Software Engineering MTS

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Role

We are looking for a Software Engineer with 4–6 years of experience, strong engineering and software development skills, and a deep interest in AI/ML, automation, and data engineering. In this role, you’ll be a key member of the Global Field Readiness Technology team, responsible for building and maintaining learning technology, data pipelines, services, and systems that power Salesforce’s learning and data ecosystem.

What you will be doing:

Design, develop, and support data-driven systems for automating and optimizing learning processes.

Build scalable and maintainable infrastructure.

Leverage AI/ML models to surface insights and streamline decision-making.

Implement and manage CI/CD pipelines, configuration management, and automated deployment processes.

Collaborate with cross-functional teams ( innovation, operations, analytics) to deliver innovative solutions that drive business value.

Review code, provide technical guidance, and share knowledge across the team.

Uphold high standards of engineering excellence through rigorous testing, monitoring, and automation.

What you should have:

4–6 years of professional software engineering experience.

Strong programming experience in such as Java or Python , particularly for data pipelines, automation, or backend systems.

Solid experience with Linux, cloud platforms (e.g., AWS, GCP, or Azure), and networking fundamentals.

Hands-on with containerization and orchestration tools such as Docker and Kubernetes.

Experience with CI/CD tools such as Jenkins, Spinnaker, or similar.

Understanding of cloud-based system design: scalability, monitoring, disaster recovery, performance optimization (e.g., Airflow).

Proficient in working with data platforms (e.g., Databricks, Snowflake), including data modeling, ETL tools, data quality, and performance tuning.

Exposure to AI/ML technologies and a willingness to learn and apply new models and tools to real-world problems

Leverage AI tools (like Cursor) to enhance development efficiency, improve code quality, and streamline workflows

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Nice to have:

Background in Computer Science, Finance, and accounting systems, or enterprise applications related to financial operations.

Experience integrating or supporting ERP systems (e.g., Workday, Oracle ERP)

Exposure to data science tools (e.g., Jupyter, scikit-learn, pandas, Spark).

Experience working with ETL and data integration tools, such as Informatica, for orchestrating robust and scalable data pipelines.

Hands-on experience with Apache Airflow for building, scheduling, and monitoring complex data workflows.

Strong sense of ownership and ability to lead initiatives end-to-end.

Excellent communication and stakeholder management skills.

Education: BS or MS in Computer Science, Engineering, or a related technical discipline (or equivalent experience).

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.