Software Integration Architect
6 days ago
Chevron is a leading energy company with a commitment to innovation and technology.
We are seeking an experienced Integration Software Engineer to join our team and contribute to the design, development, and maintenance of API & Integration solutions using Microsoft Azure Integration Services.
In this role, you will have the opportunity to work with cross-functional teams to gather requirements, optimize performance, and ensure scalability and reliability.
ResponsibilitiesThe key responsibilities of this role include:
- Designing, developing, testing, and maintaining API & integration solutions using Microsoft Azure Integration services.
- Collaborating with cross-functional teams to gather requirements and design integration solutions that meet business needs.
- Implementing and managing data integration processes, ensuring data accuracy and consistency across systems.
- Optimizing API & integration solutions for performance, scalability, and reliability.
- Troubleshooting and resolving integration issues in a timely manner.
To be successful in this role, you will need:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
- Proven working experience (5+ years) as Software Engineer with integration experiences.
- Skilled in Microsoft Azure Integration services, including Azure Logic Apps, Azure Functions, Azure API Management, Event Grid, Azure Data Factory and Azure Service Bus.
- Skilled in middle-tier technologies such as .NET.
- Skilled with RESTful APIs, SOAP, and other web services.
- Experience with data integration tools and techniques (e.g., ETL processes, data mapping).
- Skilled in relational databases (e.g., SQL Server, PostgreSQL). Ability to model, build, and manage relational schemas and performance. Ability to create and optimize queries to meet integration requirements.
- Experience with version control systems (e.g., Git).
PREFERRED QUALIFICATIONS:
- Experience with data lake technologies like Azure Data Lake, AWS Lake Formation, or Google BigQuery.
- Experience working with non-relational databases.
- Experience with automated testing. Knowledge and experience applying multiple levels of testing (Unit, Integration, and End to End).
- Experience with monitoring & logging application performance in cloud environments.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and cloud deployments.
- Understanding of security best practices in integration solutions.
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