Software Engineer (Backend) - MTS

Salesforce•Redwood City, CA

8d•$117,200 - $194,200•Hybrid

About The Position

Salesforce is seeking high-potential engineers eager to accelerate their careers within a culture that champions technical excellence, operational rigor, and rapid professional development. Join the Informatica IDMC team, a strategic pillar of Salesforce, pioneering the next generation of Agentic data integration and Data Foundation architecture. This is a core backend engineering role with full end-to-end ownership to create the context for Data Platform. You will contribute production-grade code immediately, operating high-throughput, highly available services that form the foundation of our data cloud. You will be a builder, a learner, and a contributor to a platform that handles data at a scale most engineers never get to touch.

Requirements

2–4 years of full-time software development experience in a product or enterprise environment, preferably focused on building and maintaining cloud-native backend services.
Deep hands-on experience with Java (or a similar JVM language).
Strong understanding of object-oriented design, concurrent programming, and writing performance-critical, production-grade code.
Proven experience designing, building, and operating scalable, high-throughput RESTful APIs within a cloud environment.
Solid grasp of microservices architecture, service discovery, and message queue or event-driven patterns.
Familiarity with at least one major cloud platform (AWS, Azure, or GCP) is essential.
Expert knowledge of RDBMS concepts, including advanced SQL writing, query optimization, and transaction management.
Working experience with at least one NoSQL database (e.g., Cassandra, MongoDB) is preferred.
Practical experience with Docker and basic familiarity with Kubernetes for service deployment and scaling.
Exposure to distributed processing technologies like Apache Spark or Kafka.
Understanding of distributed systems fundamentals and data movement at scale.
Experience implementing robust automated tests (unit, integration, and contract tests) using frameworks like JUnit or TestNG.
A strong commitment to quality, security, and maintainability.
Hands-on proficiency with source control (Git), modern CI/CD pipelines, and familiarity with Agile/Scrum methodologies.
Strong analytical thinking, attention to detail, and genuine curiosity when debugging or designing complex solutions.
Clear written and verbal communication — able to articulate technical decisions, ask sharp questions, and collaborate effectively across a distributed team.

Nice To Haves

Knowledge of Generative AI and LLMs, with an ability to apply these technologies to create intelligent, automated solutions, along with familiarity with AI-assisted development tools (Claude Code, Cursor, or similar) and interest in how LLMs can be applied to automate engineering or data workflows.
Awareness of Data Lake concepts, open table formats (Iceberg, Delta Lake), or data pipeline patterns.
Any exposure to data integration, data quality, or metadata management concepts — even through coursework or side projects.
Familiarity with Salesforce products or experience integrating SaaS platforms is a bonus.

Responsibilities

Drive the design, development, testing, and deployment of well-scoped features within IDMC's Data Integration /Data Foundation platform.
Take full ownership of your work from initial requirement through to production deployment, monitoring, and operational health.
Develop and maintain reliable, high-performance code within a cloud-native microservices architecture.
Champion code quality and maintainability by writing clean, well-tested, and peer-review ready code.
Understanding of data patterns of structured and unstructured and read and write from any systems through APIs, drivers , SDKS with high performance.
Contribute to building data pipelines, APIs, and integration workflows that move and transform data across cloud environments.
Learn the fundamentals of large-scale data movement and develop expertise in this space over time.
Implement robust automated unit, integration, and regression tests as a first-class part of your development workflow.
Actively contribute to high-quality standards by rigorously testing your own features and providing constructive feedback through code reviews.
Actively engage in CI/CD pipelines, code reviews, and Agile processes.
Apply best practices for deployment, monitoring, and effective incident response to maintain system reliability.
Work closely with senior engineers, LMTS, and Product Managers to understand requirements, ask sharp questions, and deliver solutions that align with the broader platform architecture.
Invest in continuous technical growth by exploring new tools, participating in critical design discussions, and developing deep expertise in a specific area of the platform (e.g., data movement, service performance, AI-assisted development).