Similar Jobs
Machine Learning • Natural Language Processing
Welo Data seeks contributors with native Latvian fluency for AI-related tasks, focusing on data annotation and evaluation for technology clients. Remote work offered.
Top Skills:
AI
Machine Learning • Natural Language Processing
Evaluate e-commerce data and rate its usefulness while following specific guidelines. Assist in advancing AI technology through data annotation.
Top Skills:
AIData AnnotationData Rating
Machine Learning • Natural Language Processing
Review and rate data quality for AI projects, focusing on filters and options that aid customer decision-making, ensuring relevance and accuracy.
Top Skills:
AIData AnnotationData RatingLocalizationWeb Research
Requirements
- Proven experience (3+ years) with MuleSoft Anypoint Platform (CloudHub, Runtime Fabric, API Manager).
- Solid understanding of API development, RESTful services, RAML, and DataWeave.
- Experience with integration patterns, event-driven architecture, and middleware platforms.
- Good understanding of CI/CD processes and tools (e.g., Jenkins, Git, Maven).
- Familiarity with JSON, XML, SOAP, JDBC, JMS, and message queues.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder collaboration abilities.
- Ability to work independently and manage multiple priorities in an agile environment.
Preferred / Nice to Have:
- MuleSoft Certification (e.g., MuleSoft Certified Developer – Level 1).
- Experience with Salesforce, SAP, or other enterprise systems integrations.
- Familiarity with monitoring tools (e.g., Splunk, Anypoint Monitoring).
- Understanding of OAuth 2.0, SAML, and other authentication mechanisms.
- Knowledge of cloud environments like AWS or Azure.
Responsibilities
- Analyze business and system integration requirements, translate them into technical designs using MuleSoft.
- Design, develop, test, and maintain integration flows using MuleSoft Anypoint Platform (API-led connectivity, ESB, etc.).
- Work closely with business stakeholders, architects, and developers to gather requirements and define optimal integration solutions.
- Monitor, troubleshoot, and resolve integration issues and performance bottlenecks.
- Ensure adherence to integration best practices, standards, and security protocols.
- Participate in the full software development lifecycle (SDLC), including requirements, design, development, testing, and deployment.
- Document APIs, data mappings, integration flows, and configuration.
- Support production and non-production environments, including bug fixing and performance tuning.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
