologies (Docker, Kubernetes)

Processes: Designing & deploying cloud infrastructure, Managing cloud resources, Automating cloud deployments

Release Managers

Tools: Project management tools (Jira, Asana), Release management tools (Artifactory, Nexus), Version control systems (Git)

Processes: Planning, scheduling, & executing software releases, Managing release dependencies & risks, Ensuring smooth & successful deployments

Experience Assurance (XA) Professionals

Tools: Monitoring & logging tools (Prometheus, ELK Stack), Performance testing tools (JMeter, LoadRunner), User experience monitoring tools (AppDynamics, Dynatrace)

Processes: Monitoring application performance & user experience, Identifying & resolving performance issues, Ensuring application stability & reliability

Utility Technology Player

Languages: Scripting languages (Python, Bash), Familiarity with various DevOps tools

Tools: Broad range of DevOps tools based on team needs (Version control, Configuration management, CI/CD, etc.)

Processes: Scripting & automating tasks, Troubleshooting & problem-solving, Supporting various DevOps initiatives
Testing
QA Automation Engineers

Languages: Scripting languages (Python, Java), Markup languages (YAML, JSON)

Tools: Automation frameworks (Selenium, Appium), Testing libraries (JUnit, pytest), Version control systems (Git)

Processes: Designing & developing automated test scripts, Integrating automated tests into CI/CD pipelines, Maintaining & improving test automation frameworks

QA Manual Testers

Tools: Testing management tools (Bugzilla, Jira), Test case management tools (TestRail), Mobile device emulators & simulators (optional)

Processes: Executing test cases manually, Identifying & reporting bugs, Exploratory testing, Usability testing (optional)

QA Lead

Languages: Strong communication & analytical skills

Tools: Testing management tools (Bugzilla, Jira), Test case management tools (TestRail)

Processes: Leading & mentoring the QA team, Defining testing strategies & plans, Managing test execution & reporting, Ensuring test case coverage & quality

Test Lead (might overlap with QA Lead)

Languages: Strong communication & analytical skills

Tools: Similar to QA Lead

Processes: Planning & executing testing activities, Managing testing resources & budgets, Reporting test results & progress to stakeholders

Performance Test Engineers

Tools: Performance testing tools (JMeter, LoadRunner), Monitoring tools (Prometheus, ELK Stack)

Processes: Designing & executing performance tests, Analyzing performance bottlenecks, Identifying & resolving performance issues, Ensuring application scalability

Usability Test Engineers

Tools: User research tools (surveys, interviews), Usability testing software (UserTesting, Lookback), User session recording tools

Processes: Planning & conducting usability testing sessions, Analyzing user behavior & feedback, Identifying & prioritizing usability issues, Improving the user experience (UX) of the application

Nearshore Talent Vetting and Validation

TeamStation AI focuses on securing the best IT talent through rigorous talent vetting and validation processes. We go beyond assessing technical skill sets to ensure candidates align with your business culture and goals. Our comprehensive evaluation includes problem-solving abilities, communication skills, and a strong commitment to excellence, guaranteeing top-tier professionals for your technology teams.

Proprietary AI Technology

Our success is a proven proprietary recruiting process automation using trained AI models that mitigate risk and close the gap in aligning the right candidate among 2.6 Million Technical Resources across Latin America.

Skill Testing

● Full challenge libraries & customizable challenges.● Multiple-choice & open-ended questions.● Automated grading and reporting● Video recordings.● Plagiarism detection.

Onboarding Automation

The critical success factor after identifying and hiring a technical resource is the ability to get them to produce effectively as soon as possible.Our platform sets a series of events that close the gap on everything that the resource needs to hit the ground running.

Technical Training

To retain, nurture, and motivate technical talent, we believe in investing in continuous training and improving cognitive effectiveness. We empower each valued member of the team to overcome challenges and communicate effectively.