Salesforce is looking to solve the problem of delivering high-quality, scalable enterprise API solutions that meet customer needs and support innovation in the AI-driven CRM space.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software development, with a focus on enterprise solutions.
- Strong proficiency in one or more programming languages (Java required, with the expectation of adapting to other languages as needed).
- Experience with AWS and microservices architecture.
- Experience with agile methodologies and DevOps practices.
- Experience in developing in a contract-first environment.
- Experience with event-driven architecture and technologies that interface with backend consumers (e.g. AWS Kinesis/SNS/SQS/EventBridge).
Responsibilities
- Design, develop, and deliver scalable and a robust enterprise API Gateway that scales across multiple product offerings.
- Establish and promote an API-first methodology across cross-functional teams to ensure consistency and quality in our API offerings.
- Drive the capability for parallel feature development and ensure incremental delivery of software.
- Lead and mentor a team of engineers, providing technical guidance and support.
- Collaborate with product managers, architects, and other stakeholders to understand requirements and translate them into technical specifications.
- Ensure the quality and performance of the codebase through code reviews, testing, and continuous integration.
- Drive the adoption of best practices in software development, including agile methodologies, DevOps.
Other
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Proven track record of delivering high-quality software solutions in a fast-paced environment.
- Proven ability to use a data-driven approach to continuous improvement and decision-making.
