Software Engineering (Full Stack & Data Science)
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Job CategorySoftware Engineering
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
This Role provides the opportunity to work with a highly energized technical team to deliver a CI system that services developers at scale. The Core Developer Productivity team at Salesforce is seeking talented and experienced Build and release engineers with a background in software development to develop services for and automate CI pipelines at Salesforce. Ideal candidates have experience in AI / ML and Developing/Implementation of secure CI / CD system at scale, and integrate with critical subsystems, strong understanding of code dependency management, test case analysis and setting up containers, logging and analytics.
This engineer will hit the ground running with a strong understanding of AI/ ML, Full stack development and proven CI/CD experience designing and implementing workflows to support automated builds, testing, code promotion, and deployment.
Our team is a group of ambitious, yet humble people across all disciplines and diverse backgrounds.
4+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions. Experience working as part of a data team working with mature data science products.
8+ years of experience in Full stack Application development
5+ years of experience developing Java (or other OO languages) applications
Good understanding of Machine Learning methods and Statistics, including ML project lifecycle and associated challenges at each stage of development. Research and implement appropriate ML algorithms and tools
Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark. Ability to write robust code in Python, Java and R.
They must have knowledge of at least one backend framework, such as Django, Spring,.Net, Express.js, or Rails, as well as at least one backend language, such as Java, C#, Ruby, or Python.
Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium, Mocha and QUnit
Experience with Terraform, K8s, micro-service development and Blue/Green deployments
Proven track record in building software and data products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies.
Applied experience designing, building and optimizing data pipelines, architectures and data sets.
Experience deploying, monitoring and maintaining data science products in cloud environments such as AWS or Microsoft Azure.
Strong communication skills and ability to interface well with other engineers, data scientists and product managers.
Passion, curiosity, solutions focus and independence.
Teams looking for this role:
Architect, design, develop, test and deliver highly scalable products using AI/ML.
Research & implement appropriate ML algorithms and tools; Develop machine learning applications according to requirements
Develop test strategies, design automation frameworks, and write unit/functional tests to drive up code coverage and automation metrics.
Operate optimally in the hybrid engineering model where engineers are expected to be able to design and execute the vital work to ensure quality in their own code as well as other engineers.
Work closely with a team of engineers, product managers, user experience experts and performance engineers
Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available.
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